Your impact

Handshake is actively seeking an Senior Data Scientist - Product Analytics specializing in Product, Growth, and/or Revenue analytics to support our Research and Development team, spearheading the measurement and analysis of product success. This pivotal role will play a crucial part in shaping Handshake’s overarching strategy and product roadmap. This position requires a strong blend of technical expertise, strategic thinking, and communication skills to guide our products' evolution and deliver maximum value to our three-sided marketplace, consisting of students, employers, and universities. This role reports to the Analytics Manager, embedded within the broader Data team, and you will work alongside a talented team of data scientists and analytics engineers. 

Your role

• Work side-by-side and partner strategically with a Research and Development Leadership, becoming a subject-matter expert in a given domain

• Contribute to a data-driven product strategy and own the corresponding analytics prioritization and roadmapping to execute on and measure the effectiveness of this strategy

• Own domain goal-setting, tracking, and reporting on progress and impact

• Lead experimentation within a given vertical, working to ensure that tracking is instrumented proactively and scaling our ability to efficiently and reliably run experiments

• Collaborate with Analytics Engineering and Relevance teams to define metrics and build out foundational data models

• Contribute to the vision and strategy for product analytics and the wider data organization at Handshake

• Lead by example to build a culture of accountability and rigor to substantiate proven business impact

• Advocate for the millions of students and employer users on Handshake by communicating data insights and recommendations to marketing, product and leadership teams

Your experience

• Proven experience in using data to drive product development and decision-making and direct experience working with engineers and wider product teams

• Strong communication and presentation skills, including the ability to translate data-related concepts and results for leadership and less technical stakeholders

• Experience conducting exploratory analysis projects related to cohorting, time series analysis, and funnel analysis/optimization. Beyond just reporting metrics, we value the ability to dig in an explain the “why” behind trends

• A clear understanding and demonstrable experience in experimentation design and process development, including comfort with A/B testing

• Expertise in SQL is essential. Expertise with Jupyter-style notebooks and Python statistics packages is a huge plus.

• Experience creating dashboards and visualizations in tools such as Hex, Looker, Mode, etc.

• Ability to start, own, and drive projects to completion with minimal guidance

Bonus areas of expertise

• Data modeling (we use dbt!)

• Some familiarity with LookML

Our Analytics Stack 

• Fivetran, Segment, Bigquery, dbt, Airflow, Looker, Hex

Compensation range

• $180,000-$200,000

The Data Science team builds production machine learning models that are the core of Signifyd’s product.  

We help businesses of all sizes minimize their fraud exposure and grow their sales.  We also improve the e-commerce shopping experience for individuals by reducing the number of folks’ orders that are incorrectly declined and by making account hijacking less profitable for criminals. 

The Data Science team has end-to-end ownership of our decisioning engine, from research and development to online performance and risk management.  

We value collaboration and team ownership -- no one should feel they’re solving a hard problem alone.  

Together we help each other develop our skill sets through peer review of experiments and code, group paper study to deepen our ML and stats understanding, and frequent knowledge-sharing via live demos, write-ups, and special cross-team projects.

The Data Science and Engineering teams at Signifyd have always had a strong contingent of remote folks, individual contributors as well as team leads.  The challenges of working remotely aren’t new to us and we have a track record of iterative improvements to our remote culture.

You’ll be on a horizontally-focused team that’s laser-focused on stopping fraud in its tracks. You will be leading and planning algorithmically-driven solutions, testing whether and how those strategies will be effective, and getting them into production. 

Here you’ll have the opportunity to:

• Concept, plan, and develop strategies for identification and remediation of fraud attacks. 
• Devise algorithmic approaches with the right evaluation frameworks, and how to apply them in end-to-end systems 
• Build production machine learning models that stop fraud rings
• Write production and offline analytical code in Python, SQL, and Java
• Collaborate with engineering teams to strengthen our machine-learning platform
• Communicate complex ideas to a variety of audiences

Past experience you’ll need:

• A degree in computer science or a comparable quantitative field
• 4+ years of post-undergrad work experience
• Experience leading projects, designing experiments, and collecting data
• Building production machine learning models (they don’t need to have been related to fraud)
• Experience with graph-based frameworks, spark, pandas, sklearn, numpy, and other core Python DS libraries
• Hands-on statistical analysis with a solid fundamental understanding
• Writing production code and reviewing others’ in a shared codebase, preferably in Python
• Practical SQL knowledge
• Familiarity with the Linux command line

Bonus points if you have:

• Previous work in fraud, payments, or e-commerce
• Passion for writing well-tested production-grade code
• A Master's Degree or PhD 

Check out howData Science is powering the new era of Ecommerce

Check out our Director of Data Science featured inBuilt In

#LI-Remote

Benefits in our US offices:

• 4-day workweek
• Discretionary Time Off Policy (Unlimited!)
• HeadSpace Health Online Therapy Membership
• Dedicated learning budget through Learnerbly
• 401K Match
• Stock Options
• Annual Performance Bonus or Commissions
• Paid Parental Leave (12 weeks)
• Health Insurance
• Dental Insurance
• Vision Insurance
• Flexible Spending Account (FSA)
• Short Term and Long Term Disability Insurance
• Life Insurance
• Company Social Events
• Signifyd Swag

We want to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.

EquipmentShare is Hiring a Data Scientist (Operations Research).

EquipmentShare is searching for a Sr Data Scientist specializing in Operations Research (OR) to join our team. This position is fully remote.

Primary Responsibilities

Despite having been fundamentally altered by earlier industrial revolutions, the construction industry has hardly budged with the computer revolution. In fact, since 1970, labor productivity in the US construction industry has actually declined, despite it more than doubling in the rest of the economy. This has contributed to housing shortages and the parlous state of infrastructure in some places, and is sanding the gears of carbon reduction efforts.

We think the industry is ripe for change, and we’re pushing the leading edge of that change with our next generation T3 Platform, the OS for Construction. Through T3, we help contractors to coordinate humans and (increasingly smarter) machines to build more effectively.

As a Sr Data Scientist specialized in OR in our small and quickly growing team, you will play a major role in this effort. In particular, you will

• Create and enhance fleet management practices across the company through analytical 
  techniques
• Develop, from scratch, simulation experiments that lead to implemented optimization 
  algorithms to solve our complex supply chain problems
• Assist in identifying key KPIs and metrics to measure our company’s supply chain 
  effectiveness
• Help to identify the highest value next opportunities for OR within a big greenfield space,
  work cross-functionally to plan and build, and measure your significant business impact
  via experimentation

Why We’re a Better Place to Work

• Competitive compensation packages 
• 401 (k) and company match
• Health insurance and medical coverage benefits
• Unlimited paid time off
• Generous paid parental leave
• Volunteering and local charity initiatives that help you nurture and grow the communities you call home
• Stocked breakroom and full kitchen (corporate HQ)
• State of the art onsite gym (corporate HQ)/Gym stipend for remote employees
• Opportunities for career and professional development with conferences, events, seminars, continued education

About You 

Our mission to change an entire industry is not easily achieved, so we only hire people who are inspired by the goal and up for the challenge. In turn, our employees have every opportunity to grow with us, achieve personal and professional success and enjoy making a tangible difference in an industry that’s long been resistant to change. 

Skills & Qualifications 

Minimum Qualifications:

• Graduate degree or equivalent practical experience in statistics, computer science,
  applied math, operations research or related field
• 4+ years working on technology-powered products and projects within the OR, supply 
  chain optimization, or data science roles
• Demonstrated understanding of the techniques and methods of modern algorithm
  development
• Strong cross-functional communication skills
• Must be qualified to work in the United States - we are not sponsoring any candidates at 
  this time

EquipmentShare is committed to a diverse and inclusive workplace. EquipmentShare is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

#LI-Remote

Come join our Artificial Intelligence team

Our AI team will work across product boundaries to rapidly prototype the AI products and features that will define the future of technical interviewing for Karat, create a competitive moat for our business, and allow our customers to source, hire, and retain the right talent with increased predictivity, less bias, and previously unimaginable efficiency.

What you will do

As a Senior Data Scientist on the AI team at Karat, you will drive innovation by extracting key insights from our data, and providing actionable recommendations for innovative products that can be built into the Karat platform as we scale. Collaborating with a small team of Engineers, you will innovate on top of the Company’s internal and external data, leverage cutting-edge AI technology like LLMs, carry complex analysis, build proofs-of-concept and prototypes, create insight, and build models and products that serve a variety of key end-users in the Interviewing Cloud space.

This is a Salary, Exemptposition. Immigration sponsorshipis notavailable.

• Lead projects in close partnership with engineering teams to increase the signal captured during technical interviews, maximizing the product value provided to clients.
• Work hands-on in coding, data preprocessing, feature engineering, model development, and exploratory data analysis.
• Lead projects and mentor teammates working in the Data Science and AI realms across all teams and products.
• Partner with business stakeholders to understand the Company’s business challenges, develop hypotheses, and propose data-driven solutions to those challenges.
• Present complex findings and insights to non-technical audiences, influencing decision-makers across the organization.
• Stay abreast of the latest advancements in Data Science, Machine Learning, and AI, and proactively identify opportunities to apply emerging technologies to Karat’s business needs.
• Lead the dialogue within Karat about AI, Data Science and Machine Learning.

The experience you will bring

• 5+ years of tech industry experience in Data Science, Machine Learning, AI, or other related roles
• Strong expertise in programming languages such as Python, and proficiency in using relevant data science libraries and frameworks
• Experience with cloud platforms (e.g., AWS, Azure, GCP), data engineering pipeline and tools such as dbt, airflow, and model deployment process
• Proven track record leading Data Science, Machine Learning or AI projects that have delivered significant business impact
• Exceptional problem-solving skills with the ability to translate business challenges into data-driven solutions
• Deep understanding of statistical analysis, data manipulation, and data visualization techniques
• Excellent communication skills, with the ability to communicate complex technical concepts to both technical and non-technical audiences

SUPERHUMAN ????

We exist so that professionals end each day feeling happier, more productive, and closer to achieving their potential.

Today we are…

• The fastest email experience in the world
• Loved and adored: see what our customers say

Our customers get through their inboxes twice as fast; many see inbox zero for the first time in years.

Come shape the future of email, communication, and productivity!

BUILD LOVE ????

At Superhuman, we deeply understand how to build products that people love. We incorporate fun and play; we infuse magic and joy; we make experiences that amaze and delight.

It all starts with the right team — a team that deeply cares about values, customers, and each other.

CREATE MASSIVE IMPACT ????

We're not solving a small problem, and we're not addressing a small market. We're going after email; the one activity that consumes more of our work day than any other.

Our ambition doesn't stop there. Next: calendars, team collaboration, notes, contacts, and tasks. We are building the productivity platform of the future.

DO THE BEST WORK OF YOUR LIFE ????

We have created the frameworks for how to build product market fit and redefined the narrative of how to onboard customers successfully. We have shown the world it’s possible to build a premium productivity brand. Our investors include Andreessen Horowitz, First Round Capital, IVP, Tiger Global Management, Sam Altman, and the founders of Gmail, Dropbox, Reddit, Discord, Stripe, GitHub, AngelList, and Intercom.

Looking ahead, we’re swinging beyond the fences and fundamentally rethinking how individuals and teams should collaborate. We are building a household brand and a worldwide organization. We are here to do the best work of our lives, and we hope you are too.

As a Principal Data Scientist, you’ll accelerate our journey to achieving our vision by leading product analytics for our core product experience, partnering closely with Product Managers and our executive team to uncover deep insights about our users and using that information to craft the next evolution of the Superhuman product.

THE ROLE ????????‍????????‍????

Mission: use data to improve outcomes for Superhuman’s users and business

• Partner with our Product, Design, Engineering, and Executive teams to discover insights about our users and craft an even better product experience for them
• Design, execute, and learn from A/B tests; up-level our company-wide A/B testing program
• Democratize a culture of data-informed decision-making in product development
• Coach and mentor other Data Scientists to up-level the Product Analytics craft across the Analytics team

SOUND LIKE YOU? ????

Strong candidates typically have 6+ years of experience in data science and analytics. The most impactful skills to succeed in this role are:

• Empathy: You strive to approach projects from stakeholders’ and users’ point of view in order to produce the best outcome for all parties
• Communication: You recognize that communication and narrative are as or more impactful than analysis itself. You are a concise and direct verbal and written communicator, and are effective at async communication (esp. in Slack, Notion, and of course email)
• Embracing Ambiguity: You thrive with a large scope of ownership, and expertly prioritize which problems to solve, push your work forward even in the face of incomplete information, and offer proactive recommendations to help our product business improve
• Ownership: You autonomously define, roadmap, and deliver large-scale projects, anticipating and resolving roadblocks and cross-functional dependencies
• Growth Mindset: You add value by offering critical feedback to your manager, your team, and stakeholders to help them improve, and you expect and welcome the same from them
• Technical Skills:
  • Expert SQL skills
  • Strong command of the fundamentals of statistics
  • Experience with modern data tools like dbt, Metabase, Looker, etc.

Note on qualifications: if you feel you fit most but not all qualifications listed above, we encourage you to apply anyway! It’s not necessary to check every box perfectly, to be a strong candidate.

COMPENSATION ????

The Principal Data Scientist role spans several internal levels and a wide breadth of experience at Superhuman. Our compensation band reflects the potentially broad range of candidates and experience levels that we are open to hiring for this role.

Our salaries for this role range from $229,000 to $269,000. The salary range does not reflect total compensation, which includes base salary, benefits, and company stock options.

We are open to candidates in the US, Canada, or Latin America. We take a locally informed approach to non-US-based compensation and will be able to share ranges based on your country of residence.

BENEFITS ????

Taking Care of Your Future ????

• Medical, dental, and vision insurance: 100% coverage for you and 75% coverage for all your dependents.
• Voluntary insurance: short-term disability, long-term disability, and life insurance.
• 401(k) plan (we match 75 cents per dollar, up to 4% of your salary).
• Free access to Northstar, a financial wellness platform that provides financial advisors + personal finance tools.

Generous Time Off ????

• Enjoy our generous and flexible Paid Time Off (PTO) policy, with our amazing team members taking an average of 20 days per year.
• 13 additional company holidays, plus your own Care Days, Flexible Holidays, and a company-wide Winter Break.
• Generous parental, caregiver, healthcare, and compassionate leave policies.

Investing in Your Growth ✍️

• $3000 per year towards your professional development.
• Free access to Calm and Taskhuman.
• Allyship education program to help build your best self.

Setting You Up For Success ????????‍????????????‍????

• Custom MacBook Pro.
• $1,000 budget for workstation setup.
• $260/month for your lunches, groceries, or whatever nutrition you need to stay fueled up!
• Flexible spending accounts for commuter costs, dependent care, and healthcare expenses.

At Superhuman, we value diversity. We are an equal opportunity employer: we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

At Webflow, our mission is to bring development superpowers to everyone. Webflow is the leading visual development platform for building powerful websites without writing code. By combining modern web development technologies into one platform, Webflow enables people to build websites visually, saving engineering time, while clean code seamlessly generates in the background. From independent designers and creative agencies to Fortune 500 companies, millions worldwide use Webflow to be more nimble, creative, and collaborative. It’s the web, made better. 

We’re adding a Senior Data Scientist to our team to help inform the future of Webflow with data by building a deep understanding of how our customers create for the web with our product. You’ll partner directly with key product stakeholders to identify interesting business questions and provide the data and quantitative analysis to answer them, leading the development of KPIs and helping teams understand how to improve our user experience. As an early member of our data team, you will also be working to improve our data warehouse by thoughtfully developing clean and reliable data pipelines for lasting impact.

About the role 

• Location: San Francisco HQ or US remote
• Full-time 
• Permanent 
• Exempt 
• Our cash compensation amount for this role ranges from $143,000 in our lowest geographic market up to $198,000 for US locations with a higher cost of labor. All figures cited above are in $USD and pertain to workers located in the United States. Pay is based on several factors including market location, and may vary depending on job related experience, knowledge, qualifications, and skills.

Please visit our Careers page for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.

• Reporting to the Manager, Data Science

As a Senior Data Scientist you’ll … 

• Enable our product teams to think strategically with key stakeholders about how customers engage with Webflow, identifying and executing on high impact growth opportunities with actionable insights
• Define product and business success metrics, building tools for monitoring and surfacing drivers of KPIs (Key Performance Indicators)
• Leadtechnical and non-technical team members with processes and technical expertise for executing experiments, answering open ended business questions with data, and researching levers for improving our product, 
• Develop our data foundation, experimentation and machine learning capabilities, collaborating on our strategic roadmap for building new pipelines and tools that contribute to our connected, complete understanding of our customer journey and improve our customer experience. We currently use Snowflake, DBT, Tableau, and Fivetran and are working with our Data Engineering collaborators on scaling our platform capabilities with a number of other tools!

In addition to the responsibilities outlined above, at Webflow we will support you in identifying where your interests and development opportunities lie and we'll help you incorporate them into your role.

About you 

You’ll thrive as a Senior Data Scientist if you:

• Have 4+ years of experiencein a Data Science (or similar) position 
• Have interest and experiencein mentoring and developing the technical skills of your team members, helping to build a collaborative data science practice
• Have demonstrated experience working as a Data Scientist (or the equivalent in quantitative analysis), contributing to the strategic roadmap, providing high quality, reproducible analysis that impacts company strategy and decision making, building tools to enable scalable processes and enabling others to do the same
• Have expertisein applied statistics (e.g. predictive modeling, hypothesis testing, regressions), segmentation and experimentation (e.g. A/B testing) in an industry setting and the ability to explain concepts to technical and non-technical team members
• Have proficiencyin SQL, and experience with a programming language like Python or R
• Curious about diving into the nuances of our business and product data 
• Thrive collaboratingwith product teams in a fast-paced and sometimes ambiguous environment, solving complex and nuanced problems

Our Core Behaviors:

• Obsess over customer experience. We deeply understand what we’re building and who we’re building for and serving. We define the leading edge of what’s possible in our industry and deliver the future for our customers
• Move with heartfelt urgency. We have a healthy relationship with impatience, channeling it thoughtfully to show up better and faster for our customers and for each other. Time is the most limited thing we have, and we make the most of every moment
• Say the hard thing with care. Our best work often comes from intelligent debate, critique, and even difficult conversations. We speak our minds and don’t sugarcoat things — and we do so with respect, maturity, and care
• Make your mark. We seek out new and unique ways to create meaningful impact, and we champion the same from our colleagues. We work as a team to get the job done, and we go out of our way to celebrate and reward those going above and beyond for our customers and our teammates

Benefits & wellness

• Equity ownership (RSUs) in a growing, privately-owned company
• 100% employer-paid healthcare, vision, and dental insurance coverage for employees and dependents (full-time employees working 30+ hours per week), as well as Health Savings Account/Health Reimbursement Account, dependent care Flexible Spending Account (US only), dependent on insurance plan selection where applicable in the respective country of employment; Employees may also have voluntary insurance options, such as life, disability, hospital protection, accident, and critical illness where applicable in the respective country of employment
• 12 weeks of paid parental leave for both birthing and non-birthing caregivers, as well as an additional 6-8 weeks of pregnancy disability for birthing parents to be used before child bonding leave (where local requirements are more generous employees receive the greater benefit); Employees also have access to family planning care and reimbursement
• Flexible PTO with a mandatory annual minimum of 10 days paid time off for all locations (where local requirements are more generous employees receive the greater benefit), and sabbatical program
• Access to mental wellness and professional coaching, therapy, and Employee Assistance Program
• Monthly stipends to support health and wellness, smart work, and professional growth
• Professional career coaching, internal learning & development programs
• 401k plan and pension schemes (in countries where statutorily required) financial wellness benefits, like CPA or financial advisor coverage
• Discounted Pet Insurance offering (US only)
• Commuter benefits for in-office employees

Temporary employees are not eligible for paid holiday time off, accrued paid time off, paid leaves of absence, or company-sponsored perks unless otherwise required by law.

Be you, with us

At Webflow, equality is a core tenet of our culture. We are an Equal Opportunity (EEO)/Veterans/Disabled Employer and are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law. Pursuant to the San Francisco Fair Chance Ordinance, Webflow will consider for employment qualified applicants with arrest and conviction records.

Stay connected

Not ready to apply, but want to be part of the Webflow community? Consider following our story on our Webflow Blog, LinkedIn, X (Twitter), and/or Glassdoor. 

Please note:

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Upon interview scheduling, instructions for confidential accommodation requests will be administered.

To join Webflow, you'll need a valid right to work authorization depending on the country of employment.

If you are extended an offer, that offer may be contingent upon your successful completion of a background check, which will be conducted in accordance with applicable laws. We may obtain one or more background screening reports about you, solely for employment purposes.

For information about how Webflow processes your personal information, please reviewWebflow’s Applicant Privacy Notice. 

Clover is reinventing health insurance by working to keep people healthy.

Clover's Data Science team is charged with leveraging our data—our most important asset—to generate value for our members. From understanding how the member experience impacts clinical outcomes to making our home visits more efficient and effective, our team pushes out insights central to executing on our core mission. And our impact is tremendous: you'll be able to point to one of our members and say, “I helped make that person's life better.”

We’re looking for a Staff Data Scientist to help us build a revolutionary new health care company. 

As a Staff Data Scientist you will:

• Ensure the health of a business function using data science techniques
• Solve simple problems simply, while bringing in state of the art techniques to solve more challenging problems, in a way that optimizes for business impact.
• Ship production-quality code and data models.
• Bring in patterns and frameworks that accelerate the teams' ability to ship data science work where they’re useful.
• Materially improve the Clover product at large by dramatically improving outcomes in an area.
• Be a trusted spokesperson, advocate and resident scientist for a critical body of data science work.
• Establish a high-bandwidth, effective feedback loop with stakeholders to ensure that area work delivers on its objectives.
• Within the team, be a mentor and teacher who materially improves others' ability to deliver.

You will love this job if you:

• You want to create impactwith your work by finding insights in the data that unlock value and improve outcomes. 
• You are excited to unlocknew areas for data science work.
• You have a strong understanding of how to structure analyses and experiments to yield interpretable, actionable results.
• You reason holistically. From project scope to priority to implementation, you'll have an impact on how decisions get made.
• You are comfortable acting autonomously in ambiguous and dynamic environments.
• You are fearless in the face of messy data, and adept at programmatically structuring and cleaning records collected from the real world.
• You strive to automate as much as possible, yet understand the value of explicitly incorporating human decisionsinto the systems you build.
• You have just as much interest in helping other people move faster as you do building your own analyses.

You should get in touch if you:

• Have a strong foundation in probability and statistics, and demonstrated facility with machine learning tools, including SQL and python, as well as statistical and machine learning packages
• Have demonstrated success mapping business goals to data solutions and delivered substantial business value with technical work, especially strategically through the lifecycle of the business
• Can proactively manage project scope, and actively look for fast-path solutions to prove out your ideas and more complex solutions when justifiable
• Have experience and a passion for working with messy data 
• Have opened new opportunities for data science or have unblocked new business areas with data science
• Have expanded the data science toolkit in ways that significantly change the velocity, quality, or scope of data science work.
• Want to understand the company's open problems and processes and are comfortable in matching your expertise to the work that needs to be done.  
• Have an advanced degree in a quantitative field, especially dealing with complex data-driven results, or equivalent experience

Benefits Overview: 

• Financial Well-Being: Our commitment to attracting and retaining top talent begins with a competitive base salary and equity opportunities. Additionally, we offer a performance-based bonus program, 401k matching, and regular compensation reviews to recognize and reward exceptional contributions.
• Physical Well-Being: We prioritize the health and well-being of our employees and their families by providing comprehensive medical, dental, and vision coverage. Your health matters to us, and we invest in ensuring you have access to quality healthcare.
• Mental Well-Being: We understand the importance of mental health in fostering productivity and maintaining work-life balance. To support this, we offer initiatives such as No-Meeting Fridays, monthly company holidays, access to mental health resources, and a generous flexible time-off policy. Additionally, we embrace a remote-first culture that supports collaboration and flexibility, allowing our team members to thrive from any location. 
• Professional Development: Developing internal talent is a priority for Clover. We offer learning programs, mentorship, professional development funding, and regular performance feedback and reviews.

Additional Perks:

• Employee Stock Purchase Plan (ESPP) offering discounted equity opportunities
• Reimbursement for office setup expenses
• Monthly cell phone & internet stipend
• Remote-first culture, enabling collaboration with global teams
• Paid parental leave for all new parents
• And much more!

#LI-REMOTE

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. We are anE-Verifycompany.

For California, Colorado, New Jersey, New York, or Washington residents, a reasonable estimate of the base salary range for this role can be found below. For candidates residing in other geographic areas, the range will be adjusted based on location. Final pay is based on several factors including but not limited to internal equity, market data, and the applicant’s education, work experience, certifications, etc.

A reasonable estimate of the base salary range for this role is $189 to $306k. Final pay is based on several factors including but not limited to internal equity, market data, and the applicant’s education, work experience, certifications, etc.

About Clover:We are reinventing health insurance by combining the power of data with human empathy to keep our members healthier. We believe the healthcare system is broken, so we've created custom software and analytics to empower our clinical staff to intervene and provide personalized care to the people who need it most.

We always put our members first, and our success as a team is measured by the quality of life of the people we serve. Those who work at Clover are passionate and mission-driven individuals with diverse areas of expertise, working together to solve the most complicated problem in the world: healthcare.

From Clover’s inception, Diversity & Inclusion have always been key to our success. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences and backgrounds, who share a passion for improving people's lives. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion and many other parts of one’s identity. All of our employee’s points of view are key to our success, and inclusion is everyone's responsibility.

The Basics

We are seeking a seasoned Staff Data Scientist with a strong mathematical foundation to join Tanium’s AI team. Tanium is the first-mover in delivering on the promise of autonomous endpoint management (AEM). Powered by Tanium AI, AEM will deliver comprehensive, autonomous management of endpoints, including security, incident response, patching, change management, and performance monitoring capabilities. 

The Staff Data Scientist will work closely with cross-functional teams to lead the design, development, and deployment of advanced models that deliver autonomous action across Tanium’s suite of solutions. Particular focus will be on the development of the algorithms that serve as inputs AI results (e.g., confidence scoring).  

 What you’ll do

• Conduct research and analysis to identify data patterns and trends that can be leveraged for AI model development. 
• Design, develop, and implement machine learning algorithms and statistical models to power AI results and actions. 
• Ensure AI model development incorporates all necessary guardrails that always allows the user to be in control. 
• Lead testing processes to assess and continuously enhance AI performance.  
• Collaborate with cross-functional teams including software engineers, product managers, and data engineers to integrate AI solutions into our AEM capabilities. 
• Monitor and optimize AI models for performance, scalability, accuracy, and reliability in real-world applications. 
• Stay updated with the latest advancements in AI, machine learning, and related fields to drive innovation within the company. 

 We’re looking for someone with

•  Education
  • Bachelor's degree in Computer Science, Mathematics, Statistics, or related field(advanced degreepreferred) or equivalent work experience. 
• Experience and skills
  • Proven experience in a data scientist role (8+ years) with a track record of developing and deploying AI models in a production environment. 
  • Proficiency in programming languages for data analysis and machine learning. 
  • In-depth knowledge of mathematical concepts including linear algebra, calculus, probability, and statistics. 
  • Experience with machine learning frameworks 
  • Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment. 

About Tanium 

Tanium delivers the industry's only true real-time cloud-based endpoint management and security offering. Its converged endpoint management (XEM) platform is real-time, seamless, and autonomous, allowing security-conscious organizations to break down silos between IT and Security operations that results in reduced complexity, cost, and risk. Securing more than 32M endpoints around the world, Tanium's customers include Fortune 100 organizations, top US retailers, top US commercial banks, and branches of the U.S. Military. It also partners with the world's biggest technology companies, system integrators, and managed service providers to help customers realize the full potential of their IT investments. Tanium has been named to the Forbes Cloud 100 list for nine consecutive years and ranks on the Fortune 100 Best Companies to Work For. For more information on The Power of Certainty™, visitwww.tanium.comand follow us onLinkedIn andX. 

On a mission. Together. 

At Tanium, we are stewards of a culture that emphasizes the importance of collaboration, respect, and diversity. In our pursuit of revolutionizing the way some of the largest enterprises and governments in the world solve their most difficult IT challenges, we are strengthened by our unique perspectives and by our collective actions.   

We are an organization with stakeholders around the world and it’s imperative that the diversity of our customers and communities is reflected internally in our team members. We strive to create a diverse and inclusive environment where everyone feels they have opportunities to succeed and grow because we know that only together can we do great things. 

Each of our team members has 5 days set aside as volunteer time off (VTO) to contribute to the communities they live in and give back to the causes they care about most.  

What you’ll get

The annual base salary range for this full-time position is $135,000 to $410,000. This range is an estimate for what Tanium will pay a new hire. The actual annual base salary offered may be adjusted based on a variety of factors, including but not limited to, location, education, skills, training, and experience.

In addition to an annual base salary, team members will receive equity awards and a generous benefits package consisting of medical, dental and vision plan, family planning benefits, health savings account, flexible spending account, transportation savings account, 401(k) retirement savings plan with company match, life, accident and disability coverage, business travel accident insurance, employee assistance programs, disability insurance, and other well-being benefits.

For more information on how Tanium processes your personal data, please see our Privacy Policy.

Let’s face it, a company whose mission is human transformation better have some fresh thinking about the employer/employee relationship.

We do. We can’t cram it all in here, but you’ll start noticing it from the first interview.

Even our candidate experience is different. And when you get an offer from us (and accept it), you get way more than a paycheck. You get a personal BetterUp Coach, a development plan, a trained and coached manager, the most amazing team you’ve ever met (yes, each with their own personal BetterUp Coach), and most importantly, work that matters.

This makes for a remarkably focused and fulfilling work experience. Frankly, it’s not for everyone. But for people with fire in their belly, it’s a game-changing, career-defining, soul-lifting move.

Join us and we promise you the most intense and fulfilling years of your career, doing life-changing work in a fun, inventive, soulful culture.

If that sounds exciting—and the job description below feels like a fit—we really should start talking. 

We are looking for an experienced Senior Product Data Scientist to join our team. At BetterUp we believe that data is critical to our success. If you are passionate about helping people reach their potential, thrive in a fast-paced startup environment where you get to build the future, and enjoy driving the business forward with data, then this is the role for you.

What you’ll do:

• Work with our Product squads to ensure they have the data to make better decisions faster.
• Drive the A/B testing program and experimental design within your product domain, optimizing for rapid learning. 
• Build and optimize customer retention, acquisition funnel, and pricing models.
• Partner closely with engineering, providing guidance on instrumentation design for new features and creating new datasets that delight our business users. 
• Own the product-related Explores and dashboards in Looker, ensuring the continued accuracy of the data and building new dimensions/measures as they are needed.
• Partner with the Product team to identify KPIs, build standardized reporting to monitor product ecosystem health, and contribute to business reviews. 
• Conduct data deep dives to better understand drivers of business performance and proactively identify new areas of opportunity and risk. Present results and recommendations to cross-functional partners and the Executive Team.
• Evangelize the strategic use of analytics, educating business partners on how to self serve and interpret data, and working with them to translate insights into action.
• Play an integral role in helping define the analytics function at BetterUp.
• Report to the Director of Product Analytics and be fully embedded in a product squad.

If you have some or all of the following, please apply:

• Previous product analytics and A/B testing experience required, ideally in direct to consumer, e-commerce, and/or subscription e-commerce.
• Experience with building and optimizing customer retention, acquisition funnel, and pricing models.
• Strong proficiency in SQL, Looker/Tableau, and Amplitude; Python / R a plus.
• Exceptional written and oral communication skills, with the ability to translate complex results into clear strategic recommendations.
• A self-starter that can jump right in and quickly add value.
• A demonstrated ability to think like an owner and make effective prioritization decisions in a dynamic environment.
• A strong desire to be a builder of something new.

Benefits:

At BetterUp, we are committed to living out our mission every day and that starts with providing benefits that allow our employees to care for themselves, support their families, and give back to their community. 

• Access to BetterUp coaching; one for you and one for a friend or family member 
• A competitive compensation plan with opportunity for advancement
• Medical, dental and vision insurance
• Flexible paid time off
• Per year: 
• All federal/statutory holidays observed
• 4 BetterUp Inner Work days (https://www.betterup.co/inner-work)
• 5 Volunteer Days to give back
• Learning and Development stipend
• Company wide Summer & Winter breaks 
• Year-round charitable contribution of your choice on behalf of BetterUp
• 401(k) self contribution

We are dedicated to building diverse teams that fuel an authentic workplace and sense of belonging for each and every employee. We know applying for a job can be intimidating, please don’t hesitate to reach out — we encourage everyone interested in joining us to apply.

BetterUp Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, disability, genetics, gender, sexual orientation, age, marital status, veteran status. In addition to federal law requirements, BetterUp Inc. complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

At BetterUp, we compensate our employees fairly for their work. Base salary is determined by job-related experience, education/training, residence location, as well as market indicators. The range below is representative of base salary only and does not include equity, sales bonus plans (when applicable) and benefits. This range may be modified in the future.

The base salary range for this role is $159,000 – $239,000.

Protecting your privacy and treating your personal information with care is very important to us, and central to the entire BetterUp family. By submitting your application, you acknowledge that your personal information will be processed in accordance with ourApplicant Privacy Notice. If you have any questions about the privacy of your personal information or your rights with regards to your personal information, please reach out tosupport@betterup.co

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Overview

The Foundations data science team–a small group inside of Instacart data science–is growing! The team’s remit is to work in partnership with Engineering by developing the statistical methodologies that fuel the analytic tooling used throughout Instacart for product experimentation.  

About the Role -We are looking for a staff level data scientist with expertise in experimentation, adaptive experiments, and causal inference to join us. This role will have enormous influence in two ways: First, this individual will help devise and develop the underlying methodologies used in tools by product analysts, data scientists, and engineers throughout the company. Decisions about the business will be made using the very tooling and methodology that this individual creates. Second, the individual will have substantial exposure to c-level stakeholders where their expertise in developing experimental systems and interpreting experimental findings will be a sought after resource. 

About the Team -The Foundations data science team at Instacart is responsible for developing and innovating world-class experimentation tools and causal inference measurement systems for use at scale. The team looks to combine the best of academic and industry practices to ensure that business decisions are made with the most accurate, reliable information. In addition, this team frequently consults throughout the greater Data Science org at Instacart to help solve the toughest problems.  

About the Job 

• Extend our A/B testing capabilities through the use of techniques such as developing sequential design functionality, incorporating smoothing designs, fractional factorial designs, etc.
• Work closely with Engineering to advise how to apply scientifically rigorous methods that function at scale
• Contribute to our adaptive experimentation initiatives (e.g., bandits) by helping to devise the strategy and roadmap for what we should build and why
• Serve the greater DS community at Instacart by consulting on a wide variety of challenging statistical topics
• Develop statistical best practices and evangelize on behalf of them
  
  

About You

Minimum Qualifications

• This is a very senior level position with an expectation of at least 8 years work experience
• Substantial previous work experience (~3 years) building experimental tools at scale on a major app/platform
• Expert in experimentation and causal inference techniques
• Strong communication skills; public speaking and presentation skills are highly desirable
• Desire to code every day in SQL/R/python
• Previous experience with dbt is a nice-to-have
• MA required, Ph.D preferred

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About the Role 

As a Staff Data Scientist on our Data Science team, you will be responsible for working on a wide range of data-related projects, from metric design and reporting, to analyses that drive business decisions across our company. You will have the opportunity to partner with stakeholders across our Engineering, Product, and Design teams, using data from across the entire Lattice spectrum to produce insights and recommendations on crucial business functions like product success metrics and the product roadmap.

What You Will Do

• Partner with the product team to build on their success metrics and inform their roadmapping decisions
• Collaborate with stakeholders across the business to create repeatable, standardized analytics that drive strategy and decision making processes
• Increase stakeholder use of data and data fluency through partnership and upskilling 
• Model first- and third-party data into analytics-ready tables that can be used across the business
• Advise the engineering, product, and design teams on event tracking, ensuring standardization across the Lattice platform and suite of products
• Conduct end-to-end projects to uncover insights and drive product engagement
• Own and collaborate on your own quarterly roadmap 
• Research and make recommendations on best practices for our data tech stack
• Partner with organizational leaders to impact Lattice’s strategy in the Talent space

What You Bring to the Table

• 5+ years of experience working in Data Science or Analytics, partnered with Product teams
• Experience at a B2B SaaS company
• Ability to distill ambiguous, open-ended questions into workable problems 
• A track record of collaboration with senior stakeholders 
• Deep expertise in facets of data science including but not limited to metric design, artificial intelligence, experimentation, and data analysis 
• History of successfully completing projects on time and within scope 
• Proven results designing metrics for cross-organization impact
• Self-starter who is excited by learning new technologies, getting your hands dirty, and creating scalable solutions 
• Deep knowledge of SQL
• Knowledge of Python
• Experience with a BI tool such as Looker
• Knowledge of dbt
• Experience in the performance management industry

The estimated annual cash salary for this role is $144,500 - $225,500. This position is also eligible for incentive stock options, subject to the terms of Lattice’s applicable plans.

Benefits: The Company offers the following benefits for this position, subject to applicable eligibility requirements: Medical insurance; Dental insurance; Vision insurance; Life, AD&D, and Disability Insurance; Emergency Weather Support; Wellness Apps; Paid Parental Leave, Paid Time off inclusive of holidays and sick time; Commuter & Parking Accounts; Lunches in the Office; Workplace Amenities Stipend, Internet and Phone Stipend; One time WFH Office Set-Up Stipend; 401(k) retirement plan; Financial Planning; Learning & Development Budget; Sabbatical Program; and Invest in Your People Fund

*Note on Pay Transparency:

Lattice provides an estimate of the compensation for roles that may be hired as required by state regulations. Compensation may vary based on (a) location, as Lattice factors in specific location when benchmarking compensation for most roles; (b) individual candidate skills and qualifications; and (c) individual candidate experience.

Additionally, Lattice leverages current market data to determine compensation, so posted compensation figures are subject to change as new market data becomes available. The salary, other compensation, and benefits information is accurate as of the date of this posting. Lattice reserves the right to modify this information at any time, subject to applicable law.

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Who We Are

The name ThousandEyes was born from two big ideas: the power to see things not ordinarily possible and the ability to collect insights from a multitude of vantage points. As organizations rely more on cloud services and the Internet, the network has become a black box they can't understand. Our Internet and cloud intelligence platform delivers the only collectively powered view of the Internet, cloud, and SaaS platforms, helping enterprises and service providers work together to identify problems before it impacts revenue, damages brand reputation, or halts employee productivity.

In August 2020, Cisco Systems completed the acquisition of ThousandEyes, which now forms the ThousandEyes Business Unit within Cisco’s Network Services Business Group and is a foundational component of Cisco’s growing Observability business.

About The Team

ThousandEyes is the industry leader In digital experience monitoring, delivering visibility into the entire digital delivery chain. Our innovative solutions empower organizations with actionable insights into network performance, application behavior, and user experience across cloud, Internet, and enterprise networks. 

The applied research team is at the forefront of digital experience monitoring innovation. Using our extensive and unmatched data, we craft and refine new algorithms to unlock a holistic and end-to-end view of digital experience.

About The Role

We are seeking a Principal AI/ML to join our applied research team. In your role within the team, you will lead the integration of AI and ML technologies into our solutions. You will work alongside top-class networking researchers and data scientists to design and prototype novel solutions and help drive the evolution of intelligent networking products. Collaborating closely with top-tier engineering and product teams, you will then take your pioneering ideas from prototypes to full-scale production

Qualifications

• Master’s or Ph.D. in Computer Science, Electrical Engineering, or related field
• Strong background in artificial intelligence, machine learning, and deep learning techniques
• Minimum of 3 years of hands-on experience developing innovative products utilizing AI/ML technologies (including scaling and deploying Machine Learning models)
• Experience with data preprocessing, feature engineering, and model evaluation
• Statistical and time series analysis expertise
• Strong programming skills, especially Python
• Proficiency in machine learning libraries and frameworks (TensorFlow, PyTorch, etc.)
• Experience with cloud computing platforms for deploying ML models (AWS, Azure, etc.)
• Proficiency in working with large-scale datasets (Spark, Hadoop, etc.) and uncovering insights

A plus if you have

• Knowledge of networking protocols (e.g., TCP/IP, UDP, DNS) and network architecture
• Proven industry experience applying AI/ML in networking products

Cisco values the perspectives and skills that emerge from employees with diverse backgrounds. That's why Cisco is expanding the boundaries of discovering top talent by not only focusing on candidates with educational degrees and experience but also placing more emphasis on unlocking potential. We believe that everyone has something to offer and that diverse teams are better equipped to solve problems, innovate, and create a positive impact.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification. Research shows that people from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy. We urge you not to prematurely exclude yourself and to apply if you're interested in this work.

Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis. Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records. 

US – COMPENSATION RANGE – MESSAGE TO APPLICANTS

173400 USD - 322100  USD

Message to applicants applying to work in the U.S.:

When available, the salary range posted for this position reflects the projected hiring range for new hire, full-time salaries in U.S. locations, not including equity or benefits. For non-sales roles the hiring ranges reflect base salary only; employees are also eligible to receive annual bonuses. Hiring ranges for sales positions include base and incentive compensation target. Individual pay is determined by the candidate's hiring location and additional factors, including but not limited to skillset, experience, and relevant education, certifications, or training. Applicants may not be eligible for the full salary range based on their U.S. hiring location. The recruiter can share more details about compensation for the role in your location during the hiring process.

U.S. employees have access to quality medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, short and long-term disability coverage, basic life insurance and numerous wellbeing offerings. Employees receive up to twelve paid holidays per calendar year, which includes one floating holiday, plus a day off for their birthday. Employees accrue up to 20 days of Paid Time Off (PTO) each year and have access to paid time away to deal with critical or emergency issues without tapping into their PTO. We offer additional paid time to volunteer and give back to the community. Employees are also able to purchase company stock through our Employee Stock Purchase Program.

Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components. For quota-based incentive pay, Cisco pays at the standard rate of 1% of incentive target for each 1% revenue attainment against the quota up to 100%. Once performance exceeds 100% quota attainment, incentive rates may increase up to five times the standard rate with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid.

????Location UK remote

About us: 

We’re here to make money work for everyone and we're doing things differently. For too long, banking has been obtuse, complex and opaque.

We want to change that and build a bank with everyone, for everyone. Our amazing community suggests features, test the app and give us constant feedback so we can build something everyone loves.

We're focused on solving problems, rather than selling financial products. We want to make the world a better place and change people's lives through Monzo.

About our Financial Crime Team:

We're excited to be looking for a Senior Data Scientist in Financial Crime to help build the bank of the future. You'll have the opportunity to work as a part of the Financial Crime Data Science team and play a critical role in Monzo’s mission to make money work for everyone.

What you’ll be working on 

As a Data Scientist, you’ll be working in an ever changing environment where we are building and iterating on our financial crime defence capabilities to ensure we keep Monzo and our customers safe. As a financial crime team we have a large impact on Monzo’s bottom line as fraud and scams are usually some of the largest cost line items in a bank's P&L. In addition, we have a great influence on the overall customer experience and it’s our duty to keep them safe. Most of the work we do results in directly measurable customer or company benefit which is incredibly satisfying.

Our Data Scientists don’t have a permanent assignment to a problem space and might rotate into different financial crime areas after some time. The major problem spaces that we are working in are: fraud prevention, transaction monitoring for different types of suspicious activity, customer risk assessment and operational tooling to name the biggest ones. At the moment we are about 30 people in financial crime data, including Analytics Engineers, Data Analysts, Machine Learning Engineers and Data Scientists. 

As part of your job you’ll work closely with product managers, engineers, designers and researchers in an agile product environment. You’ll champion the use of data, bring ideas to life through rigorous experimentation and A/B testing. You’ll help us get the most out of large volumes of data stored on a modern cloud native data platform and with spotting opportunities to make each area of financial crime work even better for our users and for Monzo.

Our culture is open and focused on collaboration between different functions and individuals. It is fast paced and innovative where we try to push the boundaries of the current financial industry best practices. We put a lot of emphasis on feedback (up, side and downwards) and personal growth and development. 

Your day-to-day   

• Develop and drive data solutions that improve our ability to fight financial crime and keep customers safe
• Conduct deep dives into various Fincrime systems for fraud detection, transaction monitoring and customer risk to identify key business opportunities
• Work closely with financial crime analysts, operations analysts, data scientists and engineers to understand the underlying business problem and propose an appropriate solution
• Translate regulatory reporting requirements into highly accurate data models and set the strategy for how we ensure the best possible data accuracy
• Build robust data models, reports and visualisations downstream of backend services (mostly in BigQuery SQL) that support internal management information as well as governance and regulatory reporting
• Investigate and effectively work with colleagues from other disciplines to address and improve data quality

You should apply if:

• Reducing financial crime and protecting customers with data driven strategies sounds fun to you
• You have multiple years of analytics experience, preferably in a fast moving tech company or consultancy
• You are comfortable exploring potentially ambiguous business problems and enjoy finding technical solutions to them
• You’re as comfortable getting hands-on as well as taking a step back and thinking strategically and proactively identifying opportunities
• You have experience working together and collaborating with senior business stakeholders and product teams
• You're familiar with using a variety of Data Science tools (from business intelligence, experimentation and causal inference through to machine learning), and coding languages (SQL and Python). You know when to pick the right tool, and can help others do the same

The Interview Process:

Our interview process involves 4 main stages: 

• Recruiter Call (30 mins)
• Initial Call (45 mins)
• Take Home Task (to complete at home)
• Final stage (x2 interviews of 60 mins) 

Our average process takes around 3-4 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions ahead of this please contact us on tech-hiring@monzo.com.

What’s in it for you:

✈️ We can help you relocate to the UK 

✅ We can sponsor visas 

????This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London).

⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.

???? Learning budget of £1,000 a year for books, training courses and conferences

➕ And much more, see our full list of benefits here

Equal Opportunity Statement

We are actively creating an equitable environment for every Monzonaut to thrive.

Diversity and inclusion are a priority for us and we are making sure we have lots of support for all of our people to grow at Monzo. At Monzo, embracing diversity in all of its forms and fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog, 2022 Diversity and Inclusion Report and 2023 Gender Pay Gap Report.

We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status.

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