Job Description

We are looking for Data Scientists who are passionate about solving real world problems. You enjoy working with both structured and/or unstructured data and are motivated to productize scalable machine learning models. Critical thinking and problem-solving skills are essential for this role.

Qualifications

• BS (or higher, e.g., MS, or PhD) in Computer Science or related engineering field involving coding
• Experienced implementing and scaling machine learning models in production environments 
• Strong understanding of machine learning theory
• Hands on experience with Statistics
• Capable of quickly implementing prototypes of cutting-edge research papers
• Proficient in Python (i.e. Pandas, Numpy, scikit-learn, etc), R, TensorFlow, amongst other data science related tools and libraries
• Analytical mind and strong business acumen

If you're passionate about data science and is hungry to learn, please apply!

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Job Description

We are looking for an intermediate to senior delivery manager who is passionate about helping companies build and scale data. You enjoy working cross-functionally across engineering, data science and client facing business teams. You are detail oriented and a critical thinker. You are organized and think 5 steps ahead to anticipate potential technical, project or business problems before they appear. 
 

Day to day, you'll be working with both our clients and technical teams in ensuring that we consistently deliver above our clients' expectations. You will be working directly with our data teams in planning technical roadmaps and ensuring that every milestone and deliverable is on track and aligned with our clients' business needs.

Qualifications

• BS (or higher, e.g., MS, or PhD) in Computer Science, Engineering, Math, or Statistics
• 1+ years of experience working in a delivery manager, technical project manager, or similar role where you are working both with client stakeholders and technical teams
• Experience communicating (both verbally and in written format including emails, reports and presentations) with client executives
• Articulate and comfortable creating and presenting highly technical roadmaps and details to clients and other non-technical stakeholders
• Able to reduce complex technical concepts to simple, easy to understand ideas
• Extensive experience using data to help drive decisions within a company
• Prior hands on experience working as a data scientist, data engineer, analyst or in a related technical field a definite plus

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Job Description

We are looking for a Data Science Lead who will:

• Partner closely with our clients' executive and technical teams to guide their decisions relating to AI, analytics, data engineering and data in general

• Proactively identify and champion projects that solve complex problems across multiple domains

• Apply specialized skills and fundamental data science methods (e.g. experimental design, recommender systems and machine learning when needed) to inform improvements to our clients' businesses

• Design and implement end-to-end data pipelines: work closely with stakeholders to build models, tables or schemas that support our clients' business processes

• Empower teams both internal and external to build and maintain actionable KPIs, production-quality dashboards, informative deep dives, and scalable data products

Qualifications

• BS (or higher, e.g., MS, or PhD) in Computer Science, Engineering, Math, or Statistics
• 3-7 years of commercial experience as a data science lead solving high impact business problems, including 1+ years leading and maintaining high performance data science teams
• Extensive experience using Python including a strong grasp of object oriented programming (OOP) fundamentals
• Experience building data pipelines and driving ETL design decisions
• Experience delivering business impact through analysis and data products
• Technical leadership and management experience where you can jump into the code to the level that your peers admire and respect, and are also interested in helping mentor your peers
• Experience creating data product strategies, shipping data products, iterating after launch, and trying again
• Strong ability to prioritize and communicate to technical and non-technical audiences alike
• Working knowledge of Snowflake
• Devops experiences a plus

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Job Description

We are looking for Data Scientists who are passionate about Machine Learning, and have deep knowledge in Statistics and Computer Science. You enjoy doing data science projects with structured and/or unstructured data and are motivated to productize scalable machine learning models. We will also rely on you to build data products to extract valuable business insights. Critical thinking and problem-solving skills are essential for this role.

Qualifications

• BS (or higher, e.g., MS, or PhD) in Computer Science or related engineering field involving coding
• Experienced implementing and scaling machine learning models in production environments 
• Strong understanding of machine learning theory
• Hands on experience with Statistics
• Capable of quickly implementing prototypes of cutting-edge research papers
• Proficient in Python (i.e. Pandas, Numpy, scikit-learn, etc), R, TensorFlow, amongst other data science related tools and libraries
• Analytical mind and strong business acumen

If you're passionate about data science and is hungry to learn, please apply!

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Job Description

We are looking for a data engineer who is passionate about analytics and helping companies build and scale data. You enjoy working with data and are motivated to produce high quality data tools and pipelines that help empower other data scientists. You are experienced in architecting data ETL workflows and schemas. Critical thinking and problem-solving skills are essential for this role.

Qualifications

• BS (or higher, e.g., MS, or PhD) in Computer Science, Engineering, Math, or Statistics
• Hands on experience working with user engagement, social, marketing, and/or finance data
• Proficient in Python (i.e. Pandas, Numpy, scikit-learn, etc), R, TensorFlow, amongst other data science related tools and libraries
• Extensive experience working on relational databases, designing complex data schemas, and writing SQL queries
• Deep knowledge on performance tuning of ETL Jobs, SQL, and databases
• Working knowledge of Snowflake
• Experience working with Airflow is a strong plus
• Devops experiences is a plus

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Job Description

We are looking for Data Scientists who are passionate about analytics and using data to help drive business decisions. You enjoy working with structured and/or unstructured data and are motivated to produce highly actionable results. You are experienced in architecting data ETL workflows and schemas. Critical thinking and problem-solving skills are essential for this role.

Qualifications

• BS (or higher, e.g., MS, or PhD) in Computer Science, Engineering, Math, or Statistics
• Hands on experience working with user engagement, social, marketing, and/or finance data
• Proficient in Python (i.e. Pandas, Numpy, scikit-learn, etc), R, TensorFlow, amongst other data science related tools and libraries
• Extensive experience working on relational databases, designing complex data schemas, and writing SQL queries
• Deep knowledge on performance tuning of ETL Jobs, SQL, and databases
• Analytical mind and strong business acumen
• Working knowledge of Snowflake
• Devops experiences a plus

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Job Description

To qualify for this role, you must currently reside in Ontario, Canada.

We are looking for a data administrator/specialist that can help our team of data scientists and engineers manage, clean and curate data from a variety of sources. Your day to day job can range from identifying target objects in photos to researching and entering data online. You should be detail oriented and able to articulate your findings via clear, written summaries and conference calls.

Responsibilities and Duties

• Perform data labeling tasks such as identifying objects in photos and annotating them
• Maintain databases and update spreadsheets
• Summarize findings and communicate issues as they arise and suggest ways to improve workflow
• Validate collected data is complete and accurate (spelling, grammar, etc.) according to set guidelines
• Respond to general inquiries and requests for information
• Provide administrative support to team members as needed
• Research, collect and compile information
• Work closely with our data science and engineering teams
• Other duties, as required

Qualifications

Qualifications and Skills

• Highly organized with an ability to multitask and meet tight deadlines
• Work independently as well as collaboratively within a team environment
• Basic math skills with a keen eye for detail and accuracy
• Proficiency in office productivity and task management software, including Google Sheet, Word, Excel, Powerpoint
• Ability to work on multiple projects simultaneously
• Ability to handle confidential and sensitive information
• Excellent customer service and communication skills
• Previous experience working with startups is an asset

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Job Description

We're looking for a high-energy, entrepreneurial-spirited business development associate to build and grow new business channels. You'll be responsible for:

• Identifying new business opportunities and channel partners for our suite of data and AI services and products
• Initiating, building, and managing new client and channel partner relationships
• Creating marketing content to foster new inbound leads
• Communicating and meeting with clients and channel partners (online and onsite) 
• Identifying new market and business opportunities, and consolidating market feedback to report back to the CEO

Qualifications

• Results-driven mentality, with a propensity for speed and action
• Exceptional communication skills, highly organized, collaborative and detail-oriented
• Experience building and maintaining strong business relationships including with clients and channel partners
• Successful history of net new business sales
• Experience with content creation and online marketing
• Excels in inbound and outbound prospecting and closing of new business
• Solid sales forecasting abilities and revenue achievement

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Job Description

We are looking for an ambitious Jr to Intermediate Fullstack Engineer/Developer. You are passionate about technology but very pragmatic in the application of it to real-world engineering problems. You have experience in launching new products and scaling them. Critical thinking and problem-solving skills are essential for this role.

At Ample Insight, you will have a unique opportunity to work with best-in-class engineers on large engineering problems, and in an environment with small teams and abundant opportunities for personal impact and growth.

Please note that although this role is remote, you are required to be located in Canada (preferably in the Greater Toronto Region).

Qualifications

Responsibilities

• You will be part of a small but highly impactful team, with a large amount of ownership and autonomy for managing things directly.
• You will architect important systems and anticipate strategic and scaling-related challenges via thoughtful long-term planning
• You will need to design, prototype, and create solutions that support highly reliable, scalable, performant SaaS products
• You will own relationships with other engineering teams and collaborate with other functions

Requirements

• BS (or MS/PhD) in Computer Science or related engineering field involving coding
• 2+ years of professional software development experience
• 1+ years of experience working with React, Node, Typescript
• Solid CS fundamentals with experience across a range of disciplines, with one or more area of deep knowledge and experience
• Proven track record of technical expertise at a company with a strong engineering culture
• Experience setting technical strategy for an important company initiative
• Experience with shipping software

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Job Description

We are looking for an ambitious Python Engineer/Developer. You are passionate about technology but very pragmatic in the application of it to real-world engineering problems. You are experienced in launching new products and scaling them. Critical thinking and problem-solving skills are essential for this role.

As a Python Engineer, you will contribute in a multitude of ways, from architecting phenomenal systems, creating and encouraging good software development practices, driving strategic technical improvements, and mentoring other engineers.

At Ample Insight, you will have a unique opportunity to work with best-in-class engineers on large engineering problems, but in an environment with small teams and abundant opportunities for personal impact and growth. 

Please note that although this role is remote, you are required to be located in Canada/US.

Qualifications

Responsibilities

• You will be part of a small but highly impactful team, with a large amount of ownership and autonomy for managing things directly
• You will architect important systems and anticipate strategic and scaling-related challenges via thoughtful long-term planning
• You will need to design, prototype, and create solutions that support highly reliable, scalable, performant AI and analytics products

Requirements

• BS (or MS, or PhD) in Computer Science or related engineering field involving coding
• 3+ years of professional software development experience
• 3+ years of experience working with Python and data/ML related Python libraries such as Pandas, NumPy and scikit-learn
• Hands on experience working with data and analytics relating to user engagement, social, marketing, and/or finance data
• Extensive experience working on relational databases, designing complex data schemas, and writing SQL queries
• Deep knowledge on performance tuning of ETL jobs, SQL, and databases
• Solid CS fundamentals with thorough understanding of and demonstrated experience in Object-Oriented Design
• Strong understanding of design patterns and capable of incorporating them in software design
• Experience setting technical strategy for a large or important company initiative
• Strong knowledge of shipping impactful and complex software projects
• Experience working with Airflow is a strong plus
• Devops experience is a plus

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