Who we are
In a world where acquisition costs are skyrocketing, funding is scarce, and ecommerce merchants are forced to do more with less, the most innovative DTC brands understand that subscription strategy is business strategy.
Recharge is simplifying retention and growth for innovative ecommerce brands. As the #1 subscription platform, Recharge is dedicated to empowering brands to easily set up and manage subscriptions, create dynamic experiences at every customer touchpoint, and continuously evaluate business performance. Powering everything from no-code customer portals, personalized offers, and dynamic bundles, Recharge helps merchants seamlessly manage, grow, and delight their subscribers while reducing operating costs and churn. Today, Recharge powers more than 20,000 merchants serving 100 million subscribers, including brands such as Blueland, Hello Bello, LOLA, Chamberlain Coffee, and Bobbie—Recharge doesn’t just help you sell products, we help build buyer routines that last.
Recharge is recognized on the Technology Fast 500, awarded by Deloitte, (3rd consecutive year) and is Great Place to Work Certified.
Senior Data Analyst, Product Analytics
Recharge is positioned to support the best Direct-To-Consumer ecommerce brands in the world. We are building multiple AI-based analytic products that revolutionize how our merchants leverage insight to retain and grow their business.
We are looking for a data scientist who is value driven and passionate about providing actionable insights and helping to create data products that our product and growth teams can leverage. As a data scientist you will be working on both product analytics as well as advanced analytics projects working closely with data engineering and product to deliver value to our merchants through analytics and insights
You will be responsible for preparing data for prescriptive and predictive modeling, driving hypotheses, applying stats, and developing architecture for algorithms.
What you’ll do
Live by and champion all of our core values (#ownership, #empathy, #day-one, and #humility).
Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer. Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models.
Perform analysis utilizing relevant tools (e.g., SQL, Python). Provide analytical thought leadership through proactive and strategic contributions (e.g., suggests new analyses, infrastructure or experiments to drive improvements in the business).
Own outcomes for projects by covering problem definition, metrics development, data extraction and manipulation, visualization, creation, and implementation of analytical/statistical models, and presentation to stakeholders.
Develop solutions, lead, and manage problems that may be ambiguous and lacking clear precedent by framing problems, generating hypotheses, and making recommendations from a perspective that combines both, analytical and product-specific expertise.
Work independently to find creative solutions to difficult problems.
Effectively communicate analyses and experimental outcomes to business stakeholders, ensuring insights are presented with clear business context and relevance.
Write and maintain technical documentation for the data models and analytics solutions.
What you'll bring
Bachelor's degree ,or equivalent work experience, in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
5+ years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL)
Preferred experience in leveraging LLMs to address business challenges, and familiarity with frameworks such as Langchain.
Experience developing and operating within Snowflake
Expert in translating data findings to broader audiences including non-data stakeholders, engineering, and executive leadership to maximize impact
Preferred experience in dimensional modeling in dbt
Experience working on advanced analytics models (machine learning or learning based models) that accomplish tasks such as making recommendations or scoring users.
Ability to demonstrate high self-sufficiency to take on complex problems in a timely manner
Consistently navigates ambiguous technical and business requirements while making flexible technical decisions
Consistently delivers technically challenging tasks efficiently with quality, speed, and simplicity
Payments and/or Ecommerce experience preferred
Our Stack
Vertex ai, Google Colab, Looker, Dbt, Snowflake, Airflow, Fivetran, CloudSQL/MySQL, Python (Pandas, NumPy, Scikit-learn) , Gitlab, Flask, Jinja, ES6, Vue.js, Saas, Webpack, Redis, Docker, GCP, Kubernetes, Helmfile, Terraform, Ansible, Nginx
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Recharge Payments is an equal opportunity employer. In addition to EEO being the law, it is a policy that is fully consistent with our principles. All qualified applicants will receive consideration for employment without regard to status as a protected veteran or a qualified individual with a disability, or other protected status such as race, religion, color, national origin, sex, sexual orientation, gender identity, genetic information, pregnancy or age. Recharge Payments prohibits any form of workplace harassment.
Transparency in Coverage
This link leads to the Anthem Blue Cross machine-readable files that are made available in response to the federal Transparency in Coverage Rule and includes network negotiated rates for all items and services; allowed amounts for OON items, services and prescription drugs; and negotiated rates and historical prices for network prescription drugs (delayed). EIN 80-6245138. This link leads to the Kaiser machine-readable files.
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