Data Scientist

Location: Mountain View, CA
Contract
Hybrid Schedule

About Our Client
Our client is a well-established financial technology company known for its widely used consumer tax preparation and filing products. They serve millions of individual consumers each year, with a strong focus on making the tax filing process simple, accurate, and accessible. The organization places a high value on data-driven decision making, cross-functional collaboration, and continuous product improvement, and its teams work closely with Product Management, Marketing, and Design to deliver a best-in-class customer experience.

Job Description
We are seeking a Data Scientist to support a referral program within a consumer tax preparation product for the FY27 season. In this role, you will partner closely with Product Management, Marketing, Product Design, and other cross-functional teams to define, measure, and optimize key metrics across the end-to-end customer referral journey.
The role blends in-season and out-of-season work: during peak season, you will automate KPI reporting, identify opportunities, and support A/B testing efforts (from instrumentation through statistical analysis) to help the business react quickly to performance trends. In the off-season, you will build durable reporting infrastructure, define more stable backend metrics, and develop self-service experimentation capabilities that align with testing frameworks used by related product areas.
This is an opportunity for a data-minded professional who is passionate about experimentation, causal inference, and translating analytics into clear, actionable business recommendations, to directly influence the performance and strategy of a high-visibility referral program.

Duties and Responsibilities

Automate in-season KPI reporting and opportunity identification for the referral program to reduce manual weekly reporting effort.
Partner with Marketing, Product Management, and Product Design to design and execute A/B tests, including instrumentation, test design, reporting, and statistical significance testing.
Conduct ad hoc, directional, and causal analyses to unblock product decisions and inform business strategy.
Build new reporting capabilities by establishing end-to-end and product-facing metrics, data pipelines, and dashboards.
Define key funnel metrics and identify more stable backend metrics to reduce reliance on front-end clickstream data.
Optimize reporting pipelines and improve business-facing dashboards in partnership with stakeholders.
Develop self-service experimentation capabilities aligned with testing frameworks used across related product areas.
Support broader product development initiatives and learning plan development with cross-functional partners.

Required Experience/Skills

Strong SQL and analytical skills.
Experience designing, executing, and analyzing A/B tests.
Knowledge of causal inference methodologies.
Experience with time series forecasting.
Industry experience within Financial Technology (FinTech).
Experience with, or strong interest in, AI-assisted workflows and modern AI productivity tools.
Proven ability to partner effectively with cross-functional teams to drive data-informed decision making.
Experience defining business metrics, product funnel metrics, and experimentation frameworks.
Strong problem-solving skills with the ability to translate analytical findings into actionable business recommendations.
Experience developing scalable reporting solutions, dashboards, and automated analytics workflows.

Nice-to-Haves

Prior experience supporting consumer product analytics, FinTech, or growth/product teams.
Experience building analytics solutions that directly influenced product strategy.
Enthusiasm for adopting new AI-enabled analytics tools and workflows.

Education
Bachelor''s or Master''s degree in a quantitative field such as Data Science, Computer Science, Statistics, Business Analytics, or a related quantitative discipline.

Pay & Benefits Summary
Up to $80/hr W2

Call-to-Action
Ready to make an impact on a high-visibility referral program? Apply now!

Data Scientist | SQL | A/B Testing | Causal Inference | Time Series Forecasting | FinTech | Product Analytics | Dashboard Reporting | KPI Reporting | Experimentation

Data Scientist

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