Data scientist (hybrid-san francisco, ca)

Description and Requirements

Work Location: Hybrid - 2-3 days onsite

Position Type: Contract, 10 months (potential for extension)

Location: San Francisco, CA, USA

Compensation Range: $ per hour USD

Our Fortune 500 client is seeking a Data Scientist.

Responsibilities

• Support strategy execution: Pull together data and analysis that helps the team understand customer behavior across onboarding, engagement, and retention, surfacing insights that inform team-level decisions.
• Partner cross-functionally: Work with Product, Marketing, Engineering, and Design partners on well-scoped questions, and communicate findings clearly.
• Build core data science skills: Learn ML fundamentals and basic causal inference concepts as applied to banking use cases, with close guidance from senior team members.
• Run experiments: Design and execute standard A/B tests with increasing independence; assist senior data scientists on more complex experimental designs (A/B/n, quasi-experimental approaches) as exposure and learning opportunities.
• Support AI-native initiatives: Assist in testing and evaluating new analytics/AI approaches for banking, under senior guidance, and help translate model outputs into clear metrics.
• Build technical skills & collaborate: Seek feedback and mentorship from senior data scientists, contribute to peer reviews, and share learnings with teammates as you grow your expertise.

Requirement:

We're looking for a curious, proactive data scientist with an interest in fintech. 4–6 years of experience in data science and analytics; exposure to fintech (banking, lending, payments) is a plus but not required. Ability to break down well-defined, well-scoped business questions into analytical problems, with support on more ambiguous ones. Experience designing and interpreting standard A/B tests. Basic familiarity with causal inference concepts (e.g., has been exposed to or assisted with methods like PSM or DiD); no independent ownership expected at this level. Solid communication skills, with the ability to present findings clearly to immediate team members and stakeholders. Comfort working in a structured environment with support from senior team members on prioritization and more complex decisions. Familiarity with AI-native tools to support day-to-day analyses such as experiment readouts and reporting. BS or MS in Statistics, Mathematics, Operations Research, Computer Science, Engineering, Econometrics, or a related field.

Skills:

• SQL
• Data Modeling Skills
• Expertise in BI Tools
• Experimentation
• Causal Inference

All interested applicants who meet the qualifications listed above are invited to submit a resume by clicking "Apply Now". The indicated pay range for this position is a good‑faith estimate based on the qualifications necessary for the position, including experience, training, and other considerations permitted by law. The pay band is established by the client company. Factors that may influence an offer include a candidate’s skills, experience, geographic location, and expected work quality and quantity. Most candidates will start in the lower half of the pay range, with the upper end reserved for those with extensive experience and skills or who live in higher‑pay markets. An employee’s pay history will not be considered where prohibited by law. This information is subject to change and serves as a general guideline for compensation discussions. Actual offers may vary based on specific circumstances and company policies.