Data Scientist, Experimental Projects

The shape of it

In the posting’s own words

The team operates across a broad range of problem spaces. Rather than optimizing a single mature product area, you’ll help determine whether new ideas can solve meaningful user problems and become valuable products for Stripe. We’re looking for a Data Scientist who enjoys building, has a strong bias for action, and is comfortable moving from an ambiguous question to a practical test.

What it asks for · 9

• San Francisco, CA (Hybrid: 50% in office - Oyster Point)
• PhD with 3+ years, MS or MA with 6+ years, or BS or BA with 8+ years of data science or quantitative modeling experience.
• Proficiency in SQL and a computing language such as Python or R.
• Ability to effectively work both independently and with cross-disciplinary teams, including engineering and finance, to deliver impactful results.
• A demonstrated ability to manage and deliver on multiple projects with a high attention to detail.
• Solid business acumen and experience in synthesizing complex analyses into actionable recommendations.
• A track record of building relationships with and influencing the decisions of senior technical leadership.
• A builder's mindset with a willingness to question assumptions and conventional wisdom.
• Proficiency with artificial intelligence tools to accelerate model development, analysis, and coding.

Also a plus

• Strong knowledge and hands-on experience in several of the following areas: machine learning, statistics, optimization, product analytics, causal inference, and experimentation
• Experience deploying models in production and adjusting model thresholds to improve performance
• Experience designing, running, and analyzing complex experiments or using causal inference methods
• A builder’s mindset and willingness to question assumptions and conventional wisdom
• Experience working on ambiguous, zero-to-one problems and turning early evidence into practical decisions
• A strong bias for action, including the ability to identify the fastest credible way to test a hypothesis
• Comfort moving across different problem spaces and learning unfamiliar domains quickly
• Experience with distributed tools such as Spark or Hadoop

What the job covers

• Use data to identify, evaluate, and shape new product opportunities.
• Partner with engineers and product managers to build and test early product concepts.
• Develop analyses, models, experiments, and prototypes that help the team learn quickly.
• Talk with users and combine qualitative insights with quantitative evidence.
• Define success measures for new ideas and assess whether early results support further investment.
• Work across several new problem areas, adapting your approach as priorities and evidence change.
• Communicate findings clearly, including uncertainty, tradeoffs, and recommended next steps.
• Help establish analytical foundations for projects that may grow into larger product areas.

Degree language

• PhD with 3+ years, MS or MA with 6+ years, or BS or BA with 8+ years of data science or quantitative modeling experience.

Tools and skills named

Words the posting leans on

• product11×
• experience7×
• problems7×
• requirements5×
• test5×
• areas4×
• building4×
• data4×
• early4×
• evidence4×
• model4×
• quantitative4×
• quickly4×
• causal inference3×
• learn3×
• partner3×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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