Data Scientist, Business
Drives customer success for OpenAI's business products through data analysis, experimentation, and insights to boost adoption and engagement. Requires 7+ years in data science, expertise in Python, R, SQL, statistics, and causal inference.
About the job
In this role, you will:
- Embed with our Customer Success organization as a trusted partner, uncovering new ways to drive customer adoption and engagement of our business products.
- Establish key metrics, run experiments, and perform analysis to help us understand the incrementality of our efforts to drive adoption/engagement.
- Proactively surface insights and opportunities to drive engagement and growth.
- Build tools and systems for stakeholders to self-serve routine data and insights freeing up time to work on more leveraged analyses.
- Become an expert in OpenAI’s data and systems. Through partnership with Data Eng, Finance and other business teams, you will self-serve all the underlying data for our business and derive insights from them.
- Partner with other data scientists across the company to share knowledge and continually synthesizing learnings across the organization
You might thrive in this role if you have:
- At least 7+ years of experience in Data Science roles within dynamic, outcome-driven organizations.
- Expertise in statistics and causal inference, applied in both experimentation and observational causal inference studies.
- Proficiency in quantitative programming languages, such as Python and R.
- Expertise in SQL, with extensive experience extracting large datasets and designing ETL workflows.
- Experience using business intelligence tools, such as Mode, Tableau, and Looker.
- Strategic and impact-driven mindset, capable of translating complex business problems into actionable frameworks.
- Ability to build relationships with diverse stakeholders and cultivate strong partnerships.
- Strong communication skills, including the ability to bridge technical and non-technical stakeholders and collaborate across various functions to ensure business impact.
- Ability to craft clear data stories using decks, memos, and dashboards to drive decision-making at every level.
- Best-in-class attention to detail and unwavering commitment to accuracy.
- Proven track record in solving problems within Finance, Marketing, Partnerships, Sales, Support, or other GTM areas.
Skills
Python, R, SQL, Statistics, Causal Inference, Tableau, Looker, Mode, ETL, Experiments
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