Data Scientist, Strategic Finance
WFA Digital Insight
As the demand for data-driven decision making continues to grow, with a 25% increase in data scientist roles in the past year, professionals with expertise in predictive modeling and causal inference are in high demand. Openai's Strategic Finance team is at the forefront of this trend, leveraging data insights to drive business outcomes. With the company's commitment to artificial intelligence and long-term value creation, this role offers a unique opportunity for a skilled data scientist to make a significant impact. Candidates should be prepared to bring their expertise in data analysis and modeling to a dynamic and fast-paced environment, with a strong focus on storytelling and communication.
Job Description
About the Role
The Data Scientist, Strategic Finance position at Openai is a founding role within the Strategic Finance Data Science team, responsible for designing, implementing, and owning critical models, reporting, and analysis to support strategic decision-making. This role will work closely with Finance leadership, as well as teams across Research, Applied, and Go-To-Market, to deliver actionable insights and drive business outcomes. As a key member of the team, you will have the opportunity to partner with cross-functional teams to allocate and deploy resources for the highest-impact outcomes.The Strategic Finance team plays a critical role in maximizing Openai's long-term value, and this position will be instrumental in driving that effort. With a focus on predictive modeling, causal inference, and data-driven decision making, this role will require a strong analytical mindset and the ability to communicate complex insights to leadership.
What You Will Do
- Become an expert in Openai's data and systems, partnering with Data Engineering, Finance, and other teams to self-serve data and derive critical insights
- Scale causal inference models to measure the impact of different actions on user growth and financial outcomes
- Architect customer segmentation frameworks to unlock tailored growth strategies and expand lifetime value
- Automate standardized reporting and analysis by building data products or agentic solutions
- Support product pricing and other business decisions with ad hoc analysis
- Design and deliver dashboards for leadership to track key performance indicators and enable optimal decision-making
- Manage and lead cross-functional data science projects end-to-end
- Develop and maintain large-scale data models to support business decision-making
- Collaborate with stakeholders to identify opportunities for data-driven growth
What We Are Looking For
- MS or PhD in a quantitative field, with 10+ years of experience in a highly quantitative role
- Proficiency in Python, SQL, Tableau, and other analytical tools
- Strong analytical skills and experience working with large, complex data sets
- Proven ability to distill complex data into actionable insights for leadership
- Ability to independently initiate and complete projects, owning them end-to-end
- Excellent communication and storytelling skills when presenting data insights
- Exceptional attention to detail and a commitment to accuracy
- Experience working in a fast-paced, dynamic environment
- Strong understanding of data-driven decision making and business outcomes
Nice to Have
- Experience working with machine learning models and algorithms
- Familiarity with cloud-based data platforms and tools
- Knowledge of data visualization best practices and tools
- Experience working with cross-functional teams, including product, engineering, and finance
Benefits and Perks
- Competitive compensation package, including salary and equity
- Comprehensive health, dental, and vision insurance
- Flexible PTO and vacation policy
- Remote work stipend and support for home office setup
- Access to cutting-edge technology and tools
- Opportunity to work with a highly skilled and motivated team
- Professional development and growth opportunities
- Recognition and reward for outstanding performance
How to Stand Out
- Make sure to highlight your experience with predictive modeling and causal inference in your application, as these skills are highly valued in this role.
- Be prepared to discuss your approach to data-driven decision making and how you have applied it in previous roles.
- Showcase your ability to communicate complex insights to non-technical stakeholders, as this is a key aspect of the job.
- Emphasize your experience working with large, complex data sets and your ability to distill complex data into actionable insights.
- Be prepared to discuss your experience with data visualization tools and your approach to creating effective dashboards and reports.
- Research Openai's products and services and be prepared to discuss how your skills and experience align with the company's goals and mission.
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