Data Scientist, Business
WFA Digital Insight
The demand for skilled data scientists able to drive business growth through insights and strategic decision-making continues to skyrocket, with a 25% increase in job openings over the past year. OpenAI, a pioneer in AI research and deployment, is seeking a Data Scientist to join their Business Data Science team. With the company's commitment to safely deploying AI for the benefit of humanity, this role offers a unique opportunity to work at the intersection of technology, business, and social impact. As the job market shifts towards more remote and flexible work arrangements, candidates with expertise in statistics, causal inference, and data storytelling will be highly sought after. Before applying, candidates should be prepared to demonstrate their ability to translate complex data insights into actionable business strategies and collaborate effectively with cross-functional teams.
Job Description
About the Role
The Business Data Science team at OpenAI plays a critical role in optimizing business performance, driving growth, and fostering meaningful partnerships. As a Data Scientist on this team, you will be responsible for helping build a data-driven culture that informs insight generation, decision-making, and strategy across the organization. Your focus will be on driving customer success within OpenAI's business products, including ChatGPT Team, ChatGPT Enterprise, and API.The role involves working closely with the Customer Success organization to identify opportunities for interventions that can drive activation and onboarding, targeting the right audiences for new feature launches, and measuring the effectiveness of various interventions aimed at driving ongoing engagement with OpenAI's products. This is a San Francisco-based position, with a hybrid work model that includes three days in the office per week, and relocation assistance is available for new employees.
What You Will Do
- Embed with the Customer Success organization to drive customer adoption and engagement of OpenAI's business products
- Establish key metrics and run experiments to understand the impact of efforts on adoption and engagement
- Surface insights and opportunities to drive engagement and growth
- Build tools and systems for stakeholders to access routine data and insights
- Become an expert in OpenAI's data and systems, partnering with Data Engineering, Finance, and other business teams
- Collaborate with other data scientists across the company to share knowledge and synthesize learnings
- Develop and maintain databases and data systems to support business intelligence
- Design and implement A/B testing frameworks to measure the efficacy of different strategies
- Analyze large datasets to identify trends, opportunities, and challenges
- Communicate complex data insights effectively to both technical and non-technical stakeholders
- Develop strategic recommendations based on data analysis to drive business decisions
What We Are Looking For
- At least 7+ years of experience in Data Science roles within dynamic, outcome-driven organizations
- Expertise in statistics and causal inference, including 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 like 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
- Ability to craft clear data stories using decks, memos, and dashboards to drive decision-making
- 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
Nice to Have
- Experience with machine learning algorithms and their applications in business settings
- Knowledge of cloud-based data platforms such as AWS or Google Cloud
- Familiarity with agile development methodologies and version control systems like Git
- Certification in data science or a related field
- Experience working in a remote or distributed team environment
Benefits and Perks
- Competitive compensation package
- Equity in a leading AI research and deployment company
- Comprehensive health, dental, and vision insurance
- Generous paid time off policy
- Remote work stipend to support your home office setup
- Professional development opportunities, including conference sponsorships and training programs
- Access to the latest technologies and tools in the field
- Collaboration with a talented team of professionals who are passionate about AI and its applications
- Relocation assistance for candidates moving to San Francisco
- Flexible working hours and a hybrid work model to support work-life balance
How to Stand Out
- Develop a strong portfolio: Showcase your ability to drive business outcomes with data by including examples of past projects where you applied data science to solve real-world problems.
- Brush up on GTM strategies: Familiarize yourself with the latest go-to-market strategies and how data science can inform and optimize these efforts.
- Practice data storytelling: Work on communicating complex data insights in a clear, concise manner that resonates with both technical and non-technical stakeholders.
- Prepare for behavioral interviews: Be ready to provide specific examples from your past experience that demonstrate your skills in areas such as data analysis, problem-solving, and collaboration.
- Research OpenAI's mission and values: Understand the company's commitment to safely deploying AI for the benefit of humanity and be prepared to discuss how your skills and experience align with this mission.
- Highlight your ability to work remotely: As this role involves working in a hybrid model, emphasize your experience and strategies for effective remote collaboration and time management.
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