Senior Data Scientist - Marketing Innovation (Remote)
About the Role
We’re hiring a Senior Data Scientist - Marketing Innovation to support our Marketing Innovation pod, a cross-functional team building the internal tools and agentic systems that fundamentally change how we do marketing and serve customers. This Data Scientist remote role will allow you to build product-like systems that deliver high-touch, consultative experiences to millions of SMB customers through agentic lifecycle and sales experiences.
What You’ll Do
- Define success metrics for agentic marketing systems (e.g., incremental pipeline generated, conversion lift, rep hours saved), including leading indicators that enable weekly iteration.
- Design measurement and experimentation frameworks for always-on systems across lifecycle automation, creative generation, targeting, and routing — using holdouts, staged rollouts, and quasi-experimental methods when needed.
- Partner with PMs and engineers to instrument, evaluate, and monitor launches so every meaningful release has observability and a credible read on incremental value.
- Translate behavioral and model-driven signals into decisions: what to scale, where to intervene, and how to allocate human and compute attention across segments.
- Build repeatable decision loops (pre-launch criteria → post-launch read → next action) that convert analysis into shipped changes.
Requirements
- 10+ years in a quantitative role (e.g., Data Science, Decision Science), ideally at a product-led company supporting B2B growth, with exposure to SMB or scaled self-serve motions.
- Deep grounding in experimentation, causal inference, and applied statistics, with experience designing and interpreting tests in real-world, always-on environments.
- Strong technical fluency in SQL and Python, including working directly with messy, incomplete behavioral data to quantify impact.
- Proven track record of translating results into shipped decisions (product, lifecycle, targeting, routing).
- Strong business judgment and a bias toward action: able to scope ambiguous problems, define success, and move quickly from insight to strategy.
- Excellent communicator and partner to PMs/Engineers; comfortable influencing stakeholders and presenting recommendations to senior leadership.
Nice to Have
- Familiarity with large language models and AI-assisted operations platforms.
- Experience working on operational automation and decision systems (routing, prioritization, optimization).
- Experience operating in early-stage or rapidly evolving environments, including building measurement and experimentation frameworks from scratch.
What We Offer
- Competitive salary ranging from $293,000 to $325,000 per year.
- Flexible remote work options to fit your lifestyle.
- Opportunity to work with cutting-edge AI technologies.
- Collaborative and innovative team environment.
- Comprehensive health benefits and wellness programs.
- Professional development opportunities and a commitment to your growth.
This Senior Data Scientist role at OpenAI offers a unique opportunity to work on innovative marketing strategies in a remote setting, with a competitive salary and the chance to impact the future of AI.
Who Will Succeed Here
Expert in SQL and Python with a strong ability to extract insights from complex datasets, leveraging libraries such as Pandas and NumPy for data manipulation and analysis.
Self-motivated and proactive in a remote work environment, demonstrating the ability to manage time effectively and deliver results independently while collaborating with cross-functional teams.
Deep understanding of causal inference and experimentation methodologies, with experience designing and analyzing A/B tests to drive marketing strategies and optimize customer engagement.
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