Sr. Data Scientist

The Global Business Solutions Group (GBSG) Product Growth team is dedicated to accelerating business outcomes through a data-driven, product-led approach to growth. We leverage Product-Led Growth strategies, scalable growth loops, and rigorous experimentation to identify and amplify the highest-impact opportunities across the product ecosystem. Our team brings together exceptional talent across disciplines to run rapid experiments, conduct deep analytical investigations, and drive cross-functional alignment that unlocks durable customer and revenue growth.

As a Sr. Staff Data Scientist, you will serve as a senior technical leader and strategic thought partner to product and business executives. You will shape the growth roadmap by framing ambiguous opportunities, defining measurable hypotheses, and leading the design and interpretation of complex experiments. You will elevate the analytical bar across the organization, applying advanced causal inference and statistical methodologies to separate signal from noise and guide high-stakes investment decisions.

Your work will directly influence company-level growth strategy, ensuring we scale initiatives that create meaningful customer value and sustained top-line impact.

• Shape and evolve the data science strategy that powers product-led growth and scalable growth loops across the ecosystem.
• Define best practices for experimentation, causal inference, and advanced analytics to ensure high-quality, decision-grade insights.
• Apply sophisticated statistical modeling and machine learning techniques to transform complex, ambiguous data into clear strategic direction.

• Develop a holistic view of the end-to-end customer journey, synthesizing signals across acquisition, activation, engagement, retention, and monetization.
• Frame high-value hypotheses and design robust experiments that isolate causal impact and inform investment decisions.
• Partner with cross-functional leaders to prioritize and scale the most impactful growth initiatives.

• Act as a trusted thought partner to Product, Engineering, Design, Marketing, and Finance, translating analytical insights into strategic product and business actions.
• Influence roadmap decisions by grounding discussions in data, clear trade-offs, and measurable outcomes.
• Raise the organization’s analytical maturity by improving instrumentation, data quality, logging standards, and experimentation frameworks.

• Operate as a subject matter expert in causal inference and experimentation, mentoring other data scientists and setting a high standard for analytical rigor.
• Lead through influence, fostering a culture of hypothesis-driven decision-making and continuous learning.
• Tackle ambiguous, high-stakes problems that span multiple teams and require both depth and breadth of expertise.

• Rapidly synthesize diverse data sources and business metrics to uncover actionable insights.
• Balance methodological rigor with pragmatic execution, ensuring that insights are translated quickly into measurable business outcomes.

• 8+ years of experience in data science, applied statistics, or advanced analytics, with a demonstrated track record of driving measurable product and business growth.
• Deep expertise in causal inference, experimentation, statistical modeling, and machine learning, with the ability to apply appropriate methodologies to complex, ambiguous problems.
• Proven ability to translate sophisticated analytical findings into clear, decision-ready recommendations that influence strategy and investment.

• Advanced proficiency in SQL and at least one programming language such as Python or R for large-scale data analysis and modeling.
• Strong foundation in experimental design, hypothesis testing, and scalable analytics frameworks.
• Experience with data visualization tools and executive-ready storytelling to communicate insights effectively.
• Familiarity with data architecture,…