Senior Data Scientist analyzing data to drive customer success and business growth at Adobe. Conducting statistical analyses and collaborating with multi - functional teams for product enhancement.
About the role
- Staff Data Scientist at Preply developing data strategies for product domains. Collaborating with executives to drive long-term strategy and experimentation frameworks.
Responsibilities
- Develop and formalize a strategic understanding of the key value drivers of your domain, including user behavior, marketplace dynamics, pricing, and long-term unit economics - and translate these into actionable decision frameworks used by leadership.
- Define the long-term measurement and experimentation strategy for your domain, identifying structural growth levers and step-change opportunities beyond incremental optimization.
- Design the experimentation programme in your domain and execute, and evaluate large-scale experiments to test new ideas and measure their effectiveness in driving business outcomes.
- Lead deep analytical investigations into customer behavior and retention dynamics, reframing ambiguous business questions into structured analyses that drive step-change improvements in long-term value.
- Own impact modeling and scenario analysis for major product initiatives, enabling quarterly and annual planning decisions through robust forecasting, trade-off analysis, and risk assessment.
- Own the definition and governance of key metrics within your domain, ensuring clarity, consistency, and alignment with company-level objectives.
- Act as a senior thought partner to product, engineering, and data leaders, driving alignment across teams and elevating analytical standards across the organization.
- Lead cross-domain analytical initiatives (e.g., company-wide LTV modeling, pricing strategy, marketplace health framework).
Requirements
- Demonstrated track record of materially influencing product or business strategy in complex environments, with clear examples of company-level impact.
- Expertise in experimentation and causal inference, including operating under imperfect conditions, resolving ambiguity, and guiding high-stakes decisions where clean experiments are not always feasible.
- Strong understanding of subscription and marketplace economics, including LTV modeling, cohort dynamics, retention mechanics, pricing trade-offs, and long-term value optimization.
- Strong technical proficiency (e.g., SQL, Python) with the ability to review and elevate the analytical work of others, set coding standards, and design scalable analytical workflows.
- Experience mentoring and technically guiding senior data scientists, contributing to the overall growth and maturity of the data organization.
- Curiosity, problem-solving and critical-thinking skills, as well as the ability to proactively identify and address challenges.
- Ability to influence Directors and VP-level stakeholders, navigate conflicting incentives, and drive clarity in high-stakes strategic discussions.
- Interest in the bigger picture, feeling excited to impact the product roadmap and strategy.
Benefits
- A generous monthly allowance for lessons on Preply.com
- Learning & Development budget
- Time off for your self-development
- A competitive financial package with equity
- Leave allowance
- Health insurance
- Access to free mental health support platforms
Job title
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Degree requirement
Tech skills
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