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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expert-level proficiency in Python and SQL, with extensive experience in statistical modeling, machine learning techniques, and data-driven decision-making. Proven ability to lead data science strategy, mentor teams, and communicate complex insights effectively across cross-functional partners.
Highest-signal resume keywords
Expert-Level Proficiency In PythonExpert-Level Proficiency In SQLStatistical Modeling And Machine Learning TechniquesLeadership And Mentoring SkillsExperience In Data Science Strategy
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Statistical ModelingMachine Learning TechniquesCausal InferencePredictive ModelingData AnalysisAutomation ProcessesExperimental DesignData Product DevelopmentQuantitative AnalysisFeature-Level Metrics Implementation
Soft Skills
Critical ThinkingCollaborationCommunicationMentoringCoaching
Tools & Technologies
Data Science ToolingAI TechnologiesSelf-Service ToolsAutomated Data ProcessesData Platforms
Certifications & Qualifications
Bachelor's Degree In StatisticsMaster's Degree In Related Field
Industry Keywords
E-CommerceTravel TechnologyTwo-Sided MarketplaceAgentic AINLPLarge Language Models
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Lead and define the Data Science strategy for Product
- Advise senior Product and Engineering leadership on data-driven decision-making
- Drive development and adoption of scalable, automated, and reproducible data science tooling, platforms, and frameworks
- Explore and integrate emerging AI technologies, including Agentic AI and AI Agents, from proof of concept to production
- Champion experimentation, causal inference, and uplift modeling best practices
- Own complex analytical projects and translate ambiguous questions into actionable recommendations
- Mentor, coach, and develop Data Scientists and Analysts
- Scale impact through automation, self-service, and democratization of data science capabilities
- Develop customer segmentation and predictive models to optimize the product roadmap
- Communicate complex analytical and technical concepts to Product, Engineering, Design, and Commercial teams
Requirements
What you’ll need- Extensive experience in data science or a similar quantitative role, with a proven track record of supporting and influencing a product organization
- Expert-level proficiency in Python and SQL
- Deep, hands-on experience with statistical modeling, (quasi) experimentation, multi-arm bandit, and machine learning techniques including regression, classification, and clustering
- Ability to define, implement, and operationalize product and feature-level metrics from scratch
- Proven track record of driving strategic impact, leading technical discussions, influencing product strategy, and communicating complex insights to cross-functional partners
- Experience scaling analytics capabilities through automated processes, self-service tools, or data products
- Critical-thinking expertise involving rational, skeptical, and unbiased analysis and evaluation
- Outstanding leadership skills, including mentoring, coaching, and developing teams of analysts or data scientists
- Exceptional collaboration and communication skills with cross-functional partners at all levels
- Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field
- Advanced programming background with the ability to build simulations and prototype data products
- Experience validating quantitative findings with qualitative methods such as surveys or user research
- Demonstrated experience with applied AI, including NLP, Large Language Models (LLMs), or Agentic AI for analytics
- Experience in a two-sided marketplace, e-commerce, or travel technology industry is advantageous
- Master's degree or equivalent relevant programs is advantageous
Benefits
Comp & perks- Accessible and inclusive experience for all candidates
- Reasonable accommodation during the application or recruiting process