Data Scientist III, Product Analytics
Expedia Group
full-time
Posted on:
Location Type: Office
Location: Bangalore • India
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About the role
- Partner with product teams to clarify business problems, define success metrics, and translate ambiguous questions into structured analytical plans.
- Design, run, and analyze experiments (A/B tests, pre/post, quasi‑experimental reads) to measure impact, quantify trade‑offs, and guide iteration.
- Perform deep‑dive product analysis (funnels, cohorts, segmentation, sizing) to uncover drivers of performance and identify opportunities for growth and customer experience improvements.
- Build reliable datasets and dashboards using SQL and modern BI tools, enabling self‑serve product performance monitoring across platforms (web, app, partner).
- Apply solid statistical thinking (probability, sampling, inference, regression) to ensure reads are robust, distinguish signal from noise, and clearly communicate caveats.
- Use Python/R (or similar) to prototype models and advanced analyses when needed (e.g., regression, clustering, simple prediction) and to automate recurring analytics workflows.
- Tell clear, compelling stories that move stakeholders from insight to action—framing context, methods, results, and recommendations for both technical and non‑technical audiences.
- Champion data quality and reproducibility by following best practices for data validation, query performance, version control, and documentation.
- Collaborate and upskill others by seeking peer review, sharing best practices, and providing light mentorship to more junior analysts or data scientists.
Requirements
- 5+ years of experience in analytics, product analytics, or data science roles
- Bachelor’s or Master’s degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics, Engineering) or equivalent practical experience
- Proven track record of delivering data‑driven insights and recommendations that influenced product decisions or drove measurable performance improvements.
- Strong SQL: able to work confidently with large, complex datasets; write intermediate queries (joins, subqueries, CASE logic, window functions, unions); and optimize for performance and cost.
- Experience with at least one scripting language such as Python or R for analysis, modeling, and automating recurring tasks.
- Experimentation and statistics: comfortable with hypothesis testing, confidence intervals, experiment design, and interpreting regression/logistic regression outputs.
- Hands‑on experience with A/B testing platforms and understanding of when to use experiments vs. observational or exploratory analysis.
- Data visualization and dashboarding skills (e.g., Tableau, Power BI, or similar) with a focus on clarity, appropriate chart selection, and inclusive design basics (e.g., color use, accessibility).
- Ability to build and validate basic models (e.g., linear/logistic regression, simple clustering) and understand data/feature requirements and key assumptions.
- Demonstrated product sense: ability to connect metrics to customer journeys, refine problem statements, and propose pragmatic analytical approaches aligned with business timelines.
- Experience defining or refining product KPIs, building scorecards, and monitoring performance for ongoing features and launches.
- Strong critical thinking and problem‑solving skills; able to break complex problems into manageable analytical steps and iterate based on learnings.
- Excellent communication and influencing skills—comfortable presenting to PMs, engineers, designers, and senior leaders, and adapting depth/rigor to the audience.
- Collaborative working style, with a proactive, ownership‑oriented mindset and openness to feedback, peer review, and continuous learning.
Benefits
- Full benefits package
- Exciting travel perks
- Generous time-off
- Parental leave
- Flexible work model
- Career development resources
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
SQLPythonRA/B testingstatistical analysisdata visualizationregressionclusteringdata modelinghypothesis testing
Soft Skills
critical thinkingproblem-solvingcommunicationcollaborationmentorshipinfluencingstorytellingadaptabilityownershipcontinuous learning