Sr. Data Scientist - Product Analytics
New
S
Must reside in U.S.Full-TimeSenior
Salary140,000 - 200,000 USD per year
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Job Details
- Experience
- 3 years
- Required Skills
- PythonSQLMachine LearningTableauA/B testingR
Requirements
- Bachelor’s degree or U.S. equivalent in Industrial Engineering, Analytics, Data Science, Mathematics, Statistics, Operations Research, or a related field
- 3 years of professional experience as a Data Scientist, Database Administrators, or any occupation, job title, position working with product analytics techniques, machine learning, statistics, and experimental design
- 3 years of professional experience utilizing analytical skills for problem solving; and performing descriptive analysis, diagnostic analysis, predictive analysis and prescriptive analysis
- 3 years of professional experience utilizing programming languages including Python, R, and SQL and visualization tools including Tableau
- 3 years of professional experience building strong cross-functional partnerships with Product, UX, Engineering, and Business teams and communicating complex analytical findings (including machine learning insights, experiment results, user behavior metrics, and product performance analyses) in a clear, actionable manner to drive data-informed decision-making and foster a collaborative, data-driven culture
- 3 years of professional experience leveraging data analytics, experimentation, causal inference, and machine learning techniques to meaningfully impact product strategy, roadmap decisions, and execution by designing metrics, conducting A/B tests, developing automated reporting, analyzing customer behavior, identifying improvement opportunities, and delivering insights that improve user acquisition, engagement, retention, and overall product performance
- 3 years of professional experience researching, adopting, and applying new analytical tools, machine learning methodologies, experimentation frameworks, and data visualization technologies to improve the scalability, efficiency, and quality of analytics work, enabling more robust insights, deeper product understanding, and enhanced support for product ideation and feature optimization
Responsibilities
- Leverage data analytics and machine learning techniques to inform product development, optimize user experiences, and drive key performance metrics such as user acquisition, engagement, retention, and growth
- Partner with Product, UX and Engineering teams, understand their goals, and execute on opportunities to draw relevant insights and drive tangible impact
- Understand our customer needs and design metrics to analyze how our customers are using product and optimize products and features
- Conduct experiments, causal studies and A/B tests to measure the impact of product changes
- Leverage data to understand product performance and to identify improvement opportunities
- Complete the full analytics lifecycle from understanding the business objective and understanding the data to developing automated reporting and visualizations
- Effectively present analysis to teams and give data-based recommendations to encourage data-driven decisions, assisting in product ideation and feature launch decisions
- Think strategically on how to scale your work
- Identify areas for further investigation
- Drive data culture within the Product, UX and Engineering teams
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