Data Scientist – LATAM Based Only
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Job Description
Senior Data Scientist at In All Media analyzing user behavior to drive product decisions and influence strategy. Focused on data-informed insights and collaboration with cross-functional teams to optimize product features.
Responsibilities:
- Drive data informed product decisions through advanced analysis, experimentation, and strategic insight.
- Focus on understanding user behavior, sizing opportunities, and measuring the impact of product features.
- Analyze user behavior patterns using Python and SQL to uncover insights that inform product strategy and execution.
- Evaluate and recommend improvements to messaging features based on quantitative analysis and user behavior signals.
- Size opportunity areas and estimate the potential impact of product initiatives to support prioritization decisions.
- Design, analyze, and interpret experiments, including A/B tests, to validate product changes and guide decision making.
- Provide long term, strategic guidance by identifying trends and patterns across large scale datasets.
- Partner closely with product managers, engineers, and designers to prioritize features and enhancements using data driven evidence.
Requirements:
- Senior level experience in product data science, typically 5+ years, with a proven track record influencing product decisions.
- Strong proficiency in Python for data analysis and modeling, including pandas, numpy, and Jupyter based workflows.
- Advanced SQL skills for querying and analyzing large scale datasets in environments such as Postgres, BigQuery, or similar.
- Solid foundation in statistics and experimentation, including A/B test design, analysis, and interpretation.
- Demonstrated ability to size opportunities and assess feature impact using quantitative and analytical methods.
- Strong communication skills, with experience translating complex analysis into clear, actionable insights for non technical stakeholders.
- Experience applying data visualization best practices to effectively communicate findings.
Benefits:
- Remote role aligned with US Central Time business hours
- Occasional flexibility for global collaboration is expected
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