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r sql python data visualization scala📋 Description
- Shape key data science areas: usage forecasting, product analytics, user behavior.
- Collaborate with Product, Sales, and Customer Success to understand usage and forecast.
- Manage stakeholders: gather requirements, define OKRs, report progress to non-technical audiences.
- Mentor data scientists on planning, technical decisions, and code/document reviews.
- Build self-serve internal data products to simplify data access.
🎯 Requirements
- Experience applying DS/ML in production to build data-driven products.
- Familiarity with Product Analytics: adoption, churn, cohorts, funnel.
- Experience collaborating with stakeholders across Product, CS, Engineering, Sales, Marketing, Finance.
- Strong coding in Scala or Python; testing, code reviews, deployment practices.
- Proficient in data analysis/visualization with R and Python.
- Experience with Spark, Hadoop, and SQL.
- BS/MS/PhD in Computer Science or related field.
🎁 Benefits
- Comprehensive benefits and perks.
- Pay range transparency and regional pay mapping (link).
- Commitment to diversity and inclusion.
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