Data Scientist, Commercial Analytics (R-19743)
Tasks
- Apply statistical techniques to identify key drivers
- Assess renewal risk
- Automate and scale analytical processes
- Build analytical frameworks for ARR growth retention expansion and sales productivity
- Build scalable data pipelines and analytical datasets
- Create segmentation models for territory design and account planning
- Design and evaluate experiments for acquisition retention and expansion
- Develop best practices modeling standards and reusable analytics assets
- Develop deploy maintain machine learning models
- Evaluate and implement AI driven solutions
- Forecast sales
- Identify whitespace opportunities
- Improve data quality and accessibility with data engineering
- Integrate GenAI into commercial workflows
- Maintain documentation and governance for analytical models
- Perform deep dive analyses of customer product and sales performance
- Predict customer churn upsell and cross-sell propensity
- Predict customer lifetime value
- Present insights to executive stakeholders
- Provide actionable business recommendations from analytics
Perks/Benefits
- N/A
Skills/Tech-stack
Amazon Redshift | Classification | Clustering | Databricks | Experimentation | Google BigQuery | Machine Learning | Power BI | Predictive Analytics | Python | R | Regression | SQL | Segmentation | Series forecasting | Snowflake | Statistical Testing | Tableau | Time Series | Time Series Forecasting
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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