Data Scientist, Commercial Analytics (R-19743)
On-siteWarsaw, Mazovia, Poland
Job Summary
Develop, deploy, and maintain machine learning models for customer churn prediction, upsell propensity scoring, whitespace identification, and sales forecasting. Apply advanced statistical techniques to identify customer behavior drivers and design experiments to improve acquisition, retention, and expansion outcomes. Build analytical frameworks to boost Sales and Annual Recurring Revenue, create segmentation models for territory design, and partner with senior leaders across Sales, Marketing, and RevOps to identify growth opportunities. Translate complex findings into actionable recommendations, present insights to executives, and automate analytical processes using GenAI and innovative methodologies. Collaborate with data engineering teams to build scalable pipelines, maintain governance standards, and integrate advanced analytics into commercial workflows.
Required Qualifications
- Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Engineering or a related quantitative field
- At least 8 years of experience in Data Science, Advanced Analytics, Commercial Analytics, Revenue Analytics, Marketing Analytics or related disciplines
- 4 years in a senior/scientist capacity
- Proven track record of delivering analytics solutions that drive measurable business impact
- Demonstrated ability to work effectively in cross-functional environments
- Strong proficiency in Python or R
- Advanced SQL skills with the ability to work across large and complex datasets
- Experience building machine learning and predictive analytics solutions
- Strong knowledge of Classification models, Regression techniques, Clustering and segmentation, Time-series forecasting
- Statistical testing and Experimentation methodologies
- Experience with cloud-based analytical platforms namely as Databricks, Snowflake, Redshift or BigQuery
- Experience developing visualizations in Power BI or Tableau
- Strong commercial acumen with the ability to connect analytical outputs to business outcomes
- Excellent stakeholder management and influencing skills
- Strong business storytelling and communication capabilities
- Proficiency in Microsoft Office Suites Skills
- Fluency in English and languages relevant to the working market
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