Data Scientist, Commercial Analytics
Dun & BradstreetBusiness Intelligence company
Warsaw, PolandSenior
Data & AI
About the role
TL;DR
Data Scientist to develop ML models for commercial analytics, driving business growth and customer retention.
- •Dun & Bradstreet is seeking a Data Scientist to develop and deploy machine learning models for commercial analytics.
- •This role involves applying advanced statistical techniques to drive business growth and improve customer retention.
- •Key Responsibilities Develop and deploy machine learning models for churn prediction, upsell/cross-sell scoring, and sales forecasting.
- •Apply statistical techniques to identify key drivers of customer behavior and commercial performance.
- •Build analytical frameworks to improve Sales, ARR, customer retention, and sales productivity.
- •Conduct deep-dive analyses into customer, product, and sales performance.
- •Present insights and recommendations to executive stakeholders.
- •Requirements Bachelor's degree in a quantitative field. 8+ years of experience in Data Science or related fields, with 4 years in a senior/scientist capacity.
- •Strong proficiency in Python or R and advanced SQL skills.
- •Experience building machine learning and predictive analytics solutions.
- •Experience with cloud-based analytical platforms (Databricks, Snowflake, Redshift, BigQuery) and visualization tools (Power BI, Tableau).
Required skills
PythonRSQLscikit-learnDatabricksSnowflakeRedshiftBigQueryPower BI
Nice-to-have skills
Tableau
Tech stack
PythonRSQLDatabricksSnowflakeRedshiftBigQueryPower BITableau
