Strategic Data Scientist for Commercial Growth

Dun & Bradstreet, Inc.

Warszawa

On-site

PLN 220,000 - 300,000

Full time

14 days+

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Job summary

Dun & Bradstreet, Inc. is seeking a Senior Data Scientist for Commercial Analytics to leverage ML, experimentation, and predictive modelling. You will work with large enterprise data to identify growth opportunities, reduce churn, and optimize territory planning.

Collaborate with executive stakeholders and apply data-driven insights to strategic decisions. You will build scalable analytics pipelines, perform deep dives into customer and sales performance, and translate complex results into

Qualifications

Bachelor's degree in a quantitative field.
8+ years of experience in Data Science or Commercial Analytics.
4+ years in a senior/scientist role.
Proven track record delivering analytics with measurable business impact.
Cross-functional collaboration experience.
Proficiency in Python or R and advanced SQL.
Experience building ML solutions and predictive analytics.
Strong knowledge of classification, regression, clustering, and time-series methods.
Experience with cloud-based analytics platforms (Databricks, Snowflake, Redshift, BigQuery).
Experience visualizing data in Power BI or Tableau.
Strong business acumen and stakeholder storytelling.

Responsibilities

Develop, deploy, and maintain ML models for churn, upsell, and forecast.
Apply statistical methods to identify drivers of performance.
Design experiments to improve acquisition, retention, and expansion.
Build analytics frameworks to improve ARR, retention, and revenue.
Conduct deep-dive analyses on customers, products, and sales.
Create segmentation models for territory design and planning.
Collaborate with Sales, Customer Success, Marketing, Finance, Strategy, RevOps.
Translate findings into actionable business recommendations and present to executives.
Identify opportunities to automate and scale analytics processes.
Support GenAI integration into commercial workflows.