Data Scientist, Marketing Analytics

The Marketing Analytics team at Dun & Bradstreet provides our internal partners with data-inspired insights that drive targeting, segmentation and resource prioritization.  We are at the heart of data-driven marketing and our work is powered by the world’s largest and best source of business-to-business data: Dun & Bradstreet. 
 
The Data Scientist will partner closely with the marketing and sales teams to provide analytics, including segmentation and modelling, to drive targeted upsell, cross-sell and new customer acquisition campaigns. The Data Scientist will also deliver predictive analytics to support customer retention campaigns.
 
We are looking for a self-starter who possesses intellectual curiosity, exceptional analytical skills and the ability to communicate complex topics concisely. The ability to turn data into stories that influences decision-making and automate analytical processes will be key to success in this role.

Responsibilities

• Partnerships with marketing and sales teams to establish priorities and drive business outcomes
• Build and deploy machine learning models for upsell, cross-sell and new customer acquisition campaigns
• Utilize product usage data to develop predictive customer retention models
• Develop customer lifetime value and spend benchmark analytics
• Measure impact of targeting and segmentation outcomes
• Provide thought leadership to continuously improve outcomes and processes, including scaling and automation
• Be a catalyst for improvement of existing data sources and predictive analytics
• Scale and appropriately visualize key insights, creating effective stories that influence business outcomes

Skills

• Minimum of three years analytical experience
• Demonstrated influencing skills at senior levels and across multiple functions.
• Excellent written and verbal communication skills
• Advanced R, Python or Julia programming skills
• Machine learning expertise, particularly with classification and clustering algorithms
• Ability to query and manipulate very large datasets
• Experience working with data warehouses such as Redshift, Databricks or Snowflake
• Advanced Tableau or Power BI dashboards building skills
• Bachelor’s degree in Business Management, Mathematics, Statistics, Computer Science or a quantitative field is preferred

Official communication from Dun & Bradstreet will come from an email address ending in @dnb.com.