Data Scientist, Marketing Analytics
Ostersund - Sweden
Applications have closed
Dun & Bradstreet
About the roleThe 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
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Classification Clustering Computer Science Databricks Julia Machine Learning Mathematics ML models Power BI Privacy Python R Redshift Snowflake Statistics Tableau
Perks/benefits: Career development
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