Data Scientist (R-15968)

Join Our B2C Sales & Marketing Analytics Team as a Data Scientist

Become an integral part of our B2C Sales & Marketing Services Analytics team at Dun & Bradstreet. We are a dynamic group of data scientists and analysts spread across the Nordics, dedicated to enhancing and expanding our consumer-oriented offerings. We thrive on teamwork and interdepartmental collaboration with our Product, Data, Tech, and Sales teams to drive our projects to success.

Job Description:

As a Data Scientist, you will:

• Analyze vast datasets incorporating diverse data types from Dun & Bradstreet's vast resources and various customer data to derive actionable insights.
• Develop innovative models, create new attribute variables, and work on client-specific projects, including targeting optimization and segmentation.
• Employ machine learning techniques to devise predictive models and other data-driven solutions.
• Assess model performance using relevant metrics, validating models to guarantee their reliability and robustness.
• Collaborate across teams to bolster our Analytics capabilities integrated within our products.
• Enhance your knowledge continuously in data science and machine learning, driving innovation and contributing with your expertise on new data sources and internal product development processes.

Who We Are Looking For:

We value a Data Scientist who is:

• Team-oriented with excellent collaboration skills.
• Socially engaged, eager to share knowledge, and learn from peers.
• Driven by curiosity and a relentless pursuit of learning new things.
• A solutions-focused thinker who sees opportunities where others see obstacles.
• Adaptable and thrives in a dynamic, changing environment.

Your Experience and Skills:

• A solid analytical thinker with critical problem-solving skills and experience in consumer and market analysis (preferred).
• An academic background in data science, statistics, econometrics, mathematics, computer science, economics, or civil engineering.
• At least 4 years of experience with Python/PySpark, developing models and processes, and creating integrated analytics modules.
• Proficiency in managing and optimizing large datasets, with a flair for crafting impactful data visualizations.
• Adept in evaluating model performance and continuously refining solutions.
• Strong foundation in statistical models and/or machine learning techniques.
• Proficient in both English and Swedish, verbal and written.
• Technical proficiency in Python, PySpark, SQL, Github, Databricks, GCP, ML Flow.

Additional Information:

• Company Name: Dun & Bradstreet
• Job Title: Data Scientist (R-15968)

Ready to advance your career as a Data Scientist and shape the future of B2C analytics? Join us at Dun & Bradstreet, where we leverage collaboration, innovation, and the power of data to lead the market. Apply now!