Data Scientist (R-15968)

• Analyze large datasets with different types of data from Dun & Bradstreet's sources as well as several different types of customer data.
• Develop models and new attribute variables, and deliver on client specific projects (targeting optimization, segmentations etc)
• Apply machine learning techniques to build predictive models and other data driven solutions.
• Evaluate model performance using appropriate metrics and validate models to ensure reliability and robustness.
• Join cross-team collaboration to develop Analytics capabilities integrated in our products
• Contribute with your expertise on new data sources and internal product development processes.
• Thirst for advancements in data science and machine learning to enhance expertise and contribute to innovation.

• You like working in teams
• You are a social person who likes to share your expertise, experiences and tips.
• You are curious and like to learn new things.
• You see solutions, not the problems!
• You are flexible and thrive on change

• You have an analytical and critical thinking, if you have worked with consumer and market analysis before, it is even better!
• Academic university degree in data science, statistics, econometrics, mathematics, computer science, economics and / or civil engineering.
• 4+ years of experience working with Python/PySpark. developing models and processes, creating integrated analytics modules.
• Expertise in organizing and refining raw data for analysis, coupled with ability to craft impactful data visualization.
• Ability to evaluate model performance and iterate on solutions for continuous improvement.
• Solid knowledge about statistical models and / or machine learning.
• You have good knowledge in both English and Swedish, verbal and written.
• Tech stack keywords: Python, PySpark, SQL, Github, Databricks, GCP, ML Flow

Dun & Bradstreet