Job description

You will be part of our B2C Sales & Marketing Services Analytics team. We are a team of data scientists and analysts, working across the Nordics to create, promote and grow our B2C offering. Our success relies on collaboration – both within the team, and with other teams such as Product, Data, Tech and Sales teams.

Job Description

  • 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.

We are looking for a Data Scientist sharing our values

  • 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

Your Experience

  • 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

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