Responsibilities:
Perform analysis on large datasets with different types of data from Dun & Bradstreet’s sources as well as several different types of customer data. Bring new projects forward and develop models and new variables, through machine learning and other techniques.Deliver insights in descriptive reports.Maintain and monitor generic models in internal flows and contribute to our ongoing development of internal processes.You will contribute with your expertise on new data sources and internal product development processes to assist other members of the team.
WE ARE LOOKING FOR A DATA SCIENTIST SHARING OUR VALUES:
You are curious and like to learn new things.You see solutions, not the problems!You have a strategic mindset You like working in teamsYou are a social person who likes to share your expertise, experiences and tips.You are flexible and thrive on change
Requirements:
You have an analytical and critical thinking, if you have worked with business and market analysis before, it is even better!Academic university degree in statistics, econometrics, mathematics, computer science, economics and / or civil engineering.Good knowledge of Python and SQL. Experience working in SAS (Base, EG or Viya is a plus.3-5 years of experience of working within analytics. You have focused on Statistical modeling, Machine learning or Big Data analysis for at least 2 years.You have strong communication skills and good knowledge of speech and writing in English. Swedish or German is a plus.