Associate, Data Scientist

Why We Work at Dun & BradstreetDun & Bradstreet unlocks the power of data through analytics, creating a better tomorrow. Each day, we are finding new ways to strengthen our award-winning culture and accelerate creativity, innovation and growth. Our 6,000+ global team members are passionate about what we do. We are dedicated to helping clients turn uncertainty into confidence, risk into opportunity and potential into prosperity. Bold and diverse thinkers are always welcome. Come join us!
Data Science sit at the core of what we do at Dun & Bradstreet. We use modeling, statistics, machine learning, analytics and visualizations techniques to develop new analytics solutions by leveraging new innovative data types and data sources.Our focus is strong business acumen, coupled with the ability to communicate findings to both business and IT leaders in a way that can influence how an organization approaches a business challenge. Good data scientists will not just address business problems, they will pick the right problems that have the most value to the organization.
A Data science role involves discovering underlying trends in data, extracting, modeling and predicting key insights through machine learning techniques, and driving their implementation to drive revenue. You will perform analytics to improve and develop Dun & Bradstreet’s offering as well delivering value in client specific case in close collaboration with related groups.

Key Responsibilities

• Perform statistical analysis on large datasets with different types of data from Dun & Bradstreet's sources as well as several different types of online data
• Develop models and new variables, through machine learning and NLP techniques.
• Deliver insights in descriptive reports or presentation
• 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 teams
• You are a social person who likes to share your expertise, experiences and tips.
• You are flexible and thrive on change

Key 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
• 2-6 years of experience of working within analytics. You have focused on Statistical modeling, Machine learning or Big Data analysis for at least 1 year.
• You have strong communication skills and good knowledge of speech and writing in English. German or Swedish is a plus.

This role will be based in Solna, or possibly from our Gothenburg office.
FOR US APPLICANTS - Equal Employment Opportunity (EEO): Dun & Bradstreet is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, age, national origin, citizenship status, disability status, sexual orientation, gender identity or expression, pregnancy, genetic information, protected military and veteran status, ancestry, marital status, medical condition (cancer and genetic characteristics) or any other characteristic protected by law.  View the EEO is the Law poster here and its supplement here. View the pay transparency policy here.
We are committed to Equal Employment Opportunity and providing reasonable accommodations to qualified candidates and employees. If you are interested in applying for employment with Dun & Bradstreet and need special assistance or an accommodation to use our website or to apply for a position, please send an e-mail with your request to acquisitiont@dnb.com. Determination on requests for reasonable accommodation are made on a case-by-case basis.