Data Scientist - Media Analytics

Key Skills

Java Programming, Analytical and Problem solving, Python Programming, SQL, AWS, Data science techniques, NumPy, Pandas, PyTorch, SciPy, Scikit-learn, matplotlib

Job Description

Data Science is at the core of Nielsen’s business. Our team of researchers come from diverse disciplines and they drive innovation, new product ideation, experimental design and testing, complex analysis and delivery of data insights around the world. We support all International Media clients and are located where our clients are.

Data Scientist - Media Analytics

WHY YOU?

• You are curious, persistent, logical and with a growth mindset – a true data enthusiast at heart.
• You enjoy living by the code of your craft and delivering outstanding solutions for complex problems.
• You love designing solutions and models to support decision making.
• With your experience you are able to train others and to make the decisions to get the team closer to the best solution.
• You are passionate for the future trends of data practice and dare to design and deliver new solutions for known or so far unknown challenges. 

WHAT IS THE ROLE?

You will be part of a young and international team to provide the best solutions to major clients all around the globe. Using advanced modeling and analytics, you work hands-on in either our client project team to help brands in their media evaluation, or in our R&D team to develop future solutions and scale existing product offerings. At the same time you are able to take the (technical) lead in small or medium sized projects, or to be the methodological expert on certain R&D initiatives.

Tasks and Responsibilities to expect in this role:

• Write and review code in collaboration with other team members to process structured and unstructured (client) data using advanced analytical solutions
• Use and fit different mathematical and econometric models for explanatory purposes that deliver better decisions
• Translate model outcomes into actionable insights and business value
• Create high-quality data visualizations for internal and external purposes
• Contribute to the standardization and scalability of existing and new client solutions
• Make key decisions in a project or R&D initiative and take accountability for these decisions
• Communicate and collaborate effectively with others (e.g. other team members, project leads) to discuss complex data-driven and code-related matters
• Guide and coach more junior team members in their coding and modeling tasks

Requirements

• Several years of experience in a Data Science or related role
• Master’s Degree in Econometrics, Computer Science, Math, Applied Statistics or a related field
• Several years of programming experience in python
• Experience with data analysis tools and libraries, such as NumPy / SciPy / scikit-learn / pandas / matplotlib, etc.
• Experience with PyTorch and Bayesian statistics is a plus
• Familiarity with at least one of the cloud providers (e.g. AWS)
• A keen eye for data properties and how to sense-check them
• Aptitude for problem solving, also when confronted with imperfect data or knowledge
• English proficiency
• Residing in The Netherlands or willing to relocate

ABOUT NIELSEN

As the arbiter of truth, Nielsen Global Media fuels the media industry with unbiased, reliable data about what people watch and listen to. To discover what’s true, we measure across all channels and platforms?—from podcasts to streaming TV to social media. And when companies and advertisers are armed with the truth, they have a deeper understanding of their audiences and can accelerate growth.

Do you want to move the industry forward with Nielsen? Our people are the driving force. Your thoughts, ideas and expertise can propel us forward. Whether you have fresh thinking around maximizing a new technology or you see a gap in the market, we are here to listen and take action. Our team is made strong by a of thoughts, experiences, skills, and backgrounds. You’ll enjoy working with smart, fun, curious colleagues, who are passionate about their work. Come be part of a team that motivates you to do your best work!