Manager, Data Science

Job Description

• Own Data Science for a specific-market/industry on new and already established products, services and design.
• Be a Data Science business partner for managing directors, commercial, product, and technology leaders to achieve country specific goals including revenue and EBITDA and other objectives.
• Regularly meet directly with clients to understand strategic business needs, translate them into analytical strategies and offer innovative solutions driven through state of the art methodologies in Data Science.
• Support Client and Commercial teams with Data Science design and methodological questions.
• Play a leading role in the application of data and analytics strategies in support of clients’ business needs.
• Innovate and create out of the box solutions by leveraging large and diverse data sets and state of the art technologies.
• Collaborate and align with other Data Science team units to deliver and prioritize objectives.
• Enable Data Science technology solutions on the ground and ensure solutions meets client needs.
• Leverage Product Enhancement, Product and Technology teams to bring to the market services and solutions.
• Contribute to identifying third parties and evaluate their capabilities and data sets in order to develop new solutions.
• Design and conduct studies, tests and use advanced analytics techniques to build proof of concept and prototypes for use cases.

Qualifications

• Professionals with degrees in Maths, Data Science, Statistics, or related fields involving statistical analysis of large data sets.
• 5+ years of experience in market research or relevant field
• Solid understanding of CPG/FMCG Industry and Retail market impact on client’s business within the market.
• Soft skills qualifications: 

1. Passionate about innovation and technology
2. Experienced connecting with stakeholders and clients proactively, finding  ways to link client's needs with the business.
3. Innovative mindset, creativity, thinking out-of-the-box.
4. Good ability to effectively convey complex concepts to non-experts.
5. Strong Problem-Solving skills
6. Intellectual curiosity and persistence to find answers to questions.
7. Great collaborative and interpersonal skills to communicate at all levels.
8. Ability to set priorities.

• Analytical and Technical skills:

1. Solid understanding of Statistics
2. Strong aptitude for data analysis.
3. Solid critical/ logic thinking.
4. Business acumen, finance and budgeting knowledge
5. Data visualization tools (e.g. Power BI, Tableau, etc) and mapping tools.
6. Programming languages such as Python and R.

• Preferred Qualification

1. Familiar with Nielsen systems/products. (for internal-it is required)
2. Familiar with Machine Learning 
3. Familiar with Cloud computing such as AWS, GCP, Microsoft Azure, etc.
4. Working experience with contemporary database systems.
5. Familiarity with marketing analytics, including designing experiment and consumer behavior analysis.
6. Familiar with Project Management

Additional Information

About NielsenIQ

NielsenIQ is a global measurement and data analytics company providing the most complete and trusted view of consumers and markets in 90 countries covering 90% of the world’s population. Focusing on consumer-packaged goods manufacturers and FMCG and retailers, we enable customers to defy what’s possible. How? We combine unparalleled datasets, pioneering technology, and the industry’s top talent to create insights that unlock innovation. Join us and change the landscape.

Learn more at: www.niq.com

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Our commitment to Diversity, Equity, and Inclusion

NielsenIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us.

We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide.

Learn more about how we are driving diversity and inclusion in everything we do by visiting the NielsenIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion/