Sr Data Scientist

Job Description**
Sr Data Scientist**

**About this job**

As the world's largest research organization, Nielsen is powered by talented creative scientists. Our Data Scientist Business Leaders come from diverse disciplines such as statistics, research methodology, mathematics, psychology, business, engineering, physics and demography. These professionals drive innovation, new product ideation, develop complex analysis and deliver data insights to measure what consumers buy.

**Responsibilities**:

- 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.
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.
- Enable your team to focus on innovation and contribute to the company's objectives.
- Coach and develop junior data scientists.
- Lead the team and provide performance objectives.
**About you**:
A successful Revenue Associate will drive innovation, new product ideation, develop complex analysis and deliver data insights to measure what consumers buy.

**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:

- Passionate about innovation and technology
- Experienced connecting with stakeholders and clients proactively, finding ways to link client's needs with the business
- Innovative mindset, creativity, thinking out-of-the-box.
- Good ability to effectively convey complex concepts to non-experts.
- Strong Problem-Solving skills
- Intellectual curiosity and persistence to find answers to questions.
- Ability to set priorities.
- Good leadership skills.
- Business acumen, consultative skills and empathy for clients.
- Great command of written and spoken English
- Eager to continuously learn and adapt to changing technologies and tools.
- Good ability to make decisions and successfully manage multiple assignments concurrently in a high pressure environment.
- Good people management skills and coaching.[in case there is a team/people manager]

Analytical and Technical skills:

- Solid understanding of Statistics
- Strong aptitude for data analysis.
- Solid critical/ logical thinking.
- Business acumen, finance and budgeting knowledge
- Experienced in data visualization tools (e.g. Spotfire, Tableau, etc) and mapping tools.
- Experienced with programming languages such as Python and R.
- Knowledge of SQL

Additional Information
REF14284D

**About NielsenIQ**

NielsenIQ is committed to hiring and retaining a diverse workforce. 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.