Lead Data Scientist (FMCG)

NielsenIQ · Full-time · Posted 1mo ago

Company Description

NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View(TM).

Job Description

About the job

As the world's largest research organization, Nielsen IQ is powered by talented creative scientists. Our Data Scientist Clients 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 delivery of data insights to measure what consumers buy. The role is for a client-facing Data Science leader supporting markets, balancing analytics, team leadership, and business impact.

Responsibilities

Own Data Science solutions for a specific market/industry on new and already established products, services and design.

Be a Data Science business partner for country / cluster leaders, 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.

Own Data Science solutions for client requests and provide initial recommendations for complex client raised issues

Play a leading role in the application of data and analytics strategies in support of clients’ business needs.

Accompany senior leaders meet with clients to understand business needs and help offer innovative solutions

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 meet client needs.

Contribute to identifying third parties and evaluating their capabilities and data sets 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.

Qualifications

About you

You’ve dabbled in data. You’ve perused Python. And you have the communication chops to translate it all into conversation or presentations. While you’ve worked with global cross-functional teams, you can also put your head down and focus on independent projects. Seeing the big picture takes attention to detail. You know what’s happening in big data, and you’re ready to influence what’s next.

Qualifications

Professionals with degrees in Maths, Data Science, Statistics, or related fields involving statistical analysis of large data sets.

6+ 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.

Work experience on consumer sourced data solutions is preferred

Soft skills qualifications:

Passionate about innovation and technology

Experienced connecting with stakeholders and clients proactively, finding ways to link clients' 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.

Great collaborative and interpersonal skills to communicate at all levels with a humble outlook towards seniors and juniors alike.

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.

Analytical and Technical skills:

Solid understanding of Statistics

Strong aptitude for data analysis.

Solid critical/ logical thinking.

Business acumen, finance and budgeting knowledge

Knowledge / familiarity with data visualization tools (e.g. Spotfire, Tableau, etc) and programming languages (Python, R), preferred.

Good to Have

Familiar with Nielsen systems/products. (for internal-it is required)

Familiar with Machine Learning

Working knowledge with data visualization tools (e.g., Spotfire, Tableau, etc) and mapping tools.

Working experience with contemporary database systems.

Familiarity with marketing analytics, including design experiment and consumer behavior analysis.

Familiar with Project Management.

Additional Information

Benefits:

• Exciting work environment that brings people together.

• Use the latest digital technologies.

• Ongoing trainings to support your development.

• Opportunities for personal and professional growth.

• Great compensation linked to individual performance and company results.

• Hybrid work

Our Benefits

Flexible working environment
Volunteer time off
LinkedIn Learning
Employee-Assistance-Program (EAP)

NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://nielseniq.com/global/en/info/niqs-ai-safety-policies/

About NIQ

For more information, visit NIQ.com

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Our commitment to Diversity, Equity, and Inclusion

At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion

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