Lead Data Scientist

About the Position

We are seeking a Lead Data Scientist to join our Data Science team, focusing on developing retail measurement solutions using ML and AI.

Responsibilities

• Work across functions, including with other data scientists specializing in different areas, on various projects, including R&D and automation to solve the business needs of the day.
• Translate clients’ requirements to actionable solutions or products.
• Ideate and develop solutions for the product innovation pipeline.
• Define the given business problem as a scientific research problem.
• Define and own the roadmap of R&D and prototyping solutions.
• Research solutions, set and execute experiments, prototype the solution, and support the Technology team on productionalizing them.
• Build statistical and analytical models (including ML/AI approaches) as prototypes and POCs to address specific client business needs.
• Test and optimize those models using big data. Fine-tune parameters and iterate.
• Document the solution and experimentation to arrive at it, and create specifications for the Technology team to productionize it.
• Read, write, comment, maintain, and share legible and quality computer code utilized in prototyping and suctioning.

Requirements

• E - Bachelor's or Master's degree or higher in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related field with outstanding analytical expertise and strong technical background. PhD level in the area is a plus.
• E - 5 - 8 years of experience in data science/research.
• E - Good knowledge of statistical and machine learning methodologies: Sampling theory, Probability Theory, Variation analysis, Outlier identification techniques, Regressions, Classification, Time series analysis, Clustering, Monte Carlo simulations, Neural Networks, etc.
• E - Proficient in Python and its most common data science libraries.
• E - Ability to collaborate with other functional areas as a team and deliver results on time and per-spec.
• E - Experience in designing experiments, prototyping, as well as supporting pilot programs for R&D purposes.
• P - Strong Communication skills and ability to present and explain methodological and operational solutions to executive leadership.

We Offer

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

About the Company

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™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.

For more information, visit NIQ.com

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 Diversity and Inclusion page.

Salary: EUR 36,600 – EUR 53,200 gross per year. This role might also be eligible for a performance-based bonus. Placement within the range will depend on objective criteria including experience, skills, and internal equity considerations. We are committed to equal pay and pay transparency. Remuneration decisions are made using gender-neutral and objective criteria.