Lead Data Scientist

Short Summary

Lead Data Scientist with NielsenIQ. On a daily basis you’ll be expected to: Work across functions, including with other data scientists specializing it 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…

Key Details

• Position / opportunity: Lead Data Scientist
• Organization: NielsenIQ
• Country / coverage: Portugal
• Location: Lisbon, 11, Portugal
• Work arrangement: On-site
• Opportunity type: Volunteer opportunities
• Sector: Education
• Compensation: Not specified
• Duration: Not specified
• Start date: 2026-06-29
• Application deadline: Not specified

Description

On a daily basis you’ll be expected to: Work across functions, including with other data scientists specializing it 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 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 to it, and create specifications for Technology team to productionize it Read, write, comment, maintain, and share legible and quality computer code utilized in prototyping and suctioning. Role requirements: (E=essential, P=preferred) E – Bachelors or Masters degree or higher in Computer Science, Data Science, Statistics, Mathematics, Engineering or related field with requiring 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. This role offers flexible working mode (1per week at the office – 4 days from home) Additional Information Salary: 36.600,00 – €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. 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 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…

Responsibilities

• On a daily basis you’ll be expected to: Work across functions, including with other data scientists specializing it different areas, on various projects, including R&D and automation to solve the business needs of the day Translate Clients’ requirements to…
• Document the solution and experimentation to arrive to it, and create specifications for Technology team to productionize it Read, write, comment, maintain, and share legible and quality computer code utilized in prototyping and suctioning.
• Role requirements: (E=essential, P=preferred) E – Bachelors or Masters degree or higher in Computer Science, Data Science, Statistics, Mathematics, Engineering or related field with requiring outstanding analytical expertise and strong technical background.
• 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…
• 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.

Requirements / Eligibility

• 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…
• Document the solution and experimentation to arrive to it, and create specifications for Technology team to productionize it Read, write, comment, maintain, and share legible and quality computer code utilized in prototyping and suctioning.
• Role requirements: (E=essential, P=preferred) E – Bachelors or Masters degree or higher in Computer Science, Data Science, Statistics, Mathematics, Engineering or related field with requiring outstanding analytical expertise and strong technical background.
• 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…
• E – Proficient in Python and its most common data science libraries.

How To Apply

Use the Apply now button and follow the instructions on the application page.