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Lead Data Scientist

External
Nielseniq logoNielseniq · Lisbon, Portugal
Full-timeOn-siteToday
ClassificationClusteringComplianceLeadershipMachine LearningPrototyping
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Benefits

Flexible working environmentVolunteer time offLinkedIn LearningEmployee-Assistance-Program (EAP)About NIQFor more information, visit NIQ.comWant to keep up with our latest updates?Follow us on: LinkedIn | Instagram | Twitter | FacebookOur commitment to Diversity, Equity, and InclusionFlexible scheduleEquity / stock optionsPerformance bonus

Additional Information

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.


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