Job description

Job Description

On a daily basis you’ll be expected to:

  • Translate Clients’ requirements to actionable solutions or products
  • Ideate and develop solutions for the product innovation pipeline.
  • Build statistical and analytical models (including ML/AI approaches) as prototypes and POCs to address specific client business needs
  • Test and optimize those models big data. Fine tune parameters and iterate.
  • Adapt and plan implementation of these models to current production platform, guiding their iteration with other production processes
  • Document the solution and experimentation to arrive to it, and create specifications for Technology team to productionize it
  • Evaluating potential solutions’ fit vs product requirements
  • Refine and enhance product features
  • Maintain data integrity and quality throughout the development lifecycle
  • Read, write, comment, maintain, and share legible and quality computer code utilized in prototyping and suctioning.
  • Guide other more junior data scientists along the projects

Role requirements: (E=essential, P=preferred)

  • E - Bachelors or Masters degree in Computer Science, Data Science, Statistics, Mathematics, Engineering or related field with requiring outstanding analytical expertise and strong technical background
  • E - 5+ years of experience in data science/analytics related product development and/or data solutions development
  • E - Vast 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, etc.
  • E - Proficient in Python and its most common data science libraries.
  • E - Experience with cloud computing and storage, ETL, experience with Big Data handling (through Spark, Dask, Hadoop or other; e.g. in DataBricks in Azure, AWS etc.), basic administration of a LINUX virtual machine.
  • E - Ability to lead and influence with other functional areas as a team and deliver results on time and per-spec.
  • P – Experience in designing experiments, prototyping as well as supporting pilot programs for R&D purposes.
  • P - Domain in managing clients and proven experience of solving complex client requirements.
  • P -Strong Communication skills and ability to present and explain methodological and operational solutions to executive leadership.

Additional Information

About NielsenIQ

NielsenIQ is a global measurement and data analytics company that provides the most complete and trusted view available of consumers and markets worldwide. We provide consumer packaged goods manufacturers/fast-moving consumer goods and retailers with accurate, actionable information and insights and a complete picture of the complex and changing marketplace that companies need to innovate and grow. Our approach marries proprietary NielsenIQ data with other data sources to help clients around the world understand what’s happening now, what’s happening next, and how to best act on this knowledge. We like to be in the middle of the action. That’s why you can find us at work in over 90 countries, covering more than 90% of the world’s population. For more information, visit

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.

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