Lead Data Scientist
Vadodara, GJ, India
NielsenIQ
Identify your next big move with the world's most comprehensive market research and consumer insights.Job Description
Business Unit: Data Science
Function: Center of Statistical and Data Science Research â Non Cooperator Estimation
Role: Lead Data Scientist / Sr Data Scientist
Location: Vadodara, India
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In 100 countries around the world, NielsenIQ provides clients the most complete understanding of how the FMCG market evolves and what consumers buy. As a global leader in measurement and information, we believe providing our clients a precise understanding of the consumer is the key to making the right decisions -- decisions that can lead to profitable growth. At NielsenIQ, weâre always innovating to keep pace with emerging market trends and the increasingly diverse, demanding and connected consumer.
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Being a Lead Data Scientist in the Center of Statistical and Data Science Research, you will play a critical role in developing and implementing the next generation of solutions we offer our clients, powered by algorithms and AI and leveraging large volumes of internal data, client data and third party data.
Youâll be actively participating with other team members in the overall Product creation process. From ideation through Proof Of Concept and experimenting for methodological development, to output visualization and fine tuning the setup to take into account different market specifics. You will be learning and exploring the newest technologies & applications for data streaming, data architecture, and data modelling solutions. Youâll work alongside a group of talented individuals with different areas of expertise including best in class data scientists, product managers, and data collection specialists with the main purpose of accelerating innovation.
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On a daily basis youâll be expected to:
- 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
- Adapt implementation and fine tune the setup of these models to new markets, new projects.
- Support productionizing those models by writing specifications to our Technology teams, supporting the development and testing the production implementation against your prototypes
- Document the solution and experimentation to arrive to it, and create specifications for Technology team to productionize it
- 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 solutioning.
Qualifications
Role requirements:Â 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 - 2+ years of experience in data science/analytics related product development and/or data solutions development
- E - Knowledge of statistical and machine learning methodologies: Sampling theory, Probability Theory, Variation analysis, Outlier identification techniques, Regressions, Classification, Time series analysis, Clustering, Neural Networks, etc.
- E â Ability to lead prototyping as well as supporting pilot programs for R&D purposes. The primary areas include â but not limited to â trend analyses, identifying gaps for improvements in coverage, representation/ sampling, bias reduction, indirect estimation, data integration, automation, generalization, harmonization as well as working with different data sources.
- E - Proficient in Python/ R/ SQL or other statistical packages as well as version control.
- P - Ability to lead and influence with other functional areas as a team and deliver results on time and per-spec.
- P - Experience with Cloud computing, ETL, advanced data processing techniques (Spark, Hadoop, etc.)
- P - Experience working on Agile teams
- 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
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Additional Information
Our Benefits
- Flexible working environment
- Volunteer time off
- LinkedIn Learning
- Employee-Assistance-Program (EAP)
About NIQ
NIQ is the worldâs 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 insightsâdelivered with advanced analytics through state-of-the-art platformsâNIQ delivers the Full Viewâą. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the worldâs population.
For more information, visit NIQ.com
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Our commitment to Diversity, Equity, and Inclusion
NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. 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. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center:Â https://nielseniq.com/global/en/news-center/diversity-inclusion
* Salary range is an estimate based on our AI, ML, Data Science Salary Index đ°
Tags: Agile Architecture Classification Clustering Computer Science Engineering ETL Hadoop Machine Learning Mathematics Probability theory Prototyping Python R R&D Research Spark SQL Statistics Streaming Testing
Perks/benefits: Career development Flex hours Flex vacation
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