Lead Data Scientist / Sr Data Scientist

Location: Vadodara, India Employment Type: Full-time Location Type: Remote

Company Description

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, we’re always innovating to keep pace with emerging market trends and the increasingly diverse, demanding and connected consumer.

Position Overview

As 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. You’ll 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 modeling solutions. You’ll 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.

Responsibilities

• 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 and 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, and create specifications for the 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 (Essential):

• Bachelors or Masters degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field, requiring outstanding analytical expertise and a strong technical background.
• 2+ years of experience in data science/analytics related product development and/or data solutions development.
• 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.
• Ability to lead prototyping as well as support pilot programs for R&D purposes. Primary areas include (but not limited to) 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.
• Proficient in Python/R/SQL or other statistical packages, as well as version control.

Preferred Qualifications:

• Ability to lead and influence other functional areas as a team and deliver results on time and per-spec.
• Experience with Cloud computing, ETL, advanced data processing techniques (Spark, Hadoop, etc.).
• Experience working on Agile teams.
• Domain experience in managing clients and proven experience.