Sr. Manager - Data Science

Vadodara, Gujarat, India

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Retail Measurement, Data Science, Market ResearchIndustries

Requirements

Candidates must possess a PhD degree in Statistics with exceptional analytical and technical skills. Essential qualifications include extensive experience in trend analyses, multivariate statistics, sampling, bias reduction, indirect estimation, data aggregation techniques, automation, and generalization. Proficiency in Python programming, including data analysis and statistical packages like Pandas, NumPy, and Scikit-Learn, is required, along with familiarity with Python standard library modules such as unittest and argparse. Experience with Spark or other big data processing solutions, machine learning, cloud computing (preferably MS Azure), Docker, and Linux command line is necessary. The ability to rapidly manipulate, analyze, and interpret large data sources is crucial, as are strong communication and writing skills in English for effective collaboration within a global remote team. Preferred qualifications include experience with NIQ methodologies, data collection, platforms, research processes, and operations.

Responsibilities

The Lead Data Scientist will drive the definition and support of new products and methods development, focusing on innovation in data processing for retail measurement and automation of statistical procedures. Responsibilities include defining, planning, and executing analyses for innovation initiatives, methodology development, standards, and KPIs. The role involves prototyping solutions for R&D purposes, including trend analyses, representation/sampling, bias reduction, indirect estimation, data integration, automation, and generalization. This position also entails test-driven development of scalable data processing applications, delivering high-quality documentation of new methodologies and best practices, and collaborating with developers, data scientists, and technology engineers. The Lead Data Scientist will support Operations teams, engage with stakeholders on project scope and outcomes, and manage participation in multiple projects simultaneously. Knowledge of machine learning algorithms, deep learning frameworks, data visualization tools, SQL and NoSQL databases, and cloud platforms is essential for this role.

Skills

Machine Learning

Deep Learning

TensorFlow

PyTorch

Data Visualization

Tableau

Power BI

Matplotlib

SQL

NoSQL

MongoDB

AWS

Azure

Google Cloud

Data Science

Methodology Development

Automation

Statistical Procedures

Retail Measurement

Trend Analysis

Bias Reduction

Indirect Estimation

Data Integration

Test-Driven Development

Scalable Data Processing Applications

Documentation

Stakeholder Engagement

Nielsen

Global measurement and data analytics provider

About Nielsen

Nielsen provides measurement and data analytics services to help businesses understand consumers and markets globally. The company operates through two main divisions: Nielsen Global Media, which offers reliable metrics for the media and advertising industries, and Nielsen Global Connect, which supplies consumer packaged goods manufacturers and retailers with actionable insights about the marketplace. Nielsen combines its proprietary data with other sources to give clients a comprehensive view of current trends and future opportunities. With a presence in over 100 countries, Nielsen aims to support companies in making informed decisions to drive innovation and growth.

Town of Clarkstown, New YorkHeadquarters

1963Year Founded

$45.1MTotal Funding

ACQUISITIONCompany Stage

Data & Analytics, ConsultingIndustries

10,001+Employees