Lead Data Scientist at Nielsen

Vadodara, Gujarat, India

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Retail, Market ResearchIndustries

Requirements

Master’s / Doctorate Degree in Data Science, Mathematics, Statistics or Engineering degree in Computer Science, Data Science or related fields involving statistical analysis of large data sets
At least 5 years’ of relevant experience
Exhibits a solid understanding of FMCG Industry for specific core process and Advanced knowledge of RMS systems/products
Experience in designing studies/sampling
Comfortable designing solutions and supporting a team to execute
Displays innovative thinking, data analytical skills, application of statistical techniques and encourages experimentation in delivery of work
Can support others to understand and apply more complicated technical principles & methodologies, creating clarity and focus for teams to deliver
Domain expert knowledge of the following: programming, statistical analysis / machine learning/deep learning, time series, sampling
Experienced in Python programming, machine learning and working with queries and large-scale databases
Preferable knowledge of geospatial data and techniques
Able to work in virtual environment and familiar with git/Bitbucket processes
Drive to continuously learn and adopt new technologies and tools
Strong communication, presentation and collaboration skills

Responsibilities

Own & lead evaluating & improvising the methodologies developed to improve quality of RES Designs and transforming Universe Estimation process involving Machine Learning & Statistical techniques
Research new methodologies, research directions and quantify their improvement
Deliver methodological enhancements improving overall quality & process efficiencies
Work closely with different teams such as technology, other Data Science teams, internal stakeholders during development & deployment of new methodologies
Prototype as well as support pilot programs to drive innovation
Owns and maintains Data Science global methodologies and ensures they are well documented and understood
Asks questions to engage & motivate team on seeking further understanding of data
Reviews the progress of projects and POCs and proposes improvements and constructive critiques

Skills

Machine Learning

Statistics

Data Science

Research

Universe Estimation

Methodologies

Prototyping

Data Analysis

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

Benefits

Health Insurance

401(k) Retirement Plan

401(k) Company Match

Unlimited Paid Time Off

Risks

Competition from digital-native analytics firms threatens Nielsen's market share.

Privacy regulations may impact Nielsen's data collection capabilities.

Private equity acquisition could lead to strategic shifts misaligned with client needs.

Differentiation

Nielsen offers comprehensive cross-platform measurement solutions, including mobile media markets.

The Diverse Media Equity program elevates diverse-owned media companies' visibility.

Nielsen Impact Score evaluates marketing value of university athletic programs.

Upsides

Acquisition of Telephia enhances Nielsen's mobile media measurement capabilities.

Partnerships with P&G and NMSDC support diverse media representation.

Collaboration with TikTok improves digital audience measurement services.

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