Statistician I

Nielsen Holdings Plc; India; On-site; INR 1,100,000 - 1,800,000; Full time

Job summary

Nielsen Holdings Plc in India is seeking a Data Scientist focused on statistics, research methodologies, sampling, ANOVA, and ML applications.

You will design experiments, develop sampling strategies, preprocess data, and communicate results to stakeholders. Collaborate with engineers, product teams, and domain experts to drive data-driven decisions. Experience with cloud-based data tools and strong statistical grounding is required.

Qualifications

• Master's or Ph.D. in Statistics, Biostatistics, Data Science, or a closely related quantitative field.
• Proficiency in Python, Spark, SQL, AI/ML; Bash and Git basics.
• Experience with Databricks, Airflow, AWS and cloud data tools.

Responsibilities

• Design, execute, and interpret ANOVA and other tests to inform decisions.
• Develop sampling strategies to ensure data representativeness and minimize bias.
• Clean, preprocess, and engineer features to improve model performance.
• Communicate analytical results to both technical and non-technical stakeholders.
• Collaborate with cross-functional teams to define research questions and solutions.
• Gain expertise in US TV Audience Measurement data structures and weighting.
• Create dashboards with informative data visualizations and assess data quality.

Skills

Python

Spark

SQL

AI & ML

Bash

Git

Databricks

Airflow

AWS

Education

Master's or Ph.D. in Statistics, Biostatistics, Data Science, or closely related field

Tools

Databricks

Airflow

AWS

Job description

At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, global workforce is dedicated to capturing audience engagement with content - wherever and whenever it’s consumed. Together, we are proudly rooted in our deep legacy as we stand at the forefront of the media revolution. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. We enable your best to power our future.

Job Description

Nielsen Media is the global leader in measuring what people watch and listen to on TV, Digital and Audio in a changing media landscape. Data Science is essential to Nielsen’s mission. We offer a fast-paced environment for methodology and software development in a team of world-class computer scientists, statisticians, data scientists, and behavioral methodologists

This job description outlines the responsibilities and qualifications for a Data Scientist role with a primary focus on Statistics, Research methodologies, Sampling, ANOVA, and the application of these principles within Machine Learning and Data Science contexts.

Key Responsibilities

• Statistical Research & Analysis: Design, execute, and interpret ANOVA (t-tests, multi-factor, repeated measures) and other parametric/non-parametric tests to test hypotheses, draw statistically sound conclusions, and inform business or scientific decisions.
• Sampling Strategy & Design: Develop and implement effective sampling methodologies (e.g., random, stratified, cluster, systematic) to ensure data representativeness, minimize bias, and optimize resource allocation for data collection efforts. Calculate and justify appropriate sample sizes and power analysis.
• Data Preparation & Feature Engineering: Clean, preprocess, and transform complex datasets, applying statistical principles to feature selection and engineering to enhance model performance.
• Reporting & Communication: Communicate complex analytical results, statistical methods, and model performance metrics clearly and concisely to technical and non-technical stakeholders through reports, visualizations, and presentations.
• Collaboration & Mentorship: Collaborate with cross-functional teams (e.g., engineers, product managers, domain experts) to define research questions and implement data-driven solutions.
• Learn and become an expert in US TV Audience Measurement, with a focus on data structures, computations, and sampling/weighting.
• Data Quality : Define and implement data quality assessments. Perform creative and effective analyses of input and output data.Create dashboards with informative data visualization

Qualifications

• Education: Master's or Ph.D. in Statistics, Biostatistics, Data Science, or a closely related quantitative field.

Technical & Statistical Software:

• Proficiency in Python, Spark, SQL, Artificial intelligence and Machine learning
• Working knowledge of bash and git.
• Experience working with cloud-based or big data technologies (e.g. Databricks, Airflow, AWS)
• Ability to work alone and in a team
• Strong communication and presentation skills, with a keen eye for detail;
• Experience with taking the (technical) lead in projects; project management experience and working in an agile setting is a plus

Expertise:

• Deep theoretical and practical understanding of probability, statistical inference, hypothesis testing (especially ANOVA), and experimental design.
• Demonstrated experience with various sampling techniques and their associated statistical challenges (e.g., weighting, variance estimation).
• Proven ability to develop and deploy machine learning models in a real-world setting.
• Strong analytical, problem-solving, and critical-thinking skills. Excellent written and verbal communication.

Additional Information

• Experience with A/B testing design and analysis.
• Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch).
• Experience using cloud computing platforms (e.g., AWS, Azure, GCP) for data processing and model deployment.
• Knowledge of Bayesian statistics or causal inference methods.