{"@context":"https://schema.org/","@type":"JobPosting","title":"AI / ML Data Scientist I","description":"

Company: Nielsen

About the Company

Nielsen Media is a global leader in measuring audience engagement across television, digital platforms, and audio. Data science plays a vital role in Nielsen's mission. The company offers a dynamic work environment where computer scientists, statisticians, data scientists, and behavioural researchers collaborate on innovative methodologies and software solutions.

About the Role

We are looking for a motivated Data Scientist who can combine data science, software engineering, and data engineering expertise. The ideal candidate should be interested in developing scalable machine learning models, building production-ready applications, and deploying solutions in cloud environments. A strong understanding of machine learning, software development best practices, and collaborative problem-solving is essential.

Key Responsibilities

Identify opportunities to apply artificial intelligence (AI) to existing and new projects and implement suitable solutions.
Support reproducible data science projects throughout the development lifecycle.
Deploy, monitor, and maintain data pipelines and machine learning models in production environments.
Collaborate with cross-functional teams to implement, validate, and optimize analytical methodologies.
Present research findings and explain methodologies to audiences with different levels of technical expertise.
Contribute to research on cross-platform audience measurement, including trend analysis, missing-data imputation, sampling and representation, bias reduction, indirect estimation, data integration, and automation.
Explore and prepare datasets by identifying relevant variables, cleaning data, applying dimensionality reduction techniques, calculating distances, and integrating survey data.
Evaluate analytical outputs to verify accuracy, reliability, and quality.
Investigate production issues, resolve quality-related defects, and maintain reliable code.
Document analytical methodologies, workflows, and code for reproducibility and future maintenance.

Required Qualifications and Skills

0–3 years of relevant work experience.
Proficiency in Python, Spark, SQL, artificial intelligence, and machine learning.
A degree in Data Science, Statistics, Engineering, Applied Mathematics, Operations Research, Information Science, or a related biological or physical science discipline.
Strong understanding of statistical methods and machine learning concepts.
Ability to process, analyze, interpret, and draw insights from large datasets.
Good coding practices and proficiency in code documentation.
Familiarity with Git and version control platforms such as GitLab.
Experience with collaboration tools such as Jira and Confluence.
Basic knowledge of cloud computing platforms, preferably AWS or Google Cloud.
Familiarity with dashboarding and data visualization tools such as Spotfire or Tableau.

Disclaimer: This job posting has been compiled from an external source. Role details, content, and availability may change. Applicants are advised to verify the latest information directly on the official company website before applying.

Role: Full Stack Data Scientist

Industry Type: IT Services & Consulting

Department: Data Science & Analytics

Employment Type: Full-Time, Permanent

Role Category: Data Science & Machine Learning

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