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Machine Learning Researcher

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Nielsen

24d ago

  • Job
    Full-time
    Mid & Senior Level
  • Bangalore
  • Quick Apply

AI generated summary

  • You should have a degree in a quantitative field, 3-5 years of coding experience, proficiency in Java, Python, SQL, AWS, strong communication skills, and excellent machine learning and debugging abilities.
  • You will manage data science projects, deploy and maintain models, collaborate with teams, ensure methodologies work, troubleshoot issues, provide mentorship, and uphold coding standards.

Requirements

  • - Bachelor’s or Master’s (preferred) degree in a quantitative research field, such as computer science, data science, statistics, mathematics, biological/physical sciences, etc.
  • - 3-5 years code development/research experience in a business setting.
  • - Strong proficiency with Java, Python, Spark, SQL, Unix, git, and AWS (S3 and EC2).
  • - Excellent verbal and written communication skills.
  • - Excellent software engineering fundamentals.
  • - Excellent debugging skills.
  • - Excellent machine learning fundamentals.
  • - Outstanding statistical and analytical skills.
  • - Collaborative code development experience, including version control, unit/integration testing, code review and sharing.
  • - Curiosity and skepticism.

Responsibilities

  • Own reproducible data science projects end-to-end.
  • Deploy and maintain data pipelines and models in a production environment.
  • Work with cross-functional teams to productionize, validate, and optimize methodologies.
  • Conduct research and analytics to ensure methodologies are fit for purpose and working as intended; troubleshoot, diagnose, and resolve when they are not.
  • Provide technical mentorship.
  • Communicate research findings to varying audiences.
  • Develop, implement and maintain good programming standards and practices across our data science and analytics codebases.
  • Champion and govern best practices for data use and software development.
  • Use git and cloud development tools extensively to iterate and improve data science workstreams.

FAQs

What is the primary focus of the Machine Learning Researcher position at Nielsen?

The primary focus of the position is to develop new methodologies to measure audiences across various platforms and integrate new data assets into Nielsen's existing methodologies for enhanced audience measurement.

What qualifications are required for this role?

A Bachelor's or Master's degree in a quantitative research field, such as computer science, data science, statistics, or mathematics is preferred, along with 3-5 years of code development/research experience in a business setting.

Which programming languages and tools are important for the role?

Strong proficiency with Java, Python, Spark, SQL, Unix, git, and AWS (S3 and EC2) is required.

Will there be opportunities for collaboration with other teams?

Yes, the role involves working closely with cross-functional teams to productionize, validate, and optimize methodologies.

What are some responsibilities associated with this position?

Responsibilities include owning reproducible data science projects end-to-end, deploying and maintaining data pipelines, conducting research and analytics, providing technical mentorship, and adhering to programming standards and practices.

Is prior experience in machine learning important for this role?

Yes, excellent machine learning fundamentals are crucial for successfully performing the duties associated with this position.

How does Nielsen support personal growth and skill development?

Nielsen encourages career growth by enabling associates to explore fresh approaches and initiatives, ensuring continuous improvement and enabling the development of data science skills through all aspects of the data science workflow and data product lifecycle.

What type of company culture can a candidate expect at Nielsen?

Nielsen fosters a community-oriented culture where associates are championed in their success, emphasizing partnership and collaboration in career growth.

Will there be opportunities to work on innovative products?

Yes, the position provides opportunities to contribute to methodological innovation in the fast-changing world of media measurement.

How important are communication skills for this role?

Excellent verbal and written communication skills are essential for effectively communicating research findings to various audiences.

Nielsen

Powering a better media future for all people

Entertainment & Media
Industry
10,001+
Employees

Mission & Purpose

Nielsen is a global measurement and data analytics company that provides insights and intelligence to businesses in various industries. They specialise in collecting and analysing data related to consumer behaviour, media consumption, and market trends. Nielsen's ultimate mission is to provide clients with a comprehensive understanding of consumer preferences and market dynamics to drive informed decision-making. Their purpose is to help businesses navigate the rapidly changing marketplace by offering data-driven insights that optimise marketing strategies, improve product development, and drive business growth. Nielsen aims to be a trusted source of accurate and actionable data, empowering their clients to adapt to market shifts, identify growth opportunities, and build strong connections with their target audience. By leveraging their expertise in data analytics, Nielsen supports businesses in making data-backed decisions that lead to competitive advantage and sustainable success.

Culture & Values

  • Diversity, equity & inclusion

    Celebrating every voice to drive growth.

  • Responsibility & sustainability

    Making a positive impact where we live and serve.

  • Privacy

    Committing to transparency and user choice.

  • Innovation

    Investing in businesses that move the media forward.

  • Public policy

    Improving citizenship through positive engagement.