North America / United States / CA / San Francisco

Data Science

#: 96995-en_US / 96995

Regular

Full-Time

Lead Data Scientist – 96995

Data Science – USA San Francisco, California 

 

Senior Data Scientist – Data Intelligence ( Remote )

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  • Location: Remote

  • Company: Nielsen

  • Data Science – USA Remote

Nielsen is the largest measurement company in the world with unique measurement technologies, assets, and data that make it one of the most interesting and challenging places for a data scientist to work. We focus on the media that consumers engage with in over 95 countries. Data Science is core to what Nielsen does, and our research projects have high visibility in directly affecting the results of our business and our clients. 

 

This Senior Data Scientist position in the Data Integrity & Intelligence team will have the opportunity to contribute to a brand-new initiative that will apply modeling, machine learning, and anomaly detection to Nielsen’s Audience Measurement solutions. This is an ideal position to grow as a machine learning engineer and researcher, developing subject-matter expertise in audience measurement. Within the Media Data Science organization, the team’s mandate is to ensure Nielsen’s broad client base have the utmost confidence in Nielsen’s published data across our television, digital, and audio products. This role will be responsible for creating new methodologies, productionalizing those methodologies, and communicating directly with senior leadership and clients. 

 

What will I do?

  • Apply machine learning, anomaly detection, and forecasting models directly to Nielsen’s big data and panel assets

  • Independently write custom Python and SQL code

  • Work directly with senior leadership to define the highest value modeling opportunities

  • Liaise directly with Nielsen’s client base to ensure that solutions are directly applicable to their business

  • Build intuitive, client-facing and internal data visualizations 

  • Key tasks include – but are not limited to – identifying modeling opportunities, producing client-facing data visualizations, and model productionalization. 

  • Work closely with a small team of dedicated data scientists to rapidly prototype modeling solutions. 

 

Is this for me?

 

  • Bachelor’s degree in degree in Statistics, Social Science, Operation Research, Mathematics, or Computer Science with outstanding analytical expertise 

  • 2 to 3 years of experience with many of the following: machine learning, anomaly detection, forecasting, python programming, data manipulation, trend or pattern recognition, or statistics 

  • Must be proficient with Python, Spark, or Scala to develop sharable software with the appropriate technical documentation

  • Must be proficient in SQL and large-scale databases.

  • Must have ability to manipulate, analyze, interpret large data sources, and tell a story from data through analyses. Experience with Tableau preferred. 

  • Must have strong verbal and written communication skills

  • Must have ability to work alone and with a team

  • Must have critical thinking skills necessary to evaluate results in order to make decisions

  • Must demonstrate intellectual curiosity and persistence to find answers

  • Demonstrate interest in Nielsen methodologies, data collection, platforms, research processes and operations

 

Skills Desired:

 

  • Experience with machine learning techniques

  • Experience working with cloud based or big data technologies (e.g. Databricks, Airflow)

  • Experience with data visualization tools (e.g. Tableau, Spotfire)

 

ABOUT NIELSEN

Nielsen Global Media fuels the media industry with unbiased, reliable data about what people watch and listen to. To discover what’s true, we measure across all channels and platforms—from podcasts to streaming TV to social media. And when companies and advertisers are armed with the truth, they have a deeper understanding of their audiences and can accelerate growth. Do you want to move the industry forward with Nielsen? Our people are the driving force. Your thoughts, ideas and expertise can propel us forward. Whether you have fresh thinking around maximizing a new technology or you see a gap in the market, we are here to listen and take action. Our team is made strong by a diversity of thoughts, experiences, skills, and backgrounds. You’ll enjoy working with smart, fun, curious colleagues, who are passionate about their work. Come be part of a team that motivates you to do your best work!

 

Nielsen is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class.

 

Job Type: Regular

Primary Location: Remote

Secondary Locations: IL – Chicago, NY – New York City, MD – Columbia,

Travel: No

 

#LI-SF1

ABOUT NIELSEN

As the arbiter of truth, Nielsen Global Media fuels the media industry with unbiased, reliable data about what people watch and listen to. To discover what’s true, we measure across all channels and platforms⁠—from podcasts to streaming TV to social media. And when companies and advertisers are armed with the truth, they have a deeper understanding of their audiences and can accelerate growth. 

Do you want to move the industry forward with Nielsen? Our people are the driving force. Your thoughts, ideas and expertise can propel us forward. Whether you have fresh thinking around maximizing a new technology or you see a gap in the market, we are here to listen and take action. Our team is made strong by a diversity of thoughts, experiences, skills, and backgrounds. You’ll enjoy working with smart, fun, curious colleagues, who are passionate about their work. Come be part of a team that motivates you to do your best work!  

Nielsen is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class.

Job Type: Regular 

Primary Location:  San Francisco,California 

Secondary Locations: Remote, , , 

Travel:  No