Data Scientist

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Salary

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

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Where they hire

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About this role

Data Scientist Kuala Lumpur, 14, Malaysia Company Description: NielsenIQ is a consumer intelligence company that delivers the Full View™, the world's most complete and clear understanding of consumer buying behavior that reveals new pathways to growth. Since 1923, NIQ has moved measurement forward for industries and economies across the globe. We are putting the brightest and most dedicated minds together to accelerate progress. By embracing our diversity, we inspire each other to excel and create a lasting impact through our work and the people we collaborate with. NielsenIQ offers a range of products and services that leverage Machine Learning and Artificial Intelligence to provide insights into consumer behavior and market trends. This position opens the opportunity to apply the latest state of the art in AI/ML and data science to global and key strategic projects. Job Description: As a Senior Data Scientist, you will play a key role in developing end-to-end analytic solutions, shaping data and algorithms to deliver accurate and robust Predictive and Prescriptive Analytics. At NIQ, we're looking for someone to join our Tech & Durable Global Data Science team, working at the intersection of business, data science and engineering to transform business problems into robust, production-ready Data Science solutions. Your Mission: Build scalable, production-ready data science solutions that enable the use of or directly utilize NIQ's Tech & Durable Point-of-Sale data. Collaborate cross-functionally with product managers, engineers, designers and business stakeholders to translate complex problems into actionable insights. Contribute to the evolution of our data science ecosystem

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