Senior Data Scientist at NielsenIQ

Pune City, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

05 Aug, 26

Salary

0.0

Posted On

07 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Statistical Modeling, Machine Learning, Python, R, Predictive Modelling, Classification, Sampling, Weighting, AWS, CI/CD, Git, SQL, Unit Testing, Data Science, Communication, Productization

Industry

Software Development

Description

Job Description Our Media Measurement team uses state-of-the-art technologies and rigorous methods to track who is watching what, where, and how they engage with content. Our clients can evaluate who is consuming which content across different media, platforms and devices, and know what the audience thinks about that content. As people consume media content on more channels, and through more devices, than ever before, we are proud to provide a full view on media consumption. As Data Scientist you will have following main accountabilities: You own together with your team several of our Data Science solutions throughout the full life cycle (brainstorming, design, implementation, productization and maintenance) You develop solutions based on data science, stats and machine learning models You improve methods and tools. Contribute to our communities of practice in the area of Data Science Communicate with non-data scientists in Tech, Operations, Commercial, Product. Understand the domain and the requirements. Explain Data Science principles, concepts, algorithms, and approaches in simple words to different types of audiences Make data your best friends. Understand their strengths and use them. Be aware of their weaknesses and handle those in your solutions Screen the market for potential new Data Science approaches Foster knowledge exchange within the company. Present GfK's Data Science expertise at conferences and workshops Qualifications Now you know what a Data Scientist does. What skills, qualifications & experience do you need for this job? You typically have a Master's degree or PhD that reflects modeling and statistics skills and 6+ years of experience. You enjoy communicating complex methodology and technology to tech and non tech audiences You have expert statistical / machine learning modeling skills (e.g. statistical tests, classification, predictive modelling, handling of missing data, sampling, weighting) You have experience with an analytical programming language (Python, R) and the respective ecosystem Besides the things we really expect you to have, there are some things which would be amazing if you have experience with them: Knowledge of cloud computing environments and tooling (especially AWS) Advanced software development skills (unit testing, CI/CD, Git) Basic skills regarding database handling as SQL Basic knowledge of the always evolving Data Science ecosystem and its frameworks Additional Information A meaningful project, where you learn every day and show the team what you've got. The possibility to be part of a talented team, working with experienced individuals. A nice place to work, where we foster training, and personal development. Flex Office: a mix of remote and in-office work to boost our productivity and promote a healthy work-life balance Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://www.nielseniq.com/global/en/ai-safety-policies. About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion Career Site Team: Technology

Responsibilities

Own and develop data science solutions throughout the full lifecycle, from design to maintenance, using machine learning and statistical models. Communicate complex technical concepts to non-technical stakeholders and contribute to the company's data science community of practice.