Data Scientist at NielsenIQ

Kuala Lumpur, Kuala Lumpur, Malaysia -

Full Time

Start Date

Immediate

Expiry Date

11 Mar, 26

Salary

0.0

Posted On

11 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Machine Learning, Deep Learning, Python, PyTorch, Neural Networks, Data Visualization, Cloud Computing, Agile Development, REST API, Containerization, Statistical Analysis, Large Language Models, Collaboration, Documentation, Mentorship

Industry

Software Development

Description

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 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 through innovation, mentorship, and thought leadership. Responsibilities: Perform research to drive the development of product focused Data Science solutions for our T&D business. Build, fine-tune and deploy state-of-the-art neural networks for Extreme Multilabel Classification problems. Ensure documentation, reproducibility and quality of code. Collaborate with MLEs and SREs to deploy models in live production pipeline Foster Data Science related knowledge exchange within NIQ (e.g. Lunch & Learns, Communities of Practice). Qualifications Essential Skills: Degree in computer science, data science, statistics, or a related field. 2+ year experience in a Data Science role. Strong knowledge of developing and optimizing deep learning algorithms on GPU infrastructures using the PyTorch framework. Experience with fine-tuning third-party Large Language Models sourced from e.g. HuggingFace. Proven ability to ship large-scale models to production environments. Strong Python skills and familiarity with development tools (e.g. Jupyter, PyCharm, VSCode). Ability to think creatively in addressing analytical objectives. Strong presentation and data visualization skills (e.g., ability to communicate complex insights clearly to technical and non-technical audiences). Ability to work independently and asynchronously as part of a distributed team Professional working proficiency in English Desirable Skills: Familiarity with the evolving data science ecosystem and popular machine learning frameworks beyond PyTorch (e.g. scikit, tensorflow). Experience with software engineering best practices (version control, testing, agile development, Scrum, Safe). Hands-on experience with cloud computing platforms (e.g. GCP) and productionizing machine learning models (e.g. expose as REST API, containerization, scalability, performance optimization). Additional Information Benefits: • Exciting work environment that brings people together. • Use the latest digital technologies. • Ongoing trainings to support your development. • Opportunities for personal and professional growth. • Hybrid work Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) 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

Responsibilities

As a Data Scientist, you will develop end-to-end analytic solutions and collaborate with cross-functional teams to translate complex problems into actionable insights. You will also contribute to the evolution of the data science ecosystem through innovation and mentorship.