Associate Data Scientist ((statistics, machine learning, python)) at NielsenIQ

Pune, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

17 Apr, 26

Salary

0.0

Posted On

17 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Statistics, Machine Learning, Python, SQL, Data Analytics, Statistical Modeling, Cloud Computing, Agile, Problem Solving, Communication, Collaboration, DataBricks, PySpark, Distributed Computing, Research

Industry

Software Development

Description

Job Description NielsenIQ Advanced Analytics team develops and promotes a portfolio of global products. Leveraging NielsenIQ’s unparalleled data and global platforms, the Advanced Analytics team creates solutions to enable our clients to make better business decisions every day. We partner with Product Owners and Core Technology Teams to build scalable, always on, analytic products using relevant modeling/ML techniques. We’re looking for a passionate and talented Associate Data Scientist to join our growing team. In this role, you’ll have the chance to roll up your sleeves and apply data science methods and analytics to sustain NielsenIQ Analytics growth. Successful candidates are intellectually curious builders and active learners who are biased toward action and new problem solving. Roles & Responsibilities : Understand business issues, stakeholder requirement and expectations Perform relevant modeling analysis and POC exploring multiple techniques Ensure Analytics model quality Document and present findings and recommendations on methodology in a structured way to various stakeholder or partnering teams (Engineering, Tech, Product leader…). Work closely with the Engineering and Tech team to convert those POC into fully scalable products. Active and effective collaboration with other project team members (other Data Scientist, Data Steward, Technology Engineer…) Stay abreast of developments in the area to ensure bringing the most appropriate solutions to our business Qualifications About You You’ve built a decent track record in research and data analytics. And you have the communication chops to translate it all into conversations. While you’ve worked with global cross-functional teams, you can also put your head down and focus on independent projects. Seeing the big picture takes attention to detail. Keeping up with the fast-changing world of technology takes someone who recognizes that. You know what’s happening in big data and you’re ready to influence what’s next. Qualifications Masters degree in Data Science, Statistics, Mathematics, or a closely related field 1-4 years of experience in Data Science in the business environment Strong theoretical knowledge of statistical modelling and foundational mathematical concepts. Ability to develop advanced statistical models, machine learning algorithms and computational algorithms and apply to it is the business domain Experience in working on distributed or cloud computing platforms such as Google Cloud or Microsoft Azure Proficiency in Data Science coding languages like Python, PySpark and SQL in a cloud-based environment like DataBricks Proficiency in SQL working with large datasets Experience using collaborative development tools (git…). Experience working with Agile methodologies (SCRUM) Strong problem solving and excellent communication skills, independent working style Additional Information 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. 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 Career Site Team: Technology

Responsibilities

The Associate Data Scientist will understand business issues and perform modeling analysis while ensuring the quality of analytics models. They will document and present findings to stakeholders and collaborate with engineering teams to convert proofs of concept into scalable products.