Sr. Manager - Data Science at NielsenIQ

Pune, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

28 May, 26

Salary

0.0

Posted On

27 Feb, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Deep Learning, TensorFlow, PyTorch, Data Visualization, Tableau, Power BI, Matplotlib, SQL, NoSQL, MongoDB, AWS, Azure, Google Cloud, Python, Spark

Industry

Software Development

Description

Job Description Sr. Manager - Data Science Tower B, Temenos Business Park, Vadodara, Gujarat, India Full-time Career Site Team: Data Science & Business Intelligence Job Description Job Purpose: As a Lead Data Scientist within the Data Science Methods team in the NIQ Product organization, you will drive definition and support of new products and methods development, and improvement initiatives. This position focuses on innovation in data processing methods for retail measurement and automation of existing statistical procedures. Job Responsibilities: Define, plan and execute analyses regarding innovation initiatives, methodology development, standards, and KPIs development and implementation. Prototype solutions and support pilot programs for R&D purposes, including trend analyses, representation/sampling, bias reduction, indirect estimation, data integration, automation, and generalization. Test-driven development of scalable data processing applications. Deliver high quality documentation of new methodologies and best practices. Collaborate with experienced Developers, Data Scientists, and Technology engineers. Support various Operations team as main users of our solutions. Engage with stakeholders on scope, execution, data exchange, and outcomes for assigned projects. Participate in multiple projects simultaneously. Machine Learning & Artificial Intelligence Machine Learning: Knowledge of various algorithms and their appropriate application for prediction and classification. Deep Learning: Understanding of neural networks and deep learning frameworks like TensorFlow and PyTorch. Data Visualization & Presentation Data Visualization: The ability to create clear and compelling charts and graphs using tools like Tableau, Power BI, or Matplotlib to communicate findings to stakeholders. Databases & Cloud Database Management: Proficiency with both SQL and NoSQL databases (like MongoDB) for data storage and retrieval. Cloud Computing: Experience with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Qualifications Requirements: Essential: PhD degree in Statistics, with outstanding analytical expertise and strong technical skills. Extensive experience in trend analyses, multivariate statistics (parametric/non-parametric), sampling, bias reduction, indirect estimation, data aggregation techniques, automation, and generalization. High proficiency in Python programming language including data analysis and statistical packages (Pandas, NumPy, Scikit-Learn). Good familiarity with Python standard library, especially unittest and argparse modules. Experience with Spark or other big data processing solutions. Experience in machine learning. Experience with cloud computing and storage (MS Azure preferred). Experience with Docker and Linux command line. Ability to quickly manipulate, analyze, and interpret large data sources. Strong communication/writing skills with good English (working in a remote team with a global footprint). Preferred: Experience in NIQ methodologies, data collection, platforms, research processes, and operations. Additional Information 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

Responsibilities

The Lead Data Scientist will drive the definition and support of new product and methods development, focusing on innovation in data processing methods for retail measurement and automation of statistical procedures. Responsibilities include prototyping solutions, developing scalable data processing applications via test-driven development, and delivering high-quality documentation of new methodologies.