Senior Data Scientist at NielsenIQ

Pune City, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

07 Jul, 26

Salary

0.0

Posted On

08 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Statistical modeling, Machine learning, Artificial intelligence, Python, R, SQL, AWS, GCP, Azure, Databricks, Jupyter, Airflow, Spark, Econometrics, Natural language processing, Computer vision

Industry

Software Development

Description

Job Description As a Senior Data Scientist, Incubation Lab, you will be focused on designing, developing & scaling cutting-edge marketing analytics solutions to strategic client business problems. You will be joining an innovation & client first culture, where creative thinking and entrepreneurial spirit are championed, fostered, and harnessed into the next-gen features of our evolving marketing analytics platform. You will be responsible for designing and building high-performance models & ML/AI algorithms and ensuring the accuracy & reliability of our platform's insights Key Responsibilities: Design and develop advanced analytic solutions to cutting-edge client business problems in the world of marketing analytics, leveraging techniques across applied statistics, econometrics, machine learning, natural language processing, computer vision, and other AI disciplines Deliver actionable insights & consultation to external clients leveraging developed solutions, models, & algorithms Collaborate with software engineering stakeholders to integrate and/or deploy solutions into our marketing analytics platform, ensuring seamless performance and continued innovation-to-product pipeline Continuously evaluate and refine models & algorithms to improve accuracy and efficiency Serve as a primary L2 support resource for escalated issues, bugs, & blockers with deployed models & algorithms Stay up to date with the latest advancements in marketing science, machine learning, and AI, and work with the Incubation LabeLead to identify opportunities to apply them to our platform Foster a culture of innovation and experimentation within the team by serving as a mentor & talent multiplier to peers and juniors on the team Qualifications: 6+ years of relevant experience in a data or decision science field Master’s degree or above in Statistics, Mathematics, Econometrics, Computer Science, or a related Data Science field Strong theoretical and practical knowledge of statistical modeling, in both Frequentist and Bayesian frameworks Strong theoretical and practical knowledge of ML/AI algorithms Proficiency in programming languages such as Python, R, and SQL Experience in working within cloud stacks and with cloud toolkits, namely: AWS, GCP, Azure, Databricks, Jupyter, Airflow, Spark Familiarity with product development tools & apps, namely: Jira, Confluence, Git Desired Skillsets: Previous experience in the marketing or advertising industry is a plus Excellent problem-solving and analytical skills Demonstrated leadership and communication skills Strong sense of urgency and accountability to drive client outcomes Able to work collaboratively with internal & external teams Capable of maintaining positive client relationships in complex situations & resolving client issues Strong logic, deductive reasoning, problem-solving, and critical thinking skills Strong project management skills and ability to manage multiple priorities If you're passionate about the next gen of marketing science and want to make a significant impact on the future of the marketing analytics industry, we encourage you to apply! 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

Design and develop advanced analytic solutions and machine learning algorithms to address complex marketing analytics business problems. Collaborate with software engineering teams to integrate these models into the platform while providing actionable insights to external clients.