Data Science Manager at NielsenIQ

Pune, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

12 Jan, 26

Salary

0.0

Posted On

14 Oct, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Machine Learning, Statistical Modeling, Python, R, Cloud Services, Team Leadership, Communication, Problem Solving, Software Development, Optimization Techniques, Analytical Programming, CI/CD, Version Control, Business Understanding, Cross-functional Collaboration

Industry

Software Development

Description

Company Description The #NielsenIQ technology teams are working on building a unified, global, open data ecosystem powered by Microsoft Azure. Our clients around the world rely on #NielsenIQ data and insights to innovate and grow. We are looking for an experienced Microsoft.Net expert to be part of our Technology hub in India to build, maintain and transform our factory systems, which are critical to the business 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. We are looking for a passionate and talented Data Science Manager to join our growing team. In this role, you will have the chance to roll up your sleeves and apply data science methods and analytics to sustain our growth. Successful candidates are intellectually curious builders and active learners who are biased toward action and new problem solving. As a Data Science Manager you will have following key accountabilities: Team Leadership: Build and lead a high-performing team of 6-8 Data Scientists and Machine Learning Engineers in our Pune hub. Foster a collaborative and inclusive team culture that encourages innovation and continuous learning. Business Understanding: Utilize your solid business understanding to align with stakeholders, discuss requirements and feasibility, and manage expectations effectively. Ensure clear communication and understanding of project goals and outcomes. Technical Communication: Explain Data Science principles, concepts, algorithms, and approaches in simple terms to diverse audiences, including non-technical stakeholders. Active Contribution: Drive ML/AI solutions throughout the full life cycle, from brainstorming and conceptual design to implementation, productization, and maintenance. Ensure timely delivery and high-quality outcomes. Innovation and Improvement: Continuously improve methods and tools. Foster knowledge exchange within the team and the broader organization. Represent our Data Science expertise at conferences, workshops, and industry events. Cross-functional Collaboration: Collaborate with teams across Tech, Operations, Commercial, and Product to understand domain-specific requirements and deliver impactful data-driven solutions. Qualifications ow you know what a Data Scientist does. What skills, qualifications & experience do you need for this job? Qualifications Key Qualifications Educational Background: PhD or Master’s degree in Computer Science, Engineering, Statistics, Mathematics, or a related field, with 8+ years of experience as a Data Scientist. Leadership Experience: Proven experience as a people manager and/or mentor, with a track record of developing and leading high-performing teams. Communication Skills: Ability to effectively communicate complex methodologies and technologies to both technical and non-technical audiences. Strong problem-solving skills and an independent working style. Technical Expertise: Strong statistical and machine learning modeling skills, including statistical tests, classification, predictive modeling, handling of missing data, and sampling/weighting techniques. Solid in analytical programming languages such as Python or R, along with their respective ecosystems. Hands-on experience implementing these models in production systems. Proficient in software development skills, including unit testing, CI/CD, and version control with Git, along with familiarity with computer science and engineering fundamentals such as data structures, software design principles, and testing strategies. Preferred qualifications Experience in the Media industry Experience working with cloud-based data services (AWS, Azure, or GCP) Experience with Optimization techniques such as: linear programming, integer programming, genetic algorithms, constrained optimization is a plus Additional Information Enjoy a flexible and rewarding work environment with peer-to-peer recognition platforms. Recharge and revitalize with help of wellness plans made for you and your family. Plan your future with financial wellness tools. Stay relevant and upskill yourself with career development opportunities 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 Science Manager, you will lead a team of Data Scientists and Machine Learning Engineers, driving ML/AI solutions from conceptual design to implementation. You will also collaborate with various teams to deliver impactful data-driven solutions.