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.
ow you know what a Data Scientist does. What skills, qualifications & experience do you need for this job?
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
Benefits:
Meaningful projects, where you learn every day and show what you've got
The possibility to be part of a talented team, working with experienced individuals
A nice place to work, where we foster training, and personal development
Flex Office: a mix of remote and in-office work to boost our productivity and promote a healthy work-life balance
#LI-Hybrid
Can there be a better place to take center stage in the digital revolution? We are excited to getting to know you!
Our Benefits
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
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Our commitment to Diversity, Equity, and Inclusion
NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion