Director, MTS
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About the Role
At Nielsen, we are passionate about our work to power a better media future for all people by
providing powerful insights that drive client decisions and deliver extraordinary results. Our talented,
global workforce is dedicated to capturing audience engagement with content - wherever and
whenever it’s consumed. Together, we are proudly rooted in our deep legacy as we stand at the
forefront of the media revolution. When you join Nielsen, you will join a dynamic team committed to
excellence, perseverance, and the ambition to make an impact together. We champion you,
because when you succeed, we do too. We enable your best to power our future.
Job Description
Job Summary
The Director of AI & Data Science Gracenote India will be central to the success of the data
science teams across geographies. This role is fundamental to the growth and success of
Gracenote AI & Data Science organization as a whole. Key goals of this role are to establish the
technical rigor, culture and operating rhythm of the organization, delivering the business outcomes
for Gracenote and working with local and global stakeholders to collaborate on key outcomes and
deliverables. This role will involve leading initiatives in AI, core data science, NLP, computer vision
and MLOps.
Responsibilities
Manage multiple teams of Gracenote data science and analytics engineers, with direct and
- Work with local and global management across all relevant org partners to ensure success
- Create a culture based on Nielsen values, fostering a culture of collaboration, innovation, and
- Establish operating rhythm and cadence within areas of responsibility to ensure transparent
environment for associates.
- Track KPIs including productivity and employee retention.
- Coordinate and maintain a talent pipeline, including connections with Universities and
- Continuously assess and improve business processes.
- Apply an automation mindset to automate processes for recurring analyses and simulations,
- Oversee the deployment and maintenance of machine learning models, AI & LLM based
- Establish and enforce rigorous quality assurance processes to maintain the integrity and
- Ensure adherence to tools of the Product Development Lifecycle.
- Drive research initiatives to improve existing methodologies for statistical sampling and
- Oversee evolution of analytics to incorporate more predictive and prescriptive analytics into
- Identify and implement market research methodologies appropriate for the media
- Represent Global Data Solutions Data Science and Analytics team in cross-functional (e.g.,
- Stay abreast of emerging trends, technologies, and best practices in data science, market
forums.
- Lead initiatives in core data science, including statistical modeling, machine learning, data
- Develop and implement NLP solutions for text analysis, sentiment analysis, topic modeling,
- Lead computer vision projects, including image/video analysis, object detection, image
- Utilize GenAI tools for workflow creation, including building and deploying Agentic RAG
Qualifications
Bachelor’s/Master’s degree or PhD. (preferred) in a quantitative research field, such as
- 10+ years of experience working with Data Science, AI, deep learning and statistics.
- Proven track record in team building.
- 8-10 years of experience with statistical coding languages such as Python, Spark, SAS, R,
- 3-5 years of experience working in a cloud-based environment, ideally AWS.
- Good understanding of business tools such as JIRA, Airflow, Confluence, Smartsheets,
- Excellent statistical and analytical skills.
- Experience in data integrations (e.g., developing data pipelines, analytics workflows,
- 3-5 years experience with low-code/no-code tools (e.g., Alteryx).
- 3-5 years experience in visualization tools e.g., Tableau, PowerBI, Looker, Spotfire,
- Excellent communication (verbal and written) and presentation skills in English.
- Excellent critical thinking and problem-solving skills.
- Sense of curiosity, skepticism, and attention to detail.
- Knowledge of market research methodologies, media consumption trends, and media
- Strong foundation in core data science principles, including statistical modeling, machine
- Experience with NLP libraries and frameworks (e.g., NLTK, SpaCy, Hugging Face
- Experience with computer vision libraries and frameworks (e.g., OpenCV, TensorFlow,
- Hands-on experience with GenAI tools and techniques, including RAG, SLMs, prompt
- Familiarity with deploying and managing machine learning and GenAI models in production
Additional Information
Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen.com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @nielsen.com address. If you're unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.
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