AmbitionBox
Search
Jobs
- Reviews
- Salaries
- Interview Questions
- About Company
- Benefits
- Jobs
- Office Photos
- Community
Add office photos
All Filters
188 Nielsen Sports Jobs
Senior Data Science Engineer
Nielsen Sports
posted 1hr ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
Gracenote, a Nielsen company, is dedicated to connecting audiences to the entertainment they love, powering a better media future for all people. Gracenote is the content data business unit of Nielsen that powers innovative entertainment experiences for the world s leading media companies. Our entertainment metadata and connected IDs deliver advanced content navigation and discovery to connect consumers to the content they love and discover new ones.
Gracenote s industry-leading datasets cover TV programs, movies, sports, music and podcasts in 80 countries and 35 languages. Gracenote provides common identifiers that are universally adopted by the world s leading media companies enabling powerful cross-media entertainment experiences. Machine driven, human validated best-in-class data and images fuel new search and discovery experiences across every screen.
Gracenotes Data Organization is a dynamic and innovative group that is essential in delivering business outcomes through data, insights, predictive & prescriptive analytics. An extremely motivated team that values creativity, experimentation through continuous learning in an agile and collaborative manner. The data team oversees the whole data lifecycle - from designing, developing and maintaining data architecture that satisfies our business goals to managing data governance and region-specific regulations.
Role Overview:
As a Senior Data Science Engineer on the Gracenote Media team, you will lead the application of advanced machine learning models and big data solutions that power content understanding and generation, entity linkage, and more in order to achieve the scale that matches our customer s demands.
Key Responsibilities:
- Lead the design, development and deployment of scalable machine learning models in order to solve problems in natural language processing and/or computer vision problems within content generation and enhancement, machine translation, automated tagging, and content understanding.
- Develop and maintain large scale data architectures that support our data science capability including data pipelines that process vast amounts of video, audio, and textual metadata, centralized feature stores and ML ops pipelines.
- Work with computer vision models for video analysis, captioning, and scene recognition.
- Automate MLOps workflows for seamless deployment and monitoring of AI models.
- Implement Data Quality frameworks to ensure the model outputs and data pipelines are of highest quality.
- Mentor junior data scientists and help to develop their skills and expertise.
- Stay current with the latest in the industry and bring best practice to the organization in data science & ML engineering space.
Required Skills:
- Strong expertise in Python, SQL, and big data tools (Spark, Kafka, Flink).
- Hands-on experience with deep learning and NLP (BERT, GPT, Transformer models).
- Experience in computer vision models for media processing and content moderation.
- Experience developing & deploying both online and offline models.
- Experience in distributed computing and cloud platforms (AWS, GCP, Azure).
Qualifications:
- Bachelor s/Master s degree in Data Science, Machine Learning, or related fields.
- 5+ years of experience in data science, machine learning, or data engineering.
- Proven experience working with media datasets and AI-driven content platforms.
Employment Type: Full Time, Permanent
Read full job descriptionNielsen Sports Interview Questions & Tips
Prepare for Nielsen Sports roles with real interview advice
What people at Nielsen Sports are saying
What Nielsen Sports employees are saying about work life
based on 180 employees
Flexible timing
Monday to Friday
No travel
Day Shift
Nielsen Sports Benefits
View more benefits
Compare Nielsen Sports with
Sportz Interactive
Compare
SPORTZVILLAGE FOUNDATION
Compare
IMG Reliance
Compare
Baseline Ventures
Compare
ITW Consulting
Compare
Sporting Ethos
Compare
Carnival Cruise Lines
Compare
Royal Caribbean International
Compare
Smaaash Entertainment
Compare
ECOS (I) MOBILITY & HOSPITALITY
Compare
Stats Perform
Compare
Sv Edusports
Compare
Carnival UK
Compare
Musafir.com
Compare
NIVIA SPORTS
Compare
Adi Sports
Compare
Ebaco India
Compare
Sunrise Sports (India)
Compare
Great Rocksport
Compare
Syndicate Innovations International
Compare
Similar Jobs for you
Share an Interview