Senior Staff, Data Science – Applied AI
Warner Bros. Discovery
full-time
Posted on:
Location Type: Hybrid
Location: Hyderabad • India
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Job Level
About the role
- Lead the full lifecycle of AI/ML project delivery: from problem formulation and hypothesis generation to data acquisition, feature engineering, model development, deployment, and continuous optimization.
- Design and review advanced statistical models, machine learning algorithms, and deep learning architectures for tasks such as customer segmentation, forecasting, personalization, natural language processing, image/video analysis, and generative content creation.
- Ensure solutions are built for scale, performance, and robustness using modern engineering and MLOps practices—e.g., CI/CD pipelines for models, monitoring dashboards, automated retraining loops.
- Manage, mentor, and grow a high-performing team of data scientists and ML engineers by defining clear roles, growth paths, and technical competencies.
- Act as a bridge between business challenges and AI solutions by deeply understanding domain pain points and framing them into solvable data science problems.
- Ensure that models are not just proof-of-concepts but are integrated into production systems with real-time or batch inference pipelines.
- Partner with Legal, Compliance, and Risk functions to implement guardrails for ethical AI use.
Requirements
- Master’s degree (or higher) in Computer Science, Data Science, AI/ML, Statistics, or a related field.
- 12–14 years of overall experience in AI/ML or data science, including 7–9 years in managerial or tech-lead roles.
- Demonstrated experience in developing and deploying machine learning models in production environments.
- Proficiency in Python and frameworks like scikit-learn, TensorFlow, PyTorch, or similar.
- Strong knowledge of cloud platforms (preferably AWS or GCP) and containerization tools (Docker, Kubernetes).
- Experience in working with structured and unstructured data, including video, image, and text.
- Solid understanding of data engineering concepts and collaboration with DevOps and engineering teams.
- Excellent communication and stakeholder engagement skills.
- Prior exposure to Media & Entertainment use cases is a plus
Benefits
- Thoughtfully curated benefits
- Tools to explore and grow into your best selves
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AI/ML project deliverystatistical modelsmachine learning algorithmsdeep learning architecturesfeature engineeringmodel developmentdata acquisitioncontinuous optimizationproduction systemsreal-time inference
Soft Skills
team managementmentoringcommunicationstakeholder engagementproblem formulationhypothesis generationcollaborationunderstanding domain pain pointsdefining growth pathstechnical competencies
Certifications
Master’s degreePhD in Computer SciencePhD in Data SciencePhD in AI/MLPhD in Statistics