Staff Data Scientist (Growth & ML), Hyderabad

Global Sports Jobs Limited; Phoenix (AZ); Presencial; USD 31.000 - 63.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Growth opportunities

Mentorship

Descripción de la vacante

Global Sports Jobs Limited seeks a Staff Data Scientist (Growth & ML) to design and deploy end-to-end machine learning systems advancing customer growth for Max, the Warner Bros. Discovery streaming app.

You’ll mentor engineers, coordinate across teams, and drive data products that improve retention and lifetime value. You will apply advanced ML methods, publish insights, and promote AI tooling best practices while guiding business impact through scalable solutions and strong communication with

Formación

• MS or BS in Computer Science, Statistics, Data Science, Quantitative, or related field.
• 9+ years of experience building products with Machine Learning and Personalization.
• Deep understanding of statistics and ML fundamentals.
• Proficiency with ML frameworks such as TensorFlow, PyTorch, XGBoost, Scikit-learn.
• Production experience implementing, maintaining, and improving ML pipelines in Python, Java, or Scala.

Responsabilidades

• Research, design, and build end-to-end ML systems for customer growth.
• Contribute to scalable ML solutions in production.
• Mentor junior ML engineers and coordinate cross-functional work.
• Promote best practices in data science, engineering, and communication.

Conocimientos

Machine Learning

Personalization

Statistics

TensorFlow

PyTorch

Scikit-learn

Python

Leadership

Communication

Educación

BS/MS in CS/Statistics/Data Science

Herramientas

XGBoost

Keras

Java

Scala

Descripción del empleo

About the Role

The Staff Data Scientist (Growth & ML) will research, design, and build machine learning systems to drive customer growth for Max, the Warner Bros. Discovery streaming app. The role sits within the Growth Engineering team, which includes ML engineers, data scientists, and software engineers, and aims to boost engagement and grow active subscribers. The team works across customer interactions to develop data products that enhance customer experience and optimise for retention and lifetime value.

Key Responsibilities

• Research, design, experiment with, and build high-impact end-to-end machine learning systems for customer growth
• Contribute to and drive the design of scalable ML solutions in production
• Coordinate the work of applied scientists and machine learning engineers, providing research guidance and mentorship
• Promote and role-model best practices of data science, engineering, and communication throughout the organisation
• Mentor and provide technical guidance to junior Machine Learning Engineers in the team
• Navigate existing ML research and apply it to solve industry problems
• Contribute back to the research community by writing or publishing blogs, articles, or papers in respected scientific conferences
• Standardize and promote best practices for using AI-assisted tools to improve team-level productivity and code quality

Required Experience & Qualifications

• M.S. or B.S. in Computer Science, Statistics, Data Science, Quantitative, or a related field
• 9+ years of experience building products with Machine Learning and Personalization
• Deep understanding of statistics and ML fundamentals
• Expert proficiency with ML frameworks such as TensorFlow, PyTorch, XGBoost, Scikit-learn, etc.
• Production experience implementing, maintaining, and improving machine learning pipelines and models at scale in Python, Java, Scala, or similar languages
• Deep knowledge in multiple ML methodologies, such as Recommendations & Search, Causal Machine Learning, Interpretable ML, Multi-Armed Bandits, Reinforcement Learning, and Constrained Optimization
• Proven leadership skills, such as aligning complex technical decisions across teams, mentoring, coordinating cross-functional relationships with non-technical stakeholders, managing expectations, and navigating competing priorities
• Excellent written and verbal communication skills, with the ability to effectively advocate technical solutions to scientists, engineers, and product audiences
• Self-motivated, growth-oriented, and driven to pursue excellence across teams

Workplace

• Hyderabad

Benefits & Perks

• A great place to work
• Fast track growth opportunities

About the Company

It combines Warner Media's premium entertainment, sports, and news assets with Discovery's leading non-fiction and international entertainment and sports businesses.