Senior Data Scientist

The opportunity

What Success Looks Like:

Short-term: Ship your first production model with measurable impact within 3 months.

Long-term: Own major ML initiatives end-to-end and introduce new methodologies that expand the team's capabilities.

Your Impact:

Elevate our technical bar with fresh ML perspectives. Shape our roadmap by identifying opportunities others miss. Your research skills keep us cutting-edge while your execution speed drives results.

What You'll Gain:

Work on real-time ML systems at scale with rich, diverse data

Autonomy to define problems and drive projects from idea to impact

Freedom to explore emerging techniques and expand your scope

Fast feedback loops through strong experimentation infrastructure

What you'll be doing

• Design and deploy ML systems that optimize user engagement and advertising performance - build models that operate at scale (millions of users) with real-time inference requirements
• Own end-to-end ML and GenAI projects - from identifying business opportunities and defining problems, through research and prototyping, to production deployment and impact measurement
• Explore and implement cutting-edge ML approaches - research novel architectures (transformers, neural recommender systems, transfer learning) and adapt them to solve practical business challenges
• Drive rapid experimentation and iteration - leverage A/B testing infrastructure and modern tooling to quickly validate ideas and ship improvements
• Expand the team's ML capabilities - introduce new methodologies, share knowledge, and identify innovative opportunities beyond your initial scope

What we're looking for

• Proven ability to deliver production ML models with measurable business impact - from problem definition through deployment and outcome tracking
• Strong programming skills in Python and modern ML frameworks (TensorFlow, PyTorch, scikit-learn, XGBoost) with ability to write clean, efficient code for production systems
• Self-directed research capability - demonstrated ability to independently explore unfamiliar ML domains, synthesize technical literature, and implement novel approaches
• End-to-end ML development experience - data analysis, feature engineering, model selection, experimentation (A/B testing), and performance optimization
• Structured problem-solving methodology - ability to decompose complex business problems, design solution approaches, and communicate technical findings to stakeholders

You might also have

• Positivity and enthusiasm

Additional information

• Relocation support is not available for this position
• Work visa/immigration sponsorship is not available for this position

Life at Unity

Unity [NYSE: U] is the leading platform to create and grow games and interactive experiences. Creators, ranging from game developers to artists, architects, automotive designers, infrastructure experts, filmmakers, and more, use Unity to bring their imaginations to life across multiple platforms, from mobile, PC, and console, to spatial computing.

As of the third quarter of 2024, more than 70% of the top 1,000 mobile games were made with Unity, and in 2024, Made with Unity applications had an average of 3.7 billion downloads per month. For more information, please visit Unity.

Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know.

This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.

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