Senior Data Scientist

Unity Unity · Enterprise · Tel Aviv, Israel · Data & Analytics

Senior Data Scientist at Unity's Aura platform, focusing on leading research, design, and end-to-end development of large-scale machine learning systems, particularly recommendation systems. The role involves building and deploying scalable online models, driving projects from business questions to production, and collaborating across teams. Requires strong software engineering, deep learning, and big data experience, with a preference for LLM/agentic framework and observability experience.

What you'd actually do

  1. Design and deploy advanced ML solutions by leveraging our vast, large-scale datasets.
  2. Develop online, scalable models and tools using machine learning, deep learning, NLP, and modern LLM frameworks.
  3. Drive projects through their entire lifecycle—from translating complex business questions into technical strategies, all the way to robust production deployment.
  4. Champion high engineering standards by building, monitoring, and optimizing resilient production workflows.
  5. Work closely alongside data scientists, ML engineers, product managers, analysts, and developers to solve complex, multi-faceted problems.

Skills

Required

  • Machine learning
  • Statistics
  • Software engineering
  • Deep learning frameworks (PyTorch, TensorFlow, Keras)
  • Deploying, maintaining, and scaling models in production
  • Translating business questions into technical strategies
  • Big data frameworks (Spark, Ray, Dask, Airflow)
  • Applied recommendation systems
  • Modern AI coding tools and practices

Nice to have

  • LLM & Agentic Frameworks (LangChain, LangGraph)
  • AI Observability, evaluation, and tracing frameworks (Langfuse)
  • MLOps tools (MLflow, Kubeflow, Weights & Biases, SageMaker)
  • Feature stores (Feast, Tecton)

What the JD emphasized

  • 4+ years of proven experience
  • High-level software engineering expertise
  • Proven experience building and optimizing applied recommendation systems

Other signals

  • deploy advanced ML solutions
  • develop online, scalable models
  • robust production deployment
  • optimize resilient production workflows
  • building and optimizing applied recommendation systems