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Senior Data Scientist
В офисеПолная занятостьData ScienceGame DevelopmentEnterprise Software
Join an AI team developing scalable machine learning systems from research and experimentation through production deployment. The role focuses on deep learning, NLP, recommendation systems, large-scale data, and robust ML operations.
Обязанности
- Design and deploy advanced machine learning solutions using large-scale datasets
- Develop scalable online models and tools using machine learning, deep learning, NLP, and LLM frameworks
- Lead projects from business problem definition through technical strategy, experimentation, and production deployment
- Build, monitor, and optimize resilient production workflows
- Collaborate with data scientists, ML engineers, product managers, analysts, and developers
- Apply rigorous experimentation and analytical methods to complex business questions
Требования
- MSc or PhD in data science, computer science, mathematics, statistics, engineering, or a related field
- At least 4 years of experience as a data scientist solving complex business problems
- Hands-on experience with deep learning frameworks such as PyTorch, TensorFlow, or Keras
- Strong software engineering experience deploying, maintaining, and scaling models in production
- Ability to translate business questions into hypotheses, design experiments, and draw rigorous conclusions
- Experience working with billions of records and big-data frameworks such as Spark, Ray, Dask, or Airflow
- Experience building and optimizing recommendation systems
- Fluency with modern AI coding tools and AI-assisted development practices
- Experience leading machine learning projects
- Professional English communication skills
- Relocation support and work visa sponsorship are not available
Будет плюсом
- Experience with LLM and agentic frameworks such as LangChain or LangGraph
- Experience with LLM observability, evaluation, and tracing tools
- Experience with MLOps platforms such as MLflow, Kubeflow, Weights & Biases, or SageMaker
- Experience with feature stores such as Feast or Tecton
Условия и преимущества
- Health, life, and disability insurance
- Commute subsidy
- Employee stock ownership
- Retirement or pension plans
- Vacation and personal days
- New-parent leave and family-care programs
- Mental health and wellbeing support
- Training and development programs
- Employee assistance program
- Volunteering and donation matching