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Senior Data Scientist (PL)

Posted Updated
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We’re looking for an experienced Data Scientist who will also act as a Technical Lead.
We need someone who not only masters Data Science techniques but can also lead projects end-to-end – from initial client discussions and solution design to production deployment of ML models.

You will be responsible for:

  • Designing and implementing CV/ML/AI models (predictive, classification, LLM, recommendation systems, etc.),
  • Selecting and optimizing algorithms (regression, tree-based models, neural networks, etc.),
  • Integrating models into production environments,
  • Performing data cleaning, feature engineering, and model validation,
  • Identifying tools and specifying processes
  • Mentoring junior team members and contributing to solution architecture,
  • Preparing and presenting analytical results to business and technical stakeholders.​​​​​

  • 6–8+ years of professional experience in data analysis, statistical modeling, computer vision or machine learning, including at least 4 years as a Data Scientist,
  • Hands-on experience deploying ML models to production, not just research-level familiarity,
  • Strong proficiency in Python (NumPy, pandas, scikit-learn, matplotlib, pytorch),
  • Understanding of Windows or Linux software development platforms
  • Excellent command of English – both written and spoken (international client communication, presentations),
  • Expertise in at least one of the following domains:

- Computer Vision,
- Large Language Models (LLMs),
- Time Series Analysis,

  • Experience with TensorFlow, PyTorch, XGBoost, LightGBM,
  • Proficiency with Git, Linux, Docker, MLflow, Airflow, AWS/GCP/Azure,
  • Solid SQL and data visualization skills.

Nice to have:

  • Proven experience leading projects and managing teams,
  • Experience in presales, client workshops, or building Proof-of-Concepts (PoCs),
  • Familiarity with Hadoop, Spark,
  • Research or R&D background.

Soft Skills

  • Ability to structure projects teams, make technical decisions, and own outcomes,
  • Ability to manage multiple projects at the same time
  • Proactive and self-driven approach, with strong organizational skills,
  • Excellent presentation and communication skills,
  • Business-oriented mindset – ability to translate insights into actionable recommendations,
  • Mentoring attitude and willingness to support team growth.

What We Offer

  • Opportunity to work on cutting-edge AI and ML projects,
  • Collaboration with international clients (US and Europe),
  • Hybrid working model – 3 days per week in the office, with the option to work remotely on the remaining days,
  • Choice of employment type
  • Supportive, innovation-driven work environment focused on continuous learning and growth.

Skills

See also

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