Senior Data Scientist

Job Description

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.​​​​​

Qualifications

• 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.

Additional Information

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,
• Supportive, innovation-driven work environment focused on continuous learning and growth.