Senior Data Scientist (PL)
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
- AI
- Airflow
- AWS
- Azure
- Computer Vision
- Data Science
- Data Visualization
- Docker
- Feature Engineering
- GCP
- Git
- Hadoop
- Linux
- LLM
- Machine Learning
- Matplotlib
- MLflow
- Neural Networks
- NumPy
- pandas
- Pre-sales
- Python
- PyTorch
- Recommendation Systems
- scikit-learn
- Solution Design
- Spark
- SQL
- TensorFlow
- Time Series
- XGBoost