Data Scientist

Technologies we use

About the project

Your responsibilities

Our requirements

• minimum 5 years of experience in Data Science or related roles
• strong proficiency in Python
• experience with data analysis and data manipulation (e.g. Pandas, NumPy)
• experience with machine learning frameworks (e.g. scikit-learn, TensorFlow, PyTorch)
• experience in building and evaluating ML models
• experience working with databases (e.g. PostgreSQL, BigQuery, Snowflake)
• understanding of statistics and data modeling
• experience in data visualization (e.g. Matplotlib, Seaborn, Plotly)
• ability to translate business problems into data solutions
• high level of independence and analytical thinking
• good communication skills and team orientation
• English at B2 level

Optional

• experience with MLOps tools and practices
• experience with cloud platforms (e.g. AWS, Azure, GCP)
• familiarity with data pipelines and ETL processes
• experience with big data tools (e.g. Spark, Hadoop)
• knowledge of NLP, computer vision, or recommendation systems
• basic knowledge of software engineering practices

This is how we organize our work

Team size

This is how we work

Team members

This is how we work on a project

Development opportunities we offer

What we offer

• contract: B2B, long-term cooperation
• work model: 100% remote or hybrid
• team: experienced, cross-functional teams
• projects: data-driven products, machine learning solutions, and analytics systems

Benefits

🗂️ Note