Data Scientist

Work format: Remote
Employment type: Full-time
 

Responsibilities

• Collect, clean, and analyze structured and unstructured data.
• Build predictive and statistical models to support data-driven decision-making.
• Develop and validate machine learning models for various domains (NLP, CV, recommendation systems, etc.).
• Perform exploratory data analysis (EDA), visualization, and feature engineering.
• Present findings and insights to both technical and non-technical stakeholders.

• Collaborate with engineers and product teams to deploy models into production.

   

Requirements

• Strong knowledge of Python and data science libraries (pandas, NumPy, scikit-learn, matplotlib, seaborn).
• Experience with statistical modeling, hypothesis testing, and A/B experiments.
• Hands-on experience with at least one ML/DL framework (PyTorch, TensorFlow, Keras).
• Solid understanding of SQL and experience with relational databases.
• Familiarity with cloud platforms (AWS, GCP, Azure) or big data tools (Spark, Hadoop).
• Strong problem-solving and analytical thinking skills.
• English level B2 or higher — ability to work in an international team.

Nice to have

• Experience in NLP, Computer Vision, or Generative AI projects.
• Familiarity with MLOps tools (MLflow, Airflow, W&B).
• Experience with NoSQL databases (MongoDB, ElasticSearch).
• Participation in Kaggle competitions or open-source projects.
• Background in business intelligence tools (Tableau, Power BI, Looker).

We offer

• Remote-first work with international projects.
• Diverse tasks across different domains (finance, healthcare, e-commerce, AI-driven solutions).
• Competitive compensation package.
• Growth opportunities towards Senior/Lead Data Scientist or ML Engineer roles.