About the role

  • Building and deploying machine learning models (supervised & unsupervised)
  • Designing and maintaining scalable data science pipelines
  • Rapid prototyping of ideas and transforming PoCs into enterprise-ready tools
  • Exploring structured and unstructured data (customer, transactional, pricing, text, etc.)
  • Managing cloud infrastructure (primarily AWS) and working with modern ML tools
  • Delivering clear, insightful reports and presentations to internal and external stakeholders
  • Mentoring junior data scientists and supporting team growth and excellence

Requirements

  • Expertise in Python (NumPy, pandas, scikit-learn) and SQL
  • Experience with EDA, data wrangling, and visualization tools (e.g., Matplotlib, Plotly, BI tools)
  • Ability to build, evaluate, and deploy ML models (REST APIs, batch jobs, FastAPI, etc.)
  • Experience operating in cloud environments (AWS preferred) using Docker and Git workflows
  • Strong foundation in statistics, machine learning, and experimental design
  • Proven ability to communicate technical solutions clearly to non-technical stakeholders

Benefits

  • Professional development opportunities

Job title

Data Scientist

Job type

Experience level

JuniorMid level

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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