Senior Data Scientist

Key Qualifications

• Experience:
• 1–2 years of software development experience (preferred)
• 1–2 years of experience as a Data Scientist, with a focus on Time Series forecasting
• 4+ years working with Azure Cloud platforms, including:
• Azure Databricks
• Azure ML Studio
• Azure Data Factory (ADF) Pipelines
• Technical Skills:
• ML Ops / DevOps practices and tooling
• CI/CD pipeline configuration and deployment
• MLFlow for experiment tracking and model management
• Strong programming skills in Python
• Experience with machine learning models such as:
• Random Forest
• XGBoost
• LightGBM
• Other ensemble modeling algorithms
• Education:
• Bachelor's or Master's degree in Software Engineering, Computer Science, Statistics, or a related field
• PhD not required
• Soft Skills:
• Fast learner with the ability to adapt to changing priorities
• Strong problem-solving and collaboration skills

Role Responsibilities

• Function as a developer with a strong focus on:
• ML model implementation, experimentation, and deployment
• Applying software engineering best practices in machine learning projects
• Conduct data analysis and work with forecasting algorithms, especially for time series data
• Collaborate with cross-functional teams to deliver production-level ML solutions

Tools & Technologies

• Azure Databricks
• Azure ML Studio
• Azure Data Factory (ADF)
• MLFlow
• CI/CD tools (e.g., GitHub Actions, Azure DevOps, Jenkins)
• Python and relevant ML libraries (e.g., scikit-learn, pandas, numpy, etc.)

What We Offer

• Opportunity to work on cutting-edge ML projects
• A highly motivated and collaborative team
• Competitive salary
• Flexible schedule
• Benefits package including:
• Medical insurance
• Sports membership or wellness stipend
• Corporate social events
• Professional development opportunities
• Modern, well-equipped office environment