Senior Data Scientist

Key Qualifications

• Experience:

• 12 years of software development experience (preferred)
• 12 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