Description

You will build, deploy, and maintain machine learning solutions to solve complex data problems.

This role is hybrid.

Responsibilities

• Develop and implement statistical models, including regression, classification, and clustering algorithms.
• Design and manage data pipelines with a focus on ETL processes, data wrangling, and feature engineering.
• Deploy and maintain ML models using cloud platforms.
• Analyze data and present findings through visualizations for technical and non-technical stakeholders.

Required Skills

• 10+ years of professional experience in a relevant role.
• Expert proficiency in Python, Pandas, NumPy, and Scikit-learn.
• Strong command of SQL for data querying and manipulation.
• Experience with Data Visualization tools, specifically Power BI and Tableau.
• Hands-on experience with cloud platforms, Azure or AWS, for data pipeline management.
• Proven ability in Statistical Modeling and Time Series Forecasting.
• Demonstrated experience in Data Engineering practices.

Preferred Skills

• Familiarity with Natural Language Processing (NLP).
• Experience with Spark or Hadoop for big data processing.

Key Skills

Education

Any Graduate