Description

You will build and deploy machine learning models to solve business problems using structured and unstructured data.

This role is remote.

Responsibilities

• Collect, clean, and preprocess data from multiple sources for analysis.
• Develop, train, and evaluate ML models for classification, regression, and forecasting.
• Perform exploratory data analysis, feature engineering, and statistical modeling.
• Build predictive analytics solutions using supervised and unsupervised techniques.
• Create data visualization dashboards and reports using Power BI, Tableau, or Python.

Required Skills

• 5+ years of experience in data science or machine learning.
• Proficiency in Python for data analysis and model development.
• Experience with distributed computing frameworks like Spark and Databricks.
• Knowledge of MLOps best practices for model deployment and monitoring.
• Familiarity with cloud platforms such as AWS, Azure, or GCP.
• Ability to collaborate with Data Engineers, Product Managers, and Software Engineers.
• Experience with data visualization tools like Power BI or Tableau.

Preferred Skills

• Experience deploying models in production environments at scale.
• Strong background in statistical modeling and hypothesis testing.

Key Skills

Education

Any Gradute