Description

Analyze large datasets and build machine learning models to solve business problems and create scalable data products.

This role is remote.

Responsibilities

• Analyze large datasets to uncover trends, patterns, and insights.
• Build and deploy data-driven solutions, dashboards, and analytical tools.
• Develop and optimize data pipelines, ETL processes, and database structures.
• Apply statistical analysis and machine learning techniques to solve business problems.
• Mentor junior data scientists and provide technical leadership.

Required Skills

• 5+ years of experience in Data Science or related field.
• Strong proficiency in Python, R, and SQL.
• Hands-on experience with machine learning techniques (clustering, decision trees, neural networks).
• Strong knowledge of statistical methods (regression, distributions, hypothesis testing).
• Experience with data analysis, cleaning, and transformation.
• Proficiency in building applications using Shiny, Dash, Flask, or Streamlit.
• Solid understanding of relational and dimensional databases.
• Experience working with data pipelines and ETL processes.

Preferred Skills

• Experience with geospatial data, geocoding, Neo4j, or network analysis.
• Knowledge of Docker and Kubernetes.
• Experience conducting workshops or training sessions.

Key Skills

Education

Any Gradute