Description

You will analyze large datasets to uncover trends, build data-driven solutions, and deploy scalable data products. This role involves owning the full lifecycle from data pipeline development to stakeholder presentation.

This role is remote.

Responsibilities

• Analyze large datasets to identify trends and patterns.
• Build and deploy dashboards and analytical tools using Python, R, or SQL.
• 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 on data solutions.

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 including clustering, decision trees, and neural networks.
• Strong knowledge of statistical methods such as regression, distributions, and hypothesis testing.
• Experience building applications using Shiny, Dash, Flask, or Streamlit.
• Solid understanding of relational and dimensional databases.
• Ability to translate business needs into technical data solutions.

Preferred Skills

• Experience with geospatial data and geocoding.
• Knowledge of Docker and Kubernetes.
• Exposure to Neo4j or network analysis.

Key Skills

Education

Bachelor's or Master's degrees