Description

Key Responsibilities:

• Analyze large datasets to uncover trends, patterns, and insights
• Build and deploy data-driven solutions, dashboards, and analytical tools
• Collaborate with stakeholders to translate business needs into data solutions
• Develop and optimize data pipelines, ETL processes, and database structures
• Apply statistical analysis and machine learning techniques to solve business problems
• Create prototypes and scalable data products for end users
• Mentor junior data scientists and provide technical leadership
• Ensure data quality, integrity, and compliance with standards
• Develop and maintain documentation for data solutions
• Present findings and insights to both technical and non-technical audiences

Required Skills & Qualifications:

• Bachelors or Master’s degree in Data Science, Statistics, Computer Science, Mathematics, or related field
• Strong experience with Python, R, and SQL
• Expertise in data analysis, data cleaning, and transformation
• Hands-on experience with machine learning techniques (clustering, decision trees, neural networks, etc.)
• Strong knowledge of statistical methods (regression, distributions, hypothesis testing)
• Experience with data visualization and reporting tools
• 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
• Strong analytical, problem-solving, and communication skills

Preferred Skills:

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

Key Skills

Education

Any Gradute