Description

Develop statistical models and machine learning algorithms to drive data analysis and actionable insights.

This role is on-site.

Responsibilities

• Clean, validate, and organize complex datasets to ensure accuracy.
• Build scalable data pipelines and analytics workflows.
• Analyze and visualize trends to identify key opportunities.
• Collaborate with developers to deploy models into production environments.
• Communicate findings and technical recommendations to stakeholders.

Required Skills

• Master's degree in a quantitative field (Computer Science, Mathematics, Statistics, Engineering, or Economics).
• 0–2 years of experience in data science (internships welcome).
• Proficiency in Python and SQL.
• Strong knowledge of machine learning algorithms including Regression, SVM, Random Forests, and Clustering.
• Familiarity with Git and basic software development practices.

Preferred Skills

• Experience with big data systems (HPCC, Hadoop, Spark).
• Exposure to cloud platforms (AWS, GCP, Azure).
• Familiarity with visualization tools (Tableau, Kibana, Power BI, matplotlib/Plotly).

Key Skills

Education

Master's degree