PhD Candidate — Data Science Intern: Build Models & Insights

Jobtailor; California (MO); On-site; Full time

Job description

• Evaluate open-source and internally-developed modeling and analytics tools using real business data
• Integrate internal data with external data sources and APIs to discover and implement actionable insights
• Design and craft data science models to communicate solutions to customers and company leadership

Requirements

• Currently has, or is in the process of obtaining a PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)
• Must be continuing in the same course of study of your PhD degree following completion of the internship
• At least 6 months experience or academic work using open source programming languages for data analysis
• At least 6 months of experience or academic work using machine learning techniques
• At least 6 months of experience with either Python, R or SQL

Core Competencies

Demonstrates expertise in data science model design and integration of internal and external data sources to derive actionable insights. Proficient in open-source programming languages and machine learning techniques, with a strong foundation in quantitative analysis.

Highest-signal resume keywords

• PhD In Quantitative Field
• Open Source Programming Languages
• Machine Learning Techniques
• Python
• R

Hard Skills

• Data Analysis
• Data Science Modeling
• Statistical Analysis
• Quantitative Research
• Analytics

Industry Keywords

• Business Data
• Actionable Insights

Tools & Technologies

• APIs