Data Science Leadership Development Program Intern

Jobtailor; Connecticut; On-site; USD 80,000 - 120,000; Full time

Job summary

Jobtailor is seeking a data science-focused candidate in Connecticut to assist in designing and implementing data analysis methods. The role emphasizes building statistical models, consolidating data sources, and delivering insights that support business decisions.

The successful candidate will communicate complex statistical concepts to non-technical stakeholders and contribute across data projects requiring Python, R, or SAS expertise.

Qualifications

• Applied statistical knowledge and experience solving real-world problems.
• Ability to explain technical concepts to non-technical audiences.
• Experience with programming languages (Python, R, SAS, etc).

Responsibilities

• Assist to design, develop and program methods, processes, and systems to consolidate and analyze data sources.
• Provide recommendations on projects involving data science concepts.
• Design and build statistical models to produce relevant business results.
• Identify, integrate and structure complex data flows.
• Validate, manipulate and perform data analysis tasks.
• Provide quantitative data support to ensure metric accuracy.
• Perform other duties as assigned.

Skills

Applied statistics

Communication

Programming (Python/R/SAS)

Education

Master’s or PhD in Statistics/Mathematics/Data Science

Job description

Responsibilities

• Assisting to design, develop and program methods, processes, and systems to consolidate and analyze unstructured and structured data sources
• Providing recommendations on projects that deal with data science related concepts
• Designing and building statistical models, analyses at the right level of complexity to produce relevant results for the business
• Identifying, integrating and structuring complex data flows
• Validating, manipulating and performing data analysis tasks
• Providing qualitative and quantitative data support to ensure accuracy of metrics
• Performing other duties as assigned

Requirements

• Pursuing a Master’s or PhD level degree in Statistics, Mathematics, or Data Science
• Applied statistical knowledge and experience solving “real-world” problems
• Demonstrated ability to communicate technical concepts to a non-technical audience
• Experience with a programming language (Python, R, SAS, etc)