Data Scientist

IRB USA Inspire Resources; Atlanta (GA); On-site; USD 85,000 - 115,000; Full time

Job summary

IRB USA Inspire Resources is seeking a skilled Data Scientist in Atlanta, Georgia, who will perform extensive analyses on various data sources to facilitate business decisions. The ideal candidate will have a strong background in statistical analysis, machine learning, and programming languages like Python and R.

With a minimum of a 4-year degree in a STEM field and relevant experience, you will lead complex statistical projects, contributing valuable insights and solutions for both internal and external clients. Experience with tools such as SQL, Spark, and cloud services is essential for this role.

Qualifications

• 2-3 years of relevant experience, familiarity with statistics and machine learning.
• Exceptional candidates may only have a bachelor’s degree.
• Master’s degree holders with less experience or PhDs with minimal experience are also qualified.

Responsibilities

• Lead statistical analysis and build models for complex business problems.
• Act as the lead statistician on business domains.
• Develop projects with multiple statistical deliverables.

Skills

Statistical analysis

Machine learning

Data mining

Python

R

SQL

Git (Version Control)

AWS/Azure/GCP

Spark

Education

4-year degree in a STEM field

Master’s degree in a STEM field

PhD in a STEM field

Job description

Job Overview

The Data Scientist performs analysis of multiple data sources using statistical analysis and computer science to solve business problems. Able to communicate analytical results to generate improved business decisions and profitability. Uses data mining tools and programming languages to prepare data for analysis and business decision making. Delivers analytical and commercial solutions for internal and external customers. Combines business requirements and existing process and data knowledge to create analytical solutions. This role requires in-depth knowledge and experience, enabling independent work with limited guidance. Applies a new perspective on existing solutions to solve complex problems. Makes decisions within guidelines and policies that impact a range of customer, operational, process, or project activities. Develops work plans for short‑term assignments of moderate complexities.

Responsibilities

• Lead statistical analysis and build models for various and complex business problems.
• Lead the analytical design for complex problem solutions, taking input from others.
• Lead the development of projects with multiple statistical deliverables leveraging business and technical expertise.
• Act as the lead statistician on business or technical domains.
• Contribute to the code repository and improve the coding of others.
• Analyze and prepare complex and new data sources and incorporate them into analytical solutions.
• Evaluate the technical work of peer statistical analysts, guiding them on deliverable quality and accuracy.
• Communicate results to stakeholders and mid‑level leadership, emphasizing the business impact of work.

Education & Experience

Minimum Requirements: 4‑year degree in a STEM field with 2‑3 years of highly relevant experience. Qualified candidates with only a bachelor’s are considered exceptional. Familiarity with statistics and machine learning concepts is essential.

Alternate Paths:

• Master’s degree in a STEM field with 1‑2 years of work experience.
• PhD in a STEM field with 0‑1 year of work experience.

Preferred Qualifications: Master’s degree in a STEM field with 2 years or more of relevant experience.

Required Knowledge, Skills, and Abilities

Must be proficient in at least three of the following tools:

• Spark
• Python
• R
• SQL
• Git (Version Control)
• AWS/Azure/GCP