

Eliassen Group
Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Scientist position with a contract length of unspecified duration, offering a pay rate of $60.00 to $75.00/hr. Work location involves travel up to 80% across the greater United States. Key skills include R, Python, and statistical techniques; an advanced degree in a quantitative field is required.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
600
-
🗓️ - Date
July 25, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
-
📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
Chicago, IL
-
🧠 - Skills detailed
#Programming #R #Data Science #Scala #Python #ML (Machine Learning) #Statistics #Computer Science #Databases #Mathematics #Datasets
Role description
Description
Travel up to 80% around the greater United States.
Our client seeks a Data Scientist to creatively use data to solve business challenges and uncover opportunities. The role applies advanced analytics, quantitative tools, and modeling techniques to interpret data and deliver actionable recommendations.
Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.
Rate: $60.00 to $75.00/hr. w2
JN -072026-107695
Responsibilities
• Apply advanced analytics and quantitative modeling techniques to interpret complex datasets.
• Develop algorithms and analytical solutions to address business challenges.
• Translate insights into clear recommendations for colleagues and clients.
• Collaborate with cross-functional teams to identify and scope data-driven opportunities.
• Work with large datasets and relational databases to prepare, analyze, and validate data.
Experience Requirements
• Familiarity with statistical and data-mining techniques.
• Strong knowledge of programming languages focused on machine learning and advanced analytics, such as R, Python, and Scala.
• Experience working with large datasets and relational databases.
• Ability to communicate complex ideas effectively to colleagues and clients.
• Excellent problem-solving skills with the ability to analyze issues, identify causes, and recommend solutions quickly.
Education Requirements
• Advanced degree in a quantitative field such as computer science, engineering, physics, statistics, or applied mathematics.
Description
Travel up to 80% around the greater United States.
Our client seeks a Data Scientist to creatively use data to solve business challenges and uncover opportunities. The role applies advanced analytics, quantitative tools, and modeling techniques to interpret data and deliver actionable recommendations.
Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.
Rate: $60.00 to $75.00/hr. w2
JN -072026-107695
Responsibilities
• Apply advanced analytics and quantitative modeling techniques to interpret complex datasets.
• Develop algorithms and analytical solutions to address business challenges.
• Translate insights into clear recommendations for colleagues and clients.
• Collaborate with cross-functional teams to identify and scope data-driven opportunities.
• Work with large datasets and relational databases to prepare, analyze, and validate data.
Experience Requirements
• Familiarity with statistical and data-mining techniques.
• Strong knowledge of programming languages focused on machine learning and advanced analytics, such as R, Python, and Scala.
• Experience working with large datasets and relational databases.
• Ability to communicate complex ideas effectively to colleagues and clients.
• Excellent problem-solving skills with the ability to analyze issues, identify causes, and recommend solutions quickly.
Education Requirements
• Advanced degree in a quantitative field such as computer science, engineering, physics, statistics, or applied mathematics.






