

Eliassen Group
Senior Applied Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Applied Data Scientist on a 6+ month contract, paying $80–$95 w-2, 100% remote. Key skills include Python, SQL, and applied data science, with a PhD or relevant experience required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
760
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🗓️ - Date
May 21, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Chicago, IL
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🧠 - Skills detailed
#SQL Queries #Computer Science #Mathematics #Model Validation #Data Access #Python #Statistics #SQL (Structured Query Language) #Data Science #Forecasting
Role description
Description
Our client, a leader in their industry, is hiring a Senior Applied Data Scientist for a 6+ month contract to support applied data science initiatives focused on a production pricing engine for products and services. This position is 100% remote.
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: $80–$95 w-2, 100% Remote, EST hours
Responsibilities
• Design, develop, and own applied data science and optimization models supporting a pricing engine for products and services
• Apply prescriptive analytics, forecasting, and operations research techniques to pricing, discounting, and value optimization problems
• Translate business requirements into mathematical formulations and data-driven solutions with measurable business impact
• Operationalize and support models using production-quality Python development to deploy solutions into production environments
• Write, optimize, and tune complex SQL queries to support large-scale data access, feature generation, and model validation
Experience Requirements
• Strong applied data science background, including optimization, forecasting, or prescriptive analytics in a business environment
• Proficient Python development skills with experience supporting or deploying models in production systems
• Strong SQL expertise, including complex query writing and performance tuning
Education Requirements
• PhD in a quantitative field (e.g., Data Science, Mathematics, Statistics, Computer Science, Industrial Engineering, Operations Research) with 2+ years of applied industry experience OR
• Master’s degree in a quantitative field with 5+ years of applied data science experience OR
• Bachelor’s degree in a quantitative or technical field with 7+ years of applied data science experience
Description
Our client, a leader in their industry, is hiring a Senior Applied Data Scientist for a 6+ month contract to support applied data science initiatives focused on a production pricing engine for products and services. This position is 100% remote.
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: $80–$95 w-2, 100% Remote, EST hours
Responsibilities
• Design, develop, and own applied data science and optimization models supporting a pricing engine for products and services
• Apply prescriptive analytics, forecasting, and operations research techniques to pricing, discounting, and value optimization problems
• Translate business requirements into mathematical formulations and data-driven solutions with measurable business impact
• Operationalize and support models using production-quality Python development to deploy solutions into production environments
• Write, optimize, and tune complex SQL queries to support large-scale data access, feature generation, and model validation
Experience Requirements
• Strong applied data science background, including optimization, forecasting, or prescriptive analytics in a business environment
• Proficient Python development skills with experience supporting or deploying models in production systems
• Strong SQL expertise, including complex query writing and performance tuning
Education Requirements
• PhD in a quantitative field (e.g., Data Science, Mathematics, Statistics, Computer Science, Industrial Engineering, Operations Research) with 2+ years of applied industry experience OR
• Master’s degree in a quantitative field with 5+ years of applied data science experience OR
• Bachelor’s degree in a quantitative or technical field with 7+ years of applied data science experience





