What are the responsibilities and job description for the Senior Applied Data Scientist position at Eliassen Group?
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
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
- 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
- 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
Salary : $80 - $95