Senior Applied Data Scientist

Eliassen Group, LLC
Stone Park, United States of America
yesterday

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 198K

Job location

Remote
Stone Park, United States of America

Tech stack

Big Data
Database Queries
Python
Performance Tuning
Freeform SQL
Model Validation
Information Technology
Machine Learning Operations

Job 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., * 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

Requirements

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., * 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

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