Decision Scientist

Eliassen Group
Springfield, IL, United States
2 days ago
Apply on dejobs.org
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
$114,400.0 - $128,710.0
Working hours
Regular working hours
Job source

Tech stack

Data Analysis Computer Programming Continuous Integration Relational Databases Generalized Linear Model Github Python (Programming Language) Machine Learning Operational Databases SQL Databases Cloud Platform System Snowflake
+3 more
Gitlab Data Pipelines Docker

Job description

  • Develop and maintain forecasting, statistical, econometric, and machine learning models.
  • Analyze audience, viewership, advertising impressions, and demographic performance data.
  • Support revenue management, pricing, and business decision-making initiatives across businesses.
  • Build, deploy, and maintain production-ready data science solutions.
  • Create and support automated data pipelines and model deployment processes.
  • Partner with stakeholders to translate analytical needs into scalable solutions.
  • Present findings and recommendations to business leaders and clients.

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., * Advanced expertise in statistics, forecasting, econometrics, and machine learning.

  • Strong programming experience with Python and SQL.
  • Experience with production data pipelines, cloud environments, CI/CD, Docker, GitHub and/or GitLab, and relational databases.
  • Expertise in one or more of: time series forecasting, Bayesian statistics, generalized linear models, econometric modeling, machine learning algorithms, optimization, and simulation.
  • Preferred: PhD, Snowflake, media or entertainment industry experience, audience or viewership forecasting, advertising and impressions analytics, revenue management and pricing analytics, linear TV or streaming analytics.

Education Requirements:

  • Master’s or PhD in Statistics, Econometrics, Operations Research, Industrial Engineering, Mathematics, Machine Learning, or a related quantitative field.

Benefits & conditions

Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.

W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.

If anyone reaches out to you about an open position connected with Eliassen Group, please ensure that you are working directly with us by confirming the following:

· When you work with Eliassen Group, all email communication will come from an Eliassen.com address, never Gmail, Yahoo, etc.

About the company

Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients’ capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on dejobs.org
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

6:36 min

Funding open source through GitHub Accelerator and Sponsors

Stormy Peters · World Congress 2023

6:14 min

Structuring CI/CD pipelines with integrated security and quality checks

Christoph Ruggenthaler · LIVE

2:07 min

Inspecting default bridge architectures and custom Docker networks

Oliver Seitz Oliver Seitz · World Congress 2025

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

2:40 min

Using GitHub primitives for internal documentation and corporate operations

Kyle Daigle · Coffee With Developers

Videos

See all

Related articles

See all