Remote Data Scientist – ML, Forecasting & Growth (Contract)

Eliassen Group; Augusta (ME); Remote; USD 103,000 - 116,000; Full time

Benefits offered by this job

Medical

Dental

Vision

401k with company match

Life insurance

Job summary

Eliassen Group is seeking a Data Scientist for a remote contract role. You will design and implement analytical, statistical, and machine learning solutions to drive customer growth, portfolio performance, profitability, and strategic decisions.

The role collaborates across Marketing, Product, Finance, Treasury, Risk, Tech, and Data Engineering to solve business problems using data. You will develop scalable models and datasets, apply causal inference and forecasting, and translate business

Qualifications

• 3+ years in Data Science, ML or analytics.
• Experience delivering end-to-end analytical solutions.
• Experience with large-scale datasets and data pipelines.
• Strong SQL and Python capabilities.

Responsibilities

• Design, develop, validate, and maintain predictive models and forecasts.
• Apply ML and statistical methods to improve customer growth, profitability and risk insights.
• Execute end-to-end analytics workflows: extract, transform, model, deploy, monitor.
• Develop scalable data tools and reusable frameworks.
• Communicate findings to stakeholders and guide decisions.

Skills

SQL

Python

Data visualization

Statistical modeling

Machine learning

Forecasting

Experiment design

Causal inference

Communication

Education

Bachelor's degree in Data Science, Statistics, CS, Math or related

Master's degree preferred

Job description

Eliassen Group is seeking a Data Scientist for a remote contract role. You will design and implement analytical, statistical, and machine learning solutions to drive customer growth, portfolio performance, profitability, and strategic decisions.

The role collaborates across Marketing, Product, Finance, Treasury, Risk, Tech, and Data Engineering to solve business problems using data. You will develop scalable models and datasets, apply causal inference and forecasting, and translate business