Remote Data Scientist — ML & Analytics (PST)

Eliassen Group; Jackson (MS); Remote; USD 103,000 - 116,000; Full time

Job summary

Eliassen Group is seeking a Data Scientist for a remote contract role. The position operates on PST hours and targets analytical, statistical, and machine learning solutions to boost customer growth, portfolio performance, profitability, and strategic decision-making.

The role serves as a technical contributor within the Data Science & Analytics team, collaborating with Marketing, Product, Finance, Treasury, Risk, Technology, and Data Engineering to solve complex business problems using data.

Qualifications

• 3+ years in Data Science, ML, or advanced analytics.
• Experience delivering end-to-end analytical solutions from requirements through production.
• Experience with large-scale structured and unstructured datasets.
• Strong communication to translate findings to business.
• Advanced SQL for data extraction and analysis.
• Python for analytics and model development.

Responsibilities

• Design, develop, validate, and maintain predictive and forecasting models.
• Apply ML, statistical modeling to support customer growth and profitability.
• Execute end-to-end analytical workflows: data extraction to deployment.
• Develop scalable analytical datasets and reusable tools.
• Partner with stakeholders to define metrics and measure results.
• Design experiments, A/B tests, and pilot programs.
• Develop forecasting models for key business metrics.
• Build data pipelines and automate workflows.
• Translate business challenges into analytical solutions and recommendations.

Skills

SQL

Python

Machine Learning

Statistical Modeling

Data Visualization

Experiment Design

A/B Testing

Causal Inference

Data Cleaning

Large-scale Data Processing

Education

Bachelor's degree in a quantitative field

Master's degree preferred

Tools

SQL

Python

Job description

Eliassen Group is seeking a Data Scientist for a remote contract role. The position operates on PST hours and targets analytical, statistical, and machine learning solutions to boost customer growth, portfolio performance, profitability, and strategic decision-making.

The role serves as a technical contributor within the Data Science & Analytics team, collaborating with Marketing, Product, Finance, Treasury, Risk, Technology, and Data Engineering to solve complex business problems using data.