Remote Data Scientist for Growth & Analytics (Contract)

Eliassen Group; Olympia (WA); Remote; USD 103,000 - 116,000; Part time

Benefits offered by this job

Remote work

Job summary

Eliassen Group is seeking a Data Scientist for remote work on PST, supporting banking and financial services clients. The role emphasizes building predictive models, customer analytics, and data-driven decision making in collaboration with Marketing, Product, Finance, Risk, and Tech teams.

Responsibilities include end-to-end analytics, forecasting, experimentation, and communicating results to stakeholders, with a focus on scalable data pipelines and actionable insights.

Qualifications

• Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, Engineering, Operations Research, Physics, or a related quantitative field required.
• Master's degree or higher in a related quantitative discipline preferred.
• Experience with large-scale structured and unstructured datasets, end-to-end analytical solutions.

Responsibilities

• Design, develop, validate, and maintain predictive, forecasting, classification, segmentation, and optimization models.
• Apply ML and statistical techniques to support customer acquisition, retention, portfolio growth, pricing, profitability, and operations.
• Execute end-to-end analytical workflows including data extraction, feature engineering, model development, validation, deployment, and monitoring.
• Develop scalable analytical datasets, data pipelines, and reusable tools/frameworks.
• Present analytical findings and recommendations to technical and non-technical stakeholders.

Skills

Data science

Machine learning

Statistical modeling

Forecasting

Communication

Data visualization

Education

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

Master's degree preferred

Tools

SQL

Python

Job description

Eliassen Group is seeking a Data Scientist for remote work on PST, supporting banking and financial services clients. The role emphasizes building predictive models, customer analytics, and data-driven decision making in collaboration with Marketing, Product, Finance, Risk, and Tech teams.

Responsibilities include end-to-end analytics, forecasting, experimentation, and communicating results to stakeholders, with a focus on scalable data pipelines and actionable insights.