Remote Data Scientist - Financial Services (Contract)

Eliassen Group; Juneau (AK); Remote; USD 103,000 - 116,000; Full time

Job summary

Eliassen Group is seeking a Data Scientist for a remote, contract opportunity. This role focuses on designing, developing, and deploying predictive and analytic models to drive customer growth, portfolio performance, profitability, and strategic decisions.

Collaboration spans Marketing, Product, Finance, Treasury, Risk, Technology, and Data Engineering across large-scale data sets. The successful candidate will excel in predictive modeling, forecasting, experimentation, and customer analytics,

Qualifications

• Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, Engineering, OR related field.
• Master's degree or higher preferred in a related quantitative discipline.

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 including data extraction, feature engineering and deployment.
• Develop scalable analytical datasets, data pipelines, and reusable tools.
• Partner with stakeholders to define metrics and measure business results.
• Build and evaluate forecasting models for key business metrics.

Skills

SQL

Python

Machine Learning

Forecasting

Experimental design

Causal inference

Data visualization

Data quality validation

Big data

Education

Bachelor's degree in a quantitative field

Master's degree or higher preferred

Tools

SQL tooling

Python libraries for analytics

Job description

Eliassen Group is seeking a Data Scientist for a remote, contract opportunity. This role focuses on designing, developing, and deploying predictive and analytic models to drive customer growth, portfolio performance, profitability, and strategic decisions.

Collaboration spans Marketing, Product, Finance, Treasury, Risk, Technology, and Data Engineering across large-scale data sets. The successful candidate will excel in predictive modeling, forecasting, experimentation, and customer analytics,