Remote Data Scientist: Customer Growth & ML

Eliassen Group; Boise (ID); A distancia; USD 103.000 - 116.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical benefits

401k with company matching

Life insurance

Descripción de la vacante

Eliassen Group is seeking a Data Scientist for a remote contract role operating on PST hours. You will design, develop, and deploy analytical and machine learning solutions to drive customer growth, portfolio performance, profitability, and strategic decision-making.

The role requires expertise in large-scale data processing, predictive modeling, experimentation, forecasting, and customer analytics, with collaboration across Marketing, Product, Finance, Treasury, Risk, Technology, and Data

Formación

• Bachelor’s degree in a quantitative field.
• 3+ years in Data Science, ML, or related field.
• Experience with large-scale structured/unstructured datasets.
• Strong communication with stakeholders.

Responsabilidades

• Design, develop, validate, and maintain predictive and forecasting models.
• Apply ML and statistical techniques to support growth, pricing, profitability, and operations.
• End-to-end analytics workflows: data extraction, feature engineering, model development, deployment, and monitoring.
• Develop scalable analytical datasets, data pipelines, and reusable tools.
• Evaluate new methodologies and quantify business impact.
• Collaborate with cross-functional teams to translate business needs into analytics.

Conocimientos

Advanced SQL

Python for analytics

Statistical modeling

Machine learning

Forecasting

Experiment design

Educación

Bachelor's degree in Data Science, Statistics, CS, Mathematics, Economics, Engineering, OR Physics

Master's degree preferred

Herramientas

SQL

Python

Descripción del empleo

Eliassen Group is seeking a Data Scientist for a remote contract role operating on PST hours. You will design, develop, and deploy analytical and machine learning solutions to drive customer growth, portfolio performance, profitability, and strategic decision-making.

The role requires expertise in large-scale data processing, predictive modeling, experimentation, forecasting, and customer analytics, with collaboration across Marketing, Product, Finance, Treasury, Risk, Technology, and Data