Remote Data Scientist - Predictive Analytics for Growth

Eliassen Group; City of Albany (NY); A distancia; USD 103.000 - 116.000; A tiempo parcial

Descripción de la vacante

Eliassen Group is seeking a Data Scientist for a remote contract role operating on PST hours. The position involves designing, developing, and deploying analytical and ML solutions to drive customer growth, portfolio performance, profitability, and strategic decision-making in a financial services context.

You will collaborate with Marketing, Product, Finance, Treasury, Risk, Technology, and Data Engineering to translate business needs into scalable data-driven solutions.

Formación

• 3+ years in Data Science, Machine Learning, Analytics, or quantitative modeling.
• End-to-end analytical solutions delivery from requirements to production.
• Experience with large-scale structured and unstructured datasets.
• Ability to translate business problems into data-driven insights.

Responsabilidades

• Design, develop, validate, and maintain predictive and forecasting models.
• Apply ML and statistical techniques to support acquisition, retention, profitability, and growth.
• Execute end-to-end analytics workflows from data extraction to deployment and monitoring.
• Develop scalable analytical datasets and reusable tools and frameworks.
• Communicate findings and recommendations to technical and non-technical stakeholders.

Conocimientos

SQL

Python

Statistical modeling

Machine learning

Forecasting

Experiment design

Causal inference

Data visualization

Communication

Educación

Bachelor's degree in Data Science/Statistics/CS

Master's degree preferred

Descripción del empleo

Eliassen Group is seeking a Data Scientist for a remote contract role operating on PST hours. The position involves designing, developing, and deploying analytical and ML solutions to drive customer growth, portfolio performance, profitability, and strategic decision-making in a financial services context.

You will collaborate with Marketing, Product, Finance, Treasury, Risk, Technology, and Data Engineering to translate business needs into scalable data-driven solutions.