Remote Data Scientist — ML & Growth Analytics (Contract)

Eliassen Group; Trenton (NJ); Remote; USD 103,000 - 116,000; Full time

Benefits offered by this job

Medical benefits

401k with company matching

Life insurance

Job summary

Eliassen Group has an urgent contract Data Scientist role for remote work, focused on building predictive models and analytical solutions to drive growth and profitability. The candidate will collaborate across Marketing, Product, Finance, Risk, and Data Engineering to translate business needs into scalable analytics.

The position requires strong SQL and Python expertise, experience with large-scale datasets, and the ability to communicate complex results to stakeholders.

Qualifications

• 3+ years in Data Science, Machine Learning, Advanced Analytics, or quantitative modeling.
• Experience delivering end-to-end analytical solutions from requirements through production.
• Advanced SQL for large-scale data extraction, transformation, and analysis.
• Python for analytics, automation, ML, and model development.
• Experience with large-scale structured and unstructured datasets.

Responsibilities

• Design, develop, validate, and maintain predictive and forecasting models.
• Apply ML and statistical techniques to support growth, pricing, profitability, and operations.
• Execute end-to-end analytical workflows: data extraction, feature engineering, model development, validation, deployment, monitoring.
• Develop scalable analytical datasets and data pipelines.
• Partner with stakeholders to define metrics and measure results.
• Present findings and recommendations to technical and non-technical audiences.

Skills

Data Science

End-to-end analytics

Forecasting

Experimentation

Data visualization

Communication

Education

Bachelor's degree in a quantitative field

Master's degree preferred

Tools

SQL

Python

Job description

Eliassen Group has an urgent contract Data Scientist role for remote work, focused on building predictive models and analytical solutions to drive growth and profitability. The candidate will collaborate across Marketing, Product, Finance, Risk, and Data Engineering to translate business needs into scalable analytics.

The position requires strong SQL and Python expertise, experience with large-scale datasets, and the ability to communicate complex results to stakeholders.