Remote Data Scientist: ML & Customer Analytics

Eliassen Group; Lincoln (NE); Remote; USD 103,000 - 116,000; Full time

Benefits offered by this job

Medical, Dental, Vision benefits

401k with company matching

Life insurance

Job summary

Eliassen Group is seeking a Data Scientist for a remote contract role, working on PST hours. You will design and implement analytical, statistical, and ML solutions to drive customer growth and portfolio performance.

You will collaborate with Marketing, Product, Finance, Risk, and Technology to translate business needs into scalable data-driven solutions. The role emphasizes large-scale data processing, predictive modeling, experimentation, forecasting, and customer analytics, with a focus on

Qualifications

• Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Economics or related field.
• Master's degree preferred for advanced roles.
• Experience in data science, ML, analytics and modeling.

Responsibilities

• Design, develop, validate, and maintain predictive and forecasting models.
• Apply ML and statistical techniques to improve customer growth and profitability.
• Execute end-to-end analytical workflows from data extraction to deployment and monitoring.
• Develop scalable analytical datasets and reusable toolsets.
• Partner with stakeholders to define metrics and communicate results to non-technical audiences.
• Conduct deep-dive analyses to uncover actionable insights.

Skills

Python

SQL

Statistical modeling

Machine Learning

Forecasting

Experiment design

Data visualization

Data quality

Data storytelling

Big data processing

Education

Bachelor's degree in Data Science/Statistics/CS

Master's degree preferred

Tools

Pandas

scikit-learn

TensorFlow

Job description

Eliassen Group is seeking a Data Scientist for a remote contract role, working on PST hours. You will design and implement analytical, statistical, and ML solutions to drive customer growth and portfolio performance.

You will collaborate with Marketing, Product, Finance, Risk, and Technology to translate business needs into scalable data-driven solutions. The role emphasizes large-scale data processing, predictive modeling, experimentation, forecasting, and customer analytics, with a focus on