Remote Data Scientist - ML & Forecasting (Contract)

Eliassen Group; Denver (CO); Remote; USD 103,000 - 116,000; Part time

Job summary

Eliassen Group is seeking a Data Scientist for a remote contract role operating on PST hours. The candidate will design, build, and deploy predictive and optimization models, using SQL and Python to drive customer growth and profitability across banking and financial services.

Collaboration across Marketing, Product, Finance, Treasury, Risk, Technology, and Data Engineering is required. The role emphasizes large-scale data processing, experimentation, forecasting, and customer analytics with

Qualifications

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

Responsibilities

• Design, develop, validate, and maintain predictive, forecasting, classification, segmentation, and optimization models.
• Apply machine learning, statistical modeling, and advanced analytical techniques to support customer acquisition, retention, portfolio growth, pricing, profitability, and operational efficiency.
• Execute end-to-end analytical workflows including data extraction, feature engineering, model development, validation, deployment, monitoring, and performance measurement.
• Develop scalable and reusable analytical solutions, model frameworks, and code libraries.
• Evaluate and implement emerging analytical methodologies and technologies to improve business outcomes.
• Analyze customer acquisition, onboarding, engagement, retention, funding behavior, and product performance.
• Develop customer segmentation methodologies and behavioral models to support growth initiatives and customer experience improvements.
• Identify key drivers of customer value, retention, attrition, profitability, and portfolio performance.
• Conduct deep-dive analyses to uncover actionable insights and business opportunities.
• Quantify the impact of business initiatives using statistical and analytical methodologies.
• Develop forecasting models for customer growth, balances, deposits, funding activity, and other key business metrics.
• Build optimization frameworks to support business planning, customer strategies, portfolio management, and pricing decisions.
• Evaluate scenarios and quantify business risks, opportunities, and expected outcomes.
• Partner with stakeholders to define performance metrics and measure business results.
• Design, execute, and evaluate controlled experiments, A/B tests, and pilot programs.
• Establish measurement methodologies and success metrics for strategic initiatives.
• Apply causal inference and statistical techniques to measure incremental business impact.
• Provide recommendations based on quantitative evaluation of business strategies and initiatives.
• Develop and optimize SQL and Python solutions for data extraction, transformation, analysis, and automation.
• Build scalable analytical datasets, automated workflows, and data pipelines.
• Develop reusable tools and frameworks to improve efficiency and consistency across analytical projects.
• Partner with Technology and Data Engineering teams to improve data accessibility, reliability, and scalability.
• Investigate data anomalies, reporting discrepancies, and model performance issues.
• Perform root-cause analysis and recommend corrective actions.
• Develop automated data quality controls, validation processes, and monitoring frameworks.
• Ensure analytical solutions adhere to governance, documentation, and reproducibility standards.
• Partner with business leaders and cross-functional teams to define analytical requirements and prioritize opportunities.
• Translate business challenges into analytical approaches and technical solutions.
• Present analytical findings, model results, assumptions, risks, and recommendations to technical and non-technical audiences.
• Serve as a trusted advisor on advanced analytics, machine learning, and measurement methodologies.

Skills

SQL

Python

Statistical modeling

Machine learning

Forecasting

Data visualization

Experimental design

Causal inference

Communication

Big data processing

Education

Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, Engineering, OR related field

Master's degree or higher preferred

Job description

Eliassen Group is seeking a Data Scientist for a remote contract role operating on PST hours. The candidate will design, build, and deploy predictive and optimization models, using SQL and Python to drive customer growth and profitability across banking and financial services.

Collaboration across Marketing, Product, Finance, Treasury, Risk, Technology, and Data Engineering is required. The role emphasizes large-scale data processing, experimentation, forecasting, and customer analytics with