Remote Data Scientist (Contract) - Growth & Analytics

Eliassen Group; Helena (MT); Remote; USD 103,000 - 116,000; Full time

Benefits offered by this job

Medical benefits

401k with company match

Life insurance

Remote work

Job summary

Eliassen Group is seeking a Data Scientist for a remote contract opportunity, working on PST hours with a focus on predictive modeling, customer analytics, and portfolio performance. You will partner with Marketing, Product, Finance, Treasury, Risk, Technology, and Data Engineering to solve complex business problems using large-scale data.

The role requires expertise in data processing, forecasting, experimentation, and communicating findings to stakeholders.

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

Machine Learning

Statistical Modeling

Data Visualization

Experimentation

Education

Bachelor's degree in Data Science, Statistics, Computer Science or related

Master's degree preferred

Tools

SQL

Python

Big Data platforms

Job description

Eliassen Group is seeking a Data Scientist for a remote contract opportunity, working on PST hours with a focus on predictive modeling, customer analytics, and portfolio performance. You will partner with Marketing, Product, Finance, Treasury, Risk, Technology, and Data Engineering to solve complex business problems using large-scale data.

The role requires expertise in data processing, forecasting, experimentation, and communicating findings to stakeholders.