Remote Data Scientist (PST) – Forecasting & ML

Eliassen Group; Atlanta (GA); Remoto; USD 103.000 - 116.000; Part-time

Vantaggi offerti da questo lavoro

Medical, Dental, Vision benefits

401(k) with company matching

Life insurance

Descrizione del lavoro

Eliassen Group is seeking a Data Scientist for a remote contract role focused on developing predictive models and data-driven strategies. The candidate will work with Marketing, Product, Finance, and Risk teams to translate business needs into scalable analytics and machine learning solutions.

The role requires 3+ years in data science, expertise in SQL and Python, and strong communication skills to present findings to stakeholders. Remote PST-hour alignment is expected.

Competenze

• Bachelor’s degree in data-related field; master’s preferred.
• 3+ years in Data Science or ML, end-to-end projects.
• Experience with large-scale datasets and SQL/Python.

Mansioni

• 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.

Conoscenze

SQL

Python

Machine Learning

Statistical Modeling

Data Visualization

Formazione

Bachelor's degree in Data Science/related

Master's degree preferred

Strumenti

Pandas

Scikit-learn

TensorFlow

Airflow

Descrizione del lavoro

Eliassen Group is seeking a Data Scientist for a remote contract role focused on developing predictive models and data-driven strategies. The candidate will work with Marketing, Product, Finance, and Risk teams to translate business needs into scalable analytics and machine learning solutions.

The role requires 3+ years in data science, expertise in SQL and Python, and strong communication skills to present findings to stakeholders. Remote PST-hour alignment is expected.