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# Principal Data Scientist

- **Company:** Eliassen Group
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $176,800.0 - $197,600.0
- **Contract:** Temporary to permanent
- **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, Data Analysis, Payment Systems, Graph Database, Python (Programming Language), Machine Learning, NoSQL, NumPy, Standard Sql, Tokenization, Google Cloud, Snowflake, Pandas, Scikit Learn, Information Technology, Machine Learning Operations, Databricks
- **Published:** September 30, 2026
- **Apply:** https://www.dice.com/job-detail/4253c5fc-f3ee-4c3c-8857-f1d39d8f45a1

## About the Role

* Bachelor's or master's degree in Computer Science, Statistics, Mathematics, Engineering, or related field. PhD preferred.
 * 7+ years in ML research or engineering with 5+ years building large-scale, real-time ML systems in production, including hands-on experience.
 * Expertise in machine learning, statistical modeling, and data analysis with strong experience across the ML lifecycle and experimentation.
 * Proficiency in Python (Pandas, NumPy, scikit-learn) and strong SQL experience. NoSQL or graph databases are a plus.
 * Demonstrated ability to lead solution design and execution, translating complex business requirements into actionable technology solutions.
 * Exceptional communication skills with the ability to influence and collaborate across technical and business audiences, including executives.
 * Bonus: Experience in payments, fintech, or financial services. Knowledge of payment systems such as authorization lifecycle, tokenization, fraud and risk, and real-time payments. Experience with cloud platforms including AWS, Google Cloud Platform, Snowflake, Databricks, or Vertex AI. Agile development experience. Background in large companies, mature ML teams, or regulated industries.

Education Requirements:

 * Bachelor's or master's degree in a relevant field. PhD preferred.

## Description

* Define technical vision and strategy for data-driven product initiatives focused on payment optimization, aligned to business goals.
 * Develop scalable and reusable capabilities for real-time ML models including classification, ranking, optimization, rapid experimentation, and continuous monitoring.
 * Oversee and contribute to conceptualization, development, deployment, operation, validation, and maintenance of ML models and update systems.
 * Establish and enforce best practices for ML modeling while evaluating and adopting modern tools, frameworks, and infrastructure.
 * Foster a culture of innovation, experimentation, and collaboration while mentoring an elite team of data scientists.
 * Partner with product, engineering, data, and compliance teams to integrate ML into products and communicate complex concepts to varied audiences.
 * Collaborate with Data Science leaders to establish an operating model for ML R&D that optimizes end-to-end delivery of business value.


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