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# Principal Data Scientist

- **Company:** Eliassen Group
- **Location:** Cincinnati, OH, United States
- **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, Google Cloud, Snowflake, Pandas, Scikit Learn, Information Technology, Data Analytics, Machine Learning Operations, Databricks
- **Published:** October 26, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3467589633&tx=JL11003LFU&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## 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 and 5+ years building large-scale, real-time ML systems in production with 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 with NoSQL or graph databases is a plus.
 * Demonstrated ability to lead solution design and execution, translating complex business requirements into actionable technology solutions.
 * Exceptional verbal and written 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, fraud and risk, or real-time payments. Experience with AWS, GCP, 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 computer science, statistics, mathematics, engineering, or related field. PhD preferred.

## Description

* Define the technical vision and strategy for data-driven initiatives focused on end-to-end payment optimization and align with business goals.
 * Develop scalable and reusable capabilities to power real-time machine learning models, enable rapid experimentation at scale, and support continuous monitoring of ML products.
 * Oversee and participate hands-on in the conceptualization, development, production deployment, operation, validation, and maintenance of ML models and model update systems.
 * Establish and enforce best practices for ML modeling while driving adoption of modern tools, frameworks, and infrastructure.
 * Foster a culture of innovation, experimentation, and collaboration and mentor a team of data scientists.
 * Partner with product, engineering, data, and compliance teams to integrate ML into products and communicate complex concepts to diverse audiences.
 * Collaborate with Data Science leaders to establish an operating model for ML R&D that optimizes delivery of business value.