Senior Data Scientist, Real-Time ML for Payments (Remote)

Eliassen Group; Juneau (AK); Remote; USD 117,000 - 131,000; Part time

Benefits offered by this job

Medical, Dental, Vision

401k with company matching

Life insurance

Job summary

Eliassen Group is seeking a Principal Data Scientist to scale Data Science and AI capabilities for end-to-end payment optimization. You will collaborate with ML engineers and product partners to design and deploy real-time models and intelligent decision engines, drive strategy and roadmaps, and mentor senior data science talent.

The role balances strategic leadership with hands-on contributions across architecture, code reviews, and production-grade ML solutions, while partnering with

Qualifications

• 7+ years in ML research or engineering with real-time systems.
• Experience leading ML model development and deployment in production.
• Strong Python (Pandas/NumPy/scikit-learn) and SQL proficiency.
• Ability to translate business needs into technical solutions.
• Excellent communication for technical and executive audiences.

Responsibilities

• Define technical vision and strategy for payment-optimization initiatives.
• Develop scalable real-time ML models including classification and optimization.
• Oversee development, deployment, validation, and maintenance of models.
• Set best practices for ML modeling and tool adoption.
• Mentor and develop an elite data science team.
• Collaborate with product, engineering, data, and compliance teams.
• Partner with leadership to optimize end-to-end ML R&D delivery.

Skills

Leadership

Communication

Education

Bachelor's or Master's in CS/Stats/Math/Engineering

PhD preferred

Tools

Python

SQL

NoSQL

Graph databases

AWS

GCP

Databricks

Vertex AI

Job description

Eliassen Group is seeking a Principal Data Scientist to scale Data Science and AI capabilities for end-to-end payment optimization. You will collaborate with ML engineers and product partners to design and deploy real-time models and intelligent decision engines, drive strategy and roadmaps, and mentor senior data science talent.

The role balances strategic leadership with hands-on contributions across architecture, code reviews, and production-grade ML solutions, while partnering with