Principal Data Scientist

Worldpay

USremote country$165k-$250k/yrPosted Jul 13, 2026
Posting intelligenceActively listed

Skills

classificationscikitlearndatabrickssnowflakepandaspythonnumpygooglecloudawsgoml

About the role

Job Description

This position is not eligible for visa sponsorship, now or in the future. Candidates must be a US Citizen or Green Card Holder

This position is remote in the Greater Boston Area only OR hybrid 3 days per week in our either our Cincinnati, OH or Atlanta, GA office.

Ready to take your career global?

What you’ll own

Strategy and vision:

Define the technical vision and strategy for new data driven product initiatives with a focus on end-to-end payment optimization, aligning them with business goals.

Develop scalable and reusable capabilities to power real-time machine learning models (classification, ranking and optimization), enable rapid experimentation at scale, and support continuous monitoring of ML products.

Technical contribution and leadership:

Oversee and participate hands-on in the conceptualization, development, production deployment, operation, validation, and maintenance of ML models and model update systems.

Establish and ensure adherence to best practices for ML modeling. Stay abreast of industry trends and emerging technologies in ML and payment optimization, driving adoption of modern tools, frameworks, and infrastructure.

Foster a culture of innovation, experimentation and collaboration. Mentor an elite team of data scientists

Cross-functional collaboration:

Partner with product, engineering, data, and compliance teams to integrate ML into products. Communicate complex technical concepts clearly to both technical and non-technical audiences.

Collaborate with other Data Science leaders to establish an operating model for machine learning R&D that optimizes end-to-end delivery of business value.

What you’ll bring

Bachelor’s or master’s degree in computer science, Statistics, Mathematics, Engineering, or related field (PhD preferred)

7+ years in ML research or engineering ; 5+ years building large-scale, real-time ML systems in production, including significant experience hands-on

Expertise in machine learning, statistical modeling, and data analysis , strong experience across the ML lifecycle and experimentation processes

Proficiency in Python (Pandas, NumPy, scikit-learn), strong SQL and database experience (NoSQL and/or graph database experience 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 effectively across technical and business audiences at all levels, including executive leadership

It’s a bonus if you have

Experience in payments, fintech, or financial services

Knowledge of payment systems (authorization lifecycle, tokenization, fraud/risk, real-time payments)

Experience with cloud platforms (e.g., AWS, GCP, Snowflake, Databricks, Vertex AI)

Agile development experience

Experience in large companies, mature ML teams, and/or highly regulated industries

About the team

Our inclusive and global teams win together every day. We’re proud to have the best minds in the industry, who you can learn from as you grow your career. The people, the energy, the connections – it’s unmatched. Come and be part of an ever-evolving company and get dynamic opportunities that go beyond borders.

What makes a Globalpayer?

Globalpayers think like a client, act like an owner and win as one team. We’re curious and innovative – always finding better ways to deliver impact. We empower each other to make decisions, and it’s our passion that drives excellence in everything we set out to do.

#LI-AD1

Worldpay is dedicated to offering individuals rewarding career opportunities and competitive compensation. For this full-time position, the good faith estimated annual salary range upon hire is $165,300.00-$249,675.00. This range reflects what we reasonably expect to offer based on the role’s responsibilities, level, and geographic location. The actual starting salary will be determined by a candidate’s experience, job-related skills, and relevant education or training. Please note that changes in work location may impact the final offered salary. We encourage you to consult with your recruiter to confirm the budget for your location and to better understand the applicable pay scale.

If you are made a conditional offer of employment and will be working in the United States, you will be required to undergo a drug test. In developing this job description care was taken to include all competencies and requirements needed to successfully perform the position. Reasonable accommodations will be provided for individuals with qualified disabilities both during the hiring process, as well as to allow the individual to perform the essential functions of the job, if hired.

Compensation

This Data Scientist role pays $165k-$250k/yr. Within typical range for data scientist roles in United States.

Questions about this role

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