Principal Data Scientist

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Make your mark at one of the biggest namesinpayments.We areseekingan experienced and visionary Principal Data Scientist tohelp scaleour Data Science and AI team.

In this role, you will collaborate closely with ML software engineers, product managers, and other product delivery teams to build ML models and data-driven algorithms into robust, scalable, and production-ready products that optimize the end-to-end payment process.

Establish and ensure adherence to best practicesforMLmodeling.Stay abreast of industry trends and emerging technologies in MLand payment optimization, drivingadoptionofmodern tools, frameworks, and infrastructure.

Foster a culture of innovation,experimentationandcollaboration.Mentoran elite team ofdata 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.

Whatyou’llbring Bachelor’s or master’sdegree in computer science, Statistics, Mathematics, Engineering, or related field (PhD preferred) 7+ years in ML research orengineering;5+ years building large-scale, real-time ML systems in production,includingsignificant experiencehands-on Expertisein machine learning, statistical modeling, and dataanalysis,strong experience across the ML lifecycle and experimentation processes Proficiencyin Python (Pandas, NumPy, scikit-learn),strong SQL and database experience (NoSQLand/orgraph database experience isa plus) Demonstrated ability to lead solution designand execution,translatingcomplex 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’sa 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 teamswintogetherevery day.We’reproud 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’sunmatched.Come and be part of an ever-evolving companyand get dynamic opportunities that go beyond borders.

Globalpayersthink like a client, act like anownerand win as one team.We’recurious andinnovative – always finding better ways to deliver impact.We empower each other to make decisions,andit’sour passion that drives excellence in everything we set out to do.

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 **ORhybrid 3 days per week inoureither ourCincinnati, OHor Atlanta, GAoffice.

You will act as payment subject matter expert and applystrong systemand product thinking to create new product concepts, influence and build development roadmaps, design intelligent decision engines, drive cross functionalinitiativesand mentor senior DS/ML engineers.You will balance strategic leadership with hands-on technical contribution, dividing your time between setting technical direction and activelyparticipatingin architecture, design reviews, code reviews, and selected implementation efforts.

Whatyou’llown Strategy and vision: Define the technical vision and strategy fornew data driven productinitiativeswith a focus onend-to-endpayment optimization, aligning them with business goals.

Develop scalableand reusablecapabilities to power real-timemachine learningmodels(classification, ranking and optimization),enable rapid experimentationat scale, andsupportcontinuousmonitoringof MLproducts.

Technical contributionandleadership: Overseeandparticipatehands-on intheconceptualization, development, production deployment, operation,validation,and maintenance of ML models andmodel updatesystems.

Collaborate with other Data Science leaders toestablishan operating model for machine learning R&D thatoptimizesend-to-end delivery of business value. What makes aGlobalpayer? Does this sound like you? Then you sound like aGlobalpayer.

Apply now totake your careerglobal. #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. EEOC Statement Worldpay is an equal opportunity employer.

We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics. The EEO is the Law poster is available here.

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. #J-18808-Ljbffr