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Remote Full Stack Data Scientist Jobs in Ohio (NOW HIRING)

Principal Data Scientist

Cincinnati, OH ยท On-site +1

$165K - $249K/yr

Candidates must be a US Citizen or Green Card Holder This position is remote in the Greater Boston ... We areseekingan experienced and visionary Principal Data Scientist tohelp scaleour Data Science and ...

New

Data Scientist - Predictive Analytics

Columbus, OH ยท On-site +1

$108K - $181K/yr

Standard office/remote work environment CoverMyMeds and McKesson value diverse perspectives and are ... For additional information on McKesson's full Equal Employment Opportunity policies, visit our ...

Data Scientist - Predictive Analytics

Columbus, OH ยท On-site +1

$108K - $181K/yr

Standard office/remote work environment CoverMyMeds and McKesson value diverse perspectives and are ... For additional information on McKesson's full Equal Employment Opportunity policies, visit our ...

Data Scientist - Predictive Analytics

Columbus, OH ยท On-site +1

$108K - $181K/yr

Standard office/remote work environment CoverMyMeds and McKesson value diverse perspectives and are ... For additional information on McKesson's full Equal Employment Opportunity policies, visit our ...

The Senior Data Scientist- AI, contributes to building and developing the organization's data ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

The Senior Data Scientist- AI, contributes to building and developing the organization's data ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

The Applied AI Scientist III is responsible for the development and application of cutting-edge ... One (1) year of experience with cloud services (such as Azure, AWS or GCP) and modern data stack ...

Actimize Lead Full-stack Engineer

Columbus, OH ยท On-site +1

$70K - $140K/yr

... experience to convert data from an external app to Actimize Microsoft Office experience ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Actimize Lead Full-stack Engineer

Columbus, OH ยท On-site +1

$70K - $140K/yr

... experience to convert data from an external app to Actimize Microsoft Office experience ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

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Remote Full Stack Data Scientist information

What is a Remote Full Stack Data Scientist?

A Remote Full Stack Data Scientist is a professional who works from any location to handle the end-to-end process of data science projects. This includes collecting and cleaning data, developing and training machine learning models, deploying solutions into production, and sometimes building user-facing applications. They are skilled in both back-end (data engineering, modeling) and front-end (visualization, application development) tasks. Remote Full Stack Data Scientists often collaborate with distributed teams using digital communication and project management tools. Their broad skill set allows them to manage the entire data pipeline and deliver actionable insights or products remotely.

How do Remote Full Stack Data Scientists typically collaborate with cross-functional teams in a virtual environment?

Remote Full Stack Data Scientists frequently work with product managers, engineers, and business analysts using collaboration tools such as Slack, Zoom, and project management platforms like Jira or Trello. Regular virtual meetings, clear documentation, and version control systems (like Git) help ensure transparency and alignment across teams. Effective communication and proactive updates are essential to keep projects on track and to integrate data-driven insights into the broader product development process.

What are the key skills and qualifications needed to thrive as a Remote Full Stack Data Scientist, and why are they important?

To thrive as a Remote Full Stack Data Scientist, you need a strong foundation in statistics, machine learning, data engineering, and programming languages like Python or R, usually supported by a relevant degree in computer science, statistics, or a related field. Familiarity with tools and frameworks such as TensorFlow, PyTorch, SQL databases, cloud platforms (AWS, Azure, GCP), and experience with version control systems like Git are typically required. Excellent problem-solving, communication, and self-motivation skills are crucial for collaborating remotely and translating complex data insights to stakeholders. These combined abilities ensure effective end-to-end data solutions, seamless remote teamwork, and impactful business outcomes.
What are the most commonly searched types of Full Stack Data Scientist jobs in Ohio? The most popular types of Full Stack Data Scientist jobs in Ohio are:
What are popular job titles related to Remote Full Stack Data Scientist jobs in Ohio? For Remote Full Stack Data Scientist jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Remote Full Stack Data Scientist jobs in Ohio look for? The top searched job categories for Remote Full Stack Data Scientist jobs in Ohio are:
What cities in Ohio are hiring for Remote Full Stack Data Scientist jobs? Cities in Ohio with the most Remote Full Stack Data Scientist job openings:
Principal Data Scientist

Principal Data Scientist

Worldpay

Cincinnati, OH โ€ข On-site, Remote

$165K - $249K/yr

Full-time

Posted 3 days ago

New


Job description

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 AreaonlyORhybrid 3 days per week inoureither ourCincinnati, OHor Atlanta, GAoffice.

Ready to take your careerglobal?

Make your mark at one of the biggest namesinpayments.We areseekingan experienced and visionaryPrincipal Data Scientisttohelp 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. 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.

  • 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.

  • Collaborate with other Data Science leaders toestablishan operating model for machine learning R&D thatoptimizesend-to-end delivery of business value.

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.

What makes aGlobalpayer?

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.

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.