Data Science Analyst Jobs at Ryder System with Visa Sponsorship
Data Science Analyst jobs at Ryder System support logistics, fleet management, and supply chain operations, with roles spanning modeling, analytics, and reporting. The company has a track record of sponsoring international talent in technical functions, making it a viable target for H-1B visa and employment-based Green Card applicants.
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Get Access To All JobsSUMMARY
The Data Product Owner role owns the end-to-end delivery of data as a product—partnering with customers and internal teams to define a market-leading data offering, translate needs into clear requirements, and ensure high-quality, secure, and scalable data products.
ESSENTIAL FUNCTIONS
- Monitor internal processes and product performance using Power BI dashboards, KPIs, and data quality signals; identify issues and drive corrective actions.
- Own the data product roadmap and backlog: define epics, write user stories with acceptance criteria, and prioritize delivery based on customer value, risk, and feasibility.
- Develop a strategic plan to evolve current data capabilities into a market-leading data product (e.g., data access, packaging, governance, pricing/entitlements, and customer experience).
- Drive requirements with the established enterprise IT data management team to access, model, and transform data (e.g., in Snowflake) into customer-ready insights and products.
- Partner with IT Data and AI teams to expose data to customers safely and effectively, including enabling data for GenAI and ML use cases.
- Assess customer needs for data and access to data through discovery, interviews, and feedback loops; translate needs into API, dataset, and analytics requirements.
- Develop and operationalize machine learning models that support fleet managers in daily operations (e.g., predictions, anomaly detection, recommendations), collaborating with IT data science and engineering.
- Define and maintain product metrics (adoption, latency, freshness, accuracy, SLAs) and establish ongoing observability for data pipelines and APIs.
- Collaborate cross-functionally with IT engineering, analytics, security, legal/compliance, and customer teams to deliver secure, reliable, and scalable data products.
ADDITIONAL RESPONSIBILITIES
- Perform other duties as assigned.
SKILLS AND ABILITIES
- Demonstrated ability to run customer discovery and translate needs into technical requirements, user stories, and measurable outcomes., Required
- Hands-on experience with Power BI (or similar) for KPI definition, dashboarding, and performance monitoring., Required
- Experience visualizing data and communicating insights to both technical and non-technical stakeholders., Required
- Excellent communication, stakeholder management, and ability to drive decisions in ambiguous, cross-functional environments., Required
- Experience with data product governance (data contracts, catalog/lineage, quality rules, entitlement models, privacy-by-design)., Preferred
- Experience in logistics, fleet management, telematics, or operational analytics., Preferred
QUALIFICATIONS
- Bachelor's Degree in Bachelor’s degree in Computer Science, Information Systems, Data Science, Engineering, or related field (or equivalent experience)., Required
- 3 years or more in Experience in product ownership/management, technical program management, or analytics roles delivering data platforms, data products, or API-enabled capabilities., Required
- Strong working knowledge of cloud data warehousing and analytics patterns; experience with Snowflake preferred. Expert, Required
- Understanding of APIs (REST concepts, authentication/authorization, versioning) and how customers consume data products programmatically. Advanced, Required
- Familiarity with machine learning concepts and lifecycle (feature definition, evaluation metrics, monitoring/drift) and partnering with data science teams to deliver ML-enabled products. Advanced, Required
- Familiarity with ML Ops practices (model deployment, monitoring, drift detection) and experimentation/A-B testing. Intermediate, Preferred
- Working knowledge of agile practices and tools (e.g., Scrum/Kanban; Jira/Azure DevOps). Intermediate, Preferred
- Certified Scrum Product Owner (CSPO), Preferred
- Microsoft Certified: Power BI Data Analyst Associate (PL-300), Preferred
- Snowflake SnowPro Core Certification, Preferred
TRAVEL
- Yes, 1-10%
JOB CATEGORY: Product Development
COMPENSATION INFORMATION
The compensation offered to a candidate may be influenced by a variety of factors, including the candidate’s relevant experience; education, including relevant degrees or certifications; work location; market data/ranges; internal equity; internal salary ranges; etc. The position may also be eligible to receive an annual bonus, commission, and/or long-term incentive plan based on the level and/or type. Compensation ranges for the position are below:
PAY TYPE:
Salaried
Minimum Pay Range:
$100,000.00
Maximum Pay Range:
$115,000.00
BENEFITS INFORMATION
For all Full-time positions only: Ryder offers comprehensive health and welfare benefits, to include medical, prescription, dental, vision, life insurance and disability insurance options, as well as paid time off for vacation, illness, bereavement, family and parental leave, and a tax-advantaged 401(k) retirement savings plan.
Ryder is proud to be an Equal Opportunity Employer and Drug Free workplace.
All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, among other things, or status as a qualified individual with disability.
IMPORTANT NOTE:
Some positions require additional screening that may include employment and education verification; motor vehicle records check and a road test; and/or badging or background requirements of the customer to which you are assigned.
Security Notice for Applicants:
Ryder will only communicate with an applicant directly from a [@ryder.com] email address and will never conduct an interview online through a chat type forum, messaging app (such as WhatsApp or Telegram), or via an online questionnaire. During an interview, Ryder will never ask for any form of payment or banking details and will never solicit personal information outside of the formal submitted application through www.ryder.com/careers.
Should you have any questions regarding the application process or to verify the legitimacy of an interview or Ryder representative, please contact Ryder at careers@ryder.com or 800-793-3754.
CURRENT EMPLOYEES:
If you are a current employee at Ryder, please click here to log in to Workday to apply using the internal application process.
SUMMARY
The Data Product Owner role owns the end-to-end delivery of data as a product—partnering with customers and internal teams to define a market-leading data offering, translate needs into clear requirements, and ensure high-quality, secure, and scalable data products.
ESSENTIAL FUNCTIONS
- Monitor internal processes and product performance using Power BI dashboards, KPIs, and data quality signals; identify issues and drive corrective actions.
- Own the data product roadmap and backlog: define epics, write user stories with acceptance criteria, and prioritize delivery based on customer value, risk, and feasibility.
- Develop a strategic plan to evolve current data capabilities into a market-leading data product (e.g., data access, packaging, governance, pricing/entitlements, and customer experience).
- Drive requirements with the established enterprise IT data management team to access, model, and transform data (e.g., in Snowflake) into customer-ready insights and products.
- Partner with IT Data and AI teams to expose data to customers safely and effectively, including enabling data for GenAI and ML use cases.
- Assess customer needs for data and access to data through discovery, interviews, and feedback loops; translate needs into API, dataset, and analytics requirements.
- Develop and operationalize machine learning models that support fleet managers in daily operations (e.g., predictions, anomaly detection, recommendations), collaborating with IT data science and engineering.
- Define and maintain product metrics (adoption, latency, freshness, accuracy, SLAs) and establish ongoing observability for data pipelines and APIs.
- Collaborate cross-functionally with IT engineering, analytics, security, legal/compliance, and customer teams to deliver secure, reliable, and scalable data products.
ADDITIONAL RESPONSIBILITIES
- Perform other duties as assigned.
SKILLS AND ABILITIES
- Demonstrated ability to run customer discovery and translate needs into technical requirements, user stories, and measurable outcomes., Required
- Hands-on experience with Power BI (or similar) for KPI definition, dashboarding, and performance monitoring., Required
- Experience visualizing data and communicating insights to both technical and non-technical stakeholders., Required
- Excellent communication, stakeholder management, and ability to drive decisions in ambiguous, cross-functional environments., Required
- Experience with data product governance (data contracts, catalog/lineage, quality rules, entitlement models, privacy-by-design)., Preferred
- Experience in logistics, fleet management, telematics, or operational analytics., Preferred
QUALIFICATIONS
- Bachelor's Degree in Bachelor’s degree in Computer Science, Information Systems, Data Science, Engineering, or related field (or equivalent experience)., Required
- 3 years or more in Experience in product ownership/management, technical program management, or analytics roles delivering data platforms, data products, or API-enabled capabilities., Required
- Strong working knowledge of cloud data warehousing and analytics patterns; experience with Snowflake preferred. Expert, Required
- Understanding of APIs (REST concepts, authentication/authorization, versioning) and how customers consume data products programmatically. Advanced, Required
- Familiarity with machine learning concepts and lifecycle (feature definition, evaluation metrics, monitoring/drift) and partnering with data science teams to deliver ML-enabled products. Advanced, Required
- Familiarity with ML Ops practices (model deployment, monitoring, drift detection) and experimentation/A-B testing. Intermediate, Preferred
- Working knowledge of agile practices and tools (e.g., Scrum/Kanban; Jira/Azure DevOps). Intermediate, Preferred
- Certified Scrum Product Owner (CSPO), Preferred
- Microsoft Certified: Power BI Data Analyst Associate (PL-300), Preferred
- Snowflake SnowPro Core Certification, Preferred
TRAVEL
- Yes, 1-10%
JOB CATEGORY: Product Development
COMPENSATION INFORMATION
The compensation offered to a candidate may be influenced by a variety of factors, including the candidate’s relevant experience; education, including relevant degrees or certifications; work location; market data/ranges; internal equity; internal salary ranges; etc. The position may also be eligible to receive an annual bonus, commission, and/or long-term incentive plan based on the level and/or type. Compensation ranges for the position are below:
PAY TYPE:
Salaried
Minimum Pay Range:
$100,000.00
Maximum Pay Range:
$115,000.00
BENEFITS INFORMATION
For all Full-time positions only: Ryder offers comprehensive health and welfare benefits, to include medical, prescription, dental, vision, life insurance and disability insurance options, as well as paid time off for vacation, illness, bereavement, family and parental leave, and a tax-advantaged 401(k) retirement savings plan.
Ryder is proud to be an Equal Opportunity Employer and Drug Free workplace.
All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, among other things, or status as a qualified individual with disability.
IMPORTANT NOTE:
Some positions require additional screening that may include employment and education verification; motor vehicle records check and a road test; and/or badging or background requirements of the customer to which you are assigned.
Security Notice for Applicants:
Ryder will only communicate with an applicant directly from a [@ryder.com] email address and will never conduct an interview online through a chat type forum, messaging app (such as WhatsApp or Telegram), or via an online questionnaire. During an interview, Ryder will never ask for any form of payment or banking details and will never solicit personal information outside of the formal submitted application through www.ryder.com/careers.
Should you have any questions regarding the application process or to verify the legitimacy of an interview or Ryder representative, please contact Ryder at careers@ryder.com or 800-793-3754.
CURRENT EMPLOYEES:
If you are a current employee at Ryder, please click here to log in to Workday to apply using the internal application process.
See all Data Science Analyst Jobs at Ryder System
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Science Analyst Jobs at Ryder System.
Get Access To All JobsTips for Finding Data Science Analyst Jobs at Ryder System
Align your portfolio to logistics data problems
Ryder operates across fleet management, supply chain, and transportation services. Showcase projects involving demand forecasting, route optimization, or operational efficiency. Hiring managers in this vertical respond to applied work, not purely academic modeling exercises.
Confirm your employer's E-Verify enrollment early
Ryder participates in E-Verify, which is required before any visa sponsorship can proceed. Confirming this before your first interview saves time and signals you understand the process, which matters to recruiters handling sponsored roles.
Flag sponsorship intent on your application clearly
Consulting and professional services firms often filter applications by work authorization status. Stating your sponsorship need upfront, rather than surfacing it at the offer stage, prevents late-stage complications and builds trust with the hiring team.
Prepare credentials before the PERM timeline begins
If Ryder pursues an EB-2 or EB-3 Green Card pathway, the PERM labor certification process requires documented proof of your qualifications. Have official transcripts, degree equivalency evaluations, and employment verification letters ready before your employer initiates filing.
Use Migrate Mate to target Ryder System roles directly
Migrate Mate filters Data Science Analyst openings by sponsorship history, so you can prioritize Ryder System roles without sifting through employers with no sponsorship track record. Set up alerts so you hear about new postings before they fill.
Negotiate your start date around H-1B cap timelines
If you need cap-subject H-1B sponsorship, USCIS only allows an October 1 start date for lottery selections. Build this into your offer negotiation rather than discovering the constraint after signing, which can create problems with both you and your employer.
Frequently Asked Questions
Does Ryder System sponsor H-1B visas for Data Science Analysts?
Yes, Ryder System sponsors H-1B visas for Data Science Analysts. The company has a documented sponsorship history in technical and analytical roles, which aligns with the specialty occupation requirements USCIS applies to data science positions. You should confirm sponsorship availability directly with the recruiter at the point of application, as not every open role is approved for sponsorship.
How do I apply for Data Science Analyst jobs at Ryder System?
Apply through Ryder System's careers portal or through Migrate Mate, which surfaces their Data Science Analyst openings filtered by sponsorship eligibility. When applying, clearly indicate your visa status and sponsorship requirement. Tailoring your application to Ryder's logistics and supply chain context, rather than submitting a generic data science resume, meaningfully improves your chances of passing initial screening.
Which visa types does Ryder System commonly use for Data Science Analyst roles?
H-1B is the most common nonimmigrant visa used for Data Science Analyst roles at companies like Ryder, given that data science meets USCIS's specialty occupation standard requiring at least a bachelor's degree in a relevant technical field. For permanent residency, Ryder has used EB-2 and EB-3 employment-based Green Card pathways, which require a PERM labor certification filed with the Department of Labor before the immigrant petition can proceed.
What qualifications does Ryder System expect for Data Science Analyst candidates?
Ryder typically looks for candidates with a bachelor's or master's degree in data science, statistics, computer science, or a related quantitative field. Practical experience with Python or R, SQL, and machine learning frameworks is expected. Given Ryder's operational focus, familiarity with logistics, fleet, or supply chain data is a differentiator. Roles at the analyst level often require two to four years of applied industry experience rather than purely academic backgrounds.
How long does the visa sponsorship process take for a Data Science Analyst at Ryder System?
For H-1B sponsorship, your employer files with USCIS in April during the lottery window, with an October 1 start date if selected. Standard processing runs three to five months after filing, with premium processing available to reduce USCIS adjudication to 15 business days. PERM-based Green Card sponsorship typically adds one to two years to the timeline, since the Department of Labor's labor certification process alone can take twelve months or more.