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H1B Visa Data Science Jobs in Rochester, NY (NOW HIRING)

... data, consulting with other specialists and performing endoscopic procedures of the digestive tract at the ambulatory surgery center and hospital. Visa support- H1B & J1's welcome to apply.

2027 Intern - Technology

Rochester, NY · On-site

$15 - $19.75/hr

FTI cannot offer employment to F-1 (student) visa holders who require employer sponsorship in the ... Business, Computer Forensics, Cybersecurity, Data Analytics, Data Science, Digital Forensics ...

2027 Intern - Technology

Geneseo, NY · On-site

$14.50 - $19.25/hr

FTI cannot offer employment to F-1 (student) visa holders who require employer sponsorship in the ... Business, Computer Forensics, Cybersecurity, Data Analytics, Data Science, Digital Forensics ...

2027 Intern - Technology

Rochester, NY

$15 - $19.75/hr

FTI cannot offer employment to F-1 (student) visa holders who require employer sponsorship in the ... Business, Computer Forensics, Cybersecurity, Data Analytics, Data Science, Digital Forensics ...

2027 Intern - Technology

Geneseo, NY

$14.50 - $19.25/hr

FTI cannot offer employment to F-1 (student) visa holders who require employer sponsorship in the ... Business, Computer Forensics, Cybersecurity, Data Analytics, Data Science, Digital Forensics ...

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H1B Visa Data Science information

See Rochester, NY salary details

$40.9K

$140.6K

$198.3K

How much do h1b visa data science jobs pay per year?

As of Sep 5, 2026, the average yearly pay for h1b visa data science in Rochester, NY is $140,561.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,900.00 and $164,300.00 per year, depending on experience, location, and employer.

What is an H1B visa for data scientists?

An H1B visa for data scientists is a non-immigrant work visa that allows U.S. employers to hire foreign professionals in specialty occupations, such as data science, for a specified period. Data scientists on H1B visas typically require at least a bachelor's degree in a related field and work in roles involving data analysis, machine learning, and statistical modeling. The H1B program is competitive, with annual caps and application deadlines, and selection is often through a lottery system. Employers must sponsor the visa, and the process involves both government filings and potential prevailing wage requirements.

What are the key skills and qualifications needed to thrive as a data scientist working under an H1B visa?

To thrive as a Data Scientist, you need a strong background in statistics, programming (Python/R), machine learning, and a relevant degree such as computer science, mathematics, or engineering. Familiarity with data analysis tools like SQL, TensorFlow, and big data platforms such as Hadoop or Spark, as well as relevant certifications, is highly valuable. Strong problem-solving, communication, and teamwork skills help you translate complex data insights into actionable solutions for business stakeholders. These combined skills are crucial for delivering impactful data-driven results and succeeding in a competitive, fast-evolving tech environment.

What are some unique challenges data scientists on an H1B visa might face in the workplace, and how can they navigate them?

Data scientists working in the U.S. on an H1B visa may encounter challenges such as navigating complex immigration paperwork, adhering to strict timelines for visa renewals, and sometimes managing uncertainty about long-term residency. Additionally, there might be additional scrutiny during background checks or when transferring employers. To navigate these challenges, it's important to work closely with your employer’s HR and legal teams, stay organized with documentation, and proactively seek out networking and mentorship opportunities within your organization. Many companies that sponsor H1B visas also offer resources and support to help international employees succeed and advance in their roles.

What is the difference between H1B Visa Data Science vs H1B Visa Data Analyst?

AspectH1B Visa Data ScienceH1B Visa Data Analyst
Required CredentialsBachelor's or higher in CS, Statistics, or related fields; often advanced degreesBachelor's degree in related fields; certifications helpful but not mandatory
Work EnvironmentResearch, modeling, predictive analytics, machine learning projectsData cleaning, reporting, visualization, basic analysis
Employer & Industry UsageTech companies, finance, healthcare, consultingRetail, marketing, finance, healthcare

H1B Visa Data Science roles typically require advanced education and involve complex modeling and machine learning tasks, while Data Analyst roles focus on data reporting and visualization. Both roles are in high demand but differ in technical depth and responsibilities.

What are popular job titles related to H1B Visa Data Science jobs in Rochester, NY?

For H1B Visa Data Science jobs in Rochester, NY, the most frequently searched job titles are:

What job categories do people searching H1B Visa Data Science jobs in Rochester, NY look for?

The top searched job categories for H1B Visa Data Science jobs in Rochester, NY are:

What cities near Rochester, NY are hiring for H1B Visa Data Science jobs?

Cities near Rochester, NY with the most H1B Visa Data Science job openings:

Business Data Analyst

Regional Transit Service

Rochester, NY • On-site

$27.90 - $29.80/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 5 days ago


Job description

Business Data Analyst

Department: Business and Data Insights

Reports To: Director of Business and Data Insights

Compensation: $27.90–$29.80 per hour (based on experience)

____________________________________________________________

Make an Impact at RTS

At RTS, we connect our community to the people, places, and opportunities that matter most.

____________________________________________________________

Why Join RTS?

Staying Healthy

  • Medical, Dental & Vision Insurance
  • Flexible Spending Account (FSA)

Feeling Secure

  • Pension Plan
  • NYS Deferred Compensation Plan
  • Life, Disability & Supplemental Insurance
  • Paid Time Off
  • Paid Holidays
  • Employee Assistance Program
  • Wellness Programs
  • Employee Discounts
  • Public Service Loan Forgiveness (PSLF)

____________________________________________________________

About the Role

The Business Data Analyst transforms complex transit data into actionable insights that improve operational performance, service reliability, and strategic decision-making across RTS.

Responsible for collecting, compiling, analyzing, interpreting, and maintaining data that supports transit performance. This position analyzes historical service data, evaluates proposed service changes, develops reports, dashboards, and predictive insights using statistical and business intelligence tools.

RTS does not provide visa sponsorship or relocation assistance.

____________________________________________________________

What You'll Do

  • Provide actionable business intelligence and analytics.
  • Gather, summarize, and prepare data for geospatial and statistical analysis.
  • Develop and maintain data models.
  • Train end users on reporting tools.
  • Build dashboards, reports, and visualizations.
  • Perform advanced statistical analysis.
  • Query data using SQL.
  • Prepare presentations and communicate findings.
  • Apply trend analysis, regression, hypothesis testing, root cause analysis, control charts, and statistical modeling.
  • Document data flows, quality controls, and validation methods.
  • Perform other duties as assigned.

____________________________________________________________

What We're Looking For

Required Qualifications

  • Bachelor's degree in Applied Mathematics, Statistics, Data Science, or related field.
  • Minimum three (3) years of progressively responsible business analysis experience, or an equivalent combination of education and experience.
  • Strong customer service and communication skills.

Preferred Qualifications

  • Experience with business intelligence and data visualization platforms.
  • Experience with Python and/or R.
  • Knowledge of public transit operations or transportation analytics.

_________________________________________________________

Knowledge, Skills & Abilities

  • Statistical analysis
  • SQL proficiency
  • Advanced Microsoft Excel
  • Python and/or R (preferred)
  • Data modeling and business intelligence
  • Analytical and critical thinking
  • Communication and presentation skills
  • Customer service
  • Organization and time management
  • Mathematical and computer skills

____________________________________________________________

Working Conditions & Physical Requirements

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

While performing the duties of this job, the employee is regularly required to sit while using hands to finger, handle, or feel objects, tools, or controls. The employee frequently is required to walk, talk, hear, see, and use a computer. Specific vision abilities required by this job include close vision, peripheral vision, depth perception, and the ability to adjust focus.  The employee is occasionally required to stand, reach with hands and arms, and stoop, kneel, crouch, or crawl.

The employee must regularly lift and/or move up to 20 pounds. The noise level in the work environment is usually moderate. The employee may occasionally be required to travel commercially.


Equal Employment Opportunity

Rochester Genesee Regional Transportation Authority (RGRTA) is committed to providing equal employment opportunities to all applicants and employees without regard to race, color, religion, national origin, citizenship or immigration status, sex, sexual orientation, gender identity, pregnancy, age, veteran status, disability, genetic information, or any other protected characteristic protected by applicable federal, state, or local law. RGRTA will provide reasonable accommodations to qualified applicants and employees with known disabilities unless doing so would impose an undue hardship on the operation of the organization.