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Data Scientist Jobs in Rochester, NY (NOW HIRING)

Sr Data Scientist

Rochester, NY · On-site

$77.22 - $115.82/hr

Excellent verbal and written communication and presentation skills, including the ability to describe data science concepts to lay/nonexpert audiences requiredThe University of Rochester is committed ...

Data Scientist information

See Rochester, NY salary details

$37K

$121.1K

$193.9K

How much do data scientist jobs pay per year?

As of Aug 24, 2026, the average yearly pay for data scientist in Rochester, NY is $121,102.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,200.00 and $134,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a data scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks, data visualization tools, and big data platforms like TensorFlow, Tableau, and Hadoop, as well as certifications in data science, are highly valued. Excellent problem-solving skills, curiosity, and the ability to communicate complex findings clearly set outstanding data scientists apart. These skills and qualities are crucial for extracting actionable insights from data, driving business decisions, and collaborating effectively with stakeholders.

What do data scientists do?

Data scientists collect, confirm, and interpret data to determine useful information for their employer. They help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information data scientists get from the records they gather helps businesses make major decisions in critical areas, such as product development, sales and marketing techniques, and client retention. Data scientists are highly educated; the majority of them have at least a master's degrees, and many have doctorates. Data scientists are valuable members of organizations in many different industries, including pharmaceuticals, manufacturing, and banking.

What are some typical projects data scientists work on, and how do they collaborate with other teams?

Data Scientists often work on projects such as building predictive models, analyzing large datasets to uncover trends, and developing data-driven solutions to business problems. They regularly collaborate with cross-functional teams, including software engineers, data engineers, and business analysts, to ensure that their insights are actionable and aligned with business goals. Effective communication and teamwork are essential, as Data Scientists frequently need to present complex findings to non-technical stakeholders and incorporate feedback from various departments.

What is the difference between Data Scientist vs Data Analyst?

AspectData Scientist
Required CredentialsDegree in Computer Science, Statistics, or related field; often requires advanced degrees
Work EnvironmentResearch and development, predictive modeling, machine learning projects
Employer & Industry UsageTech companies, finance, healthcare, consulting firms
Common Search & ComparisonOften compared due to overlapping skills in data analysis and modeling

Data Scientists focus on building predictive models, advanced analytics, and machine learning, often requiring higher-level technical skills and education. Data Analysts primarily interpret existing data, generate reports, and support decision-making with descriptive analytics. While both roles analyze data, Data Scientists handle complex modeling and predictive tasks, whereas Data Analysts focus on data interpretation and reporting.

Is a data scientist job still in demand?

Yes, data scientist roles remain in high demand across various industries due to the increasing reliance on data-driven decision making. Skills in machine learning, statistical analysis, and programming languages like Python or R are highly valued, and employment opportunities continue to grow as organizations seek to leverage big data for competitive advantage.

What does a data scientist do exactly?

A data scientist analyzes large datasets to extract insights, build predictive models, and support decision-making. They use statistical techniques, programming languages like Python or R, and tools such as SQL and machine learning algorithms to interpret data and solve complex problems.

What are the most commonly searched types of Data Scientist jobs in Rochester, NY?

The most popular types of Data Scientist jobs in Rochester, NY are:

What are popular job titles related to Data Scientist jobs in Rochester, NY?

For Data Scientist jobs in Rochester, NY, the most frequently searched job titles are:

What job categories do people searching Data Scientist jobs in Rochester, NY look for?

The top searched job categories for Data Scientist jobs in Rochester, NY are:

What cities near Rochester, NY are hiring for Data Scientist jobs?

Cities near Rochester, NY with the most Data Scientist job openings:

Infographic showing various Data Scientist job openings in Rochester, NY as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $121,157 per year, or $58.2 per hour.

$77.22 - $115.82/hr

Other

Posted 6 days ago


University Of Rochester rating

8.3

Company rating: 8.3 out of 10

Based on 186 frontline employees who took The Breakroom Quiz

129th of 622 rated colleges and universities


Job description

## Sr Business Intel DeveloperApplyremote type: Hybridlocations: 135 Corporate Woodstime type: Full timeposted on: Posted Todayjob requisition id: R272413As a community, the University of Rochester is defined by a deep commitment to Meliora - Ever Better. Embedded in that ideal are the values we share: equity, leadership, integrity, openness, respect, and accountability. Together, we will set the highest standards for how we treat each other to ensure our community is welcoming to all and is a place where all can thrive.**Job Location (Full Address):**135 Corporate Woods, Rochester, New York, United States of America, 14623**Opening:**Worker Subtype:RegularTime Type:Full timeScheduled Weekly Hours:40Department:900130 URMC Finance Decision SupportWork Shift:UR - Day (United States of America)Range:UR URG 113Compensation Range:$77,216.00 - $115,824.00*The referenced pay range represents the minimum and maximum compensation for this job. Individual annual salaries/hourly rates will be set within the job's compensation range, and will be determined by considering factors including, but not limited to, market data, education, experience, qualifications, expertise of the individual, and internal equity considerations.***Responsibilities:**Provides specialized depth and breadth of expertise in the design, implementation and dissemination of advanced financial and operational analytics and projects. Works with and advises key stakeholders to provide analysis and insights to enable data-driven decision-making. Provides leadership and mentorship in the development and evolution of advanced statistical and mathematical methods, including machine learning capabilities. Works in partnership with, and provides guidance to, team members solving complex problems to ensure robust, scalable analytics solutions and implementing them efficiently and effectively across the enterprise.**Essential Functions:*** Design and build reports, including data visualizations, using complex logic and multiple data sources.* Integrate visual analytics into reporting to enhance customer ease of use and understanding of the data.* Interpret customer business needs and translate them into application and operational requirements.* Work with Senior Leadership, Department Chairs, the Director’s Office, and front-line managers to determine and interpret needs for new ongoing reports, ad hoc reports, and report enhancements.* Thoroughly test reports and obtain user validation. Work in collaboration with individual customers to teach them: how to use the reporting platform, interpret and use the data in the report, and make customizations to the report based on individual reporting requirements.* Critically evaluate information gathered from multiple sources, reconcile conflicts, decompose high-level information into details, abstract up from low-level information to a general understanding, and distinguish customer requests from the underlying true needs.* Maintain data sources and visualizations. Review visualizations for potential enhancements, efficiency improvements.* Other duties as assigned**Minimum Education & Experience:*** Bachelors required; Masters preferred* 4 years of relevant experience required.* or equivalent combination of education and experience**Knowledge, Skills & Abilities:*** Tableau and SQL required. R, Python preferred* Considerable experience with relational databases required.* Strong attention to detail, ability to develop creative solutions to complex problems, and strong critical thinking skills required* Strong analytic, qualitative and quantitative data analysis skills, with demonstrated ability to break down complex problems into phased deliverables required* Excellent verbal and written communication and presentation skills, including the ability to describe data science concepts to lay/nonexpert audiences requiredThe University of Rochester is committed to fostering, cultivating, and preserving an inclusive and welcoming culture to advance the University’s Mission to Learn, Discover, Heal, Create – and Make the World Ever Better. In support of our values and those of our society, the University is committed to not discriminating on the basis of age, color, disability, ethnicity, gender identity or expression, genetic information, marital status, military/veteran status, national origin, race, religion, creed, sex, sexual orientation, citizenship status, or any other characteristic protected by federal, state, or local law (Protected Characteristics). This commitment extends to non-discrimination in the administration of our policies, admissions, employment, access, and recruitment of candidates, for all persons consistent with our values and based on applicable law. #J-18808-Ljbffr

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