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Senior Data Scientist Jobs in Rochester, NY (NOW HIRING)

Sr Data Scientist

Rochester, NY · On-site

$77.22 - $115.82/hr

## Sr Business Intel DeveloperApplyremote type: Hybridlocations: 135 Corporate Woodstime type: Full ... data science concepts to lay/nonexpert audiences requiredThe University of Rochester is committed ...

New

Data Scientist - Analytics as a ServicePosition Summary The Senior Data Scientist is responsible for developing the advanced analytics, machine learning models and AI algorithms that power Qualitrol ...

New

Senior Associate, Data Architect Job Code: 43047 Job Location: Multiple (Rochester, NY, Melbourne ... Science or related field or have completed their Master's degree within the last 12 months ...

Posted today

Senior Scientist

Rochester, NY · On-site

$85 - $120/hr

The senior analytical chemist will utilize strong technical expertise and data driven conclusions ... S. in material science, polymer physics, or related discipline is required, Ph.D. is preferred.

New

... data quality concerns in collaboration with senior technical staff. • Independently operate, maintain, and perform routine troubleshooting on analytical instrumentation, including gas ...

Data Architect

Rochester, NY · On-site

$63.25 - $81.50/hr

You are comfortable influencing senior stakeholders, collaborating across functions, and balancing ... Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field * 8+ ...

As a Senior Manager, you will utilize your skills and professional network to deliver quality ... Accounting, Analytics/Data Science, Artificial Intelligence/Robotics, Business Administration ...

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Showing results 1-20

Senior Data Scientist information

See Rochester, NY salary details

$40.9K

$140.6K

$198.3K

How much do senior data scientist jobs pay per year?

As of Aug 19, 2026, the average yearly pay for senior data scientist 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 a senior data scientist?

A senior data scientist does complex data analysis. Job duties include gathering data and writing reports that can help people make decisions. In some cases, they may offer machine learning which is a way to help computers process and understand data. A senior data scientist may also be asked to formulate an algorithm to solve work problems. You need statistics and programming knowledge to be successful in this career.

What does a senior data scientist do?

A Senior Data Scientist leads advanced analytical projects, utilizing statistical modeling, machine learning, and data mining techniques to extract insights from large datasets. They collaborate with cross-functional teams to identify business opportunities, design predictive models, and communicate findings to stakeholders. In addition to technical expertise, they often mentor junior data scientists, help define data strategies, and ensure best practices in data analysis and model deployment.

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

To thrive as a Senior Data Scientist, you need advanced expertise in statistics, machine learning, data analysis, and programming, typically supported by a degree in a quantitative field and several years of experience. Familiarity with tools like Python, R, SQL, cloud platforms, and machine learning frameworks, as well as relevant certifications such as AWS Certified Machine Learning or TensorFlow Developer, is highly valuable. Strong problem-solving abilities, communication skills, and leadership qualities help in translating data insights into actionable business strategies and mentoring junior team members. These skills and qualities are crucial for driving impactful data-driven decisions and fostering innovation within organizations.

What are some of the main challenges senior data scientists face when leading cross-functional projects?

Senior Data Scientists often encounter challenges such as aligning project goals across diverse teams, managing expectations of non-technical stakeholders, and ensuring data quality and accessibility. Balancing long-term research initiatives with immediate business needs can also be demanding. Effective communication, project management skills, and the ability to translate complex findings into actionable insights are essential for overcoming these hurdles and driving successful outcomes.

What is the difference between Senior Data Scientist vs Data Analyst?

AspectSenior Data ScientistData Analyst
Required CredentialsMaster's or PhD in Data Science, Statistics, or related fieldBachelor's degree in related field, often with certifications
Work EnvironmentAdvanced analytics, modeling, and machine learning projectsData reporting, visualization, and basic analysis
Employer & Industry UsageTech, finance, healthcare, and large enterprisesRetail, marketing, small to medium businesses

While both roles involve working with data, Senior Data Scientists focus on complex modeling and predictive analytics, whereas Data Analysts primarily handle data reporting and visualization. The Senior Data Scientist role requires advanced technical skills and higher education, making it suitable for more complex projects in larger organizations.

What is a senior data scientist's salary?

A senior data scientist's salary typically ranges from $100,000 to $150,000 annually, depending on experience, location, and industry. They often have advanced skills in machine learning, statistical analysis, and proficiency with tools like Python or R.
More about Senior Data Scientist jobs

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:

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

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

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

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

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

Infographic showing various Senior Data Scientist job openings in Rochester, NY as of August 2026, with employment types broken down into 81% Full Time, and 19% Contract. Highlights an 79% In-person, and 21% Remote job distribution, with an average salary of $140,561 per year, or $67.6 per hour.

$77.22 - $115.82/hr

Other

Posted 3 days ago

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University Of Rochester rating

8.3

Company rating: 8.3 out of 10

Based on 186 frontline employees who took The Breakroom Quiz

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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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