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

... data, and understanding the relationship between state and federal authority. Emphasizes developing ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

... and data exploitation solutions. Provides technical leadership, mentorship, and oversight across ... Experience working in a defense, aerospace, or government-contractor environment In compliance with ...

... Computer Science, Computer Technology, Data Processing, Management Information Systems, or a ... Ontario County is a government authority that focuses on the economic development of the ...

Research Associate

Batavia, NY · On-site

$69K - $92K/yr

Scientific computing: Experience with Python, C++, Julia, UNIX/Linux, bash, git, data analysis, or ... Foreign Government Sponsored Activities Fermilab employees, and certain guest researchers and ...

We partner with government agencies to solve complex challenges, improve public health, strengthen ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

We partner with government agencies to solve complex challenges, improve public health, strengthen ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

Kelly Science & Clinical has a new, temporary opportunity for a Clinical Supply Manager in ... Collaborate with Clinical Ops and Data Management for RTSM system set-up. UAT testing. * Manage ...

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Data Scientist Government information

See Rochester, NY salary details

$37K

$121.2K

$194K

How much do data scientist government jobs pay per year?

As of Aug 12, 2026, the average yearly pay for data scientist government in Rochester, NY is $121,157.00, 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 is a data scientist government?

A Data Scientist in government applies data analysis, machine learning, and statistical methods to solve public sector challenges. They work with large datasets to provide insights that inform policy decisions, improve public services, and enhance operational efficiency. Their responsibilities may include data cleaning, visualization, predictive modeling, and working with stakeholders to interpret findings. Government data scientists often collaborate with agencies on projects related to public health, security, transportation, and more while ensuring compliance with regulations and data privacy laws.

What are typical projects or challenges a data scientist faces working in government agencies?

Data Scientists in government agencies often work on projects like optimizing resource allocation, improving public service delivery, and detecting fraud or irregularities in large-scale datasets. These roles frequently involve working with sensitive or incomplete government data, requiring not only technical expertise but a strong understanding of data privacy, ethics, and regulatory compliance. Collaboration with policy makers, IT departments, and subject matter experts is common, as cross-functional teamwork is essential for driving impactful results. Project timelines can vary, and flexibility is key as priorities shift to address emerging government needs or crises.

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

To succeed as a Data Scientist in government, you need a strong foundation in statistics, data analysis, and programming, usually supported by an advanced degree in a quantitative field. Experience with tools such as Python, R, SQL, and familiarity with data visualization platforms like Tableau, as well as certifications in analytics or public sector data governance, are highly valued. Excellent communication, problem-solving abilities, and a strong sense of public service help professionals collaborate across multidisciplinary government teams. These skills are essential for extracting actionable insights from complex datasets and effectively supporting data-driven policy and operational decisions.

What are popular job titles related to Data Scientist Government jobs in Rochester, NY? For Data Scientist Government jobs in Rochester, NY, the most frequently searched job titles are:
What job categories do people searching Data Scientist Government jobs in Rochester, NY look for? The top searched job categories for Data Scientist Government jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Data Scientist Government jobs? Cities near Rochester, NY with the most Data Scientist Government job openings:
Infographic showing various Data Scientist Government job openings in Rochester, NY as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, and 5% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $121,102 per year, or $58.2 per hour.

Vice President - Product Manager, Agent Ready Data

JPMorgan Chase & Co.

Rochester, NY • On-site

$150 - $190/hr

Other

Posted 3 days ago

New


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 493 frontline employees who took The Breakroom Quiz

72nd of 171 rated banks


Job description

The Chief Data and Analytics Office is responsible for accelerating the firm's data and analytics journey. Our team ensures the quality, integrity, and security of enterprise data while leveraging it to generate insights and drive smarter decision‑making. We are at the forefront of shaping how artificial intelligence and data products are governed, built, and scaled across a complex global organization. Join us and help define the data and AI agenda for one of the world's largest financial institutions.

As a Vice President – Product Manager, Agent Ready Data in the Chief Data and Analytics Office, you will drive the strategic direction of data and artificial intelligence initiatives across the organization. You will partner with stakeholders in compliance, legal, government relations, technology, and cybersecurity to navigate the evolving landscape for data and AI. Your work will directly shape AI and Agent Native data strategy. This is an opportunity to influence enterprise-wide strategy at the intersection of data and AI, with significant visibility across senior leadership.

Job responsibilities:
  • Define and document stakeholder requirements for data and artificial intelligence strategy, translating business needs into actionable plans.
  • Partner with compliance, legal, government relations, technology, and cybersecurity teams.
  • Develop business and product requirements for engineering teams, ensuring clarity and alignment with strategic objectives. Ensure software built meets those requirements.
  • Test LLM and agent outputs for accuracy.
  • Design LLM and agent “as judge” tests for outputs.
  • Work with LLMs and agents to create data artifacts.
  • Promote and strengthen awareness of data culture and best practices across the organization.
Required qualifications, capabilities, and skills:
  • Bachelor's degree in Finance, Data Science, Technology, or a related field
  • Four years of experience in product management at a financial or technology company
  • Six or more years of experience in finance, operations, data, or technology within a leading financial institution or similarly complex organization
  • Demonstrated experience working with modern AI tooling, artificial intelligence tools, frameworks, initiatives, and large language models (LLMs) in a professional setting
  • Clear and concise written and verbal communication skills, with the ability to tailor messaging to various levels of management
  • Proven ability to collaborate across multiple lines of business and functions in a matrixed environment
  • Strong analytical and problem‑solving skills with the ability to synthesize complex information into strategic recommendations
  • Excellent time management and organizational skills, with the ability to manage competing priorities
  • Advanced proficiency in Excel and PowerPoint for data analysis and executive presentations
  • Strong interpersonal and relationship‑building skills, with the flexibility to engage across functions, locations, and businesses
  • Familiarity with agile project management tools such as Jira
Preferred qualifications, capabilities, and skills
  • Experience testing AI outputs for accuracy.
  • Experience translating technical AI or data science concepts for non‑technical business audiences.
  • Familiar with semantics and the creation of semantic layers for data.
  • Familiar with industry data vocabularies, such as DCAT.
  • Comfortable giving live presentations in multiple forums.
  • Experience training new users on functionality and creating written guidelines.
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