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

Data Scientist II

Scottsville, NY · Hybrid

$99K - $124K/yr

Work closely with members of Product Management, New Product Development, Quality Assurance, and ... Required Skills Data Science, "SkillType" : null, "SkillId" : "300002429967531", "SectionId ...

Data Scientist II

Pittsford, NY · Hybrid

$99K - $124K/yr

Work closely with members of Product Management, New Product Development, Quality Assurance, and ... Required Skills Data Science, "SkillType" : null, "SkillId" : "300002429967531", "SectionId ...

Data Scientist II

Lima, NY · Hybrid

$99K - $124K/yr

Work closely with members of Product Management, New Product Development, Quality Assurance, and ... Required Skills Data Science, "SkillType" : null, "SkillId" : "300002429967531", "SectionId ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary The Opportunity As an AI & GenAI Data Scientist - Manager, you will play a pivotal role in ...

The Manager, Data Analytics is a global people leader within QuidelOrtho' s Global Quality ... Bachelor's degree in Life Sciences, Engineering, or a related technical discipline required. * 7+ ...

Data Architect - Remote

Rochester, NY · On-site +1

$63 - $81/hr

Architect and manage data platforms leveraging technologies such as Snowflake, Databricks, Spark, and Azure Data services * Collaborate with data engineers, data scientists, and business stakeholders ...

Data Architect - Remote

Rochester, NY · Remote

$63 - $81/hr

Architect and manage data platforms leveraging technologies such as Snowflake, Databricks, Spark, and Azure Data services * Collaborate with data engineers, data scientists, and business stakeholders ...

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Data Architect - Remote

Rochester, NY · Remote

$65.25 - $84/hr

Architect and manage data platforms leveraging technologies such as Snowflake, Databricks, Spark, and Azure Data services * Collaborate with data engineers, data scientists, and business stakeholders ...

Data Engineer

Rochester, NY · On-site

$113K - $135K/yr

Work as a "force multiplier" within our cross-functional teams, partnering with data science ... MegazoneCloud stands as Asia's leading cloud managed service provider (MSP) and digital ...

Data Engineer

Rochester, NY · On-site

$113K - $135K/yr

Work as a 'force multiplier' within our cross-functional teams, partnering with data science ... managing data solutions on AWS. • Proven experience in data wrangling and building robust data ...

... and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering ... and managing data warehouses and data lakes, verifying data is organized and accessible ...

... Science, Engineering, Mathematics, or related technical field (minimum required) Required Skills/Experience • 1-3 years experience in data management/analysis. • Strong data management and ...

... Science, Engineering, Mathematics, or related technical field (minimum required) Required Skills/Experience ** " 1-3 years experience in data management/analysis. ** " Strong data management and ...

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Showing results 1-20

Manager Data Scientist information

See Rochester, NY salary details

$45.4K

$162.8K

$240.3K

How much do manager data scientist jobs pay per year?

As of Jun 16, 2026, the average yearly pay for manager data scientist in Rochester, NY is $162,818.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,700.00 and $167,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Manager Data Scientist, and why are they important?

To thrive as a Manager Data Scientist, you need expertise in statistical analysis, machine learning, data modeling, and a relevant degree such as in computer science, mathematics, or statistics. Familiarity with tools like Python, R, SQL, cloud platforms (e.g., AWS, Azure), and experience with data visualization software and project management methodologies are commonly required. Strong leadership, effective communication, and the ability to mentor and guide teams are vital soft skills in this role. These competencies ensure successful project delivery, drive data-driven business decisions, and foster a productive, innovative team environment.

What is the difference between Manager Data Scientist vs Data Scientist?

AspectManager Data ScientistData Scientist
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; leadership experienceBachelor's or Master's in Data Science, Statistics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersAnalyzes data, develops models, reports findings
Employer & Industry UsageUsed in organizations with data teams, tech, finance, healthcareFound across industries, entry to mid-level roles

The main difference is that a Manager Data Scientist oversees data teams and projects, focusing on leadership and strategic planning, while a Data Scientist primarily conducts data analysis and model development. The manager role involves more coordination, mentorship, and stakeholder communication, whereas the data scientist role emphasizes technical skills and hands-on analysis.

How does a Manager Data Scientist typically collaborate with cross-functional teams to drive business outcomes?

As a Manager Data Scientist, you will work closely with teams such as engineering, product management, and business stakeholders to ensure data-driven solutions align with company goals. This collaboration often involves translating complex analytical findings into actionable insights, setting project priorities, and managing expectations. You will also facilitate communication between data scientists and non-technical teams to foster understanding and ensure successful project delivery. Building strong relationships and promoting a culture of data-driven decision-making are essential aspects of the role.

What are Manager Data Scientists?

Manager Data Scientists are professionals who oversee data science teams and projects within an organization. They combine advanced analytical skills with leadership abilities to guide data scientists, set project priorities, and ensure data-driven strategies align with business goals. In addition to technical expertise in data modeling, machine learning, and analytics, they are responsible for mentoring team members, managing resources, and communicating insights to stakeholders. Their role bridges the gap between technical execution and strategic decision-making.
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 cities near Rochester, NY are hiring for Manager Data Scientist jobs? Cities near Rochester, NY with the most Manager Data Scientist job openings:
Infographic showing various Manager Data Scientist job openings in Rochester, NY as of June 2026, with employment types broken down into 79% Full Time, 5% Part Time, 5% Temporary, and 11% Contract. Highlights an 95% In-person, and 5% Remote job distribution, with an average salary of $162,818 per year, or $78.3 per hour.
Data Scientist II

Data Scientist II

Honeywell

Scottsville, NY • Hybrid

$99K - $124K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago

Be an early applicant


Honeywell rating

8.3

Company rating: 8.3 out of 10

Based on 178 frontline employees who took The Breakroom Quiz

66th of 518 rated manufacturers


Job description

Job Description
Honeywell is looking for a data driven professional to join its Data Science engineering team to design & build in-house as well as evaluate and integrate 3 rd party analytical components. You will develop new innovative solutions, evaluate & integrate 3 rd party solutions, and deploy state-of-the-art AI-ML models and data mining techniques that leverage physical access control system datasets to unlock new security insights for end-user customers.
Do you enjoy integrating systems together, mashing-up datasets and analyzing them by leveraging state-of-the-art data mining, generative AI, and ML techniques to drive decision making? As an Advanced Data Scientist, you will be responsible for data engineering, leveraging closed and open-source LLMs, text and multi-modal embedding models, and development of new generative AI systems and ML models to deliver analytical systems that improve forensic and real-time security outcomes. These analytical systems you develop in-house and those integrated from 3 rd parties will extend the capabilities of our core product ecosystems.
Responsibilities
  • Participate in extending product capabilities through development and deployment of analytical systems leveraging data mining, generative AI, and ML techniques.
  • Interact with 3 rd parties to evaluate integration feasibility and licensing of technologies and analytic components
  • Design, prototyping, and implementation of new data-centric solutions
  • Effectively communicate and collaborate with local teams, international teams, and 3 rd parties
  • Contribute to build versus buy decisions
  • Work closely with members of Product Management, New Product Development, Quality Assurance, and end users as may be necessary to bring solutions to life
  • Self-starter that can take minimal direction and deliver results
  • Curious problem solver

Qualifications
YOU MUST HAVE
  • BS or MS in an appropriate technology field (Computer Science, Statistics, Applied Math, etc.)
  • 2 years of experience in modern advanced analytical tools and programming languages, including Python with scikit-learn
  • Some experience with exploratory data analysis
  • Some experience with ETL operations sourcing data from SQL, REST APIs, and flat files
  • Basic experience with data visualization technologies, such as Power BI, Tableau, matplotlib, Excel, etc.
  • 2 years of experience in traditional programming languages such as Python, JavaScript, TypeScript, C plus plus or C#
  • Comfortable in Windows and Linux environments

WE VALUE
  • Some exposure to building generative AI applications leveraging embeddings, LLMs, VLMs, vector databases, data source APIs, and agentic patterns/frameworks
  • Basic understanding of various deployment topologies including on-premises, hybrid, and cloud for production generative AI applications
  • Basic understanding of building predictive and decision-making AI applications.
  • Some exposure to using cloud services from AWS, Azure, or GCP to develop solutions.
  • Awareness of computer vision and image/video analysis, including object detection, recognition, tracking, and identification
  • Some exposure with application of data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision trees, neural networks, SVMs, anomaly detection, recommender systems, pattern discovery, and text mining
  • Problem Solving: Ability to solve problems using analytical thinking, reconciling viewpoints, and evaluating technologies.
  • Communication: Demonstrates effective verbal and written communication skills when explaining complex technical issues to both technical and non-technical audiences
  • Continuous learning mindset

The annual base salary range for this position is $99,200 - $124,000. Please note that this salary information serves as a general guideline. Honeywell considers various factors when extending an offer, including but not limited to the scope and responsibilities of the position, the candidate's work experience, education and training, key skills, as well as market and business considerations.
In addition to a competitive salary, leading-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package. This package includes employer subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays .For more Honeywell Benefits information visit: https://benefits.honeywell.com/
The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates. Job Posting Date: 2/22/2026
Due to compliance with U.S. export control laws and regulations, candidate must be a U.S. Person, which is defined as, a U.S. citizen, a U.S. permanent resident, or have protected status in the U.S. under asylum or refugee status or have the ability to obtain an export authorization.
About Us
Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments - powered by our Honeywell Forge software - that help make the world smarter, safer and more sustainable.
Required Skills
Data Science, "SkillType" : null, "SkillId" : "300002429967531", "SectionId" : "300000016520798", "ContentItemId" : null; Python Programming Language, "SkillType" : null, "SkillId" : "300002429967532", "SectionId" : "300000016520798", "ContentItemId" : null

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About Honeywell

Sourced by ZipRecruiter

Honeywell is charging into the Industrial IoT revolution with the establishment of Honeywell Connected Enterprise (HCE), building on our heritage of invention and deep, on-the-ground industry expertise. HCE is the leading industrial disruptor, building and connecting software solutions to streamline and centralize the assets, people and processes that help our customers make smarter, more accurate business decisions. Moving at the speed of software, we are creating, innovating and delivering solutions fast, challenging the way things have always been done, piloting new ways for all of us to work, and expecting our successes to set new standards for our customers and for Honeywell. The Chief Architect for Honeywell Connected Enterprise will lead a team of architects and system engineers responsible for the design of applications and infrastructure that deliver high value outcomes for customers in industrial, buildings, distribution centers, and aerospace vertical markets. The Chief Architect will work directly with leadership, development teams, and offering management to design well integrated solutions that utilize software platforming to encourage reuse and speed to market.

Industry

Furniture manufacturing

Company size

10,000+ Employees

Headquarters location

Charlotte, NC, US

Year founded

1906