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Data Science Jobs in Rochester, NY (NOW HIRING)

Honeywell

Data Scientist II

West Henrietta, NY · Hybrid

$99K - $124K/yr

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 ...

Honeywell

Data Scientist II

Rush, NY · Hybrid

$99K - $124K/yr

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 ...

Honeywell

Data Scientist II

Rochester, NY · Hybrid

$99K - $124K/yr

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 ...

Honeywell

Data Scientist II

Avon, NY · Hybrid

$99K - $124K/yr

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 ...

Honeywell

Data Scientist II

Lima, NY · Hybrid

$99K - $124K/yr

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 ...

Honeywell

Data Scientist II

Pittsford, NY · Hybrid

$99K - $124K/yr

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 ...

Honeywell

Data Scientist II

Pittsford, NY · Hybrid

$99K - $124K/yr

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 3rd party analytical components. You will ...

Premier Staffing Solution

Data Analyst 1

Fairport, NY · On-site

Required Education Bachelor's Degree in Data Science, Engineering, Mathematics, or related technical field (preferred) Associate's Degree in Data Science, Engineering, Mathematics, or related ...

TalentBurst, Inc.

Data Analyst 1

Fairport, NY

Required Education " Bachelor's Degree in Data Science, Engineering, Mathematics, or related technical field (preferred) " Associate's Degree in Data Science, Engineering, Mathematics, or related ...

Paychex

Data Solutions Engineer

Rochester, NY · On-site +1

$91K - $156K/yr

Work with architects, operations teams, and data scientists to define data requirements and translate them into actionable data strategies. Design, build and optimize data systems for performance ...

Mindex

Data Architect - Remote

Rochester, NY · On-site +1

$120K - $173K/yr

Experience with slowly-changing dimensions (SCDs) and entity resolution across systems * BS degree in Computer Science, Data Science, Engineering, or equivalent experience Why Join Mindex? For more ...

Pwc

AI & GenAI Data Scientist - Manager

Rochester, NY · On-site

$99K - $232K/yr

Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics ... Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ...

Mindex

Data Architect - Remote

Rochester, NY · Remote

$120K - $173K/yr

Experience with slowly-changing dimensions (SCDs) and entity resolution across systems * BS degree in Computer Science, Data Science, Engineering, or equivalent experience Why Join Mindex? For more ...

Mindex

Data Architect - Remote

Rochester, NY · Remote

$120K - $173K/yr

Experience with slowly-changing dimensions (SCDs) and entity resolution across systems * BS degree in Computer Science, Data Science, Engineering, or equivalent experience Why Join Mindex? For more ...

Mindex

Data Engineer - Remote

Rochester, NY · Remote

$90K - $140K/yr

Proficiency in Python for data processing and pipeline support * BS degree in Computer Science, Data Science, Engineering, or equivalent experience Why Join Mindex? For more than 30 years, Mindex has ...

Mindex

Data Engineer - Remote

Rochester, NY · On-site +1

$90K - $140K/yr

Proficiency in Python for data processing and pipeline support * BS degree in Computer Science, Data Science, Engineering, or equivalent experience Why Join Mindex? For more than 30 years, Mindex has ...

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All JobsData Science JobsData Science Jobs in Rochester, NY

Data Science information

See Rochester, NY salary details

$37K

$121.2K

$194K

How much do data science jobs pay per year?

As of Jun 19, 2026, the average yearly pay for data science 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 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, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

Is 40 too late for data science?

Data science is a field open to individuals of all ages, and many professionals transition into it later in their careers. Success often depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be learned through online courses, bootcamps, or degrees regardless of age.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

Is AI replacing data scientists?

AI is transforming the role of data scientists by automating routine tasks such as data cleaning and basic analysis, but it does not replace the need for skilled professionals to interpret complex data, develop models, and make strategic decisions. Data scientists with expertise in programming, statistical analysis, and machine learning remain essential for designing and deploying AI solutions effectively.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

What jobs are there in data science?

Data science offers a variety of roles including Data Scientist, Data Analyst, Machine Learning Engineer, Data Engineer, and Business Intelligence Analyst. These positions typically require skills in programming, statistics, and data visualization tools, and may involve working with large datasets, predictive modeling, and data-driven decision making.

What Does a Data Scientist Do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.

What jobs does a data scientist do?

A data scientist analyzes large datasets to extract insights, build predictive models, and support decision-making. They use programming languages like Python or R, employ statistical techniques, and often work with machine learning algorithms to solve complex problems across various industries.
More about Data Science jobs
What are the most commonly searched types of Data Science jobs in Rochester, NY? The most popular types of Data Science jobs in Rochester, NY are:
What are popular job titles related to Data Science jobs in Rochester, NY? For Data Science jobs in Rochester, NY, the most frequently searched job titles are:
What job categories do people searching Data Science jobs in Rochester, NY look for? The top searched job categories for Data Science jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Data Science jobs? Cities near Rochester, NY with the most Data Science job openings:
Data Science jobs near you
Infographic showing various Data Science job openings in Rochester, NY as of June 2026, with employment types broken down into 80% Full Time, 8% Part Time, 4% Temporary, and 8% Contract. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $121,157 per year, or $58.2 per hour.
Data Scientist II

Data Scientist II

Honeywell

West Henrietta, NY • Hybrid

$99K - $124K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Honeywell rating

8.3

Company rating: 8.3 out of 10

Based on 178 frontline employees who took The Breakroom Quiz

65th 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
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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

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