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Data Analyst Data Science Jobs in Rochester, NY (NOW HIRING)

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 ...

Data Engineer - Remote

Rochester, NY · Remote

$90K - $140K/yr

Demonstrated ability to profile and analyze source data from complex or poorly documented systems * Proficiency in Python for data processing and pipeline support * BS degree in Computer Science ...

Data Engineer - Remote

Rochester, NY · Remote

$90K - $140K/yr

Demonstrated ability to profile and analyze source data from complex or poorly documented systems * Proficiency in Python for data processing and pipeline support * BS degree in Computer Science ...

Data Engineer - Remote

Rochester, NY · On-site +1

$90K - $140K/yr

Demonstrated ability to profile and analyze source data from complex or poorly documented systems * Proficiency in Python for data processing and pipeline support * BS degree in Computer Science ...

Data Engineer - Remote

Rochester, NY · Remote

$90K - $140K/yr

Demonstrated ability to profile and analyze source data from complex or poorly documented systems * Proficiency in Python for data processing and pipeline support * BS degree in Computer Science ...

... Analytics/Science, Artificial Intelligence and Robotics - At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud ...

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

Rochester, NY

$63.25 - $81.50/hr

Evaluate emerging technologies and architectural approaches that support AI, advanced analytics ... Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field * 8+ ...

Data Solutions Engineer

Rochester, NY · On-site +1

$91K - $156K/yr

Work closely with internal teams, including data engineers, data scientists, analytics engineers and business stakeholders, to understand platform solution needs. Mentor junior engineers, providing ...

Data Architect - Remote

Rochester, NY · On-site +1

$120K - $173K/yr

... and analysis across complex, multi-domain environments * Experience with slowly-changing dimensions (SCDs) and entity resolution across systems * BS degree in Computer Science, Data Science ...

Data Architect - Remote

Rochester, NY · Remote

$120K - $173K/yr

... and analysis across complex, multi-domain environments * Experience with slowly-changing dimensions (SCDs) and entity resolution across systems * BS degree in Computer Science, Data Science ...

Data Architect - Remote

Rochester, NY · Remote

$120K - $173K/yr

... and analysis across complex, multi-domain environments * Experience with slowly-changing dimensions (SCDs) and entity resolution across systems * BS degree in Computer Science, Data Science ...

Data Governance- Manager

Rochester, NY · On-site

$99K - $232K/yr

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data ...

Profile and analyze source data from complex, multi-domain systems to identify quality issues and ... Bachelor's degree in Computer Science, Data Science, Engineering, or equivalent professional ...

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Data Analyst Data Science information

See Rochester, NY salary details

$33.5K

$81.5K

$134.2K

How much do data analyst data science jobs pay per year?

As of Jun 23, 2026, the average yearly pay for data analyst data science in Rochester, NY is $81,538.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $95,700.00 per year, depending on experience, location, and employer.

Is 40 too late for data science?

Data analysts and data scientists can start their careers at any age, including 40 or older. Success in data science depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, which can be learned at any stage of life. Many professionals transition into data roles later in their careers with dedication and continuous learning.

How do Data Analysts in Data Science typically collaborate with other departments or teams?

Data Analysts in Data Science frequently work cross-functionally, partnering with teams such as engineering, product management, marketing, and business intelligence. They translate complex data findings into actionable insights and tailor their communication to both technical and non-technical stakeholders. Regular collaboration may involve participating in meetings to understand business needs, designing dashboards for different teams, and providing data-driven recommendations to support company objectives. This collaborative environment not only enhances project outcomes but also fosters continuous learning and professional growth.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of the results come from 20% of the efforts or data. Data analysts often use this concept to focus on the most impactful variables or features during analysis and modeling to improve efficiency and accuracy.

What does a Data Analyst in Data Science do?

A Data Analyst in Data Science collects, processes, and analyzes large sets of data to help organizations make informed decisions. They use statistical techniques and data visualization tools to identify trends, patterns, and insights from data. Their responsibilities often include cleaning data, creating reports, and communicating findings to stakeholders. Data Analysts play a key role in helping businesses optimize operations, understand customer behavior, and solve complex problems using data-driven approaches.

Can data science work as a data analyst?

Data science and data analysis are related fields, but they have different focuses. Data scientists often develop models and algorithms using programming languages like Python or R, while data analysts primarily interpret data, generate reports, and use tools like Excel or SQL. Skills in statistical analysis, data visualization, and understanding business needs are essential for both roles, and some professionals transition between them based on experience and training.

What is the difference between Data Analyst Data Science vs Data Engineer?

AspectData Analyst Data ScienceData Engineer
Required SkillsStatistics, programming (Python, R), data visualizationDatabase systems, ETL pipelines, programming (Python, Java)
Work EnvironmentAnalyzing data, building models, reportingBuilding and maintaining data infrastructure
CertificationsData Science certifications, SQL, PythonCloud certifications, database management
Industry UsageBusiness analysis, predictive modelingData infrastructure, big data systems

Data Analyst Data Science focuses on analyzing data and creating models to inform decisions, while Data Engineers build the systems that collect, store, and process data. Both roles require programming skills and often overlap in tools like Python and SQL, but their core responsibilities differ significantly.

What are the key skills and qualifications needed to thrive as a Data Analyst in Data Science, and why are they important?

To thrive as a Data Analyst in Data Science, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Familiarity with tools like SQL, Python or R, and data visualization platforms such as Tableau or Power BI, along with industry-recognized certifications, is highly valued. Attention to detail, problem-solving abilities, and effective communication skills help you interpret data insights and convey findings to stakeholders. These skills are crucial for transforming raw data into actionable intelligence that drives strategic business decisions.

Is AI replacing data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. While AI tools can augment their work, human expertise remains essential for interpreting results, understanding context, and communicating findings effectively. Data analysts who develop skills in machine learning, programming, and data visualization will continue to be valuable in the evolving data science environment.
What are popular job titles related to Data Analyst Data Science jobs in Rochester, NY? For Data Analyst Data Science jobs in Rochester, NY, the most frequently searched job titles are:
What cities near Rochester, NY are hiring for Data Analyst Data Science jobs? Cities near Rochester, NY with the most Data Analyst Data Science job openings:
Infographic showing various Data Analyst Data Science job openings in Rochester, NY as of June 2026, with employment types broken down into 1% As Needed, 71% Full Time, 23% Part Time, and 5% Contract. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution, with an average salary of $81,538 per year, or $39.2 per hour.
Data Scientist II

Data Scientist II

Honeywell

Pittsford, NY • Hybrid

$99K - $124K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago


Honeywell rating

8.3

Company rating: 8.3 out of 10

Based on 178 frontline employees who took The Breakroom Quiz

64th of 519 rated manufacturers


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 3rd party analytical components. You will develop new innovative solutions, evaluate & integrate 3rd 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 3rd parties will extend the capabilities of our core product ecosystems. 

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.

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.
 

  • Participate in extending product capabilities through development and deployment of analytical systems leveraging data mining, generative AI, and ML techniques.
  • Interact with 3rd 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 3rd 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

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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