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Senior Python Data Analysis Jobs in Rochester, NY

Data Scientist II

Fairport, NY · Hybrid

$99K - $124K/yr

... 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 ...

Data Scientist II

Rochester, NY · Hybrid

$99K - $124K/yr

... 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 ...

Data Scientist II

East Rochester, NY · Hybrid

$99K - $124K/yr

... 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 ...

Data Scientist II

Webster, NY · Hybrid

$99K - $124K/yr

... 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 ...

Data Scientist II

Spencerport, NY · Hybrid

$99K - $124K/yr

... 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 ...

Data Scientist II

Pittsford, NY · On-site

$99K - $124K/yr

... 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 ...

Data Scientist II

Greece, NY · Hybrid

$99K - $124K/yr

... 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 ...

Data Scientist II

Palmyra, NY · Hybrid

$99K - $124K/yr

... 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 ...

Data Scientist II

Avon, NY · Hybrid

$99K - $124K/yr

... 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 ...

Data Scientist II

Rush, NY · Hybrid

$99K - $124K/yr

... 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 ...

Data Scientist II

Rochester, NY · Hybrid

$99K - $124K/yr

... 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 ...

Data Scientist II

Irondequoit, NY · Hybrid

$99K - $124K/yr

... 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 ...

Data Scientist II

Henrietta, NY · Hybrid

$99K - $124K/yr

... 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 ...

Data Scientist II

Victor, NY · Hybrid

$99K - $124K/yr

... 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 ...

Data Scientist II

Pittsford, NY · Hybrid

$99K - $124K/yr

... 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 ...

Data Scientist II

Lima, NY · Hybrid

$99K - $124K/yr

... 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 ...

Data Scientist II

Scottsville, NY · Hybrid

$99K - $124K/yr

... 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 ...

Data Scientist II

West Henrietta, NY · Hybrid

$99K - $124K/yr

... 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 ...

Data Scientist II

Pittsford, NY · Hybrid

$99K - $124K/yr

... 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 ...

Data Scientist II

Pittsford, NY · Hybrid

$99K - $124K/yr

... 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 ...

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Showing results 1-20

Senior Python Data Analysis information

See Rochester, NY salary details

$54.3K

$140.1K

$192.4K

How much do senior python data analysis jobs pay per year?

As of Jun 18, 2026, the average yearly pay for senior python data analysis in Rochester, NY is $140,083.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,900.00 and $161,300.00 per year, depending on experience, location, and employer.

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

To thrive as a Senior Python Data Analyst, you need an in-depth understanding of data analysis, statistical modeling, and advanced Python programming, typically supported by a degree in a quantitative field. Proficiency with data analysis libraries (like pandas, NumPy, and SciPy), visualization tools (such as Matplotlib and Seaborn), and experience with SQL databases are essential, and certifications like Microsoft Certified: Data Analyst Associate can be beneficial. Strong problem-solving abilities, effective communication, and the capacity to distill complex data insights for stakeholders are critical soft skills. These competencies enable you to extract actionable insights from large datasets, drive data-informed decision-making, and collaborate effectively across teams.

What is the difference between Senior Python Data Analysis vs Data Scientist?

AspectSenior Python Data AnalysisData Scientist
Required SkillsPython, SQL, data visualization, statistical analysisPython, R, machine learning, statistical modeling
Work EnvironmentData analysis teams, business unitsResearch, product development, analytics teams
Industry UsageBusiness intelligence, finance, marketingTech, healthcare, finance, research
CertificationsPython certifications, data analysis coursesData science certifications, machine learning courses

While both roles involve Python and data handling, Senior Python Data Analysts focus on interpreting data and creating reports for business decisions, whereas Data Scientists develop predictive models and advanced algorithms to extract deeper insights. The roles often overlap, but Data Scientists typically require broader skills in machine learning and statistical modeling.

What are some common challenges Senior Python Data Analysts face when working with large datasets, and how can they overcome them?

Senior Python Data Analysts often encounter difficulties such as slow processing speeds, memory limitations, and data quality issues when handling large datasets. To overcome these challenges, it's essential to leverage efficient libraries like pandas and Dask, utilize optimized data formats (such as Parquet), and implement batch processing or cloud-based solutions. Collaborating closely with data engineers and IT teams also helps ensure robust data pipelines and infrastructure. Regular code optimization and staying updated on best practices can further enhance performance when working at scale.

What is a Senior Python Data Analyst?

A Senior Python Data Analyst is an experienced professional who uses Python programming to collect, process, and analyze large sets of data. They are responsible for extracting meaningful insights from data to support business decisions, often using libraries like pandas, NumPy, and matplotlib. In addition to technical skills, they also apply statistical analysis and data visualization techniques, and frequently mentor junior analysts or collaborate with data scientists and engineers. Their role may also involve developing automated data pipelines and ensuring data quality across projects.
What are the most commonly searched types of Python Data Analysis jobs in Rochester, NY? The most popular types of Python Data Analysis jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Senior Python Data Analysis jobs? Cities near Rochester, NY with the most Senior Python Data Analysis job openings:
Infographic showing various Senior Python Data Analysis job openings in Rochester, NY as of June 2026, with employment types broken down into 100% Full Time. Highlights an 74% In-person, and 26% Hybrid job distribution, with an average salary of $140,083 per year, or $67.3 per hour.
Data Scientist II

Data Scientist II

Honeywell

Fairport, NY • Hybrid

$99K - $124K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago


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
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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Pay

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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