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

Data Operations Analyst

Rochester, NY · On-site

$47K - $74K/yr

The Data Operations Analyst is a proactive problem solver with strong communication skills ... REQUIRED o Bachelor's degree in Business Administration, Marketing, Computer Science, Information ...

Data Engineer

Rochester, NY · On-site +1

$113K - $135K/yr

Overview Source, extract, and manipulate large data sets to serve Business Analytics, Machine ... Create data tools for data scientist team members that assist them in building and optimizing ...

Overview Source, extract, and manipulate large data sets to serve Business Analytics, Machine ... Create data tools for data scientist team members that assist them in building and optimizing ...

Showing results 21-40

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 Sep 10, 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.

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.

What are the key skills and qualifications needed to thrive as a data analyst in data science?

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.

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 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 job categories do people searching Data Analyst Data Science jobs in Rochester, NY look for?

The top searched job categories for Data Analyst Data Science jobs in Rochester, NY 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 August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $81,538 per year, or $39.2 per hour.

Data Scientist - Analytics as a Service

Fairport, NY • On-site

Full-time

Re-posted 20 days ago


Job description

Data Scientist - Analytics as a Service
Position Summary
The Senior Data Scientist is responsible for developing the advanced analytics, machine learning models and AI algorithms that power Qualitrol's Analytics as a Service portfolio. Working closely with the Product Owner, Product Engineers and Data Engineer, this individual transforms industrial data into scalable analytics services that deliver measurable customer value.
Unlike a traditional research-oriented data science role, this position is expected to rapidly move algorithms from experimentation into production, continuously improving model performance through customer feedback, operational data and AI-assisted development practices. Success requires balancing scientific rigor with startup execution speed.
Primary Responsibilities
Analytics & Model Development
Develop advanced analytics for:
  • Rotating machine condition monitoring
  • Grid monitoring
  • Predictive maintenance
  • Fault detection
  • Anomaly detection
  • Asset health assessment
  • Failure prediction
  • Fleet benchmarking

Design algorithms that are accurate, explainable and production-ready.
Data Mining & Feature Engineering
Extract insights from:
  • Sensor data
  • Time-series data
  • Event logs
  • Operational history
  • Maintenance records
  • Customer operating conditions

Develop robust feature engineering pipelines to improve model accuracy and scalability.
AI & Machine Learning
Develop and optimize:
  • Machine learning models
  • Statistical models
  • Generative AI applications
  • Large Language Model integrations
  • Predictive analytics
  • Recommendation engines

Leverage AI-assisted tools to accelerate experimentation, model development and validation.
Production Deployment
Partner with Product Engineers to:
  • Deploy models into production
  • Monitor model performance
  • Improve inference accuracy
  • Reduce computational costs
  • Continuously retrain models

Ensure analytics are scalable, reliable and maintainable.
Customer Value Creation
Partner with Product Owner and Customer Success to understand customer use cases and translate them into differentiated analytics capabilities.
Use customer feedback and operational data to continuously improve algorithms and business outcomes.
Required Experience
  • Master's or Ph.D. in Data Science, Computer Science, Statistics, Applied Mathematics or related field
  • 5+ years developing machine learning or industrial analytics solutions
  • Strong Python programming experience
  • Experience with cloud-based ML environments
  • Experience deploying production AI models
  • Strong statistical and analytical skills
Preferred Experience
Experience with:
  • Industrial AI
  • Utilities
  • Rotating machinery
  • Power systems
  • Time-series analytics
  • Azure Machine Learning
  • AWS SageMaker
  • MLOps
  • LLMs and Generative AI
Success Measures
Within 12 months:
  • Multiple production analytics models deployed
  • Measurable improvement in prediction accuracy
  • Repeatable MLOps pipeline established
  • Analytics capabilities contributing to customer adoption
  • Continuous model improvement process operational

#LI-PW1
Ralliant Corporation Overview
Ralliant, originally part of Fortive, now stands as a bold, independent public company driving innovation at the forefront of precision technology. With a global footprint and a legacy of excellence, we empower engineers to bring next-generation breakthroughs to life - faster, smarter, and more reliably. Our high-performance instruments, sensors, and subsystems fuel mission-critical advancements across industries, enabling real-world impact where it matters most. At Ralliant we're building the future, together with those driven to push boundaries, solve complex problems, and leave a lasting mark on the world.
About Qualitrol
QUALITROL manufactures monitoring and protection devices for high value electrical assets and OEM manufacturing companies. Established in 1945, QUALITROL produces thousands of different types of products on demand and customized to meet our individual customers' needs. We are the largest and most trusted global leader for partial discharge monitoring, asset protection equipment and information products across power generation, transmission, and distribution. At Qualitrol, we are redefining condition-based monitoring.
We Are an Equal Opportunity Employer. Ralliant Corporation and all Ralliant Companies are proud to be equal opportunity employers. We value and encourage diversity and solicit applications from all qualified applicants without regard to race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity or expression, or other characteristics protected by law. Ralliant and all Ralliant Companies are also committed to providing reasonable accommodations for applicants with disabilities. Individuals who need a reasonable accommodation because of a disability for any part of the employment application process, please contact us at applyassistance@Ralliant.com.
Pay Range
The salary range for this position (in local currency) is 104300.00-193700.00