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Overnight Environmental Data Scientist Jobs in Rochester, NY

IDEX

Data Analyst, Finance

West Henrietta, NY · On-site +1

... an environment where you can make an impact. With interesting opportunities in engineering ... Remote Who is IDEX Health & Science (IH&S)? As a business unit of IDEX Corporation, IH&S has a long ...

Novocure

Data Architect

Rochester, NY

$63.25 - $81.50/hr

... environments into a cohesive enterprise ecosystem. Your work will help establish trusted data ... Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field * 8+ ...

Novocure Inc

Data Architect

Rochester, NY · On-site

$63 - $81/hr

... environments into a cohesive enterprise ecosystem. Your work will help establish trusted data ... Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field * 8+ ...

MegazoneCloud Global

Data Engineer

Rochester, NY · On-site

$113K - $135K/yr

Master our data environment, leveraging Databricks and/or Snowflake to wrangle, transform, and ... Work as a "force multiplier" within our cross-functional teams, partnering with data science ...

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All JobsEnvironmental Data Scientist JobsOvernight Environmental Data Scientist JobsOvernight Environmental Data Scientist Jobs in Rochester, NY

Overnight Environmental Data Scientist information

See Rochester, NY salary details

$37K

$121.1K

$193.9K

How much do overnight environmental data scientist jobs pay per year?

As of Aug 31, 2026, the average yearly pay for overnight environmental data scientist in Rochester, NY is $121,102.00, 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 does an overnight environmental data scientist do?

An Overnight Environmental Data Scientist is responsible for analyzing environmental data, such as air quality, water quality, and weather patterns, during overnight hours to ensure timely reporting and response. They use statistical methods, programming, and specialized software to process large datasets collected from sensors and other monitoring devices. Their work helps organizations and agencies make data-driven decisions about environmental policies, compliance, and emergency responses. Overnight shifts are often required to provide continuous data monitoring and immediate analysis in case of environmental incidents.

What are some unique challenges faced by overnight environmental data scientists, and how can they be managed?

Overnight Environmental Data Scientists often work outside typical business hours, which can pose challenges such as limited real-time collaboration with day-shift colleagues and adjusting to an atypical sleep schedule. Managing these challenges involves strong communication skills, effective handover processes, and utilizing collaboration tools to ensure continuity across shifts. Additionally, overnight roles may involve real-time monitoring of environmental data streams and responding quickly to anomalies, making it important to stay alert and maintain a proactive approach to data quality and reporting.

What are the key skills and qualifications needed to thrive as an overnight environmental data scientist, and why are they important?

To excel as an Overnight Environmental Data Scientist, you need strong analytical skills, proficiency in environmental science concepts, and a degree in a relevant field such as environmental science, data science, or statistics. Familiarity with programming languages like Python or R, GIS software, and experience with data visualization and analysis tools are typically required, along with certifications such as Certified Data Scientist or GIS Professional. Excellent problem-solving, attention to detail, and effective communication are crucial soft skills for interpreting complex data and collaborating with remote or cross-functional teams. These skills are essential for accurately monitoring environmental trends, supporting real-time decision-making, and ensuring data-driven insights are delivered efficiently—especially during overnight shifts when independent work is critical.

What is the difference between Overnight Environmental Data Scientist vs Environmental Data Analyst?

AspectOvernight Environmental Data ScientistEnvironmental Data Analyst
CredentialsBachelor's or Master's in Environmental Science, Data Science, or related fields; proficiency in programming and statistical toolsBachelor's or Master's in Environmental Science, Data Analysis, or related fields; strong analytical skills
Work EnvironmentTypically in research labs, field sites, or data centers, often during overnight shiftsOffice settings, fieldwork, or remote analysis during regular hours
Employer & Industry UsageEnvironmental agencies, research institutions, and consulting firmsGovernment agencies, environmental consultancies, and private firms

The main difference is that Overnight Environmental Data Scientists focus on advanced data modeling and analysis during overnight shifts, often requiring programming skills and scientific expertise. Environmental Data Analysts typically handle data interpretation during regular hours, focusing on reporting and basic analysis. Both roles are vital in environmental sectors but differ mainly in scope, work hours, and technical depth.

What are the most commonly searched types of Environmental Data Scientist jobs in Rochester, NY?

The most popular types of Environmental Data Scientist jobs in Rochester, NY are:

What are popular job titles related to Overnight Environmental Data Scientist jobs in Rochester, NY?

For Overnight Environmental Data Scientist jobs in Rochester, NY, the most frequently searched job titles are:

What job categories do people searching Overnight Environmental Data Scientist jobs in Rochester, NY look for?

The top searched job categories for Overnight Environmental Data Scientist jobs in Rochester, NY are:

What cities near Rochester, NY are hiring for Overnight Environmental Data Scientist jobs?

Cities near Rochester, NY with the most Overnight Environmental Data Scientist job openings:

Overnight Environmental Data Scientist jobs near you
Infographic showing various Overnight Environmental Data Scientist 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 $121,102 per year, or $58.2 per hour.

Data Scientist - Analytics as a Service

Fairport, NY • On-site

Ralliant
See more jobs at Ralliantexternal

Full-time

Re-posted 10 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

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