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Entry Level Environmental Data Scientist Jobs in Rochester, NY

Kiongroup

Operational Data Scientist

Henrietta, NY · On-site

We are looking for a Data Scientist to join our Operational Intelligence team, growing data and ... Work within a modern cloud-based data platform environment (including Databricks) to access ...

New

Kiongroup

Operational Data Scientist

Henrietta, NY · On-site

We are looking for a Data Scientist to join our Operational Intelligence team, growing data and ... Work within a modern cloud-based data platform environment (including Databricks) to access ...

New

TES Staffing

Be Seen First

Entry Level Lab Technician (Environmental lab)- Second shift

Henrietta, NY · On-site

$18/hr

... environmental testing laboratory to hire an Entry-Level Laboratory Technician . This is an ... You'll receive hands-on training, work alongside experienced scientists, and gain valuable ...

Bausch + Lomb

Scientist I

Rochester, NY · On-site

... data. • Support extractables and leachables studies for medical devices, including sample ... environment and follow applicable company laboratory, safety, documentation, and quality procedures ...

Integrated Resources INC

Scientist

Rochester, NY · On-site

... team environment working on developing a new assay for our VITROS analyzer systems. You will ... Good understanding of basic algebra, basic statistics, and basic laboratory data evaluation ...

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All JobsEnvironmental Data Scientist JobsEntry Level Environmental Data Scientist JobsEntry Level Environmental Data Scientist Jobs in Rochester, NY

Entry Level Environmental Data Scientist information

See Rochester, NY salary details

$40.5K

$83K

$121.4K

How much do entry level environmental data scientist jobs pay per year?

As of Aug 13, 2026, the average yearly pay for entry level environmental data scientist in Rochester, NY is $83,002.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,000.00 and $97,200.00 per year, depending on experience, location, and employer.

What is the difference between Entry Level Environmental Data Scientist vs Entry Level Environmental Analyst?

AspectEntry Level Environmental Data ScientistEntry Level Environmental Analyst
Required CredentialsBachelor's in Environmental Science, Data Science, or related field; some roles may prefer certifications in data analysis or GISBachelor's in Environmental Science, Environmental Management, or related field; certifications in environmental regulations or GIS are common
Work EnvironmentData-focused roles often in labs, research institutions, or corporate sustainability teamsFieldwork, data collection, and reporting in government agencies, consulting firms, or NGOs
Employer & Industry UsageUsed in research, corporate sustainability, and environmental consultingCommon in government agencies, environmental consulting, and non-profit organizations

While both roles require a background in environmental sciences, the Environmental Data Scientist focuses more on data analysis, modeling, and programming, whereas the Environmental Analyst emphasizes data collection, reporting, and regulatory compliance. Understanding these differences helps job seekers target the right roles based on their skills and career goals.

What does an entry level environmental data scientist do?

An Entry Level Environmental Data Scientist collects, analyzes, and interprets environmental data such as air, water, and soil quality. They use statistical methods and programming tools to help identify patterns and trends, supporting research and policy decisions. Often, they work under the guidance of senior scientists to prepare reports, visualize data, and ensure data quality. Their work helps organizations understand environmental impacts and develop solutions for sustainability.

What types of projects and data sets do entry level environmental data scientists typically work with?

As an entry-level environmental data scientist, you will often work with diverse data sets such as air and water quality measurements, climate records, satellite imagery, and GIS data. Projects can include analyzing trends in pollution, modeling the effects of environmental policies, or creating data visualizations to support sustainability initiatives. You’ll collaborate closely with environmental engineers, researchers, and policy teams, often participating in both data cleaning and preliminary analysis before results are shared with stakeholders. This variety provides valuable exposure to real-world environmental issues and lays a solid foundation for career growth.

What are the key skills and qualifications needed to thrive as an entry level environmental data scientist?

To thrive as an Entry Level Environmental Data Scientist, you need a background in environmental science or a related field, along with strong skills in data analysis and statistics. Familiarity with programming languages like Python or R, experience with GIS software, and knowledge of data visualization tools are typically required. Analytical thinking, attention to detail, and effective communication are valuable soft skills that help in interpreting and sharing complex findings. These competencies are crucial for generating reliable insights and informing environmental decision-making within organizations.

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 Entry Level Environmental Data Scientist jobs in Rochester, NY?

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

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

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

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

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

Entry Level Environmental Data Scientist jobs near you
Infographic showing various Entry Level 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 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $83,002 per year, or $39.9 per hour.

Operational Data Scientist

Kiongroup

Henrietta, NY • On-site

Full-time

Posted 2 days ago

New

Job description

We are looking for a Data Scientist to join our Operational Intelligence team, growing data and analytics capability at an exciting time as this is an opportunity to help shape a modern analytics practice within an established enterprise. You will work at the intersection of advanced analytics, machine learning, and business problem-solving, turning complex datasets into actionable insights that directly influence strategy and performance.
You will partner closely with business stakeholders across functions to understand their challenges, design analytical solutions, and communicate findings in ways that drive real outcomes. This is a high-impact, hands-on role suited for someone who is as comfortable building and deploying models as they are presenting insights to non-technical audiences.We offer:

Key Responsibilities

  • Develop, validate, and deploy machine learning and statistical models to support operational decision-making

  • Collaborate with business partners to frame problems, identify data needs, and translate analytical outputs into actionable recommendations

  • Work within a modern cloud-based data platform environment (including Databricks) to access, transform, and analyze data at scale

  • Contribute to the development of repeatable analytical frameworks, pipelines, and best practices as the team matures

  • Ensure data quality and discoverability across the analytics environment

  • Communicate complex findings clearly to both technical peers and non-technical stakeholders

  • Help build a data-driven culture by demonstrating the value of analytics through practical, high-visibility work

Tasks and Qualifications:

Skills & Capabilities

  • Proficiency in Python and/or R, with strong SQL skills for data access and manipulation

  • Demonstrated experience building and deploying ML models (regression, classification, clustering, forecasting)

  • Experience with cloud-based data platforms; familiarity with Databricks or similar tools (e.g., Snowflake, Azure ML) is a plus

  • Comfort working with large-scale distributed data in a cloud environment (Azure, AWS, or GCP)

  • Strong communication skills with the ability to translate analytical work into business impact

  • A self-starter mindset that is comfortable with some ambiguity and energized by the chance to build something meaningful

  • A collaborative, intellectually curious approach with a bias toward practical application over theoretical elegance

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