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Overnight Environmental Data Scientist Jobs in New York, NY

Bachelor's degree in environmental science, geology, engineering, data science, computer science, or a related field; * 0-3 years of experience in environmental data management, environmental ...

Environmental Data Analyst

Manhattan, NY · On-site

$65K - $88.50K/yr

Bachelor's degree in environmental science, geology, engineering, data science, computer science, or a related field; * 0-3 years of experience in environmental data management, environmental ...

Environmental Data Analyst

Manhattan, NY · On-site

$65K - $88.50K/yr

Bachelor's degree in environmental science, geology, engineering, data science, computer science, or a related field; * 0-3 years of experience in environmental data management, environmental ...

Applied Physics is seeking a Data Scientist experienced with a diverse array of data types to join ... environments, data analysis algorithms, data management approaches, relational databases, or ...

Applied Physics is seeking a Data Scientist experienced with a diverse array of data types to join ... environments, data analysis algorithms, data management approaches, relational databases, or ...

Applied Physics is seeking a Data Scientist experienced with a diverse array of data types to join ... environments, data analysis algorithms, data management approaches, relational databases, or ...

... agile environment, with a focus on rapid iteration and business impact. The Data Science Lead will drive end-to-end model development, including propensity modeling and integration with data ...

Role: Data Scientist Location: Remote (US-based preferred) Type: Full-time Lumi is seeking a ... environment Health, dental, and vision insurance Unlimited PTO policy Opportunity to work with ...

We seek an experienced Data Scientist to join our Supply Chain Analytics team, developing Machine ... Experience deploying machine learning models from research environments into production ...

Data Scientist

Queens, NY · Hybrid

$78K - $80K/yr

Data Scientist Department : Data Science and Research Unit Division : Family and Child Health ... Office Environment, occasional travel for meetings within the NYC boroughs. Grant End Date: 3/31 ...

MS with + 2 years of proven experience in data science and building large scale ML models and/or systems in cloud environment. Proven scientific and hands-on background in Forecasting Time-Series ...

Data Scientist

New York, NY · On-site

$87.50K - $190K/yr

Data Scientist At Chanel, we are focused on creating an inclusive culture that nurtures personal ... Working in a highly collaborative environment * Building strong partnerships across business and ...

Data Scientist Location: Remote Duration 4-6 months The RBQM Data Scientist supports central ... trials environment (Base SAS, Macro, SAS SQL; experience with large, complex clinical datasets ...

Your Skills And Experience * 5+ years of experience in data science, analytics, or applied machine learning, ideally in operational, process, or productadjacent environments. * Bachelor's, Master ...

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Overnight Environmental Data Scientist information

See New York, NY salary details

$41K

$134.3K

$215K

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

As of May 27, 2026, the average yearly pay for overnight environmental data scientist in New York, NY is $134,280.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,800.00 and $148,800.00 per year, depending on experience, location, and employer.

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 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 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 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 New York, NY? The most popular types of Environmental Data Scientist jobs in New York, NY are:
What are popular job titles related to Overnight Environmental Data Scientist jobs in New York, NY? For Overnight Environmental Data Scientist jobs in New York, NY, the most frequently searched job titles are:
What cities near New York, NY are hiring for Overnight Environmental Data Scientist jobs? Cities near New York, NY with the most Overnight Environmental Data Scientist job openings:
Environmental Data Analyst

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Job Summary:
Langan Engineering & Environmental Services is a leading firm providing land development engineering and environmental consulting services. They are seeking an Environmental Data Analyst to support field sampling teams, manage large datasets, and develop data validation tools to ensure data quality.
Responsibilities:
• Assist with organizing, reviewing, and managing environmental analytical and field data for investigation and remediation projects;
• Support the preparation of tables, figures, and summaries for technical reports, client deliverables, and regulatory submissions;
• Work with enterprise databases and tools such as EarthSoft EQuIS, Excel, and Power BI to identify and resolve data quality issues;
• Coordinate with project teams, laboratories, data validators, and GIS staff to ensure complete and accurate datasets;
• Track and apply regulatory criteria and environmental standards (state and federal) under guidance of senior staff;
• Participate in the development and improvement of data management workflows and internal tools;
• Maintain strong attention to detail while learning industry best practices for environmental data QA/QC;
• Track and apply regulatory criteria and environmental standards (state and federal) under guidance of senior staff;
• Participate in the development and improvement of data management workflows and internal tools.Stay current with emerging industry standards and technologies related to environmental data management.
Qualifications:
Required:
• Bachelor’s degree in environmental science, geology, engineering, data science, computer science, or a related field
• 0–3 years of experience in environmental data management, environmental consulting, or a related analytical role
• Strong proficiency in Microsoft Excel
• Exposure to databases or data tools (EQuIS, SQL, Power BI) is a plus
• Familiarity with environmental sampling data, laboratory deliverables, or regulatory reporting is a plus
Company:
Langan's client-focused, highly entrepreneurial culture cultivates an environment of opportunities. Founded in 1970, the company is headquartered in Parsippany, USA, with a team of 1001-5000 employees. The company is currently Late Stage.