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Overnight Environmental Data Scientist Jobs in Tennessee

VSL Employee Co LLC

Data Scientist

Brentwood, TN · Hybrid

Work within enterprise data warehouse environments to source, transform, and structure data for ... Bachelor's degree in Data Science, Computer Science, Statistics, Biostatistics, or a related ...

Vitality Senior Living

Data Scientist

Brentwood, TN · On-site

Work within enterprise data warehouse environments to source, transform, and structure data for ... Bachelor's degree in Data Science, Computer Science, Statistics, Biostatistics, or a related ...

Fortive

Senior Data Scientist

Nashville, TN · On-site

The ability to make progress in complex, evolving environments where there isn't always a clear or ... As a Senior Data Scientist, you'll drive execution and play a vital role in building a culture of ...

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Overnight Environmental Data Scientist information

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 Tennessee? The most popular types of Environmental Data Scientist jobs in Tennessee are:
What are popular job titles related to Overnight Environmental Data Scientist jobs in Tennessee? For Overnight Environmental Data Scientist jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Overnight Environmental Data Scientist jobs in Tennessee look for? The top searched job categories for Overnight Environmental Data Scientist jobs in Tennessee are:
What cities in Tennessee are hiring for Overnight Environmental Data Scientist jobs? Cities in Tennessee with the most Overnight Environmental Data Scientist job openings:
Overnight Environmental Data Scientist jobs near you
Environmental Data Science Engineer

Environmental Data Science Engineer

Oak Ridge National Laboratory

Oak Ridge, TN • On-site

$99.30K - $119.30K/yr

Full-time

Posted 21 days ago

Oak Ridge National Laboratory rating

9.3

Company rating: 9.3 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

4th of 103 rated laboratories

Job description

Requisition Id 16401
Oak Ridge National Laboratory has multiple openings for an Environmental Data Science Engineer in Oak Ridge, TN, to apply advanced data science methods, tools, and techniques to the design, development, and implementation of data-driven solutions to help link advanced informatics and computer science to data management and distribution in Earth and Environmental sciences in support of DOE's science, energy, and national security missions. Requires a Master's Degree in Computer Science, Information Science or related field, and 1.5 years of full time, post degree experience developing scientific data management tools to manage a large volume of sensor and other sources. Experience must include: Working with frameworks such as D3.js, ExpressJS, and Node.js, Java 7/8, Spring Boot, Webservices, and Python; Developing geospatial web tools for advanced visualization and real-time data analysis; Working in a DEV/OPS research environment and a solid understanding of source control using Git or a similar version control systems; Applying big data technologies such as Cassandra, Spark, GraphQL, or others to analyze large and diverse environmental data. Also requires: Proven background in real-world computer programming applied to ecological and environmental science applications; Familiarity with High-Performance Computing (HPC); Demonstrated applied knowledge in databases such as PostgreSQL or MySQL; Demonstrable knowledge in programming languages such as Java and Python; Good communication skills in English (both oral and written); Desire to learn and adopt new tools and technologies as required by the projects; and Willingness to travel 3-4 times per year to national conferences. Occasional remote work within commuting distance is permitted. Apply via the following link: https://jobs.ornl.gov/job-invite/16401/ or email Woodysb@ornl.gov. We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment. If you have trouble applying for a position, please email ORNLRecruiting@ornl.gov. For information about our benefits, working here, and living here, visit the "About" tab at jobs.ornl.gov. Relocation package may be available.
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This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.
We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment.
ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

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