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Evening Environmental Data Scientist Jobs (NOW HIRING)

JARBO

Environmental Data Technician

Bridgeton, MO

$24 - $32/hr

Degrees with a strong emphasis in mathematics, statistics, physical sciences, environmental science, or data analysis will also be considered. * Strong mathematical, analytical, and problem-solving ...

VTG

Data Scientist with Security Clearance

Chantilly, VA · On-site

$105K - $215K/yr

... delivery environments Data Scientist III * Bachelor's degree in Data Science, Statistics ... Mathematics, Computer Science, or related field * 10+ years of experience in data analytics or data ...

US Department of Commerce

Data Scientist

Greenbelt, MD · On-site

$147K/yr

... National Environmental Satellite, Data, and Information Service (NESDIS), National Centers for ... Mathematics, statistics, computer science, data science or field directly related to the position.

US Department of Commerce

Data Scientist

Madison, WI · On-site

$147K/yr

... National Environmental Satellite, Data, and Information Service (NESDIS), National Centers for ... Mathematics, statistics, computer science, data science or field directly related to the position.

US Department of Commerce

Data Scientist

Asheville, NC · On-site

$147K/yr

... National Environmental Satellite, Data, and Information Service (NESDIS), National Centers for ... Mathematics, statistics, computer science, data science or field directly related to the position.

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Evening Environmental Data Scientist information

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

As of Aug 11, 2026, the average yearly pay for evening environmental data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by an evening environmental data scientist, and how can they be effectively managed?

Evening Environmental Data Scientists often work with time-sensitive datasets, such as air and water quality measurements, that require timely analysis to support regulatory compliance or emergency response. One common challenge is collaborating with colleagues who primarily work daytime hours, which can make communication and data handoff more complex. To manage this, many teams use detailed documentation, handover protocols, and asynchronous communication tools to ensure seamless workflow continuity. Additionally, working non-traditional hours may require strong self-motivation and effective time management to balance workloads and maintain work-life balance.

What does an evening environmental data scientist do?

An Evening Environmental Data Scientist analyzes environmental data, such as air and water quality measurements, during evening shifts to monitor, interpret, and report on environmental conditions. They use statistical and computational tools to process large datasets, develop models, and identify trends or anomalies that may need immediate attention. Their work often supports environmental compliance, research, and decision-making by providing actionable insights from data collected outside standard business hours. This role may also involve collaborating with other scientists or agencies to ensure timely and accurate data analysis.

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

To thrive as an Evening Environmental Data Scientist, you need a strong background in environmental science, statistics, and data analysis, typically supported by a relevant degree such as environmental science, data science, or a related field. Familiarity with data analysis software like Python, R, SQL, and GIS tools, as well as experience managing large datasets, is essential, and certifications in data analytics or environmental management can be advantageous. Excellent problem-solving skills, attention to detail, and the ability to communicate complex findings clearly are crucial soft skills for collaborating with stakeholders and producing actionable insights. These competencies are vital for interpreting environmental data accurately, informing policy or operational decisions, and supporting sustainability initiatives, especially during non-standard working hours.
What cities are hiring for Evening Environmental Data Scientist jobs? Cities with the most Evening Environmental Data Scientist job openings:
What are the most commonly searched types of Environmental Data Scientist jobs? The most popular types of Environmental Data Scientist jobs are:
What states have the most Evening Environmental Data Scientist jobs? States with the most job openings for Evening Environmental Data Scientist jobs include:
Evening Environmental Data Scientist jobs near you

Data Scientist

Global Lending Services

Greenville, SC

Full-time

Re-posted 19 days ago

Global Lending Services rating

7.5

Company rating: 7.5 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

Job description

Why GLS?

Purpose: Access to affordable, reliable transportation is essential to leading productive work and personal lives, caring well for oneself, one’s family, and the needs of others. Through advanced analytics and technology, we can more accurately predict credit risk and provide more people with an affordable auto financing option for their next vehicle. That’s what GLS has done for over 10 years, helping more than half a million families meet and improve their transportation needs. 

People: Join a culture of over 1,000 employees who Care Deeply and Think Boldly, driving innovation in an adaptive and positive culture that celebrates successes. We empower and reward individuals and teams who make direct, positive impacts to the business and each other, who take pride in their work and are ever-raising the bar. 

Growth: Recognized by Inc 5000 as one of the fastest-growing private companies in America. Join GLS to grow with us!

Benefits: GLS offers the below great benefits for your amazing work!
o   Competitive base pay and performance bonuses, dependent on role
o   Medical, dental, vision, telemedicine, supplemental insurance benefits, long-term and short-term disability
o   401K with employer match and 100% immediate vesting
o   Paid Time Off (PTO) and paid company holidays to help you balance work and personal life
o   Paid Volunteer Time Off (VTO) Annually
o   Tuition Reimbursement
o   Parental Leave
o   Business casual work environment

***This posting is to enter our campus recruiting and entry-level process for position offers being made for May 2026***
 
What does it mean to be a Data Scientist  at GLS?
GLS relies heavily on Data Science and Decision Science to power automated, intelligent decision-making that strengthens dealer partnerships and enables us to offer affordable lending solutions to consumers. As a Data Scientist at GLS, you will play a vital role in addressing critical business challenges by applying your strong critical thinking, academic expertise, and ability to quickly master new concepts and domains, transforming knowledge into practical solutions.
How will you drive value within the organization as a Data Scientist?
  • Understanding business problems and needs to design effective data science solutions
  • Gathering data from various sources, cleaning it appropriately, and visualizing it to identify anomalies and patterns
  • Developing robust predictive models using suitable modeling techniques
  • Generating insights and crafting a cohesive narrative from the data, summarizing analytical results, and presenting them to stakeholders
  • Collaborating with business partners to translate models into actionable business strategies
  • Working with IT to implement models into IT platforms for automated decision-making
  • Monitoring model performance to ensure effectiveness and validity
  • Continuously learning new technologies and refining skills daily
What should you already know to be successful as a Data Scientist?
  • Strong foundational knowledge in statistics, data science, and machine learning, including techniques such as multivariate regression, decision trees, stochastic gradient boosting, and deep learning
  • Proficiency in programming and working with open-source AI/ML languages and tools, including but not limited to SQL, Python, R, scikit-learn, statsmodels, XGBoost, and LightGBM
  • Proven experience in managing and analyzing large datasets
  • Excellent written and verbal communication skills, with the ability to convey complex ideas in a clear, business-oriented, and user-friendly manner
  • Self-motivated with a demonstrated ability to take initiative, identify opportunities for improvement, make actionable recommendations, and see them through to implementation while assessing their effectiveness
  • Outstanding interpersonal skills: approachable, tactful, and capable of influencing others, resolving conflicts, exercising sound judgment, maintaining confidentiality, and collaborating with all levels of the organization to build strong cross-functional partnerships
Employment Requirements:
  • This is an exempt level position whereby business need will dictate the exact work schedule which should be expected to vary at times. Generally, the days and hours of work are Monday through Friday, 8:30am-5:30pm
  • Regular, predictable attendance is required, including in excess of 40 hours per week as business demands dictate
  • Evening and weekend work may be required as job duties demand
  • The position does not require travel
  • Significant portions of daily assignments involve application of manual skills requiring motor coordination in combination with finger dexterity
  • Remain in a stationary position up to 100% of the workday
  • Be able to perform activities such as: viewing a computer terminal, extensive reading, bending, and kneeling
2023 California Applicant Privacy Notice
GLS participates in the E-Verify program to confirm the employment eligibility of all newly hired employees
Please visit www.glsauto.com for information about our great company and other amazing opportunities

 
Applicants have rights under Federal Employment Laws
Family and Medical Leave Act (FMLA) 
Equal Employment Opportunity (EEO) 
Employee Polygraph Protection Act (EPPA) 

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