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Computer Science Environmental Jobs in Atlanta, GA

D. or Master's in Data Science, Computer Science, or a related field. • Ability to thrive in a fast-paced, high-stakes environment. • Clear communicator and effective collaborator within and ...

... Analytics, Computer Science, Applied Mathematics or Engineering, or equivalent education and ... team environment focused on supporting business partners with enhanced insights 5. Demonstrated ...

... these environments on public or private clouds. We are headquartered in Atlanta. Primary ... Bachelors degree in computer science, masters degree preferred * Travel up to 50% * 10+ years of ...

... computer science coursework and software engineering careers. * Conceptual Teaching & Problem ... Adapts instruction using interactive coding environments, visual debugging tools, and scaffolded ...

... computer science coursework and software engineering careers. * Conceptual Teaching & Problem ... Adapts instruction using interactive coding environments, visual debugging tools, and scaffolded ...

... computer science coursework and software engineering careers. * Conceptual Teaching & Problem ... Adapts instruction using interactive coding environments, visual debugging tools, and scaffolded ...

... computer science coursework and software engineering careers. * Conceptual Teaching & Problem ... Adapts instruction using interactive coding environments, visual debugging tools, and scaffolded ...

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Showing results 1-20

Computer Science Environmental information

See Atlanta, GA salary details

$39.4K

$80.9K

$118.3K

How much do computer science environmental jobs pay per year?

As of Jun 17, 2026, the average yearly pay for computer science environmental in Atlanta, GA is $80,898.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,100.00 and $94,700.00 per year, depending on experience, location, and employer.

What kinds of projects do Computer Science Environmental professionals typically work on?

Professionals in Computer Science Environmental roles commonly work on projects such as developing models to predict the impacts of climate change, creating software tools for environmental data analysis, or building systems for monitoring air and water quality. You may collaborate with environmental scientists, engineers, and policy makers to design technology-based solutions that address environmental issues. These projects often involve handling large data sets, implementing algorithms, and visualizing results for diverse audiences. This dynamic role offers the opportunity to make a tangible impact on sustainability efforts by leveraging your technical expertise in real-world applications.

How is computer science related to environmental science?

Computer science environmental roles involve developing algorithms, data analysis, and modeling tools to monitor and address environmental issues such as climate change, pollution, and resource management. Skills in programming, data visualization, and environmental data analysis are essential for these positions.

What are the key skills and qualifications needed to thrive in the Computer Science Environmental position, and why are they important?

To thrive as a Computer Science Environmental professional, you should possess a solid background in computer science, data analysis, and environmental science, often supported by a relevant degree. Familiarity with programming languages (such as Python or R), geographic information systems (GIS), climate modeling software, and environmental databases is typically required. Strong problem-solving skills, attention to detail, and collaborative communication help individuals stand out in multidisciplinary teams. These skills are vital for effectively developing, analyzing, and implementing technology-driven solutions to complex environmental challenges.

What is the highest paying job in environmental science?

In environmental science, environmental managers and directors typically have the highest salaries, often earning over $100,000 annually. These roles require strong leadership, project management skills, and often advanced degrees or certifications in environmental policy or management.

Is computer science dead due to AI?

Computer science remains a vital field for roles such as software developers, data scientists, and AI specialists. AI advances create new opportunities for innovation, requiring skills in programming, algorithms, and machine learning tools, ensuring ongoing demand for computer science expertise.

What is a Computer Science Environmental job?

A Computer Science Environmental job involves applying computer science skills to solve environmental challenges, such as climate modeling, data analysis for sustainability, or developing software for environmental monitoring. Professionals in this field work with big data, machine learning, and simulation models to assess environmental impacts and optimize resource management. They may collaborate with scientists, policymakers, and engineers to develop technology-driven solutions for conservation, pollution control, and energy efficiency.

What are 5 careers in environmental science?

Environmental science offers careers such as environmental scientist, conservation scientist, environmental engineer, wildlife biologist, and environmental policy analyst. These roles often require knowledge of ecology, data analysis, and environmental regulations, and may involve fieldwork, research, or policy development.
What are the most commonly searched types of Computer Science Environmental jobs in Atlanta, GA? The most popular types of Computer Science Environmental jobs in Atlanta, GA are:
What are popular job titles related to Computer Science Environmental jobs in Atlanta, GA? For Computer Science Environmental jobs in Atlanta, GA, the most frequently searched job titles are:
Infographic showing various Computer Science Environmental job openings in Atlanta, GA as of June 2026, with employment types broken down into 82% Full Time, 12% Part Time, 4% Contract, and 2% Nights. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $80,898 per year, or $38.9 per hour.
Data Scientist - Specialist

Data Scientist - Specialist

Equifax, Inc.

Alpharetta, GA • On-site

Full-time

Medical, Retirement, PTO

Posted 21 days ago


Equifax rating

7.8

Company rating: 7.8 out of 10

Based on 21 frontline employees who took The Breakroom Quiz


Job description

Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you.
Equifax Enterprise Innovation Office is seeking a Data Scientist who can integrate diverse big data assets into analytical solutions under management guidance to solve difficult business problems. With a strong heritage of innovation and leadership, we leverage our unique data, advanced analytics and proprietary technology to enrich the performance of businesses and the lives of consumers.
Qualified candidates will have a passion for mathematics, statistics, AI/Machine learning, data gathering, and experience in financial modeling. The ideal candidate will combine the skills to create new prototypes with the creativity and thoroughness to ask and answer the deepest questions about the data, and to push the boundaries of what is possible with big data analytics/modeling. The ideal candidate will be passionate about exploring why and how models/techniques work and has a deep desire to explain the unexplainable.
Equifax has a hybrid work schedule that allows for two days of remote work (Monday and Friday) with 3 days onsite (Tuesday thru Thursday) every week.
This role reports to our office Alpharetta, GA or our Midtown (OAC, Atlanta) office.
This position does not offer immigration sponsorship (current or future) including F-1 STEM OPT extension support.
This is a direct-hire role and is not open to C2C or vendors.
What you'll do
  • Be an integral part of the Data Science Lab team that works closely with internal clients in all phases of prototype development and deployment
  • Research innovative data solutions (in distributed cloud computing constrained and unconstrained optimization) to solve real market problems
  • Develop analytical approaches to meet business requirements; this involves translating requests into use cases, test cases, preparation of training data sets and iterative product development
  • Work with key stakeholders and understand their needs to develop advanced solutions or improve existing solutions around big data and advanced analytics
  • Remain current on new developments in AI/Machine Learning, distributed algorithms, Big Data, Predictive Analytics, and Cloud Technology
  • Utilize subject matter expertise of data structures, analytics, algorithms/models, and strong computer science fundamentals to lead data preparation, analytics, and development of deployable solutions across multiple projects
  • Collect, analyze and interpret large data assets to define and build multiple innovative solution components leveraging business and technical expertise. Lead the analytical strategy on critical technical capabilities
  • Perform as lead technical data scientist for multiple technical and business domains, collaborating with other teams to develop predictive models, risk assessments, fraud detection, recommendation engines, etc. encouraging enhanced solutions and asking questions
  • Evaluate the technical work of experienced data scientists guiding them on deliverable quality and accuracy

What experience you need
  • Master's degree or higher in Mathematics, Statistics, Data Science, Physics, Computer Science, Operations Research, Economics, Engineering or related quantitative field, PhD preferred
  • 7-10 years of experience in a related role, with experience demonstrating leadership capabilities
  • 5+ years experience applying predictive analytics and modeling to solve business problems
  • 5+ years of experience with Python, Tensorflow, SQL (strong skills and scripting experience), and Spark with advanced experience in data manipulation libraries (e.g., Pandas, Dask, Spark DataFrames)
  • Theoretical and practical understanding of algorithm time and space complexity, and a proven ability to apply this knowledge to develop efficient and scalable data science solutions
  • Excellent problem-solving skills, with the ability to navigate ambiguity and deliver results in a fast-paced environment

What could set you apart
  • 1+ years Experience managing teams of at least two employees
  • Experience with large-scale data processing in distributed environments
  • Strong communication skills of analytical results to technical and non-technical audiences alike
  • Experience working on big data platforms (e.g., Google Cloud, AWS, Snowflake, Hadoop) a plus
  • Extensive experience with NLP (Natural Language Processing), LLMs (Large Language Models) and/or Generative AI
  • Agile development including Scrum
  • Ph.D. degree in mathematics, statistics, computer science, or related quantitative field

#LI-AM2
#LI-Hybrid
We offer comprehensive compensation and healthcare packages, 401k matching, paid time off, and organizational growth potential through our online learning platform with guided career tracks.
Are you ready to power your possible? Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!
Primary Location:
USA-Atlanta JV White
USA-Atlanta-One-Atlantic-Center
Function:
Function - Data and Analytics
Schedule:
Full time

What Equifax employees say

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Benefits

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About Equifax

Sourced by ZipRecruiter

As a global data, analytics, and technology company, we play an essential role in the economy by helping companies in diverse industries such as automotive, communications, utilities, financial services, fintech, healthcare, insurance, mortgage, professional services, retail, e-commerce, and government agencies, make critical decisions with greater confidence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Atlanta, GA, US

Year founded

1899

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