Data Scientist - Career
Atlanta, GA · On-site
Qualified candidates will have a passion for mathematics, statistics, AI/Machine learning, data ... What You'll Do: - Be an integral part of the Data Science Lab team that works closely with internal ...
Data Scientist - Career
Atlanta, GA · On-site
Qualified candidates will have a passion for mathematics, statistics, AI/Machine learning, data ... What You'll Do: - Be an integral part of the Data Science Lab team that works closely with internal ...
Lecturer/Assistant Professor of Nursing (Tenure Track) - Mountain Campus
Atlanta, GA · On-site
$65K/yr
... III HSI STEM Grant program that benefit all students. Our mission and values undergird our ... Willingness to accommodate a variety of learning styles and use applied learning approaches.
Lecturer/Assistant Professor of Nursing (Tenure Track) - Mountain Campus
Atlanta, GA · On-site
$65K/yr
... III HSI STEM Grant program that benefit all students. Our mission and values undergird our ... Willingness to accommodate a variety of learning styles and use applied learning approaches.
Access to a plethora of learning resources for technical expertise and chemical acumen * No-meeting ... lab or the field, consider joining our team. Solenis is proud to be an Equal Opportunity ...
Access to a plethora of learning resources for technical expertise and chemical acumen * No-meeting ... lab or the field, consider joining our team. Solenis is proud to be an Equal Opportunity ...
Stem Learning Lab information
See Georgia salary details
$8.12 - $10.85
1% of jobs
$10.85 - $13.58
4% of jobs
$16.02 is the 25th percentile. Wages below this are outliers.
$13.58 - $16.31
22% of jobs
The median wage is $18.98 / hr.
$16.31 - $19.04
23% of jobs
$19.04 - $21.77
23% of jobs
$22.15 is the 75th percentile. Wages above this are outliers.
$21.77 - $24.51
9% of jobs
$24.51 - $27.24
8% of jobs
$27.24 - $29.97
4% of jobs
$29.97 - $32.70
2% of jobs
$32.70 - $35.43
1% of jobs
$35.43 - $38.16
1% of jobs
$8
$21
$38
How much do stem learning lab jobs pay per hour?
As of Jul 2, 2026, the average hourly pay for stem learning lab in Georgia is $21.32, according to ZipRecruiter salary data. Most workers in this role earn between $16.25 and $23.56 per hour, depending on experience, location, and employer.
What collaborative opportunities can I expect as a team member in a STEM Learning Lab?
Working in a STEM Learning Lab typically involves close collaboration with educators, researchers, and sometimes industry partners to design and deliver hands-on learning experiences. You’ll often work in interdisciplinary teams to develop curriculum, organize workshops, and support student projects, which fosters both creativity and knowledge sharing. This environment encourages open communication, regular feedback, and opportunities to contribute to innovative educational initiatives. Active participation in team meetings and joint planning sessions is a core aspect of the role.
What is a Stem Learning Lab?
A STEM Learning Lab is a dedicated space or program designed to engage students in hands-on learning experiences in the fields of Science, Technology, Engineering, and Mathematics (STEM). These labs offer interactive activities, experiments, and projects that help students develop problem-solving skills, critical thinking, and creativity. STEM Learning Labs can be found in schools, community centers, or as part of specialized educational programs, and are aimed at fostering interest and proficiency in STEM subjects.
What is the difference between Stem Learning Lab vs STEM Educator?
| Aspect | Stem Learning Lab | STEM Educator |
|---|---|---|
| Required Credentials | Typically a degree in education, STEM field, or related certification | Degree in education, STEM subject expertise, teaching certification |
| Work Environment | Educational settings, labs, workshops, after-school programs | Classrooms, schools, educational institutions |
| Employer & Industry Usage | Educational organizations, STEM programs, non-profits | Schools, educational institutions, government programs |
| Search & Comparison Intent | Understanding roles in STEM education programs | Career options, job responsibilities in STEM teaching |
Stem Learning Lab generally refers to a program or facility offering hands-on STEM activities, often led by facilitators or instructors. A STEM Educator is a professional who teaches STEM subjects in schools or educational settings. While both roles focus on STEM education, the Lab emphasizes program facilitation and hands-on learning, whereas the Educator is primarily responsible for classroom instruction and curriculum delivery.
What are the key skills and qualifications needed to thrive as a STEM Learning Lab Instructor, and why are they important?
To thrive as a STEM Learning Lab Instructor, you need a solid background in science, technology, engineering, or mathematics, often supported by a relevant degree and teaching experience. Familiarity with educational software, lab equipment, coding platforms, and STEM curricula is typically required. Strong communication, creativity, and classroom management skills help engage students and foster a positive learning environment. These abilities ensure effective instruction, hands-on learning, and the development of critical thinking skills in students.
What are popular job titles related to Stem Learning Lab jobs in Georgia? For Stem Learning Lab jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Stem Learning Lab jobs in Georgia look for? The top searched job categories for Stem Learning Lab jobs in Georgia are:
Full-time
Medical, Retirement, PTO
Posted 24 days ago
Equifax rating
7.6
Based on 25 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.
Job Summary
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
- Utilize combined knowledge of data structures, analytics, algorithms/models, and strong computer science fundamentals to independently prepare datasets, conduct analytics, and develop deployable solutions
- Work on high complexity tasks in problems often within multiple business or analytical domains. Lead the development or projects with multiple deliverables leveraging business and technical expertise
- Able to analyze and prepare complex and new data sources and incorporate them into analytical solutions. Engineer new features for use in solutions. Manage data storage in an analytical environment
- Design code and solutions with guidance from management. Contributes to standard code repository, applies efficient coding best practices and improves the coding of others
- Develop complex models and algorithms, understand performance and business implications of models
- Package, summarize, visualize and perform storytelling on analytical findings and results for management and business users
- Contribute to knowledge sharing sessions with the broader data science teams or departments
- Remain current on new developments in AI/Machine Learning, distributed algorithms, Big Data, Predictive Analytics, and Cloud Technology
What experience you'll Need:
- Master's degree or higher in Mathematics, Statistics, Data Science, Physics, Computer Science, Operations Research, Economics, Engineering or related quantitative field, PhD preferred
- 5-7 years experience applying predictive analytics and modeling to solve business problems
- 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:
- Experience of evaluating the technical work of peer data scientists
- 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
- 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
Function:
Function - Data and Analytics
Schedule:
Full time
Job Summary
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
- Utilize combined knowledge of data structures, analytics, algorithms/models, and strong computer science fundamentals to independently prepare datasets, conduct analytics, and develop deployable solutions
- Work on high complexity tasks in problems often within multiple business or analytical domains. Lead the development or projects with multiple deliverables leveraging business and technical expertise
- Able to analyze and prepare complex and new data sources and incorporate them into analytical solutions. Engineer new features for use in solutions. Manage data storage in an analytical environment
- Design code and solutions with guidance from management. Contributes to standard code repository, applies efficient coding best practices and improves the coding of others
- Develop complex models and algorithms, understand performance and business implications of models
- Package, summarize, visualize and perform storytelling on analytical findings and results for management and business users
- Contribute to knowledge sharing sessions with the broader data science teams or departments
- Remain current on new developments in AI/Machine Learning, distributed algorithms, Big Data, Predictive Analytics, and Cloud Technology
What experience you'll Need:
- Master's degree or higher in Mathematics, Statistics, Data Science, Physics, Computer Science, Operations Research, Economics, Engineering or related quantitative field, PhD preferred
- 5-7 years experience applying predictive analytics and modeling to solve business problems
- 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:
- Experience of evaluating the technical work of peer data scientists
- 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
- 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
Function:
Function - Data and Analytics
Schedule:
Full time
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