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Master Science Jobs in Stockbridge, GA (NOW HIRING)

Kaizen Analytix LLC

VP of Data Science

Atlanta, GA · On-site

Master's degree in Operations Research, Data Science, Business Analytics, Industrial Engineering, Econometrics, Computer Science, or other applied mathematical discipline, with at least 9 years of ...

Kaizen Analytix, LLC.

VP of Data Science

Atlanta, GA · On-site

$150 - $200/hr

Master's degree in Operations Research, Data Science, Business Analytics, Industrial Engineering, Econometrics, Computer Science, or other applied mathematical discipline, with at least 9 years of ...

ASRT, Inc.

Data Science & Analytics Lead

Atlanta, GA · On-site

Master's degree in Health Informatics, Data Science, Epidemiology, Statistics, Economics, or related discipline, consistent with CDC's Task 14 requirement. Preferred Education * PhD or doctoral work ...

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All JobsMaster Science JobsMaster Science Jobs in Stockbridge, GA

Master Science information

See Stockbridge, GA salary details

$10

$49

$69

How much do master science jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for master science in Stockbridge, GA is $49.48, according to ZipRecruiter salary data. Most workers in this role earn between $42.21 and $56.39 per hour, depending on experience, location, and employer.

What is a master science?

A Master Science job typically refers to a position requiring an advanced degree (Master of Science, or MSc) in a specific scientific discipline. These jobs span various fields such as engineering, healthcare, data science, and research. Holders of an MSc often work in specialized roles involving research, analysis, technical development, or teaching. Their expertise allows them to contribute to innovation, problem-solving, and advancements in their respective fields.

What are Master of Science degrees?

A Master of Science (MS or MSc) is a postgraduate academic degree awarded in fields related to science, technology, engineering, mathematics, and some social sciences. These programs typically focus on scientific, analytical, or technical subjects and emphasize research, practical skills, and theoretical knowledge. Earning an MS degree usually takes one to two years of full-time study after a bachelor's degree. Graduates often pursue careers in research, industry, or continue their education with a doctoral program.

What are some common challenges faced by master science professionals when managing interdisciplinary research projects?

Professionals in Master Science roles often oversee complex projects that require collaboration across multiple scientific disciplines. A common challenge is ensuring effective communication among team members who may have different technical backgrounds and terminologies. Additionally, balancing project timelines and coordinating data integration from various sources can be demanding. Master Science professionals must also stay updated on advances in their field to effectively guide research direction and maintain project relevancy.

What are the key skills and qualifications needed to thrive as a Master of Science graduate, and why are they important?

To thrive as a Master of Science graduate, you need advanced analytical skills, subject-specific expertise, and a relevant master's degree in your chosen field. Familiarity with specialized software, laboratory equipment, or data analysis tools—such as MATLAB, SPSS, or GIS—may be required depending on your discipline. Strong problem-solving abilities, critical thinking, and effective communication set exceptional candidates apart. These skills and qualifications are vital for tackling complex challenges, producing high-quality research, and contributing meaningfully to scientific or technical advancements.

What is the difference between Master Science vs Bachelor Science?

AspectMaster ScienceBachelor Science
Required CredentialsMaster's degree in scienceBachelor's degree in science
Work EnvironmentResearch labs, academia, industryEntry-level roles, internships, support positions
Employer & Industry UsageAdvanced research, specialized rolesFoundational roles, general positions
Common Search & ComparisonHigher qualification, specializationEntry-level, undergraduate

The main difference between Master Science and Bachelor Science lies in the level of education and expertise. A Master Science degree provides advanced knowledge and qualifies individuals for specialized roles in research and industry, while a Bachelor Science degree is typically the foundational qualification for entry-level positions. Both degrees are used across similar work environments, but the Master Science opens doors to more advanced opportunities.

What can I do with a Master of Science?

A Master of Science degree prepares individuals for advanced roles in research, data analysis, engineering, healthcare, and technology fields. Graduates often work as scientists, analysts, engineers, or project managers, utilizing skills in critical thinking, technical tools, and specialized knowledge. It can also serve as a stepping stone to doctoral programs or professional certifications.

What jobs can I do with a Master of Science?

A Master of Science degree qualifies individuals for roles such as research scientist, data analyst, laboratory manager, or technical consultant across fields like engineering, biology, computer science, and environmental science. These positions often require strong analytical skills, proficiency with specialized tools, and sometimes certifications or lab experience. Graduates can work in academia, industry, government agencies, or healthcare settings.

What job categories do people searching Master Science jobs in Stockbridge, GA look for?

The top searched job categories for Master Science jobs in Stockbridge, GA are:

What cities near Stockbridge, GA are hiring for Master Science jobs?

Cities near Stockbridge, GA with the most Master Science job openings:

Master Science jobs near you
Infographic showing various Master Science job openings in Stockbridge, GA as of August 2026, with employment types broken down into 82% Full Time, 10% Part Time, and 8% Contract. Highlights an 100% In-person job distribution, with an average salary of $102,919 per year, or $49.5 per hour.

VP of Data Science

Kaizen Analytix LLC

Atlanta, GA • On-site

Full-time

Re-posted 29 days ago

Key responsibilities

  • Coordinate multiple client analytics engagements involving custom and packaged solutions.

  • Oversee delivery teams and guide project workstream leaders to solve business problems through analytics.

  • Present insights to clients and leadership, and support sales and business development activities.

Job description

Original Post Date: 4/3/2026
VP of Data Science
Kaizen Analytix LLC, an analytics products and services company that gives clients unmatched speed to value through analytics solutions and actionable business insights, is seeking qualified candidates for a VP of Data Science. Responsibilities, capabilities for success, requirements, and the ideal candidate for this position are provided below.
Responsibilities:
Coordinate multiple client analytics engagements - consisting of both custom and packaged analytics solutions by...
  • Overseeing core delivery teams of Kaizen and non-Kaizen (clients, third parties) resources that possess business, technology, and data science skill sets
  • Guiding project workstream leaders
  • Solving business problems through excellent decision-making and innovative, strategic ideas
  • Implementing solutions in either client or Kaizen environments

Capabilities for Success:
Candidate should demonstrate an ability to...
  • Understand business context of analytics solution: Current state, problem, goals/objectives and their business value, obstacles, and impacted client constituents
  • Coordinate teams of analysts/data scientists/software engineers in performing and implementing high quality, sophisticated analysis in support of client engagements and internal projects
  • Provide thought leadership and guidance for multi-variable, complex statistical analysis and mathematical programming algorithms like linear programming, MIP, discrete optimization etc.
  • Present high-level insights to client teams (project leadership to executive-level) and Kaizen leadership
  • Facilitate and foster interaction between client and Kaizen teams
  • Supervise contributions to the KA proprietary solution library - KaizenValueAccelerators (KVAs) and suggest new capabilities in terms of mathematical models, solution frameworks, etc.
  • Provide internal Kaizen teams with thought leadership for brainstorming, developing, delivering, and testing service-oriented software or subscription offerings for targeted clients / industry verticals
  • Continously enhance working knowledge of new models and solution techniques which could be leveraged across projects, look for cross-industry applicability
  • Efficiently coordinate delivery team and client leadership (both business and technical domains) through ambiguity of business process, organization change, and detailed requirements
  • Provide industry-specific thought leadership for defining modeling and measurement techniques and utilizing mathematics, statistical methods, engineering methods, operational mathematical techniques to estimate benefits from using analytical models
  • Support sales and business development activities for both existing and new clients
  • Participate in group leadership, provide leadership for a part of the overall group including all administrative tasks required
  • Contribute to Kaizen's knowledge capital by writing articles and presenting at industry conferences

Job Requirements:
  • Education and Experience
  • Ph.D. in Operations Research, Data Science, Business Analytics, Industrial Engineering, Econometrics, Computer Science, or other applied mathematical discipline, with at least 7 years of relevant professional experience, OR
  • Master's degree in Operations Research, Data Science, Business Analytics, Industrial Engineering, Econometrics, Computer Science, or other applied mathematical discipline, with at least 9 years of relevant professional experience
  • Expertise in three or more of the following areas: math programming, probability, statistics, forecasting, machine learning, artificial intelligence, or other heuristics
  • Excellent written and verbal communication and presentation skills
  • Thorough understanding of all and a minimum of 5 years of expert level experience in four or more of the following: Python, R, SAS, SQL, GLPK, CPLEX, Gurobi, MATLAB
  • Highly proficient in all Microsoft Office applications
  • Ability to structure and analyze large data sets
  • Thorough understanding of Data Visualization tools (Tableau and Power BI preferred)
  • Through understanding of Agile project management methodology
  • Ability to travel as dictated by business needs

Apply