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Math Phd Salary Jobs in Decatur, GA (NOW HIRING)

Master's or PhD in Computer Science, Statistics, Mathematics, Engineering, or a related field ... York, the base salary range is $210,000-$280,000 and the position is eligible for a bonus in ...

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Math Phd Salary information

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How much do math phd salary jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for math phd salary in Decatur, GA is $27.13, according to ZipRecruiter salary data. Most workers in this role earn between $18.32 and $28.65 per hour, depending on experience, location, and employer.

What is the average salary for someone with a Math PhD?

The average salary for individuals with a Math PhD can vary widely depending on their career path. Academic positions, such as assistant professors at universities, typically start around $60,000 to $90,000 per year, while tenured professors can earn significantly more. In industry roles, such as data science, finance, or technology, Math PhDs can earn starting salaries ranging from $90,000 to $130,000 or higher, depending on the sector and location. Salaries tend to increase with experience, expertise, and the specific demands of the job.

What are the key skills and qualifications needed to thrive as a mathematics PhD holder, and why are they important?

To thrive as a Mathematics PhD holder, you need deep expertise in mathematical theory, advanced problem-solving skills, and a doctoral degree in mathematics or a closely related field. Familiarity with statistical analysis software, programming languages (such as Python or MATLAB), and research publication systems is often required. Exceptional analytical thinking, collaboration, and clear communication skills set top candidates apart. These abilities are crucial for producing innovative research, effectively sharing complex ideas, and contributing to interdisciplinary teams in academia, industry, or government.

What career paths are commonly available to individuals with a math PhD, and how do these impact potential salary growth over time?

Individuals with a Math PhD have a wide range of career opportunities, including academia, research, finance, data science, and technology sectors. Those who pursue academic roles may start as postdoctoral researchers or assistant professors, with salaries growing as they advance to tenured positions. In industry roles such as quantitative analyst or data scientist, salaries are often higher and tend to increase rapidly with experience and specialization. Additionally, working in government research labs or private R&D can provide stable career progression and competitive compensation. Salary growth is closely tied to sector, geographic location, and the individual's ability to leverage specialized expertise.

What is the difference between Math Phd Salary vs Data Scientist Salary?

AspectMath Phd SalaryData Scientist Salary
Required credentialsMath PhD, advanced quantitative skillsBachelor's or Master's in CS, Stats, or related field; often a PhD preferred
Work environmentResearch institutions, academia, government labsTech companies, finance, consulting firms
Industry usageAcademic research, government projects, specialized industriesTechnology, finance, healthcare, retail
Common search intentSalary comparison, career prospects, job roles

While Math PhDs often focus on research and theoretical work, Data Scientists typically work in applied settings analyzing data to inform business decisions. Salaries can overlap, but Data Scientists tend to have higher starting salaries due to industry demand and practical skills.

Are math PhDs in demand?

Math PhDs are in demand in fields such as data science, finance, academia, and research institutions, where advanced analytical and problem-solving skills are valued. Employment opportunities often require strong quantitative skills, programming knowledge, and research experience, with demand driven by data-driven decision-making and technological advancements.

What jobs can I get with a math PhD?

A math PhD qualifies individuals for roles such as data scientist, quantitative analyst, research scientist, operations researcher, and university professor. These positions often require strong analytical, statistical, and programming skills, with common tools including Python, R, and MATLAB.

What job categories do people searching Math Phd Salary jobs in Decatur, GA look for?

The top searched job categories for Math Phd Salary jobs in Decatur, GA are:

What cities near Decatur, GA are hiring for Math Phd Salary jobs?

Cities near Decatur, GA with the most Math Phd Salary job openings:

Infographic showing various Math Phd Salary job openings in Decatur, GA as of August 2026, with employment types broken down into 87% Full Time, 10% Part Time, and 3% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $56,430 per year, or $27.1 per hour.

Operations Research Specialist - QuantumBlack Labs

Atlanta, GA • On-site

McKinsey & Company, Inc.
Business Management Consulting • 10K+ employees

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 9 days ago


McKinsey & Company rating

8.5

Company rating: 8.5 out of 10

Based on 22 frontline employees who took The Breakroom Quiz


Job description

Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You’ve come to the right place.

YOUR IMPACT

You will work in a multidisciplinary team of software engineers, product managers, data scientists, data engineers, and designers to create innovative products and technologies that accelerate and scale AI and machine learning. You'll contribute across product teams working on agentic AI systems, digital twins, and advanced analytics platforms, building frameworks and libraries — including open-source projects such as Kedro and ARK — that enable data and AI practitioners to work effectively on large-scale, complex projects. You will apply operations research methods and innovative approaches to tackle client challenges in end-to-end supply chain planning — from S&OP, production planning, and scheduling to network design and logistics optimization. The increasing complexity of integrated tactical and operational systems, combined with an explosion of data, makes these topics both top-of-mind and deeply challenging for many clients. You will enhance analytics tools to customize solutions to precise client situations, develop insights, and implement recommendations that produce tangible and lasting impact on operational performance. Your engagements will range from quick diagnostics to multi-month digital implementations, with the opportunity to present results directly to client leadership and collaborate with client teams on implementation. Your work will help solve some of the most complex and high-impact challenges facing clients across industries. You'll help develop innovative AI and analytics capabilities and scalable enterprise solutions that directly support clients in accelerating AI adoption and solving complex business problems at scale. You'll be based in Atlanta, Boston, or New York and collaborate closely with data scientists, data engineers, machine learning engineers, designers, and product managers around the world. Together, you'll work on interdisciplinary projects to solve complex business challenges across a range of industries. Your work offers a unique opportunity to grow at the forefront of AI and advanced analytics. You'll develop expertise at the intersection of technology and business by tackling diverse challenges in the evolving AI landscape. Working alongside multidisciplinary teams, you'll gain a holistic understanding of how operations research and optimization enable advanced AI while collaborating with some of the leading technologists and AI practitioners in the industry.

YOUR GROWTH

Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward. In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues—at all levels—will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else. When you join us, you will have:

  • Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
  • A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
  • Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
  • World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.
YOUR QUALIFICATIONS AND SKILLS
  • Bachelor’s, master’s or PhD level in a discipline such as: computer science, machine learning, applied statistics, mathematics, engineering or artificial intelligence
  • 5+ years of deep technical experience in operations research/optimization or related data science work
  • Programming experience in languages such as: Python, C++, Java
  • Proven application of operations research methods in the commercial world
  • Knowledge of standard software development tools and best practices (testing, version control, CI/CD, etc.)
  • Understanding of supply chain concepts such as supply chain strategy, production planning, scheduling, network design, inventory, and logistics
  • Previous experience in NLP or generative AI, including model development or application design and deployment, is highly desirable.
  • While we advocate for using the right tech for the right task, we often leverage the following technologies: Python, PySpark, the PyData stack, SQL, Airflow, Databricks, our own open-source data pipelining framework called Kedro, Dask/RAPIDS, container technologies such as Docker and Kubernetes, cloud solutions such as AWS, GCP, and Azure, and more.
  • Willingness to travel
  • Good presentation and communication skills, with a knack for explaining complex analytical concepts to people from other fields

FOR U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law.

Certain US jurisdictions require McKinsey & Company to include a reasonable estimate of the salary for this role.To help you understand what you can expect, the salary range for new joiners in this role in United States, including all office locations where the job may be performed, is $175,500 - $180,000 USD gross per year. This reflects our best estimate of the lowest to highest[salary/hourly wages] for this role at the time of this posting, ensuring you have a clear picture right from the start, though it's importantto remember that actual salaries may vary. Factors like your office location, your unique blend of experience and skills, start date and our currentorganizational needs all play a part in determining the final figure. Certain roles are also eligible for bonuses, subject to McKinsey's discretionand based on factors such as individual and/or organizational performance.

Additionally, we provide a comprehensive benefits package that reflects our commitment to the wellness of our colleagues and their families.This includes medical, mental health, dental and vision coverage, telemedicine services, life, accident and disability insurance, parental leave and family planning benefits, caregiving resources, a generous retirement contributions program, financial guidance,and paid time off.

FOR NON-U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. For additional details regarding our global EEO policy and diversity initiatives, please visit our McKinsey Careers and Diversity & Inclusion sites.

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About McKinsey

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In April 2021, we announced the launch of McKinsey Sustainability, our new client-service platform with the goal of helping all industry sectors transform to get to net zero by 2050 and to cut carbon emissions by half by 2030. McKinsey Sustainability seeks to be the preeminent impact partner and advisor for our clients, from the board room to the engine room, on sustainability, climate, energy transition, and environmental, social and governance (ESG). We are committed to invest behind this goal over the next four years-through our client service, knowledge and capability building, acquisitions and alliances as well as pro-bono investments.

Industry

Business management consulting

Company size

10,000+ Employees

Headquarters location

New York, NY, US

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