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Data Science Phd Jobs in Georgia (NOW HIRING)

Data Scientist

Atlanta, GA · On-site

$85 - $115/hr

... science to solve business problems. Able to communicate analytical results to generate improved ... PhD in a STEM field with 0‑1 year of work experience. Preferred Qualifications : Master's degree ...

Lead Data Scientist

Atlanta, GA · On-site

$140 - $190/hr

Lead Data Scientist is recognized as an expert within the company; progression to this level is ... PhD in a STEM field with 3+ years of relevant work experience. PREFERRED: Master's degree in a STEM ...

Lead Data Scientist

Atlanta, GA · On-site

$140 - $200/hr

Lead Data Scientist Onsite requirement: Must work onsite 4 days per week (Monday-Thursday ... Master's degree in a STEM field with ≥4 years of relevant experience, OR PhD in a STEM field with ...

Sr. Associate, Data Engineer - PySpark

Atlanta, GA · On-site

$56K - $57K/yr

Master's degree from an accredited college/university in Computer Science, Statistics, Data Science, Engineering, or related fields; PhD from an accredited college/university is preferred * Proven ...

... science to solve business problems. Able to communicate analytical results generate improved ... PhD in a STEM fieldwith0-1yearsofwork experience * PREFERRED: Master's degree in aSTEM field with 2 ...

... science to solve business problems. Able to communicate analytical results generate improved ... PhD in a STEM fieldwith0-1yearsofwork experience * PREFERRED: Master's degree in aSTEM field with 2 ...

... science to solve business problems. Able to communicate analytical results generate improved ... PhD in a STEM field with 0-1 years of work experience * PREFERRED: Master's degree in a STEM field ...

The Lead Data Scientist is recognized as an expert within thecompany;progression to this level is ... PhD in a STEM field with 3+years ofrelevant work experience PREFERRED: Master's degree in aSTEM ...

The Lead Data Scientist is recognized as an expert within thecompany;progression to this level is ... PhD in a STEM field with 3+years ofrelevant work experience PREFERRED: Master's degree in aSTEM ...

PhD in Computer Science, or similar fields * Background in relational databases, big data systems, and data analytic systems * Expertise in data management, data cleaning, distributed systems ...

PhD in Computer Science, or similar fields * Background in relational databases, big data systems, and data analytic systems * Expertise in data management, data cleaning, distributed systems ...

Showing results 41-60

Data Science Phd information

What are the key skills and qualifications needed to thrive as a data science PhD?

To thrive as a Data Science PhD, you need advanced expertise in statistics, machine learning, data analysis, and a doctoral degree in a quantitative field. Proficiency in programming languages like Python or R, experience with big data frameworks (e.g., Spark, Hadoop), and familiarity with data visualization tools are typically required. Critical thinking, problem-solving, and strong communication skills help you translate complex data insights for diverse stakeholders. These skills are vital for driving innovative research, making data-driven decisions, and contributing impactful solutions in data-centric environments.

What are some common challenges faced by data science PhDs when transitioning from academia to industry roles?

Data Science PhDs often encounter challenges such as adapting to the faster pace and collaborative nature of industry projects compared to academic research. In industry, there is a greater emphasis on delivering practical solutions within tight deadlines and working closely with cross-functional teams like engineering and product management. Additionally, data science work in industry may require balancing technical rigor with business impact, often prioritizing actionable insights over exhaustive analysis. Building strong communication and stakeholder management skills can help ease this transition.

What is a data science PhD?

A Data Science PhD is a doctoral-level degree focused on advanced research in data science, which combines elements of statistics, computer science, and domain expertise. Students in a Data Science PhD program typically work on developing new methods for analyzing large datasets, creating machine learning algorithms, and addressing complex problems in areas such as artificial intelligence, data mining, and predictive analytics. Graduates are prepared for careers in academia, research, and industry, where they can lead data-driven projects and contribute to advancements in the field.
What job categories do people searching Data Science Phd jobs in Georgia look for? The top searched job categories for Data Science Phd jobs in Georgia are:
What cities in Georgia are hiring for Data Science Phd jobs? Cities in Georgia with the most Data Science Phd job openings:
Infographic showing various Data Science Phd job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 1% Temporary, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Senior AI/ Data Scientist - Pricing & Promotion

Cargill

Atlanta, GA

$105K - $160K/yr

Full-time

Re-posted 16 days ago


Cargill rating

7.4

Company rating: 7.4 out of 10

Based on 220 frontline employees who took The Breakroom Quiz

20th of 49 rated food wholesalers


Job description

Cargill is a family company committed to providing food and agricultural solutions to nourish the world in a safe, responsible, and sustainable way. We sit at the heart of the supply chain, partnering with producers and customers to source, make and deliver products that are vital for living. By providing customers with lifes essentials, we enable businesses to grow, communities to prosper, and consumers to live well.

This position is in our Food Enterprise where we are committed to serving food manufacturers, food service customers, and retailers with a complete range of innovative ingredients and branded products. Our portfolio includes poultry, beef, egg, alternative protein, salt, oils, starches, sweeteners, cocoa and chocolate.

Job Purpose and Impact

The Senior AI & Data Science job plans and leads the development of artificial intelligence models from design and prototyping through deployed solutions to drive decision making. With minimal supervision, this role extracts and integrates complex data from various sources, builds advanced models suitable for the business use case and evaluates model performance for accuracy, scaling and deployment. This job also develops compelling and clear communication materials to facilitate partner on board.By leveraging diverse and expansive data sources, this role applies advanced forecasting, optimization, and machine learning techniques to transform how decisions are made across the supply chain. The Senior Professional accelerates AI adoption by partnering with business and technology teams. Theywork to embed models into core workflows, operationalizing data science to deliver sustained business impact.

Key Accountabilities
  • DATA PREPARATION MANAGEMENT: Conducts extraction and integration of complex data from different data sources, analyses the ways in which datasets may be biased and applies mitigation strategies.
  • DATA ANALYSIS: Reviews complex data sets for exploratory data analysis to identify trends and patterns that inform business strategies across various areas.
  • MODEL DEVELOPMENT: Develops and deploys artificial intelligence models, including monitoring and evaluating ongoing performance to solve complex business problems and derive actionable insights.
  • AI ENGINEERING: Establishes software and artificial intelligence engineering patterns and principles to design, develop, test, integrate, maintain and troubleshoot complex and varied generative artificial intelligence software solutions and incorporates security practices in newly developed and maintained applications. .
  • DOCUMENT & REPORTING: Documents development and code in ways that allow for support and knowledge sharing.
  • COMMUNICATION: Presents techniques and results to technical and non-technical audiences.
  • CONTINUOUS LEARNING: Examines existing and emerging artificial intelligence and optimization principles, theories, and techniques to develop and deploy artificial intelligence models into production, improving the organization's analytical capabilities.
  • STAKEHOLDER MANAGEMENT: Works closely with businesses to understand needs, and collaborates with cross functional teams to develop artificial intelligence models for digital applications.
Qualifications
  • Minimum requirement of 4 years of relevant work experience. Typically reflects 5 years or more of relevant experience.

Preferred Qualifications:

  • Masters degree or PhD in Applied Mathematics, Computer Science, Data Science, Operations Research, or a related field.
  • Deep experience leading the design, deployment, and scaling of applied AI/ML solutions that drive measurable business impact across complex value chains.
  • Advanced expertise in Machine Learning, Deep Learning, and/or Reinforcement Learning, including model governance, performance monitoring, and lifecycle ownership.
  • Recognized depth in forecasting and optimization, with a track record of influencing enterpriselevel decisions in pricing & commercial.

#HiPo

This role is not eligible for employer-sponsored work authorization now or in the future. This includes candidates whose work authorization is tied to a student visa, employer-sponsored visa, visa transfer, immigration petition, or other third-party sponsorship arrangement.

Short Description

The expected salary for this position is $105,000 - $160,000. Compensation varies depending on a wide array of factors including but not limited to the specific location, certifications, education, and level of experience. The disclosed range estimate may be adjusted for any applicable geographic differential associated with the location at which the position may be filled. This position is eligible for a discretionary incentive award. The incentive award amount is dependent upon company performance and your personal performance. At Cargill we put people first. As part of your overall rewards, we offer a comprehensive benefit program including medical and/or other benefits dependent on the position offered and hours worked. Visit: https://www.cargill.com/page/my-health/mh-health-and-wellness to learn more (subject to certain collective bargaining agreements for Union positions).

Minnesota Sick and Safe Leave accruals of one hour for every 30 worked, up to 48 hours per calendar year unless otherwise provided by law.

Equal Opportunity Employer, including Disability/Vet


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About Cargill

Sourced by ZipRecruiter

Cargill was founded in 1865 as a single grain warehouse in Iowa, U.S. Since then, we’ve grown to become a global partner connecting people around the planet. But one thing has remained constant over the years: our purpose of nourishing the world in a safe, responsible and sustainable way. Cargill is committed to conducting business with integrity, operating responsibly, enriching communities and nourishing the world. In the fiscal year 2021, Cargill provided $110.5 million in total charitable contributions in 56 countries to support our communities. Cargill businesses and employee-led groups partner with local civic, nonprofit and non-governmental organizations on programs and projects that improve food security and nutrition; support human rights, equity and inclusion; strengthen farmer livelihoods; and advance our commitments in the areas of land use, water and climate.

Industry

Food and drink manufacturing

Company size

10,000+ Employees

Headquarters location

Minneapolis, MN, US