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Manager Of Data Science Jobs in Georgia (NOW HIRING)

AIG

Manager Data Science, GenAI

Atlanta, GA · On-site

The Manager of Data Science will oversee a team delivering generative AI solutions and collaborate with cross-functional teams to innovate and manage risk effectively. Responsibilities : • Oversee ...

Kaizen Analytix LLC

VP of Data Science

Atlanta, GA · On-site

Original Post Date: 4/3/2026 VP of Data Science Kaizen Analytix LLC, an analytics products and ... Through understanding of Agile project management methodology * Ability to travel as dictated by ...

AIG

Manager Data Science, GenAI

Atlanta, GA

Be part of something groundbreaking At AIG, we are making long-term investments in a brand-new ... How you will create impact As a Manager of Data Science at AIG, you will play a critical role in ...

Home Depot

DATA SCIENCE MANAGER

Atlanta, GA · On-site

The Data Science Manager is responsible for leading a team of data scientists (individual contributors), ensuring that their efforts drive business profitability, increased efficiencies and improved ...

Home Depot

Data Science Manager - GenBI

Atlanta, GA · On-site

The Data Science Manager is responsible for leading a team of data scientists (individual contributors), ensuring that their efforts drive business profitability, increased efficiencies and improved ...

usauto

Senior Manager of Data Management

Duluth, GA · On-site

Position Overview The Senior Manager of Data is responsible for the overall management of the databases, oversight of PowerBI and operational reporting, and continued expansion of the data warehouse.

STEMtech

Sr. Data Scientist

Atlanta, GA · On-site

Supports Translators in communicating the design, functioning and output of the analytical models/solutions developed * Manage and direct data science team to accomplish technical goals and develop ...

STEMtech

Sr. Data Scientist

Atlanta, GA

Supports Translators in communicating the design, functioning and output of the analytical models/solutions developed * Manage and direct data science team to accomplish technical goals and develop ...

Varsity Tutors

Data Science Tutor

Woodstock, GA · Remote

$40/hr

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Varsity Tutors

Data Science Tutor

Sandy Springs, GA · Remote

$40/hr

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Varsity Tutors

Data Science Tutor

Duluth, GA · Remote

$40/hr

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Varsity Tutors

Data Science Tutor

Carrollton, GA · Remote

$40/hr

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Varsity Tutors

Data Science Tutor

Athens, GA · Remote

$40/hr

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Home Depot

Principal Data Scientist, Online

Atlanta, GA · On-site

Network with both academic and industry experts to further the application of data science to business problems Direct Manager/Direct Reports: * This position typically reports to Senior Manager or ...

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Manager Of Data Science information

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How much do manager of data science jobs pay per year?

As of Jun 14, 2026, the average yearly pay for manager of data science in Georgia is $82,027.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,700.00 and $106,000.00 per year, depending on experience, location, and employer.

What is the difference between Manager Of Data Science vs Data Scientist?

AspectManager Of Data ScienceData Scientist
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; often leadership experienceBachelor's or Master's in Data Science, Statistics, or related field; strong technical skills
Work EnvironmentOversees teams, manages projects, collaborates with stakeholdersFocuses on data analysis, model development, and technical problem-solving
Employer & Industry UsageUsed in organizations with data teams, analytics departmentsCommonly employed in tech, finance, healthcare, and research sectors

The main difference between a Manager Of Data Science and a Data Scientist is the level of responsibility. Managers oversee teams and strategic initiatives, while Data Scientists focus on technical data analysis and model building. Both roles require strong analytical skills, but the Manager role emphasizes leadership and project management.

How does a Manager of Data Science typically balance hands-on technical work with team leadership responsibilities?

A Manager of Data Science often divides their time between overseeing project execution and supporting their team's professional growth. While they may still participate in high-level technical decision-making and occasionally contribute to code or modeling, much of their focus shifts to setting strategic direction, mentoring team members, and facilitating cross-functional collaboration. They are responsible for ensuring that projects align with business goals, providing technical guidance, and creating an environment where data scientists can thrive. Effective managers also spend time communicating with stakeholders to translate business needs into actionable data projects.

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

To thrive as a Manager of Data Science, you need advanced expertise in data analytics, machine learning, and statistical modeling, typically backed by a degree in a quantitative field and prior experience in data science roles. Familiarity with tools like Python, R, SQL, cloud platforms (e.g., AWS, Azure), and project management systems is essential, and certifications such as Certified Analytics Professional (CAP) can be valuable. Strong leadership, communication, and problem-solving skills help in guiding teams, translating business needs into data solutions, and fostering collaboration. These skills and qualities are crucial for delivering actionable insights, driving innovation, and ensuring successful data-driven strategies in complex organizational environments.

What is a Manager of Data Science?

A Manager of Data Science is a leadership role responsible for overseeing a team of data scientists and analysts, guiding data-driven projects, and ensuring that business objectives are met through data analysis and modeling. They collaborate with stakeholders to identify business needs, design analytical solutions, and manage the end-to-end process of extracting insights from large datasets. In addition to technical expertise, this role requires strong leadership, project management, and communication skills to translate complex findings into actionable strategies.

What does a data scientist manager do?

A data scientist manager oversees data science teams, guiding project priorities, setting strategic goals, and ensuring the effective use of data analysis and modeling techniques. They coordinate between technical staff and business stakeholders, often utilizing tools like Python, R, or SQL, and may require leadership and communication skills alongside technical expertise.

What is the 80 20 rule in data science?

The 80/20 rule, also known as Pareto principle, suggests that roughly 80% of effects come from 20% of causes. In data science, it often means focusing on the most impactful features or data points to improve model performance efficiently.

What is the salary of a data science manager?

The salary of a data science manager typically ranges from $100,000 to $160,000 annually, depending on experience, location, and company size. Senior managers or those in high-demand regions may earn higher compensation, often supplemented with bonuses and stock options.

What is the highest paid job in data science?

The highest paid roles in data science are often senior positions such as Director of Data Science, Chief Data Officer, or Lead Data Scientist, with salaries exceeding $150,000 annually and sometimes reaching over $200,000 with bonuses and stock options. These roles typically require extensive experience, advanced skills in machine learning, big data tools, and leadership capabilities.
What are the most commonly searched types of Of Data Science jobs in Georgia? The most popular types of Of Data Science jobs in Georgia are:
What cities in Georgia are hiring for Manager Of Data Science jobs? Cities in Georgia with the most Manager Of Data Science job openings:
Manager Of Data Science jobs near you
Manager Data Science, GenAI

Manager Data Science, GenAI

AIG

Atlanta, GA • On-site

Full-time

Posted 22 hours ago

AIG rating

8.4

Company rating: 8.4 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

101st of 261 rated insurance

Job description

Job Summary:
AIG is a leading global insurance organization providing a wide range of property casualty insurance and other financial services. The Manager of Data Science will oversee a team delivering generative AI solutions and collaborate with cross-functional teams to innovate and manage risk effectively.
Responsibilities:
• Oversee the development and delivery of data science and generative AI solutions aligned with business requirements, monitor solutions in production.
• Develop technical delivery plans and execute them to ship solutions on time.
• Mentor and develop junior data scientists.
• Collaborate with cross-functional teams including product managers, engineers, and business leaders.
• Build evaluation frameworks to measure LLM effectiveness, ground-truth dataset quality, and guide the product development roadmap.
Qualifications:
Required:
• 7+ years of experience in a data science role—preferably in NLP—in an agile, production-oriented environment.
• 3+ years of experience managing teams of data scientists and/or engineers.
• 2+ years of hands-on experience building generative AI solutions: prompt engineering, RAG and agentic frameworks, validation pipelines, and observability and monitoring solutions.
• Ph.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 across teams.
• Able to operate as both a hands-on practitioner and a people manager.
• Highly technical, with a strong bias for execution.
Preferred:
• Experience on the Palantir platform or demonstrated certification is preferred.
• Ontology Mastery: A strong understanding of Ontology—specifically how to map complex real-world data entities and relationships into a digital twin framework to power AI applications.
• Large-scale Data Infrastructure: Strong understanding of performance optimization in big data environments, with hands-on experience using distributed data processing frameworks such as Apache Spark or PySpark.
• Agentic Solution: Experience implementing advanced agentic architectures, such as autonomous agents capable of multi-step reasoning and decision-making or integrating agentic solutions with large-scale enterprise systems.
Company:
American International Group, Inc. (NYSE: AIG) is a leading global insurance organization. Founded in 1919, the company is headquartered in New York, NY, US, , with a team of 10001+ employees. The company is currently Late Stage.

What AIG employees say

Pay

Benefits

Hours and flexibility

Workplace

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About AIG

Sourced by ZipRecruiter

American International Group, Inc. (AIG) is a leading global insurance organization. Building on 100 years of experience, today AIG member companies provide a wide range of property casualty insurance, life insurance, retirement solutions, and other financial services to customers in more than 80 countries and jurisdictions. These diverse offerings include products and services that help businesses and individuals protect their assets, manage risks and provide for retirement security.

Industry

Insurance services

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1919

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