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Director F1 Data Science Jobs in Georgia (NOW HIRING)

Honeywell

Advanced Data Scientist

Atlanta, GA · On-site

Industrial IoT Solutions, Data Analytics, Cybersecurity, Smart Building Solutions, Supply Chain ... science methods and processes across functions * You will report to the Director of Artificial ...

Weeghman and Briggs

Data Scientist 2

Augusta, GA · On-site

$114K - $127K/yr

... direct impact on mission success. Our growth creates opportunity for advancement, leadership ... Relevant experience must be in designing/implementing machine learning, data science, advanced ...

Weeghman & Briggs LLC

Data Scientist 2

Augusta, GA · On-site

$114K - $127K/yr

... direct impact on mission success. Our growth creates opportunity for advancement, leadership ... data science, advanced analytical algorithms, programming, data mining, advanced statistical ...

Weeghman & Briggs LLC

Data Scientist 2

Augusta, GA · On-site

$100 - $125/hr

... direct impact on mission success. Our growth creates opportunity for advancement, leadership ... Relevant experience must be in designing/implementing machine learning, data science, advanced ...

Weeghman & Briggs LLC

Data Scientist 2

Augusta, GA · On-site

$114K - $127K/yr

... direct impact on mission success. Our growth creates opportunity for advancement, leadership ... Relevant experience must be in designing/implementing machine learning, data science, advanced ...

Deluxe

Data Scientist

Atlanta, GA · On-site

$85K - $90K/yr

Are you a data scientist who enjoys working directly with clients and making a direct and verifiable impact to their business and the success of your team? Come fill that role on a growing team of ...

Deluxe Corporation

Data Scientist

Atlanta, GA · On-site

$85K - $90K/yr

Are you a data scientist who enjoys working directly with clients and making a direct and verifiable impact to their business and the success of your team? Come fill that role on a growing team of ...

Coca-Cola

Senior Data Scientist

Atlanta, GA · On-site

This is an exciting opportunity togrow inyour career in data science and analytics within a ... Highly innovative, adaptable, and self-directed * Results-oriented with a delivery focus

Honeywell

Advanced Data Scientist

Atlanta, GA · On-site

Industrial IoT Solutions, Data Analytics, Cybersecurity, Smart Building Solutions, Supply Chain ... science methods and processes across functions * You will report to the Director of Artificial ...

Honeywell

Advanced Data Scientist

Atlanta, GA · On-site

Industrial IoT Solutions, Data Analytics, Cybersecurity, Smart Building Solutions, Supply Chain ... science methods and processes across functions * You will report to the Director of Artificial ...

Kemper

Data Scientist

Alpharetta, GA · Hybrid

Mathematics, Statistics, CS, Physics, MIS, Economics, Electrical Engineering, etc. * 2+ years' experience in a data science/ predictive analytics environment preferred. * Self-directed and able to ...

Home Depot

Senior Data Scientist, Delivery

Atlanta, GA · On-site

Actively seek out new business opportunities to leverage data science as a competitive advantage ... This position has 0 Direct Reports Travel Requirements: * Typically requires overnight travel less ...

AT&T

Lead Data Scientist

Atlanta, GA · On-site

Coding proficiency required in at least one data science language (Python, R, Scala, etc.), as well ... Relevant Material Job Duties for which Criminal History may have a direct adverse, and negative ...

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Director F1 Data Science information

What does a director F1 data science do?

A Director of F1 Data Science leads a team responsible for analyzing and interpreting complex data related to Formula 1 racing. Their role involves overseeing the development and implementation of data-driven strategies to improve car performance, race strategy, and overall team competitiveness. They collaborate with engineers, data analysts, and race strategists to turn raw data into actionable insights. Additionally, they ensure the use of the latest technologies and methodologies in data science to maintain a competitive edge.

What are the key skills and qualifications needed to thrive as a director F1 data science?

To thrive as a Director F1 Data Science, you need advanced expertise in data analytics, machine learning, and statistical modeling, typically backed by a relevant graduate degree and significant experience in motorsport or a similar high-performance environment. Familiarity with tools such as Python, MATLAB, cloud computing platforms, and race data analysis systems is essential, along with a track record of handling large-scale telemetry and simulation data. Strong leadership, strategic thinking, and clear communication are vital soft skills for guiding teams and collaborating with engineers, drivers, and executives. These abilities drive data-driven decision-making and innovation, directly impacting race strategy, car performance, and competitive advantage in Formula 1.

How does a director F1 data science typically collaborate with racing engineers and other technical teams?

A Director of F1 Data Science works closely with racing engineers, aerodynamics specialists, strategists, and software developers to turn complex data into actionable insights. This role involves leading data science projects that help optimize car performance, race strategy, and driver feedback by effectively communicating analytical findings to technical and non-technical stakeholders. Collaboration often includes attending engineering meetings, coordinating data collection during testing, and integrating data solutions into day-to-day team operations to ensure everyone is aligned toward the team’s performance goals.

What is the difference between Director F1 Data Science vs Data Scientist?

AspectDirector F1 Data ScienceData Scientist
CredentialsAdvanced degrees (Master's/PhD), leadership experienceBachelor's or Master's in relevant field
Work EnvironmentStrategic leadership, team management, cross-department collaborationData analysis, model development, coding, and experimentation
Employer & Industry UsageAutomotive, motorsport teams, analytics firmsTech companies, finance, healthcare, research institutions

The main difference is that the Director F1 Data Science oversees strategic projects and manages teams within the motorsport industry, while a Data Scientist focuses on hands-on data analysis and model building. The director role requires leadership skills and industry experience, whereas the data scientist role emphasizes technical expertise and coding skills.

What are the most commonly searched types of F1 Data Science jobs in Georgia?

The most popular types of F1 Data Science jobs in Georgia are:

What are popular job titles related to Director F1 Data Science jobs in Georgia?

For Director F1 Data Science jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Director F1 Data Science jobs in Georgia look for?

The top searched job categories for Director F1 Data Science jobs in Georgia are:

What cities in Georgia are hiring for Director F1 Data Science jobs?

Cities in Georgia with the most Director F1 Data Science job openings:

Director F1 Data Science jobs near you

Advanced Data Scientist

Honeywell

Atlanta, GA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday

Key responsibilities

  • Design, develop, and implement data-driven AI/ML models and solutions.

  • Recommend innovative data science solutions and define data acquisition strategies.

  • Participate in defining and governing the analytics strategy for Honeywell's Forge platform and promote data science methods across functions.

Honeywell rating

8.3

Company rating: 8.3 out of 10

Based on 186 frontline employees who took The Breakroom Quiz

65th of 546 rated manufacturers

Job description


Honeywell Forge and AI team is a significant business segment of Honeywell International Inc., focusing on providing innovative AI and software solutions that enhance operational efficiency and drive digital transformation across various industries. Forge is the flagship software product of Honeywell. Forge and AI team, as the AI center of excellence, leverages advanced technologies such as the Internet of Things (IoT), cloud computing, artificial intelligence (AI), and data analytics to create integrated solutions that improve productivity, safety, and sustainability.
Key functions and offerings of Honeywell Forge and AI team include: Industrial IoT Solutions, Data Analytics, Cybersecurity, Smart Building Solutions, Supply Chain Optimization, Sustainability Initiatives, and Smart Manufacturing
We're looking for a new team member who is motivated by cracking tough challenges with data, trained in problem solving, and with an unending thirst for learning.
As an Advance Data Scientist, you will join a high-performing, global team, and be responsible for designing, developing, and implementing data driven solutions for all Honeywell business groups and functions. You will work closely with data scientists and data engineers, application architects to integrate results into operational platforms
RESPONSIBILITES
  • The Advance Data Scientist role is expected to work within Honeywell to build and deploy innovative AI/ML models and solutions that generate new business growth and value.
  • You will also be responsible for recommending innovative solutions by using various data science methods including hypothesis testing and be responsible for defining the data acquisition strategy when required.
  • You will also be expected to actively participate in defining and governing our analytics strategy for Honeywell building out AI/ML capabilities of our Forge platform and promoting data science methods and processes across functions
  • You will report to the Director of Artificial intelligence

Qualifications
YOU MUST HAVE
  • Bachelor's degree in computer science, Engineering, Applied Mathematics or related STEM field
  • Minimum of 4 years of full time Data Science prototyping experience (Python) using machine learning techniques and algorithms (supervised, unsupervised, reinforcement learning etc.) in a commercial setup.
  • Minimum of 4 years of full time Machine Learning experience applied on top of processes, systems, and hardware in a commercial setup.
  • Minimum of 4 years of experience with distributed storage and compute tools (e.g. Spark)
  • Minimum of 4 years' experience developing and deploying machine learning models on cloud platforms (e.g. AWS, Azure, GCP etc.)
  • Minimum of 4 years of experience in deep learning frameworks like PyTorch, Tensorflow, Keras
  • Minimum of 4 years' Experience with designing, building models and deploying pipelines to production using containerized microservices and/or orchestrated batch runs

WE VALUE
  • Master's degree in computer science, Engineering, Applied Mathematics or related STEM field
  • PhD degree in Computer Science, Engineering, Applied Mathematics or related STEM field
  • Experience with MLOPS best practices and implementations
  • Experience with LLM and Natural Language Processing models
  • Experience working with remote and global teams
  • Results driven with a positive can-do attitude

In addition to a competitive salary, leading-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package. This package includes employer subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays. For more information visit: Benefits at Honeywell
The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates. Job Posting Date: 03/15/2026
Due to compliance with U.S. export control laws and regulations, candidate must be a U.S. Person, which is defined as, a U.S. citizen, a U.S. permanent resident, or have protected status in the U.S. under asylum or refugee status or have the ability to obtain an export authorization.
About Us
Honeywell Technologies is a global, pure-play automation company with a legacy of innovating to help solve the world's most mission-critical challenges, enhancing the quality of life for people and communities around the world. We serve the building, industrial and process sectors with a broad portfolio of services, solutions and products, underpinned by our Honeywell Technologies Accelerator operating system and Honeywell Technologies Forge intelligence layer. By combining the deep domain expertise of our more than 50,000 employees with decades of data from our global installed base, we are uniquely positioned to lead the industrial sector's transition from automation to autonomy.

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About Honeywell

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Honeywell is charging into the Industrial IoT revolution with the establishment of Honeywell Connected Enterprise (HCE), building on our heritage of invention and deep, on-the-ground industry expertise. HCE is the leading industrial disruptor, building and connecting software solutions to streamline and centralize the assets, people and processes that help our customers make smarter, more accurate business decisions. Moving at the speed of software, we are creating, innovating and delivering solutions fast, challenging the way things have always been done, piloting new ways for all of us to work, and expecting our successes to set new standards for our customers and for Honeywell. The Chief Architect for Honeywell Connected Enterprise will lead a team of architects and system engineers responsible for the design of applications and infrastructure that deliver high value outcomes for customers in industrial, buildings, distribution centers, and aerospace vertical markets. The Chief Architect will work directly with leadership, development teams, and offering management to design well integrated solutions that utilize software platforming to encourage reuse and speed to market.

Industry

Furniture manufacturing

Company size

10,000+ Employees

Headquarters location

Charlotte, NC, US

Year founded

1906

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