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Director F1 Data Science Jobs in Georgia (NOW HIRING)

Home Depot

Associate Data Scientist

Atlanta, GA · On-site

$56K - $56K/yr

Based on the specific data science team, this role may need to develop skills in one or more data ... This position has 0 direct reports Travel Requirements: * No travel required. Physical Requirements:

Neptune

Senior Data Scientist

Duluth, GA · On-site

... data science solutions, mentor junior data scientists, and drive Neptune's AI transformation initiatives. This role provides direct impact on utility operations, water conservation efforts, and ...

Home Depot

Data Scientist - People Analytics

Atlanta, GA · On-site +1

This role requires deep knowledge in specialized data science areas, particularly in recommendation ... This position has 0 Direct Reports Travel Requirements: * Typically requires overnight travel less ...

Coca-Cola

Principle 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

Home Depot

Associate Data Scientist, Marketing

Atlanta, GA · On-site

$56K - $56K/yr

Based on the specific data science team, this role may need to develop skills in one or more data ... This position has 0 direct reports Travel Requirements: * No travel required. Physical Requirements:

Kemper

Data Scientist

Alpharetta, GA · On-site +1

Our success is a direct reflection of the talented and diverse people who make a positive ... Data Science is a driver of significant competitive advantage for Kemper and is critical to the ...

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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

Associate Data Scientist

Home Depot

Atlanta, GA • On-site

$56K - $56K/yr

Full-time

Re-posted 19 days ago

Home Depot rating

7.4

Company rating: 7.4 out of 10

Based on 6,448 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

With a career at The Home Depot, you can be yourself and also be part of something bigger.
Position Purpose:
The Associate Data Scientist is responsible for supporting data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role works closely with Data Scientists and/or Sr. Data Scientists in their team to develop solutions by applying advanced analytics methods and algorithms for identifying trends and providing business solutions. Based on the specific data science team, this role may need to develop skills in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP.
As an Associate Data Scientist, you will develop skills that effectively leverage data science methodologies to creatively solve business problems and provide strategic insights. This requires effective communication skills as well as continuous learning and development at both the technical and business level.
Key Responsibilities:
  • 70% Solution Development - Design and develop algorithms and models to use against large datasets to create business insights; Supports data science projects by conducting effective analysis to solve business problems; Executes tasks with high levels of efficiency and quality; Consults with Data Scientist or Sr. Data Scientist on appropriate selection, utilization and interpretation of advanced analytical methodologies; Learn about the assigned business areas to provide better solutions by incorporating business-specific knowledge
  • 20% Communicating Results - Effectively communicate insights and recommendations to both technical and non-technical audience; Support preparation of reports, updates and/or presentations related to progress made on a project or solution; Highlights potential impacts of recommendations to drive alignment and appropriate implementation
  • 10% Technical Learning - Keep up to date on industry trends, best practices and emerging methodologies; Continually develop skills and expertise in data analytics concepts and methodologies; Identify opportunities to apply learnings

Direct Manager/Direct Reports:
  • This position reports to manager or above
  • This position has 0 direct reports

Travel Requirements:
  • No travel required.

Physical Requirements:
  • Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.

Working Conditions:
  • Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.

Minimum Qualifications:
  • Must be eighteen years of age or older.
  • Must be legally permitted to work in the United States.

Preferred Qualifications:
  • Master's degree in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience
  • 3+ years of experience in business intelligence and analytics
  • Working knowledge of Microsoft Excel and Power Point
  • Experience in a modern scripting language (preferably Python)
  • Experience running queries against data (preferably with Google BigQuery or SQL)
  • Experience in predictive modeling, data mining and data analysis
  • Experience with data visualization software (preferably Tableau)
  • Experience utilizing statistical techniques to identify key insights that help solve business problems
  • Basic knowledge or exposure to Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP
  • Basic knowledge or exposure to predictive modeling, data mining and data analysis

Minimum Education:
  • The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.

Preferred Education:
  • No additional education

Minimum Years of Work Experience:
  • 0

Preferred Years of Work Experience:
  • No additional years of experience

Minimum Leadership Experience:
  • None

Preferred Leadership Experience:
  • None

Certifications:
  • None

Competencies:
  • Action Oriented: Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm
  • Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals
  • Collaborates: Building partnerships and working collaboratively with others to meet shared objectives
  • Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences
  • Customer Focus: Building strong customer relationships and delivering customer-centric solutions
  • Drives Results: Consistently achieving results, even under tough circumstances
  • Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder
  • Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement
  • Plans and Aligns: Planning and prioritizing work to meet commitments aligned with organizational goals
  • Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels

What Home Depot employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Home Depot

Sourced by ZipRecruiter

The Home Depot is the world’s largest home improvement specialty retailer, operating a vast network of warehouse-format stores across the United States, Canada, and Mexico. Founded in 1978, the company has established itself as the primary resource for building materials, lawn and garden products, and home décor. Its business model caters to two distinct customer bases: Do-It-Yourself (DIY) homeowners and "Pro" customers, such as professional contractors and tradespeople. Beyond product sales, the company offers an extensive suite of services, including professional installation and one of the largest tool rental operations in North America.

Industry

Retail, manufacturing and personal services

Company size

10,000+ Employees

Headquarters location

Atlanta, GA, US

Social media

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