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Associate Data Scientist Deep Learning Jobs in Georgia

Associate Data Scientist

Atlanta, GA · On-site

$56.10K - $56.50K/yr

The Associate Data Scientist is responsible for supporting data science initiatives that drive ... This requires effective communication skills as well as continuous learning and development at both ...

Associate Data Scientist

Atlanta, GA · On-site

$56.10K - $56.50K/yr

The Associate Data Scientist is responsible for supporting data science initiatives that drive ... This requires effective communication skills as well as continuous learning and development at both ...

Job Summary: We are seeking an experienced Data Scientist to join our team. The ideal candidate ... Familiarity with NLP, deep learning frameworks, and modern visualization libraries. * Strong ...

This role requires deep proficiency in data science methodologies - including logistic regression, clustering, neural networks, deep learning, and natural language processing to develop, refine, and ...

This role requires deep proficiency in data science methodologies - including logistic regression, clustering, neural networks, deep learning, and natural language processing to develop, refine, and ...

This role requires deep proficiency in data science methodologies - including logistic regression, clustering, neural networks, deep learning, and natural language processing to develop, refine, and ...

Apply data science techniques - regression, NLP, clustering, neural networks, deep learning, image recognition - to geospatial problems * Develop and employ algorithms supporting GEOINT mission ...

Apply data science techniques - regression, NLP, clustering, neural networks, deep learning, image recognition - to geospatial problems * Develop and employ algorithms supporting GEOINT mission ...

Responsibilities State Farm is seeking Data Scientists with experience in deep learning with ... Establish and leverage a network of associates with business domain and data expertise * Instill a ...

New

Apply data science techniques -- regression, NLP, clustering, neural networks, deep learning, image recognition -- to geospatial problems * Develop and employ algorithms supporting GEOINT mission ...

Train machine learning models and build statistical modeling frameworks using custom methods, or ... Deep passion for sports. Not just a casual fan, but someone who deeply knows the ins and outs of a ...

Machine Learning & AI Engineering: * Possess strong experience developing, evaluating, and deploying machine learning and deep learning models across the model lifecycle. * Experience building and ...

Position Summary As a Data Scientist, you will be responsible for developing and implementing ... Experience with deep learning frameworks (TensorFlow, PyTorch). • Preferred: Experience deploying ...

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Associate Data Scientist Deep Learning information

What is the difference between Associate Data Scientist Deep Learning vs Data Scientist?

AspectAssociate Data Scientist Deep LearningData Scientist
Required CredentialsBachelor's or Master's in CS, Data Science, or related; familiarity with deep learning frameworksBachelor's or Master's in CS, Statistics, or related; broader data analysis skills
Work EnvironmentFocus on developing deep learning models, often in AI or ML teamsBroader data analysis, visualization, and modeling across various projects
Employer & Industry UsageTech companies, AI startups, research institutionsFinance, healthcare, retail, tech, and more

The main difference is that Associate Data Scientist Deep Learning specializes in developing deep learning models, requiring specific knowledge of neural networks and frameworks. Data Scientists have a broader scope, including traditional data analysis, statistical modeling, and visualization. Both roles often require similar educational backgrounds but differ in technical focus and project types.

What are the most commonly searched types of Data Scientist Deep Learning jobs in Georgia? The most popular types of Data Scientist Deep Learning jobs in Georgia are:
Associate Data Scientist

Associate Data Scientist

Home Depot

Atlanta, GA • On-site

$56.10K - $56.50K/yr

Full-time

Posted 27 days ago


Home Depot rating

7.5

Company rating: 7.5 out of 10

Based on 6,230 frontline employees who took The Breakroom Quiz

5th 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


Home Depot logo

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 and manufacturing

Company size

10,000+ Employees

Headquarters location

Atlanta, GA, US

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