Data Scientist, Visual AI

The Home Depot
Austin, TX Full Time
POSTED ON 10/6/2021 CLOSED ON 10/12/2021

What are the responsibilities and job description for the Data Scientist, Visual AI position at The Home Depot?

POSITION PURPOSE
As a Data Scientist in the Visual AI team, you will be building state of the art solutions based on computer vision, deep learning, image processing, image generation, image reconstruction. If you are passionate, curious, and accountable, if you love challenges, solving problems and innovating, you will enable millions of customers to get their dream home!

With your strong analytical skills and research experience, you will design solutions for customer and business problems. You will build prototypes and proof of concept, test and collaborate with product managers and engineering teams to push your solutions to production. Your strong communication skills will facilitate team-work and influence the future of roadmaps.


MAJOR TASKS, RESPONSIBILITIES AND KEY ACCOUNTABILITIES
55% Solution Development - Design and develop algorithms and models to use against large datasets to create business insights; Participates in large data analytics project teams by serving as a technical lead for analytics projects; May lead small projects and work independently on solution development; Execute tasks with high levels of efficiency and quality; Make appropriate selection, utilization and interpretation of advanced analytical methodologies
20% Communicating Results - Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Present recommendations in a confident manner in order to influence execution of recommendation; Prepare reports, updates and/or presentations related to progress made on a project or solution; Clearly communicate impacts of recommendations to drive alignment and appropriate implementation
10% Business Collaboration - Incorporate business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Work with project teams and business partners to determine project goals
15% Technical Exploration & Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Build and maintain library of reusable algorithms for future use, ensuring developed codes are documented

NATURE AND SCOPE
This position typically reports to Manager or above
This position has 0 Direct Reports and leads/manages projects

ENVIRONMENTAL JOB REQUIREMENTS
Environment:
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
Travel:
Typically requires overnight travel less than 10% of the time.
Additional Environmental Job Requirements:
MINIMUM QUALIFICATIONS
Must be eighteen years of age or older.
Must be legally permitted to work in the United States.

Additional Minimum Qualifications:


Education Required:
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.

Years of Relevant Work Experience: 3 years

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.

Additional Qualifications:
- Demonstrated experience in predictive modeling, data mining and data analysis

Preferred Qualifications:
  • Master or PhD in Computer Vision, Machine Learning or related fields (CS, Machine learning, Deep Learning, Physics, Math…)
  • Proficiency in Python
  • Hands-on experience with some of the following techniques and applications:
  • Deep Learning such as CNN, Siamese NN, GAN, NGNN, etc.
  • Computer vision libraries and machine learning framework, such as OpenCV, PyTorch, and TensorFlow
  • Object Detection, Image Segmentation, Image Captioning
  • Cross-modality recognition and matching
  • Generative Images
  • Photgrammetry or with DL techniques for geometry estimation
  • 3D reconstruction algorithms (e.g. SFM, MVS, SLAM, etc.) and various 3D representations (e.g. pointcloud, meshes, implicit functions, neural representations, etc.)
  • 6 years of experience in business intelligence and analytics
  • Working knowledge of Microsoft Excel and Power Point
  • Proficient in a modern scripting language (preferably Python)
  • Proficient running queries against data (preferably with Google BigQuery or SQL)
  • Proficient with data visualization software (preferably Tableau)
  • Mastery utilizing statistical techniques to identify key insights that help solve business problems
  • Proficient in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP


Knowledge, Skills, Abilities and 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
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