11 hours

Data Scientist, Online

Atlanta, GA
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  • Job Code
    115426
  • Jobs Rated
    7th
Data Scientist, Online - Atlanta GA 30308 Skip Navigation
Job Details

Data Scientist, Online (115426)

GA - Atlanta

  • Date Posted: Jun 5, 2018
  • Company: The Home Depot
  • Travel: 0-10%
  • Functional Area: E-Commerce
  • Position Type: Full-Time
  • Relocation Provided: Yes




Position Description:
Position Purpose:
At HomeDepot.com, our award-winning e-Commerce team is blazing a trail of retail shopping innovation by leveraging cutting-edge technology with our 2,200+ store locations and a relentless focus on customer service. We have been named one of the world's most innovative companies and we are on a mission to provide the best interconnected shopping experience to our consumers. To do so, we need more dreamers, innovators and big thinkers passionate about re-imagining the future of retail. Interested in making history with us? If so, apply today to experience what it’s like to be a part of our HomeDepot.com team. Who knows? Your next big idea may just change the future of retail!

Our Data Scientists are pioneers in building the next generation of retail interconnected experience for homedepot.com by leveraging Artificial Intelligence and Statistics.  With deep learning, machine learning, predictive modeling, NLP, pattern recognition and computer vision, we innovate and implement cutting-edge solutions to surprise and delight our customers.  By partnering with business leaders, this role will turn business strategy into reality and make a game-changing impact to customer experience and the bottom line performance of homedepot.com.

What you’ll do:

  • Develop algorithms on large-scale datasets using deep learning, machine learning, statistical modeling, and data mining techniques
  • Implement scalable and efficient modeling algorithms that can work with large-scale data in production systems
  • Collaborate with product management and engineering groups to develop new products and features
  • Build customer segmentation, personalized recommendation, automated chat bots, image recognition, etc.
  • Communicate and present your reasoning, methodology and results to peers and leadership team
  • Continuously seek for opportunities to learn and improve knowledge, skills and processes. 

What you need to succeed

  • PhD or MS degree in Computer Science, Electrical Engineering, Statistics, Applied Math, Econometrics, Operations Research, or other related fields.
  • Deep understanding of statistical modeling, machine learning, or data mining concepts, and a track record of solving problems with these methods.
  • Proficient in one or more machine learning or statistical modeling tools such as ScikitLearn, Tensorflow, and R
  • Strong analytical and quantitative problem solving ability.
  • Excellent communication skills with both technical and business people, able to speak at a level appropriate for the audience.
  • Strong autonomy and team player

Preferred Qualifications

  • Experience with Google Cloud Platform (such as BigQuery, Compute Engine, Data Flow, ..)
  • Experience with relational (SQL) and NoSQL Databases
  • Experience with developing products deployed to production
  • Experience in developing  Search, Recommendation, Visual and/or Language applications
Major Tasks, Responsibilities and Key Accountabilities:
  • 50%-Design and develop algorithms and models to use against large datasets to create business insights
  • 20%-Establish scalable, efficient processes for large scale data analyses, model development and model implementation
  • 20%-Present analysis and resulting recommendations to senior management; Leverage data to present a compelling business case to optimize investments and operations
  • 10%-Communicate and educate technical and non-technical employees on analytics and data-driven decision making
Nature and Scope:
  • This position reports to Director of Data Science, or Sr. Manager, Data Science
  • This position has no direct reports

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.


ESSENTIAL SKILLS:
Minimum Qualifications:

  • Must be eighteen years of age or older.
  • Must be legally permitted to work in the United States.
Education Required:
  • The knowledge, skills and abilities typically acquired through the completion of a master's degree program or equivalent degree in a field of study related to the job.
Years of Relevant Work Experience: 0 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.
Knowledge, Skills, Abilities and Competencies:
  • Ability to build scalable systems that analyze huge data sets and make actionable recommendations
  • Strong communication and data presentation skills
  • Ability to quickly adapt to new technologies, tools and techniques
  • Flexible and responsive; able to perform in a fast paced, dynamic work environment and meet aggressive deadlines
  • Ability to work with technical and non-technical team members


We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.

Jobs Rated Reports for Data Scientist

Posted: 2018-10-22 Expires: 2018-11-20

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Data Scientist, Online

Home Depot
Atlanta, GA

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