10 days old

Data Scientist, Online

Atlanta, GA 30303
  • Jobs Rated
    7th
\u003Cdiv data-field=\u0022Position_Description\u0022 class=\u0022Summary\u0022\u003E\u003Cstrong\u003EPosition Purpose:\u003C/strong\u003E\u003Cbr /\u003E \u003Cspan\u003EAt 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\u002B store locations and a relentless focus on customer service. We have been named one of the world\u0027s 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\u0026rsquo;s like to be a part of our HomeDepot.com team. Who knows? Your next big idea may just change the future of retail!\u003C/span\u003E\u003Cbr /\u003E \u003Cbr /\u003E The Data Scientist will develop best in class Conversational AI \u0026 Search Science products to support a wide range of use cases that drive better experiences for our customers. By partnering with business leaders and engineering teams, we will develop in-house Natural Language Understanding pipelines to support millions of our internal \u0026 external customers at scale. This positions primary focus is to better recognize customer intent via NLP/NLU/Machine Learning and provide high impact solutions to the business.\u003Cbr /\u003E \u003Cstrong\u003E\u003Cbr /\u003E \u003C/strong\u003E\u003Cstrong\u003EMajor Tasks, Responsibilities and Key Accountabilities:\u003C/strong\u003E\u003Cbr /\u003E\u003Cul\u003E\u003Cli\u003E50%-Design and develop algorithms and models to use against large datasets to create business insights\u003C/li\u003E\u003Cli\u003E20%-Establish scalable, efficient processes for large scale data analyses, model development and model implementation\u003C/li\u003E\u003Cli\u003E20%-Present analysis and resulting recommendations to senior management; Leverage data to present a compelling business case to optimize investments and operations\u003C/li\u003E\u003Cli\u003E10%-Communicate and educate technical and non-technical employees on analytics and data-driven decision making\u003C/li\u003E\u003C/ul\u003E\u003Cstrong\u003E\u003Cbr /\u003E Nature and Scope:\u003C/strong\u003E\u003Cbr /\u003E\u003Cul\u003E\u003Cli\u003EThis position reports to Director of Data Science, or Sr. Manager, Data Science\u003C/li\u003E\u003Cli\u003EThis position has no direct reports\u003C/li\u003E\u003C/ul\u003E\u003Cstrong\u003E\u003C/strong\u003E\u003Cbr /\u003E \u003Cstrong\u003EEnvironment:\u0026nbsp;\u003C/strong\u003E\u003Cbr /\u003E\u003Cul\u003E\u003Cli\u003ELocated in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.\u003C/li\u003E\u003C/ul\u003E\u003Cstrong\u003ETravel:\u0026nbsp;\u003C/strong\u003E\u003Cbr /\u003E\u003Cul\u003E\u003Cli\u003ETypically requires overnight travel less than 10% of the time.\u003C/li\u003E\u003C/ul\u003E\u003C/div\u003E\u003Cdiv data-field=\u0022Postion_Requirement\u0022 class=\u0022Requirement\u0022\u003E\u003Cstrong\u003EMinimum Qualifications:\u003C/strong\u003E\u003Cbr /\u003E\u003Cul\u003E\u003Cli\u003EMust be eighteen years of age or older.\u003C/li\u003E\u003Cli\u003EMust be legally permitted to work in the United States.\u003C/li\u003E\u003C/ul\u003E\u003Cstrong\u003E\u003C/strong\u003E\u003Cbr /\u003E \u003Cstrong\u003EEducation Required:\u003C/strong\u003E\u003Cbr /\u003E\u003Cul\u003E\u003Cli\u003EThe knowledge, skills and abilities typically acquired through the completion of a master\u0027s degree program or equivalent degree in a field of study related to the job.\u003C/li\u003E\u003C/ul\u003E\u003Cstrong\u003E\u003Cbr /\u003E Years of Relevant Work Experience:\u0026nbsp;\u003C/strong\u003E\u003Cspan\u003E0\u003C/span\u003E\u003Cstrong\u003E\u0026nbsp;\u003C/strong\u003E\u003Cspan\u003Eyears\u003C/span\u003E\u003Cbr /\u003E \u003Cstrong\u003E\u003Cbr /\u003E Physical Requirements:\u003C/strong\u003E\u003Cbr /\u003E\u003Cul\u003E\u003Cli\u003EMost 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.\u003C/li\u003E\u003C/ul\u003E\u003Cstrong\u003E\u003Cbr /\u003E Additional Qualifications:\u003C/strong\u003E\u003Cbr /\u003E\u003Cul\u003E\u003Cli\u003EMaster\u0027s in Computer Science, Math or related quantitative field (or BS/BA in Computer Science, Math or related quantitative field and 5 years of data mining experience).\u003C/li\u003E\u003Cli\u003EWork experience with Hadoop, SAS, HBASE, Cassandra or other similar development platforms.\u003C/li\u003E\u003Cli\u003EExpert knowledge in large scale information retrieval and statistical analysis.\u003C/li\u003E\u003C/ul\u003E\u003Cstrong\u003EPreferred Qualifications:\u003Cbr /\u003E\u003C/strong\u003E\u003Cul\u003E\u003Cli\u003E2-3\u002B years of experience in Data Science / Natural Language Processing\u003C/li\u003E\u003Cli\u003EPrevious work experience in Ecommerce, Conversational AI, or Search Science\u003C/li\u003E\u003Cli\u003EExperience with Deep Learning \u0026 Machine Learning\u003C/li\u003E\u003Cli\u003EExperience with Information Retrieval, Dialogue Systems, Coreference Resolution, NER, NLU and/or Knowledge Graph\u003C/li\u003E\u003C/ul\u003E\u003Cstrong\u003E\u003Cbr /\u003E Knowledge, Skills, Abilities and Competencies:\u003Cbr /\u003E \u003Cbr /\u003E \u003C/strong\u003E\u003Cul\u003E\u003Cli\u003EAbility to build scalable systems that analyze huge data sets and make actionable recommendations\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EStrong communication and data presentation skills\u003C/li\u003E\u003Cli\u003EAbility to quickly adapt to new technologies, tools and techniques\u003C/li\u003E\u003Cli\u003EFlexible and responsive; able to perform in a fast paced, dynamic work environment and meet aggressive deadlines\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EAbility to work with technical and non-technical team members\u003C/li\u003E\u003C/ul\u003E\u003C/div\u003E

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Jobs Rated Reports for Data Scientist

Posted: 2019-11-07 Expires: 2019-12-11

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Data Scientist, Online

Home Depot
Atlanta, GA 30303

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Data Scientist
7th2018 - Data Scientist
Overall Rating: 7/220
Median Salary: $111,840

Work Environment
Very Good
32/220
Stress
Very Low
41/220
Growth
Very Good
35/220
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