1+ months

Data Scientist, Online Search

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\u0026rsquo;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\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\u003Cp\u003EThe\u0026nbsp;Search\u0026nbsp;Science team makes extensive use of NLP, information retrieval, deep learning and learning-to-rank algorithms to power the HomeDepot.com Ecommerce Product\u0026nbsp;Search experience.\u0026nbsp; As a core member of this team, the Data Scientist in this role will work with product and engineering partners to help answer customers home improvement questions through enabling a world class E-commerce Search and Customer Service experience.\u003C/p\u003E\u003Cp\u003EApplication areas:\u0026nbsp;Product Ontologies and\u0026nbsp;Knowledge\u0026nbsp;Graphs, Semantic\u0026nbsp;Search, Query Understanding, Ranking \u0026 Relevancy, Search\u0026nbsp;Navigation (typeahead, spellcheck),\u0026nbsp;Search\u0026nbsp;experimentation platforms.\u0026nbsp;\u003C/p\u003E\u003Cbr /\u003E \u003Cstrong\u003EMAJOR TASKS, RESPONSIBILITIES AND KEY ACCOUNTABILITIES\u003C/strong\u003E\u003Cbr /\u003E 50%-Design and develop algorithms and models to use against large datasets to create business insights \u003Cbr /\u003E 20%-Establish scalable, efficient processes for large scale data analyses, model development and model implementation \u003Cbr /\u003E 20%-Present analysis and resulting recommendations to senior management; Leverage data to present a compelling business case to optimize investments and operations \u003Cbr /\u003E 10%-Communicate and educate technical and non-technical employees on analytics and data-driven decision making\u003Cbr /\u003E \u003Cbr /\u003E \u003Cstrong\u003ENATURE AND SCOPE\u003C/strong\u003E\u003Cbr /\u003E This position reports to Head of Data Science or Sr. Data Scientist \u003Cbr /\u003E This position has no Direct Reports\u003Cbr /\u003E \u003Cbr /\u003E \u003Cstrong\u003EENVIRONMENTAL JOB REQUIREMENTS\u003C/strong\u003E\u003Cbr /\u003E \u003Cstrong\u003EEnvironment: \u003C/strong\u003E\u003Cbr /\u003E Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.\u003Cbr /\u003E \u003Cstrong\u003ETravel: \u003C/strong\u003E\u003Cbr /\u003E Typically requires overnight travel less than 10% of the time.\u003Cbr /\u003E \u003Cstrong\u003EAdditional Environmental Job Requirements: \u003C/strong\u003E\u003C/div\u003E\u003Cdiv data-field=\u0022Postion_Requirement\u0022 class=\u0022Requirement\u0022\u003E\u003Cstrong\u003EMINIMUM QUALIFICATIONS\u003C/strong\u003E\u003Cbr /\u003E Must be eighteen years of age or older.\u003Cbr /\u003E Must be legally permitted to work in the United States.\u003Cbr /\u003E \u003Cstrong\u003E\u003Cbr /\u003E Additional Minimum Qualifications:\u003C/strong\u003E\u003Cbr /\u003E \u003Cbr /\u003E \u003Cstrong\u003EEducation Required:\u003C/strong\u003E\u003Cbr /\u003E The 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.\u003Cbr /\u003E \u003Cbr /\u003E \u003Cstrong\u003EYears of Relevant Work Experience: 3\u003C/strong\u003E\u0026nbsp;years\u003Cbr /\u003E \u003Cstrong\u003E\u003Cbr /\u003E Physical Requirements:\u003C/strong\u003E\u003Cbr /\u003E 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.\u003Cbr /\u003E \u003Cbr /\u003E \u003Cstrong\u003EAdditional Qualifications:\u003C/strong\u003E\u003Cbr /\u003E - Master\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). \u003Cbr /\u003E - Work experience with Hadoop, SAS, HBASE, Cassandra or other similar development platforms. \u003Cbr /\u003E - Expert knowledge in large scale information retrieval and statistical analysis.\u003Cbr /\u003E \u003Cbr /\u003E \u003Cstrong\u003EPreferred Qualifications:\u003C/strong\u003E\u003Cbr /\u003E - 3 years of experience in data mining and statistical analysis \u003Cbr /\u003E - Previous work experience in ecommerce \u003Cbr /\u003E - Experience with large-scale data analysis and a demonstrated ability to identify key \u003Cbr /\u003E - Insights from data to solve business problems\u003Cbr /\u003E- Experience with big data and distributed computing platforms such Hadoop and Spark and NoSQL databases\u003Cbr /\u003E- Strong knowledge of standard machine learning techniques and concepts\u003Cbr /\u003E-\u0026nbsp;5\u002B years of hand-on experience (either in industry or academia) with a scripting language such as Python/R or a general purpose programming language such as Java or Scala\u003Cbr /\u003E \u003Cbr /\u003E \u003Cstrong\u003EKnowledge, Skills, Abilities and Competencies:\u003Cbr /\u003E \u003C/strong\u003E- Ability to build scalable systems that analyze huge data sets and make actionable recommendations \u003Cbr /\u003E - Strong communication and data presentation skills \u003Cbr /\u003E - Ability to quickly adapt to new technologies, tools and techniques \u003Cbr /\u003E - Flexible and responsive; able to perform in a fast paced, dynamic work environment and meet aggressive deadlines \u003Cbr /\u003E - Ability to work with technical and non-technical team members\u003C/div\u003E

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Jobs Rated Reports for Data Scientist

Posted: 2019-11-07 Expires: 2020-01-09

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Data Scientist, Online Search

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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