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 worlds 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 its like to be a part of our HomeDepot.com team. Who knows? Your next big idea may just change the future of retail!
The Search Science team makes extensive use of NLP, information retrieval, deep learning and learning-to-rank algorithms to power the HomeDepot.com Ecommerce Product Search experience. 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.
Application areas: Product Ontologies and Knowledge Graphs, Semantic Search, Query Understanding, Ranking & Relevancy, Search Navigation (typeahead, spellcheck), Search experimentation platforms.
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 Head of Data Science or Sr. Data Scientist
This position has no Direct Reports
ENVIRONMENTAL JOB REQUIREMENTS
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
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:
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: 3 years
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.
Master's 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).
Work experience with Hadoop, SAS, HBASE, Cassandra or other similar development platforms.
Expert knowledge in large scale information retrieval and statistical analysis.
3 years of experience in data mining and statistical analysis
Previous work experience in ecommerce
Experience with large-scale data analysis and a demonstrated ability to identify key
Insights from data to solve business problems
Experience with big data and distributed computing platforms such Hadoop and Spark and NoSQL databases
Strong knowledge of standard machine learning techniques and concepts
5+ 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
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.
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.