1+ months

Senior Data Scientist, Online

Austin, TX 78701
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\u003Cdiv data-field=\u0022Position_Description\u0022 class=\u0022Summary\u0022\u003E\u003Cstrong\u003EPOSITION PURPOSE\u003C/strong\u003E\u003Cbr /\u003E The Sr. Data Scientist will lead model building and model productionalization from end to end to strengthen Homedepot.com\u0027s recommendation, personalization and search capabilities. This role will be responsible for building large-scale systems that analyze terabytes of data. By partnering with business leaders and leveraging company and industry data, this position will also develop algorithms and models to improve search and personalization. The Sr. Data Scientist will be expected to operate with minimal supervision and mentor data scientists to complete analytical tasks and productionalize model-driven solutions.\u003Cbr /\u003E \u003Cbr /\u003E \u003Cstrong\u003EMAJOR TASKS, RESPONSIBILITIES AND KEY ACCOUNTABILITIES\u003C/strong\u003E\u003Cbr /\u003E 40% -Design and develop algorithms and models to improve search and personalization; Establish scalable, efficient processes for large scale data analysis, model development and model implementation. \u003Cbr /\u003E 20% -Present findings in easily understood ways and focuses on how data analytics fits into the bigger picture. \u003Cbr /\u003E 20% -Communicate with product management, IT, and other business teams on problem definition and writing requirement documents for efficient model building and deployment. \u003Cbr /\u003E 10% -Mentor and develop the technical and business skills of Data Scientists. \u003Cbr /\u003E 10% -Define best practices and articulate a clear vision for how data analyses and model productionalization should be done.\u003Cbr /\u003E \u003Cstrong\u003E\u003Cbr /\u003E NATURE AND SCOPE\u003C/strong\u003E\u003Cbr /\u003E This position reports to Sr Manager or Director HomeDepot.com. \u003Cbr /\u003E This position has 0 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: \u003C/strong\u003E5 years\u003Cbr /\u003E \u003Cbr /\u003E \u003Cstrong\u003EPhysical 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 - Strong data mining and machine learning background \u003Cbr /\u003E - Experience with big data environment\u003Cbr /\u003E \u003Cbr /\u003E \u003Cstrong\u003EPreferred Qualifications:\u003Cbr /\u003E\u003C/strong\u003E- 3\u002B years experience working with real-world noisy data\u003Cbr /\u003E - PhD in Computer Science, Math or related quantitative field \u003Cbr /\u003E - Experience with recommender systems, information retrieval, graph analysis, statistical modeling, neural network, and natural language processing \u003Cbr /\u003E - Experience with large-scale data analysis and building high-performance computational software \u003Cbr /\u003E - Experience with e-Commerce and analyzing clickstream data \u003Cbr /\u003E- Proficiency in Python, SQL, and statistics\u003Cbr /\u003E- Experienced in\u0026nbsp;software engineering practices and providing solutions for the development, implementation, scaling, execution, validation, monitoring, and improvement of data science solutions\u003Cbr /\u003E\u003Cbr /\u003E\u003Cstrong\u003EKnowledge, Skills, Abilities and Competencies:\u003Cbr /\u003E \u003C/strong\u003E- Strong communication and data presentation skills; ability to communicate with data-driven stories \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
Posted: 2020-03-07 Expires: 2020-07-02
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Senior Data Scientist, Online

Home Depot
Austin, TX 78701

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