1+ months

Associate Data Scientist, Online

Atlanta, GA 30303
\u003Cdiv data-field=\u0022Position_Description\u0022 class=\u0022Summary\u0022\u003E\u003Cp\u003EPOSITION PURPOSE\u003C/p\u003E\u003Cp\u003EThe Associate Data Scientist will help lead efforts to ensure Data Quality \u0026 Data Governance across The Home Depot\u0026rsquo;s multi-million item catalog that will directly impact how customers \u0026 business stakeholders consume information about the products we sell. By leveraging machine learning techniques \u0026 statistical methods, we aim to maintain the highest standard of data possible while developing extremely scalable and production ready models. You will work directly with cross-functional partners including engineering, analytics, UX, \u0026 product management. This candidate will frequently present key findings to leadership, and ultimately help drive strategic business decisions that maximize value for our customers.\u003C/p\u003E\u003Cp\u003EMAJOR TASKS, RESPONSIBILITES AND KEY ACCOUNTABILITIES\u003C/p\u003E\u003Cp\u003E50% - Model Preparation: Establish scalable, efficient processes for large scale data analyses, model development and model implementation\u003C/p\u003E\u003Cp\u003E30% - Model Development and Deployment: Design and develop algorithms and models to use against large datasets to create business insights\u003C/p\u003E\u003Cp\u003E20% - Communication and Visualization: Present analysis and resulting recommendations to senior management; Leverage data to present a compelling business case to optimize investments and operations\u003C/p\u003E\u003Cp\u003ENATURE AND SCOPE\u003C/p\u003E\u003Cp\u003EThis position reports to the Senior Manager Data Science.\u003C/p\u003E\u003Cp\u003EThis position has 0 direct reports.\u003C/p\u003E\u003Cp\u003EENVIRONMENTAL JOB REQUIREMENTS\u003C/p\u003E\u003Cp\u003EEnvironment:\u003C/p\u003E\u003Cp\u003ELocated in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.\u003C/p\u003E\u003Cp\u003ETravel:\u003Cbr /\u003E Typically requires overnight travel less than 10% of the time. Additional Environmental Job Requirements:\u003Cbr /\u003E Essential Skills:\u003C/p\u003E\u003C/div\u003E\u003Cdiv data-field=\u0022Postion_Requirement\u0022 class=\u0022Requirement\u0022\u003E\u003Cstrong\u003E\u003C/strong\u003E\u003Cp\u003EMINIMUM QUALIFICATIONS\u003Cbr /\u003E Must be eighteen years of age or older.\u003Cbr /\u003E Must be legally permitted to work in the United States.\u0026nbsp;\u003Cbr /\u003E Additional Minimum Qualifications:\u003C/p\u003E\u003Cp\u003EEducation Required:\u003C/p\u003E\u003Cp\u003EThe knowledge, skills and abilities typically acquired through the completion of a bachelor\u0027s degree program or equivalent degree in a field of study related to the job.\u003C/p\u003E\u003Cp\u003EYears of Relevant Work Experience: 2 years \u003Cbr /\u003E \u003Cbr /\u003E Physical Requirements:\u003C/p\u003E\u003Cp\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/p\u003E\u003Cp\u003EPreferred Qualifications:\u003C/p\u003E\u003Cul\u003E\u003Cli\u003EMaster\u0027s / PhD degree preferred in Computer Science, Statistics, or similar STEM fields\u003C/li\u003E\u003Cli\u003EProficiency in Python\u003C/li\u003E\u003Cli\u003EExperience with developing and deploying production level models in Cloud environments (GCP/AWS)\u003C/li\u003E\u003Cli\u003EComfortable with\u0026nbsp;\u003Cstrong\u003Eboth\u003C/strong\u003E\u0026nbsp;classical machine learning methods as well as deep learning\u003C/li\u003E\u003Cli\u003EStrong foundation of statistical methods / probability theory\u003C/li\u003E\u003Cli\u003EPrevious industry experience with (2) or more of the following;\u003Cul\u003E\u003Cli\u003EAnomaly Detection\u003C/li\u003E\u003Cli\u003ESimilarity Detection\u003C/li\u003E\u003Cli\u003EEntity Recognition \u0026 Entity Resolution\u003C/li\u003E\u003Cli\u003EMultivariate Forecasting\u003C/li\u003E\u003Cli\u003EData Standardization\u003C/li\u003E\u003Cli\u003EData Imputation\u003C/li\u003E\u003Cli\u003EExtreme label classification\u003C/li\u003E\u003C/ul\u003E\u003C/li\u003E\u003C/ul\u003E\u003Cp\u003EAbility to convey complex or technical ideas and processes in easy-to-understand terms to diverse audiences\u003C/p\u003E\u003Cp\u003EExcellent written and verbal communication skills\u003C/p\u003E\u003Cp\u003EAbility 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\u003C/p\u003E\u003Cp\u003EAble to perform in a fast paced, dynamic work environment and meet aggressive deadlines Ability to work with technical and non-technical team members\u003C/p\u003E\u003Cp\u003EKnowledge, Skills, Abilities and Competencies: Action Oriented - Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm\u003C/p\u003E\u003Cp\u003ECollaborates - Building partnerships and working collaboratively with others to meet shared objectives\u003C/p\u003E\u003Cp\u003ECommunicates Effectively - Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences\u003C/p\u003E\u003Cp\u003ECustomer Focus - Building strong customer relationships and delivering customer-centric solutions Drives Results - Consistently achieving results, even under tough circumstances\u003Cbr /\u003E Manages Conflict - Handling conflict situations effectively with minimal noise\u003C/p\u003E\u003Cp\u003ENimble Learning - Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder\u003C/p\u003E\u003C/div\u003E


Posted: 2020-05-29 Expires: 2020-07-27

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Associate Data Scientist, Online

Home Depot
Atlanta, GA 30303

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