1+ months


Houston, TX 77002
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\u003Cdiv data-field=\u0022Position_Description\u0022 class=\u0022Summary\u0022\u003E\u003Cstrong\u003EPOSITION PURPOSE:\u003Cbr /\u003E\u003C/strong\u003E\u003Cstrong\u003EGlobal Custom Commerce is looking for a Data Scientist who will support our product, sales, leadership and marketing teams with insights gained from analyzing company data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.\u003C/strong\u003E\u003Cstrong\u003E\u003Cbr /\u003E\u003C/strong\u003E\u003Cbr /\u003E \u003Cbr /\u003E \u003Cstrong\u003EMAJOR TASKS, RESPONSIBILITES AND KEY ACCOUNTABILITIES\u003C/strong\u003E\u003Cbr /\u003E 30%-Design, develop, and implement advanced analytical architectures to enable business insights \u003Cbr /\u003E 20%-Codes, Analyzes and Interprets advanced analytical methods applied to data from various sources. Compiles reports, charts, and tables based on business requirements. \u003Cbr /\u003E 20%-Utilize, enhance, and support the Home Depot Advanced Analytics Process Framework in projects. Assist in the evaluation of software, technologies, and platforms to optimize the advanced analytical environment. Function as a technical liaison between the business and various I.T. functional leads for advanced analytical project \u003Cbr /\u003E 20%-Consult with business teams on the appropriate selection, utilization, and interpretation of advanced statistical methodologies. \u003Cbr /\u003E 5%-Assist project teams with the creation and review of relevant project artifacts, particularly in respect to I.T. Review Board tollgates. \u003Cbr /\u003E 5%-Communicate and educate technical and non-technical employees on advanced analytics.\u003Cbr /\u003E \u003Cbr /\u003E \u003Cstrong\u003ENATURE AND SCOPE\u003C/strong\u003E\u003Cbr /\u003E This position reports to Manager or Sr Manager \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\u003E\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\u003C/strong\u003E\u003Cbr /\u003E \u003Cstrong\u003EEducation Required:\u003C/strong\u003E\u003Cbr /\u003E The 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.\u003Cbr /\u003E \u003Cbr /\u003E \u003Cstrong\u003EYears of Relevant Work Experience: \u003C/strong\u003E7 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 Extensive work experience with large database platforms (e.g., Teradata, ParAccel, Hadoop, Mahout, Cassandra, etc.) or other similar platforms \u003Cbr /\u003E Broad Experience in Data Modeling \u003Cbr /\u003E Broad Experience with Business Requirements Analysis \u003Cbr /\u003E Broad Experience with Business Intelligence reporting \u003Cbr /\u003E Broad Experience with analytical application design\u003Cbr /\u003E \u003Cbr /\u003E \u003Cstrong\u003EPreferred Qualifications:\u003C/strong\u003E\u003Cbr /\u003E\u003Cul\u003E\u003Cli\u003EStrong problem solving skills with an emphasis on product development.\u003C/li\u003E\u003Cli\u003EExperience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.\u003C/li\u003E\u003Cli\u003EExperience working with and creating data architectures.\u003C/li\u003E\u003Cli\u003EKnowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.\u003C/li\u003E\u003Cli\u003EKnowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.\u003C/li\u003E\u003Cli\u003EExcellent written and verbal communication skills for coordinating across teams.\u003C/li\u003E\u003Cli\u003EA drive to learn and master new technologies and techniques.\u003C/li\u003E\u003Cli\u003EKnowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.\u003C/li\u003E\u003Cli\u003EExperience querying databases and using statistical computer languages: R, Python, SLQ, etc.\u003C/li\u003E\u003Cli\u003EExperience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.\u003C/li\u003E\u003Cli\u003EExperience analyzing data from 3rd party providers: Adobe Analytics, Site Catalyst, Coremetrics, Adwords, Salesforce, Facebook Insights, LivePerson etc.\u003C/li\u003E\u003Cli\u003EExperience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.\u003C/li\u003E\u003Cli\u003EExperience visualizing/presenting data for stakeholders using: Tableau / Powerpoint.\u003C/li\u003E\u003Cli\u003EMaster\u0027s Degree in Statistics, Math or related quantitative field\u003C/li\u003E\u003C/ul\u003E\u003Cbr /\u003E \u003Cstrong\u003EKnowledge, Skills, Abilities and Competencies:\u003Cbr /\u003E \u003C/strong\u003EAbility to design and implement advanced analytical applications \u003Cbr /\u003E Programming skills \u003Cbr /\u003E Statistical Analysis skills \u003Cbr /\u003E Data Visualization skills \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

Jobs Rated Reports for Data Scientist

Posted: 2020-08-19 Expires: 2020-11-09
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Home Depot
Houston, TX 77002

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

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