4 days old

Senior Data Scientist - BlackLocus

Austin, TX 78701
\u003Cdiv data-field=\u0022Position_Description\u0022 class=\u0022Summary\u0022\u003E\u003Cstrong\u003EPOSITION PURPOSE\u003C/strong\u003E\u003Cbr /\u003E The Sr. Data Scientist will lead a team to develop the analytical infrastructure and computational capabilities that drive decision making and maximize the organizations profitability. By partnering with business leaders and software engineers to leverage company and industry data, the data scientist will develop predictive systems and algorithms for identifying trends and providing business solutions. The Sr. Data Scientist is an integral part of the Pricing Team. The data scientists team\u0027s primary focus is driving data analytics and predictive modeling on large datasets to extract meaningful business information using statistics and machine learning techniques.\u003Cbr /\u003E \u003Cstrong\u003E\u003Cbr /\u003E MAJOR TASKS, RESPONSIBILITES AND KEY ACCOUNTABILITIES\u003C/strong\u003E\u003Cbr /\u003E 25% Design and develop algorithms and models to use against large datasets to create business insights. \u003Cbr /\u003E 25% Provide direction on prioritization of work, ensure quality of work outputs, and develop the competencies of direct reports. \u003Cbr /\u003E 20% Establishing scalable, efficient processes for large scale data analyses, model development and model implementation \u003Cbr /\u003E 20% Solve problems creatively with strategic insights. Leverage data to present a compelling business case to optimize price points. \u003Cbr /\u003E 10% Remain knowledgeable on advancements in data science and machine learning. Identify opportunities to apply learnings.\u003Cbr /\u003E \u003Cstrong\u003E\u003Cbr /\u003E NATURE AND SCOPE\u003C/strong\u003E\u003Cbr /\u003E Position reports to Director Engineering BL Lab \u003Cbr /\u003E Number of direct reports = 1\u003Cbr /\u003E \u003Cstrong\u003E\u003Cbr /\u003E ENVIRONMENTAL 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 \u003Cbr /\u003E \u003Cstrong\u003EEducation Required:\u003C/strong\u003E\u003Cbr /\u003E The knowledge, skills and abilities typically acquired through the completion of a PhD program in a field of study related to the job.\u003Cbr /\u003E \u003Cstrong\u003E\u003Cbr /\u003E Years of Relevant Work Experience: \u003C/strong\u003E6 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 \u003Cstrong\u003E\u003Cbr /\u003E Additional Qualifications:\u003C/strong\u003E\u003Cbr /\u003E PhD in Computer Science, Math or related quantitative field. \u003Cbr /\u003E Expert knowledge in manipulating massive datasets, statistical analysis and predictive modeling.\u003Cbr /\u003E \u003Cstrong\u003E\u003Cbr /\u003E Preferred Qualifications:\u003C/strong\u003E\u003Cbr /\u003E Experience in data mining, data analysis and predictive modeling \u003Cbr /\u003E Previous work experience in business intelligence and data analytics \u003Cbr /\u003E Proven experience utilizing statistical techniques to identify key insights from data to solve business problems\u003Cbr /\u003E \u003Cstrong\u003E\u003Cbr /\u003E Knowledge, Skills, Abilities and Competencies:\u003C/strong\u003EAbility 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, decision making environment and meet aggressive timelines\u003C/div\u003E


Posted: 2019-11-07 Expires: 2019-12-11

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Senior Data Scientist - BlackLocus

Home Depot
Austin, TX 78701

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