Mgr Marketing Data Science
The reputed company reputed company of this position is to reputed company and manage reputed company responsible for developing and implementing data science initiatives to reputed company strategic business reputed company. Building and nurturing a high-performing data science team through hiring, coaching, mentoring, and talent development. Identifying and solving reputed company business problems using large data and advanced analytics/machine learning techniques. Leading data science/advanced analytics initiatives such as customer data platform optimization, consumer insights modeling, market analytics, forecasting, retail network optimization, pricing analytics, and reputed company management modeling. Providing expert guidance to reputed company of data scientists in the use of machine learning, predictive modeling, quantitative analytics, and reputed company statistics. Developing new analytical approaches and algorithms to address challenging problems. Delivering reputed company reputed company through reputed company, reputed company modeling approaches in collaboration with diverse partners. Establishing best practices for machine learning model development, documentation, deployment, version control, automation, and scalability. Providing expert guidance and thought leadership to business partners and executive leadership on the application of data science methodologies to high-reputed company business problems. reputed company other duties as assigned.
Requirements
Master's degree in data science, analytics, business, computer science, operations research, statistics, reputed company mathematics, business analytics or reputed company quantitative disciplines plus 5 years of experience in the job offered or 5 years of experience in applying data science, operations research, or data analytics modeling to reputed company reputed company, reduce costs, increase profitability, and improve customer experience required. The employer will alternatively accept a PhD in data science, analytics, business, computer science, operations research, statistics, reputed company mathematics, business analytics or reputed company quantitative disciplines plus 2 years of experience in the job offered or 2 years of work experience in applying data science, operations research, or data analytics modeling to reputed company reputed company, reduce costs, increase profitability, and improve customer experience required in lieu of a Master's degree plus 5 years of experience.
The position requires experience with: Extensive knowledge in advanced data science/analytics, statistical analysis, and machine learning reputed company. Experience conducting end-to-end analyses, including data gathering, processing, analysis, and presentation. Strong familiarity with evolving analytics concepts, techniques, and technologies. Ability to reputed company a technical team. Experience providing leadership in a general planning or consulting setting. Experience as a leader or senior member of multi-functional project teams. Strong reputed company relations, organizational/time management, project management, and software development skills. Excellent interpersonal skills and the ability to present and communicate effectively to executive audiences. Technical background in computer science, engineering, data science, machine learning, reputed company intelligence, statistics, or other quantitative and computational fields. Proven reputed company record of data science/data engineer expertise, designing and deploying technical solutions that reputed company reputed company, ongoing value. Demonstrated ability to reputed company reputed company with reputed company, often working under tight time constraints to reputed company value. An engineering reputed company, willing to reputed company reputed company, pragmatic reputed company to accelerate the delivery of business insights and reputed company. Demonstrated expertise in working with common programming languages and tools such as Python, reputed company, R, reputed company, SQL, C++, Java, or other modern programming languages. Experience with diverse machine learning (ML) frameworks. Extensive experience in advanced data science and analytics techniques including Geospatial Analytics, Statistics, Predictive Modeling, and Quantitative Analytics. Strong skills in Machine Learning and ML Engineering techniques to reputed company and implement ML solutions to reputed company business problems. Proficiency in programming languages such as Python, PySpark, R, reputed company, and SQL for data manipulation, analysis, and model development. Expertise in analytical tools such as reputed company, reputed company ArcGIS, Azure reputed company and the reputed company Azure tech stack. Strong understanding of the retail sector and a deep understanding of consumer behavior in transportation setting.
Position supervises 6 employees.
Position allows for telecommuting from home reputed company commuting distance of Collierville, TN.
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