<ul><li>Under moderate supervision provides expertise at the enterprise level related to vast quantities of data (including disparate data), enterprise analytics, statistical modeling, and artificial intelligence (AI)/machine learning (ML) initiatives.</li><li>Uses expert knowledge of data on customers, consumers, economy, external demand drivers, market, and competition (structured and unstructured) and internal business processes to develop analytical solutions to relatively well-defined and lower complexity business problems.</li><li>Creates and executes solutions from initial concept to fully tested production and communicates results to a broad range of audiences.</li><li>Provides thought leadership and leads cross-functional teams in descriptive, diagnostic, predictive and prescriptive modeling, advanced statistical analysis, and other quantitative analysis of complex business situations.</li><li>Makes use of current and emerging technologies to evaluate trends and develop actionable insights and recommendations to business partners and management.</li><li>Makes use of data, statistical and quantitative analysis, explanatory and high-complexity predictive modeling, and fact-based management to drive decision-making.</li><li>Leads cross functional projects and programs, formally preparing and presenting to management.</li><li>Provides consultation to management on a regular basis.</li><li>Routinely works on multiple assignments concurrently.</li><li>Mentors less experienced staff.</li></ul> Minimum Qualifications: <ul><li>Master's degree in data science, analytics, business, mathematics, economics, computer science or other quantitative fields such as engineering/operations research.</li><li>Two (2) years work experience in business, mathematics, economics, computer science, or other quantitative fields such as engineering/operations research, in an analytical, quantitative, or technical role.</li><li>One (1) year of experience or coursework with the following skills (skills can be gained concurrently with education): computer-aided decision support (utilize computer programs or packages to analyze data and support business decisions), or any analytical/modeling language (e.g. Python, R, SAS, or SQL), and data visualization tools like Tableau, PowerBI, Spotfire, etc.</li><li>Strong problem solving, analytical, and communication skills.</li><li>Directly related advanced degrees may offset experience requirements.</li></ul> Skills/Knowledge/Experience Considered a Plus: <ul><li>Expertise in developing solutions that enable data driven insight generation.</li><li>Broad experience in all aspects of data analysis including data engineering, wrangling, analytical modeling, presentation, and storytelling.</li><li>Strong skills in data science and machine learning methods. Experience with predictive modeling, prescriptive modeling, optimization, machine learning and deep learning based forecasting, big data processing, building and deploying machine learning models, and Azure or other cloud platforms.</li><li>Understanding of business concepts relevant to revenue management, marketing, and finance.</li><li>Experience in leading cross-functional teams to design and execute commercial strategy.</li><li>Strong intellectual curiosity, communication skills, and interpersonal skills.</li></ul> Job Specific Information: <ul><li>Provide Data Science and Machine Learning leadership to develop the Dynamic Pricing and Pricing Optimization models by collaborating with the Data Engineering team, technology partners and the business stakeholders.</li><li>Generate new advanced quantitative, scientific, statistical and machine learning approaches to business analysis related to customer analytics, market analysis, optimization, and forecasting in support of the enterprise's global strategies.</li><li>Identify pricing related performance metrics, and present insights to the senior leadership through visual storytelling tools.</li></ul> Work Location(s)/ Domicile: <ul><li>Position will be hybrid in Collierville, TN, Harrison, AR, Plano, TX, Lakeland, FL or Pittsburgh, PA and candidates must live within a reasonable commutable distance. This position is hybrid, meaning that employees must be onsite as directed by leadership but allows team members flexibility to work from home otherwise.</li></ul> Additional Information Upload current copy of Resume (Microsoft Word or PDF format only) and answer job screening questionnaire by close of business (5:00pm CST) on the date below. If the date below is blank, there is no specified closing date for this requisition. Job Posting End Date: 11-13-2023 FedEx. Where now meets next. Our vision is to be the earth's most engaged advocates of connected commerce where open borders, new markets and fair, sustainable practices are the norm for the billions of personal supply chains being managed every day in our always on, mobile-first world. We stand for ease, access and opportunity. We lead purposeful innovation, champion entrepreneurs, advocate free trade and empower humans and their place in the era of autonomy and AI. We fight for our customers, a more sustainable planet and an ethical playing field. FedEx inspires its more than 530,000 employees to remain focused on safety, the highest ethical and professional standards and the needs of their customers and communities. FedEx is committed to connecting people and possibilities around the world responsibly and resourcefully, with a goal to achieve carbon-neutral operations by 2040. FedEx has been recognized on many different lists both for business success and for being a great employer: <ul><li>FORTUNE Magazine: No. 18 among "World's Most Admired Companies" (2023)</li><li>Newsweek Magazine: One of "America's Most Responsible Companies" (2023)</li><li>Forbes Magazine: One of "Americas Best Large Employers" (2023)</li><li>Newsweek Magazine: One of "America's Greatest Work Places for Diversity" (2023)</li><li>FORTUNE Magazine: One ofthe "Blue Ribbon Companies" that appears on 4+ Fortune Annual Award Rankings (2023)</li><li>FreightWaves: #1 Among the "Top 500 For-Hire Carriers" (2023)</li><li>FreightWaves:Freight-Tech 25 Award, honoring innovation and disruption within the freight industry (2023) </ul> FedEx Services is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, genetics disability, or protected Veteran status. FedEx Services does not discriminate against qualified individuals with disabilities in regard to job application procedures, hiring, and other terms and conditions of employment. Further, FedEx Services is prepared to make reasonable accommodations for the known physical or mental limitations of an otherwise qualified applicant or employee to enable the applicant or employee to be considered for the desired position, to perform the essential functions of the position in question, or to enjoy equal benefits and privileges of employment as are enjoyed by other similarly situated employees without disabilities, unless the accommodation will impose an undue hardship. If a reasonable accommodation is needed, please contact recruitmentsupport@fedex.com.

Job Description Under minimum supervision, assumes lead roles in medium revenue threshold projects. Key contributor to analyze business problems of up to…

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Data Scientist Jobs in Collierville, TN

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