Data Science Advisor-Marketing

Job Description:

• Under limited supervision provides expertise and leadership at the enterprise level related to vast quantities of data, enterprise analytics, statistical modeling, and artificial intelligence (AI)/machine learning (ML) initiatives.
  
• 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 less well-defined and highly complex business problems.
  
• Creates and executes solutions from initial concept to fully tested production and communicates results to a broad range of audiences.
  
• Provides thought leadership and leads cross-functional teams in advanced descriptive, diagnostic, predictive and prescriptive modeling, advanced statistical analysis, and other quantitative analysis of complex business situations.
  
• Makes advanced use of current and emerging technologies to evaluate trends and develop actionable insights and recommendations to business partners and management.
  
• Makes advanced use of data, statistical and quantitative analysis, explanatory and high-complexity predictive modeling, and fact-based management to drive decision-making.
  
• Leads cross functional projects and programs, formally preparing and presenting to management.
  
• Provides consultation to management on a regular basis.
  
• Routinely works on multiple complex assignments concurrently.
  
• Mentors less senior staff.

Minimum Qualifications:

• Master's degree in Data Science, analytics, business, mathematics, economics, computer science or other quantitative fields such as engineering/operations research.
  
• Three (3) years work experience in Data Science, analytics, business, mathematics, economics, computer science, or other quantitative fields such as engineering/operations research, in an analytical, quantitative, or technical role.
  
• Two (2) years 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.
  
• Strong problem solving, analytical, and communication skills.
  
• Directly related advanced degrees may offset experience requirements.

Master’s degree in in Data Science, Analytics, Business, Mathematics, Economics, Computer Science or other quantitative fields such as engineering/operations research plus 3 years of experience in the job offered or 3 years of experience in Data Science, analytics, business, mathematics, economics, computer science, or other quantitative fields such as engineering/operations research, in an analytical, quantitative, or technical role.
The employer will alternatively accept a PhD in Data Science, Analytics, Business, Mathematics, Economics, Computer Science or other quantitative fields such as engineering/operations research in lieu of a Master's degree plus 3 years of experience.
The employer will alternatively accept a Bachelor’s degree in Data Science, Analytics, Business, Mathematics, Economics, Computer Science or other quantitative fields such as engineering/operations research plus 5 years of experience in the job offered or 5 years of experience in Data Science, analytics, business, mathematics, economics, computer science, or other quantitative fields such as engineering/operations research, in an analytical, quantitative, or technical role in lieu of a Master's degree plus 3 years of experience. The position requires experience with: Two (2) years 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.; strong problem solving, analytical, and communication skills; working on Microsoft Azure platform; and Econometric modeling method.
Directly related advanced degrees may offset experience requirements.
Position can telecommute from home from any location in the U.S.
Multiple positions available.
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: 04-27-2024

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:

• FORTUNE Magazine: No. 18 among “World’s Most Admired Companies” (2023)
• Newsweek Magazine: One of “America’s Most Responsible Companies” (2023)
• Forbes Magazine: One of “Americas Best Large Employers” (2023)
• Newsweek Magazine: One of "America’s Greatest Work Places for Diversity" (2023)
• FORTUNE Magazine: One of the “Blue Ribbon Companies” that appears on 4+ Fortune Annual Award Rankings (2023)
• FreightWaves: #1 Among the “Top 500 For-Hire Carriers” (2023)
FreightWaves: Freight-Tech 25 Award, honoring innovation and disruption within the freight industry (2023)

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.