Dearborn, Michigan, United States Remote (Country)

Ford is hiring a Data Scientist

Responsibilities

  • Apply economic and statistical methods to evaluate internal and external data, such as sales, production, inventory, customer loyalty, and market trends, to support strategic planning.
  • Forecast automotive market dynamics and recommend pricing strategies and marketing initiatives for leadership and operational teams.
  • Create analytics-driven strategies to improve vehicle sales performance and assess risk, with expertise in production, inventory, and customer retention.
  • Handle data cleaning, transformation, and quality assessment in Google Cloud BigQuery and Alteryx using Python and advanced SQL.
  • Design interactive dashboards and reports using Qlik Sense, Vizlib, and Power BI for business insights.
  • Maintain documentation outlining economic models and analytical methodologies.
  • Present findings to stakeholders, including executive leadership with diverse technical backgrounds, using clear communication, effective visualizations, and requirements gathering.

Benefits

  • Immediate access to medical, dental, and prescription drug benefits
  • Flexible family care options, parental leave, new parent support programs, and subsidized backup child care
  • Employee and family vehicle purchase discounts and management lease opportunities
  • Tuition reimbursement for continuing education
  • Active and well-established employee resource groups
  • Paid time allocated for individual and team-based community service
  • Generous paid holiday schedule, including the week between Christmas and New Year's
  • Paid vacation time with option to buy additional days

Responsibilities

  • Apply economic and statistical methods to evaluate internal and external data, such as sales, production, inventory, customer loyalty, and market trends, to support strategic planning.
  • Forecast automotive market dynamics and recommend pricing strategies and marketing initiatives for leadership and operational teams.
  • Create analytics-driven strategies to improve vehicle sales performance and assess risk, with expertise in production, inventory, and customer retention.
  • Handle data cleaning, transformation, and quality assessment in Google Cloud BigQuery and Alteryx using Python and advanced SQL.
  • Design interactive dashboards and reports using Qlik Sense, Vizlib, and Power BI for business insights.
  • Maintain documentation outlining economic models and analytical methodologies.
  • Present findings to stakeholders, including executive leadership with diverse technical backgrounds, using clear communication, effective visualizations, and requirements gathering.

Benefits

  • Immediate access to medical, dental, and prescription drug benefits
  • Flexible family care options, parental leave, new parent support programs, and subsidized backup child care
  • Employee and family vehicle purchase discounts and management lease opportunities
  • Tuition reimbursement for continuing education
  • Active and well-established employee resource groups
  • Paid time allocated for individual and team-based community service
  • Generous paid holiday schedule, including the week between Christmas and New Year's
  • Paid vacation time with option to buy additional days

Other

  • Applicants must be legally eligible to work in the United States; employment verification will be required upon hiring.
  • This organization is an Equal Opportunity Employer. All qualified applicants are considered without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability, or veteran status. For accommodation requests during the application process in the U.S., call 1-888-336-0660.
Required Skills
SQLPythonGitPower BIExcelMarketing Analytics
About company
Ford
Ford Motor Company is an established global automotive manufacturer building a better world through innovative, exciting, and sustainable products and services. The company advances technologies in autonomy, electrification, and smart mobility.
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Job Details
Department Data and Analytics
Category data
Posted 3 months ago