[Remote] Data Scientist - Supply Chain Analytics

Note: The job is a remote job and is open to candidates in USA. Ford Motor Company believes in freedom of movement driving human progress and is seeking a Data Scientist - Supply Chain Analytics to join their Global Data Insight & Analytics team. The role involves designing analytical solutions, collaborating with various departments, and utilizing data to provide actionable insights that can transform the business.

Responsibilities

• Design analytical solutions that harness internal and external data, and leverage visualizations, predictive analytics, and prescriptive methods
• Collaborate with partners in purchasing, product development, manufacturing, warranty, material planning, logistics and other Ford functions to define problems, identify data, develop data pipelines, develop machine learning algorithms, leverage operations research techniques, and deploy software solutions to provide actionable insights that deliver measurable, transformational benefits to Ford
• Evaluate large, complex data sets using tools, including SQL, Hadoop, Alteryx, Python, R, and sophisticated statistical and machine learning techniques, to develop solutions for real world, non-routine, large-scale analytics problems
• Develop and deliver business solutions using skills, such as data acquisition, data engineering, programming, and visualization, as well as design intuitive visual interfaces for users to interact with data
• Develop and deliver analytic products using skills such as statistical analysis, machine learning, algorithm design, and interface development
• Interpret modelling results and communicate them to technical and non-technical audiences, cross functional teams, and leadership
• Ensure the overall quality of the data solutions throughout the analytic development process

Skills

• Bachelor's degree or foreign equivalent in Computer Science, Data Science, Statistics, Chemistry or a related field and 2 years of experience in the job offered or related occupation
• 2 years of experience with each of the following skills is required: Develop machine learning algorithm for business requirements using PySpark
• 2 years of experience with each of the following skills is required: Natural language processing from pure text data, for pattern recognition or predictive analytics to help supply chain group to predict future trends and make more informed business decisions
• 2 years of experience with each of the following skills is required: Design proper algorithm and develop or refine analytical models using at least 5 of the following skills: linear regression, logistic regression, generalized linear regression, time series forecasting models, decision tree, regression tree, or random forest
• 1 year of experience with each of the following skills is required: Perform Data modelling and Optimization by Formulating and translating detailed business cases into mathematical/statistical problems with mathematical abstractions, and appropriate analytical optimization models
• 1 year of experience with each of the following skills is required: Translation of automotive business problems into appropriate mathematical representations, predictive and optimization models
• 1 year of experience with each of the following skills is required: Python Statistical software packages
• 1 year of experience with each of the following skills is required: Using SQL and Python for acquiring, transforming real-world data, performing data cleaning, data collection or other data wrangling challenges
• 1 year of experience with each of the following skills is required: Working in a connected vehicle environment, experience with VIN-related vehicle attributes and Hands-free driving analytics including vehicle state, weather, terrain, and even road features with connected vehicle sensors

Benefits

• Immediate medical, dental, and prescription drug coverage
• Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care and more
• Vehicle discount program for employees and family members, and management leases
• Tuition assistance
• Established and active employee resource groups
• Paid time off for individual and team community service
• A generous schedule of paid holidays, including the week between Christmas and New Year's Day
• Paid time off and the option to purchase additional vacation time.

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