[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.ResponsibilitiesDesign analytical solutions that harness internal and external data, and leverage visualizations, predictive analytics, and prescriptive methodsCollaborate 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 FordEvaluate 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 problemsDevelop 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 dataDevelop and deliver analytic products using skills such as statistical analysis, machine learning, algorithm design, and interface developmentInterpret modelling results and communicate them to technical and non-technical audiences, cross functional teams, and leadershipEnsure the overall quality of the data solutions throughout the analytic development processSkillsBachelor'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 occupation2 years of experience with each of the following skills is required: Develop machine learning algorithm for business requirements using PySpark2 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 decisions2 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 forest1 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 models1 year of experience with each of the following skills is required: Translation of automotive business problems into appropriate mathematical representations, predictive and optimization models1 year of experience with each of the following skills is required: Python Statistical software packages1 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 challenges1 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 sensorsBenefitsImmediate medical, dental, and prescription drug coverageFlexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care and moreVehicle discount program for employees and family members, and management leasesTuition assistanceEstablished and active employee resource groupsPaid time off for individual and team community serviceA generous schedule of paid holidays, including the week between Christmas and New Year's DayPaid time off and the option to purchase additional vacation time.Company OverviewWe don't just make history -- we make the future. It was founded in 1903, and is headquartered in Dearborn, Michigan, USA, with a workforce of 10001+ employees. Its website is https://www.ford.com.