The Global Data Insights and Analytics (GDI&A) Quality Analytics team is looking for a data scientist with expertise developing and deploying analytics solutions. As a member of this dynamic team, you will have the opportunity to work with some of the brightest global subject matter experts in vehicle quality and vehicle connectivity who are transforming the automobile industry.
We are seeking a Data Scientist to lead or assist in AI/ML model development and deployment to support vehicle quality improvement and warranty reduction, by leveraging connected vehicle data and other data sources to predict emerging customer concerns. You will be expected to work with AI/ML experts and IT team to choose the right software architecture and implement the AI/ML solution. We are seeking independent thinkers with a technical mindset who have a passion for learning and applying cutting edge technologies.
You will be responsible for providing the data analytics support for projects, including assembly of data for building models, building data pipelines, and performing predictive/prescriptive analytics, and building POC web applications. More specifically, you will:
Collaborate with Product Development and Quality experts to understand their requirements and overall business needs and translate high-level ideas into well-defined mathematical problems
Collaborate with IT partners to ensure that the AI/ML solutions are deployed seamlessly
Identify key data elements to extract/decode/analyze. Understand which elements of large data sets can be most effectively leveraged in the analytic models and what potentially useful information may be missing.
Applying advanced analytical solutions (including machine learning and statistical models), and conduct analysis that consists of problem formulation, data extraction and pre-processing, modeling, validation, ongoing deliverables, and presentations.
Manipulate high-volume, high-dimensional structured and unstructured data from a variety of sources and implement algorithms to identify anomalies, relationships, and trends
Collaborate internally and externally to identify new and novel data sources and explore their potential use in developing actionable business insight
Explore emerging technologies and analytic solutions for use in quantitative model development and deployment
Develop complete system designs that include data, pre-processing, modeling, optimization, post-processing and interfaces for user interaction.
Interpret modeling results and communicate them to technical and non-technical audiences, cross-functional teams and leadership
Bachelor’s degree in Industrial and Systems Engineering, Electrical Engineering, Computer Science, Operations Research, Statistics, Economics, Mathematics, Physics, or a related quantitative field
Experience in a data analytics role including running queries, compiling data, and manipulating data from separate sources to form unified sets for analysis.
Experience in predictive analytics including machine learning and experience writing algorithms in Python, Scala, or similar languages.
Experience in at least one of the following languages: Python, R, PySpark, Java, Matlab, C/C++, SQL, or similar languages.
MS or PhD in Industrial and Systems Engineering, Electrical Engineering, Computer Science, Operations Research, Statistics, Economics, Mathematics, Physics, or a related quantitative field
2+ years of experience with Python, SQL, Spark, Hadoop, or Google Cloud Platform
Experience with Machine Learning methods and tools, including but not limited to: linear and nonlinear regression, classification, and clustering (Relevant university course projects qualify)
1+ year of work experience (in a non-academic setting) involving complex quantitative modeling and analysis in any of the areas mentioned under Basic Qualifications
Demonstrated ability in the application of Machine Learning to real-world industrial settings with large scale data
Experience with modeling frameworks, such as DataRobot, Domino, etc.
Proficient with version control systems such as Git, as well as agile software development and DevOps tools
Strong oral, written, and interpersonal communication skills and an ability to work in a collaborative team setting
Familiarity with web development backend frameworks such as Python Flask or Java SpringBoot, and frontend frameworks such as Angular
Comfortable working in a fast-paced and innovative environment where problems are not always well-defined
Well-organized, a self-starter, independent and ready to work with minimal supervision
Excellent programming skills, particularly in interface development using Python is very desirable
Ford is a family company, one that spans the globe and has shared ideals. We value service to each other and the world as much as to our customers. Generations have made their memories with us and included us in their hopes and dreams. After 117 years, we’re used to adapting to and leading change. That’s why we’re evolving to focus on services, experiences and software as well as vehicles.