Data Scientist

We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves and build a better world -- together. At Ford, we’re all a part of something bigger than ourselves. Are you ready to change the way the world moves? 

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 team with varied strengths, you will have the opportunity to work with some of the brightest global domain experts in vehicle quality and vehicle connectivity who are transforming the automobile industry.

Our ideal candidate will lead or assist in AI/ML model development and deployment to support vehicle quality improvement and warranty reduction, by using connected vehicle data and other data sources to predict emerging customer concerns. You will be encouraged 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 problem solvers with a technical mentality who have a passion for learning and applying groundbreaking technologies.

What you'll do...

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, Manufacturing 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 demonstrated 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 work, 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 (preferred)

Collaborate internally and externally to identify new and novel data sources and explore their potential use in developing concrete business insight

Explore new 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, multi-functional teams and leadership

You'll have... 

Bachelor’s degree in Computer Science, Data Science, Statistics, Physics, Mathematics or Engineering degree or a related field of study 

2 + years experience in a data analytics role including running queries, compiling data, and manipulating data from separate sources to form unified sets for analysis.

2+ years experience in predictive analytics including machine learning and experience writing algorithms in Python, Scala, or similar languages.

2+ years experience in at least one of the following languages: Python, PySpark, SQL, or similar languages.

Even better, you may have...

MS or PhD in Computer Science, Electrical Engineering or a related field

3+ years of experience with Python, SQL, or Google Cloud Platform

3+ years of experience with Machine Learning methods and tools, including but not limited to: regression, classification, and clustering

1+ year of experience with implementing time-series analysis, reinforcement learning, and deep learning techniques

1+ year of work experience (in an industry 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

Proficient with version control systems such as Git, as well as agile software development and DevOps tools

Excellent programming skills, particularly interface development to generate data visualizations and to extract insights from large complex data sets, is very desirable

Strong interpersonal and leadership skills, with proven abilities to communicate complex topics to leaders and peers in a simple, clear, plan oriented manner

Comfortable working in a fast-paced and innovative environment 

Well-organized, a self-starter, independent and ready to work with minimal direction

Ability to work