30+ days ago


Dearborn, MI


Position Description:

Quality Analytics Data Scientist Job Description: Job Responsibilities: Work with business stakeholders to translate business goals into technical solutions Propose and implements appropriate statistical or ML approaches or algorithms to deliver actionable insights from a variety of data sources Apply techniques from artificial intelligence or statistical learning to detect anomalies in on-road quality and other internal data sources Write reliable, scalable and maintainable code primarily in python Work closely with software development teams to communicate requirements and ensure the quality of end-to-end deliverables of developed analytical solutions Communicate and present models to business customers and senior managers Explore emerging technologies and analytics solutions for use in quantitative model development

Skills Required:

  • Strong proficiency in Python, R or other scripting language Familiarity with a wide range of computationally intensive statistical methods, including bootstrap inference, cross-validation to estimate prediction errors, Markov Chain, Monte Carlo, etc. Experience with SQL

Skills Preferred:


Experience Required:

  • 2+ years of hands-on experience in predictive model development Experience with statistical inference in the context of large data sets; familiarity with large-scale hypothesis testing, control of false discovery rates Experience working with a wide range of Data Science and Machine Learning frameworks such as Keras, Tensorflow, Scikit-Learn, Pandas/Numpy, etc. Experience gained during PhD may be considered

Education Required:

Masters in Computer Science, Statistics, Engineering, or other data-related fields