Role: Lead Data Scientist
Location: Auburn, MI or Houston, TX
Required Technical and Professional Expertise:
Ability to thrive in challenging situations and solve complex problems. Innate and insatiable curiosity about emerging technologies, with the ability to quickly learn and exploit cutting-edge offerings to achieve business objectives. Expertise in delivering multiple analytics solutions or applications/tools. Ability to take initiative and deliver results.
The successful applicant should be able to show expertise in some of these areas:
Development of machine learning models, validation and maintenance using Python. Data preprocessing, harmonization, and feature engineering to prepare modeling datasets. Knowledge of cloud computing environment such as Microsoft Azure required for developing and implementing data science solutions. Supervised and unsupervised learning techniques. Deep learning techniques.
A minimum of a PhD in Data Science, Business Analytics, Computer science, Statistics, or other relevant discipline. A minimum 3 years of experience in data analytics, modeling, machine learning, or other related field. Hands-on experience on data science projects including querying databases using SQL, programming, analytics model development and implementation, using Python, R, or equivalent environment (Pandas, NumPy, SciPy, and Scikit-learn).
Experience developing in the Azure environment. Knowledge of one or more business domains such as supply chain, marketing, finance.