Data Scientist

Our top client in the travel/transportation industry is searching for a Data Scientist to join their team! Ideal candidates have 2+ years of experience in Data Science and a PhD (Master's degree minimum required) with a strong background in mathematics and deep learning. You will be working end-to-end with a small team to support a variety of internal initiatives for the company. This is a great opportunity to join a growing team within a global enterprise-level corporation! • Candidates must currently be located in the Greater St. Louis area. This is a hybrid position with onsite as needed. 1+ year contract position with benefits available OR can be a direct placement opportunity for the right candidate • Cannot work C2C or 3rd party • Required Qualifications • Authorized to work in the United States without current or future sponsorship requirements • Must be located in the Greater St. Louis area • Master's degree in a statistical, mathematical, engineering, social science, or related quantitative field • 2+ years of experience with predictive modeling, statistical inference, and deep learning techniques • Experience using deep learning frameworks such as TensorFlow or PyTorch • Proficiency with Python or R • Experience presenting technical concepts and analytical findings to both technical and non-technical audiences • Strong analytical, problem-solving, and communication skills • Commitment to incorporating security considerations into daily responsibilities Preferred Qualifications • Doctorate degree in a statistical, mathematical, engineering, social science, or related quantitative field • Experience designing and analyzing experiments • Experience with data exploration and visualization techniques • Experience working in Linux/Unix environments • Experience writing and optimizing SQL queries • Experience integrating and managing data from multiple sources and formats • Experience applying causal inference methodologies, including matching, weighting, or related techniques • Familiarity with deploying and operationalizing machine learning models