Labcorp is hiring a Senior Data Scientist to join their existing team. You will produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. Apply knowledge of statistics, data modeling, data sciences and artificial intelligence to recognize patterns, identify opportunities and make valuable discoveries. Use a flexible, analytical approach to design, develop, and evaluate predictive models. Generate and test hypotheses and be involved from ideation through delivery.
Education/Qualifications: Advance degree is required in Computer Science, Engineering, Statistics, Math or related field. Master's or Ph.D. is preferred but open to Bachelor's Degree. 3-5 years of experience Must be able to provide evidence of relevant research expertise in the form of presentations, software, technical publications, and/or knowledge of applications. Experience: Experience in artificial intelligence and statistical learning Experience with statistical methodologies and machine learning techniques such as: neural networks, graphical models, ensemble methods and natural language processing Experience with multiple deep learning techniques such as CNN, LSTM, RNN, etc., in addition to standard machine learning approaches such as those found in scikit-learn. Master of evaluation techniques for supervised and unsupervised techniques. Knows to evaluate the quality of data and determine gaps in data or assumptions. Proficiency with Python. Can develop meaningful python code using objective oriented programming and functional programming. Writes tests for code. Can debug errors quickly. Strong data visualization skills. Familiarity with one or more machine learning libraries or frameworks such as: PyTorch, Tensorflow. Experience with rational and non-structure databases is highly desirable. Experience using cloud technologies such as AWS with tools such as S3, EC2, Lambda, Athena, etc. Demonstrated success in technical proficiency, scientific creativity, collaboration with others and independent thought. Ability to collaborate with the team and translate existing research into practical solutions and products ability to build and manage relationships with various collaborators across and outside the company. Comfortable working with both technical and non-technical staff to translate concepts and algorithms into working prototypes. Drive project execution and implement a robust plan for measuring success Lead discussions with senior leadership at the department or functional level