Data Scientist

• Responsibilities: Design and develop new ML/Natural Language Processing (NLP) models.
• Design, train, and implement ML/deep learning architectures.
• Establish evaluation metrics, analyze performance, brainstorm on future steps/expansion, and perform Exploratory Data Analysis (EDA) and data visualization.
• Build multi-feature ML classification model for various clinical programs/clients.
• Design and develop natural language processing (NLP) models to work on unstructured medical records to improve our in-house algorithms.
• Oversee delivery of results with analytic insights, interpretations, and recommendations.
• Review analytic deliverables; identify and resolves data issues and provide recommendations for investigations.
• Design, develop-evolve, and implement processes and procedures to ensure compliance with governance policies.
• Propose new and state-of-the-art technologies and processes that will improve efficiency and enhance the reporting platform.
• Position may work at various and unanticipated worksites throughout the United States. Telecommuting permitted.

Qualifications: Requires Master’s degree in Information Systems, Computer Science, Computer Engineering or a related quantitative technical field plus three (3) years of Experience as a Data Scientist or a related occupation.

Must have at least three (3) years of experience with the following:

• Building machine learning/NLP models.
• Building and deploying ML classification models using Python and ML libraries including, TensorFlow, Keras, Scikit-Learn, and PyTorch.
• Statistics, segmentation, clustering, linear and logistic predictive models, and machine learning models, including Random Forest and Ensemble.
• Distributed data warehouses or data lakes.
• Cloud database.
• Building and implementing Neural networks and Deep Learning models.
• Performing statistical analysis, data exploration, and data visualization using Python and ML libraries, including Numpy, Pandas, and Matplotlib.
• Gathering, preprocessing and compiling data from various sources using SQL.

Alternatively, the employer also accept a Bachelor’s degree in Information Systems, Computer Science, Computer Engineering or a related quantitative technical field plus five (5) years of experience as a Data Scientist or a related occupation in lieu of a Master’s degree plus three (3) years of described experience.

Must have at least five (5) years of experience with the following:

• Building machine learning/NLP models.
• Building and deploying ML classification models using Python and ML libraries including, TensorFlow, Keras, Scikit-Learn, and PyTorch.
• Statistics, segmentation, clustering, linear and logistic predictive models, and machine learning models, including Random Forest and Ensemble.
• Distributed data warehouses or data lakes.
• Cloud database.
• Building and implementing Neural networks and Deep Learning models.
• Performing statistical analysis, data exploration, and data visualization using Python and ML libraries, including Numpy, Pandas, and Matplotlib.
• Gathering, preprocessing and compiling data from various sources using SQL.

40 hours/week, 9:00am-5:00pm, Salary range: $173,000 to $175,000 per year.