Data Scientist at Independence Blue Cross in Philadelphia, PA

Bring your drive for excellence, team orientation and customer commitment to Independence; help us renew and reimagine our business and shape the future of health care. Our organization is looking to diversify, grow, innovate, and serve, and we are looking for committed, empowered, learning-oriented people to join our team. Independence Blue Cross serves more than 8.5 million people in 25 states... and Washington, D.C., including more than 2.5 million in the Philadelphia, PA region making it the leading health insurance company in the region. Job Summary Independence is seeking a motivated and curious data scientist to join our Advanced Analytics team. The data scientist will join a productive and dynamic data science team that supports all areas of our business with ML applications. In this role you will partner with business areas to identify business problems and translate them into analytic problems that can be answered using advanced ML techniques and build models against administrative medical and pharmacy claims, lab values, demographic data, etc. The successful candidate will have a passion for improving health care access, delivery, and outcomes in a fair and equitable way. Responsibilities and Duties Work with business areas (e.g., clinical services, pharmacy, sales, marketing, product development, actuarial, operations, etc.) to understand business needs that can be addressed by extracting actionable information from available data assets. Build classification, regression, and potentially NLP models that are responsive to business needs Manage end-to-end process from understanding the business problem, selecting training data, model development and evaluation, to delivering/deploying models in the business setting. Present model results through summaries and presentations that tell a succinct, easy to understand story, focusing on key insights/findings relevant to stakeholders' goals and business needs. Contribute to ongoing development of a robust data science pipeline within the Google Cloud environment. Keep current with new technologies, methodologies, and applications related to ML model development and architectures. Contribute to manuscript preparation for peer-reviewed publications. Qualifications and Skills PhD in relevant field, or Master's degree with 2 years of relevant experience Demonstrated expertise in building classification and regression ML models Experience with working with health care administrative claims data (ICD-10, MS-DRG, CPT/HCPCS) Knowledge and experience with Github, Bitbucket, or equivalent versioning systems Excellent written and oral presentation skills Experience with OHDSI tools and the OMOP data models a plus Record of publishing in peer-reviewed journals is a plus Technical Skills Experience developing ML models and pipelines using cloud services from Google Cloud (preferred), AWS, or Azure Experience with ML frameworks/tools such as scikit-learn, pandas, Numpy, caret, TensorFlow, Keras, Spark, Spacy, Pytorch, XGBoost, Caffe/Caffe2, CNTK, etc. Experience with NLP tools/methods including OpenNLP, Stanford NLP, LSA, LDA, Gensim, FastText, NLTK, spaCy, etc. Knowledge of state-of-the-art ML algorithms such as BERT, ELMo, GPT, GPT-2, XLNET, T5, LSTMs, CRFs, etc., API's, and open-source methods. Knowledge and experience with Github, Bitbucket, or equivalent versioning system. Salary Range: $80K -- $100K Minimum Qualification Data Science & Machine LearningEstimated Salary: $20 to $28 per hour based on qualifications