Senior Data Scientist

- Senior

About the position

When you join the growing BILH team, you're not just taking a job, you’re making a difference in people’s lives. Senior Data Scientist will work on a team focused on machine learning, predictive analytics and related projects, use machine learning frameworks in both development, testing and production environments to create and deploy new technologies. This role will perform research and development of advanced analytics solutions in healthcare, create machine learning algorithms to optimize and deliver results by reducing computational complexity and increasing the accuracy of models and improving on business metrics. Interact with subject matter experts to uncover important insights and build on concepts in statistics, optimization, and machine learning to improve patient and provider experiences. This role is responsible for building reliable and scalable production machine learning services which will be integrated with EHR systems, working on feature engineering, statistical analysis, developing novel ML techniques, understanding classifier performance, and ensuring fit-for-purpose, working cross-functionally across diverse stakeholders, including developers, data engineers, EHR specialists and physicians. This position may be assigned to work on special projects, and other job duties, as needed.

Responsibilities

• Collaborates with business stakeholders to identify business problems requiring advanced analytics; develop, evaluate and implement machine learning models to improve business operations.
• Collaborates with Software Engineering, Data Engineering team and clinical team to structure and normalize data from medical records EHR systems and other data enrichment sources and develop an automate ML pipeline.
• Works on feature engineering, statistical analysis, develop novel ML techniques, understanding classifier performance, and ensuring fit-for-purpose.
• Create machine learning algorithms to optimize and deliver results, perform hyper-parameter tuning, and evaluated model performance.
• Works with EHR system Cognitive Computing platform to improve predictions about patient outcomes, focuses on configuring, operationalizing, and reporting on vendor developed models.
• Visualizes and interpreted data and model results and provide written summaries of the analysis.
• Use machine learning frameworks in both development, testing and production environments to create and deploy reliable and scalable production machine learning services which will be integrated with EHR systems.
• Works on all parts of the machine learning project lifecycle from dataset curation to model deployment.
• Performs all other duties as needed or directed to meet the needs of the department and or customer.
• Achieves and maintains required certifications (if applicable).

Requirements

• Bachelor's degree in Computer Science, Data Science, or a related engineering discipline required; Master's degree preferred.
• 5-8 years related work experience required in a senior technical role.
• Industry experience in software engineering and/or data science; deep understanding of Data Structures and Algorithms.
• Experience designing and developing scalable distributed systems with understanding of architectural and design patterns, object-oriented design, modern program languages.
• Solid understanding of foundations of Big Data systems and hands-on experience with distributed computational frameworks: Apache Spark / Apache Beam and NoSQL datastores.
• Experience with working on large data sets, especially with Spark.
• Experience with Python and Java.
• Experience with cloud computing platforms such as AWS or GCP. Experience with Kubernetes.
• Deep knowledge of parallelism and concurrency to leverage modern hardware for serving ML models.
• Working knowledge of Unix/Linux systems.
• Ability to access, manage, transfer, integrate and analyze complex datasets, especially using SQL.
• Proficient with libraries such as pandas, TensorFlow, scikit-learn, Keras.
• Advanced technical computer skills as required for technical support specific to functional area and related systems.

Nice-to-haves

• Knowledge and experience using basic and intermediate project management tools and techniques.
• Strong programming skills with fluency in at least one of Python, Java, Scala, C/C++.
• Familiar with industry standard software engineering practices and systems knowledge.
• Candidate will have a proven track record of producing quality deliverables on time, taking ownership and accountability of assignments and demonstrating a strong work ethic.

Benefits

• Comprehensive compensation and benefits.
• Support for achieving a healthy and balanced life.