The Senior Director, Data Science will have the opportunity to build a team, shape team culture and operating norms as a result of the fast-paced nature of a new, high-growth organization. 

• Strong communication and presentation skills to convey progress to a diverse group of stakeholders


• Strong expertise in data science, data engineering, software engineering, cloud vendors, big data technologies, real time streaming applications, DevOps and product delivery 


• Experience building stakeholder trust and confidence in deployed models especially via application of algorithmic bias, interpretable machine learning, data integrity, data quality, reproducible research and reliable engineering 24x7x365 product availability, scalability


• Expertise in healthcare privacy, federated learning, continuous integration and deployment, DevOps support


• Provide mentoring to data scientists and machine learning engineers as well as career development


• Meet project related team members for individual specific needs on a regular basis related to project/product deliverables


• Provide training and guidance for team members when required


• Provide performance feedback when required by leadership

The Experience You’ll Need (Required):

• MS/M.Tech degree or PhD in Computer Science, Mathematics, Physics or related STEM fields


• Significant healthcare data experience including but not limited to usage of claims data


• Delivered multiple data science and machine learning projects over 8+ years with values exceeding $10 Million or more and has worked on platform members exceeding 10 million lives   


• 9+ years of industry experience in data science, machine learning, and artificial intelligence


• Strong expertise in data science, data engineering, software engineering, cloud vendors, big data technologies, real time streaming applications, DevOps, and product delivery


• Knows how to solve and launch real artificial intelligence and data science related problems and products along with managing and coordinating the business process change, IT / cloud operations, meeting production level code standards


• Ownerships of key workflows part of data science life cycle like data acquisition, data quality, and results    


• Experience building stakeholder trust and confidence in deployed models especially via application of algorithmic bias, interpretable machine learning, data integrity, data quality, reproducible research, and reliable engineering 24x7x365 product availability, scalability


• Expertise in healthcare privacy, federated learning, continuous integration and deployment, DevOps support


• 3+ Years of experience managing directly five (5) or more senior level data scientists, machine learning engineers with advanced degrees and directly made staff decisions     


• Very strong understanding of mathematical concepts including but not limited to linear algebra, advanced calculus, partial differential equations, and statistics including Bayesian approaches at master’s degree level and above


• 6+ years of programming experience in C++ or Java or Scala  and data science programming languages like Python and R including strong understanding of concepts  like data structures, algorithms, compression techniques, high performance computing, distributed computing, and various computer architecture


• Very strong understanding and experience with traditional data science approaches like sampling techniques, feature engineering, classification, and regressions, SVM, trees, model evaluations with several projects over 3+ years


• Very strong understanding and experience in Natural Language Processing, reasoning, and understanding, information retrieval, text mining, search, with 3+ years of hands on experience


• Experience with developing and deploying several products in production with experience in two or more of the following languages (Python, C++, Java, Scala)


• Strong Unix/Linux background and experience with at least one of the following cloud vendors like AWS, Azure, and Google


• Three plus (3+) years hands on experience with MapR \ Cloudera \ Databricks Big Data platform with Spark, Hive, Kafka etc.


• Three plus (3+) years of experience with high-performance computing like Dask, CUDA distributed GPU, TPU etc.


• Presented at major conferences and/or published materials

Finishing Touches (Preferred):

• A PhD degree in Computer Science, Artificial Intelligence, Computational Linguistics, Machine Learning, or related technical field


• Medical concepts with codes from standard ontologies (SNOMED CT, LOINC, RxNorm, ICD, etc.)


• Lucene, Solr, Elastic Search experience


• Experience with Kubernetes and dockers  


• Experience building REST API’s for AI work and knowledge of microservices architecture  


• Experience managing a team of India-based team members and working with US-based counterparts