Description

The Cognitive/Machine Learning Lead leverages large sets of structured and unstructured data to develop tactical and strategic insights. The Cognitive/Machine Learning Lead works on problems of diverse scope and complexity ranging from moderate to substantial.

Responsibilities

Humana’s Digital Health & Analytics' Team is seeking a Lead Data Scientist to join their team in Boston, MA.

The Team is will be building state of the art AI solutions in healthcare.

You would be part of an exceptional multidisciplinary team, focused on deep learning, recommender systems, reinforcement learning, and voice-to-text. Great opportunity to touch on different aspects of AI, share and learn from the team. Our dream is to bring personalized care and health insurance into reality.

The Lead Data Scientist develops, maintains, and collects structured and unstructured data sets for analysis and reporting. Creates reports, projections, models, and presentations to support business strategy and tactics. Advises executives to develop functional strategies (often segment specific) on matters of significance. Exercises independent judgment and decision making on complex issues regarding job duties and related tasks, and works under minimal supervision, Uses independent judgment requiring analysis of variable factors and determining the best course of action.

This role uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Lead Data Scientist works on problems of diverse scope and complexity ranging from moderate to substantial. The Lead Data Scientist must also be able to communicate complex quantitative analyses in a clear, precise, and actionable manner to management and executive level audiences.

Required Qualifications

• Master's Degree
• 4+ years technical experience
• 2+ years project leadership experience
• A very strong machine learning background with deep structured learning/hierarchical learning and statistical modeling techniques
• Obtaining data from multiple, disparate data sources including structured, semi-structured and unstructured data.
• Experience with Deep Learning (ANN, CNN, RNN, Auto-encoders, GAN, etc. )
• Good understanding of standard NLP techniques
• Deep knowledge and experience working with standard speech recognition toolkits
• Experienced in recommender systems
• Experience with cloud-based ecosystems (GCP, AWS, Azure)
• Successful demonstrated experience in working on problems of diverse scope and complexity ranging from moderate to substantial in a collaborative fashion alongside other individuals or teams.
• Experience in creating reports, projections, models, and presentations to support business. 
• Specifically, has experience with Deep Learning models, AI development, agile software launching, Tensorflow experience, and/or working with data integration developers to assess data quality and define data processing business rules for cleansing, aggregation, enhancement, supporting analysis and predictive modelling activities.
• Ability to exercise independent judgment and decision making on complex issues regarding job duties and related tasks
• Ability to works under minimal supervision, using independent judgment
• Presenting complex analysis results tailored to different audiences (e.g. technical, manager, executive) in a highly consumable and actionable form including the use of data visualizations

Preferred Qualifications

• Master's Degree
• Experience creating solutions deployed with streaming audio data (i.e. call centers, Amazon Alexa, or other voice technologies)
• Experience with deploying model pipelines across various technologies, such as Kubernetes or Docker.
• Interested in coaching and mentoring junior talent to grow next generation of Data Scientists
• Experience with Natural Language Processing, Keras, and/ or H2O
• Experience working in Agile environments (i.e. Jira)

Located in the Seaport District of Boston, MA