Principal Data Scientist

Primary Responsibilities:

• Play technical leading role and hands-on for researching, designing, implementing and deploying full-stack scalable machine learning solutions to support house call member engagements
• Design and develop the enterprise scalable intelligent solutions to drive increasing business values. Work with a great deal of autonomy to find solutions to complex problems
• Effectively communicate complex technical results to business partners
• Consolidate internal and external data to establish member journey line across different programs
• Establish machine learning/deep learning models to increase member outbound reach experience and NPS scores, implement the solutions into applications or operation
• Provide training and consultation for other junior team members
• Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Required Qualifications:

• Bachelors degree in Applied Mathematics, Statistics, Computer Sciences, Information Management, Actuarial Science or a related technical field
• 5+ years of experience in machine learning modeling and data analytics.
• 5 years of experience in creating full stack of machine learning end-to-end model pipeline
• 5 years of experience leading technical and non-technical resources in the area of Information Management, Data Strategy, Business Intelligence development, data mining and predictive analytics with machine learning/statistical modeling techniques
• 3+ years of experience in Python.
• Experience working for a large enterprise with fragmented data sources, lack of documentation, unstructured requirements and ambiguity
• Experience working with business stakeholders and leaders in understanding data analytics and information needs, and executing on transformation of high-level, abstract data needs into meaningful data management solutions, information and analysis
• Experience understanding and managing business data and information, and the ability to correlate business processes to data
• Experience converting raw data into processed, actionable, insightful information
• Basic knowledge of machine learning and data processing services from cloud providers such as Amazon Web Services, Google Cloud, and Microsoft Azure
• Proven solid ability to communicate highly technical issues/results to a diverse audience both verbally and in written
• Proven solid execution mentality

Preferred Qualifications:

• MS in Applied Mathematics, Physics, Computer Sciences, Information Management, Statistics, Actuarial Science or a related technical field
• Experienced in Speech Recognition modeling and/or Natural Language Process
• Proven engineering background