• Director, Data & Analytics

    Job Locations US-NY-New York
    Posted Date 3 months ago(09/19/2018 10:05 AM)
    # of Openings
  • Overview

    AbleTo, Inc. is a market leader in providing technology-enabled behavioral health care. AbleTo has been treating patients for over six years, and improves patient outcomes and lowers costs by providing treatment that integrates behavioral and medical health care. AbleTo's structured therapy programs strengthen medical recovery and self-care among members with chronic or complex clinical needs. AbleTo analytics, coupled with our multi-channel engagement platform, identify and engage members with unmet, often undiagnosed, behavioral health needs. A proprietary platform connects individuals and their care teams with AbleTo licensed providers who deliver weekly sessions by phone or video supported by an integrated digital experience. AbleTo programs are clinically proven to improve both behavioral health and medical outcomes while lowering overall spending for higher-cost, higher-risk members.

    The Director of Data Science at AbleTo will bring significant consumer analytics experience to optimize patient acquisition and treatment, revolutionizing member engagement with AbleTo.  The Director will provide the technical leadership and mentorship for the Data Science team, ensuring sound methodologies and best practices are employed by the team to develop and improve patient targeting, engagement, and treatment models and analyses.  They will also partner with department owners to identify and prioritize opportunities to inject analytics and use of data to improve performance. The Director will also stay in tune with technology advancements in Big Data and Machine Learning tools, and will provide guidance for the company’s continued improvements in Data Science technologies.  This role will significantly contribute to the company’s growth in the critical core competency of Data Science.


    Technical Leadership

    • Bring consumer analytics leadership to drive engagement and treatment outcomes in Health Plan populations:
      • Lead consumer analytics - including patient targeting, consumer segmentation, engagement optimization - to maximize patient access to AbleTo programs
      • Lead team approach to injecting machine learning and other analytical tools into the patient care model
      • Drive operational efficiencies and influence product development to implement data-driven features
      • Proactively identify new ways to use data or ways to augment data to improve effectiveness and efficiency
    • Serve as a thought leader to the Data Science team in building new analyses, troubleshoot coding issues, and developing analytical approaches that drive significant business value
    • Implement best practices in data management, quality control processes, and maintaining code/documentation repositories


    Stakeholder Management

    • Prioritize and communicate Data Science projects based on Company objectives across multiple stakeholders
    • Own, present and explain findings to various stakeholders across the company, and developing the team to do so as well
    • Collaborate cross-functionally with our Research team, Engagement team, Clinical team,  Product teams to optimize our use of data and analytics to develop business insights
    • Other projects, as needed and assigned


    Team Development

    • Lead the transition to a scalable Data Science team in partnership with the SVP Technology to develop a Data Engineering & Data Operations partner team
    • Provide leadership and professional guidance to the Data Science team member with focus on technical development of team members  
    • Drive the continuous improvement of team’s capabilities & tools
    • Ensure the transmission and sufficiency of the team’s technical knowledge by mentoring new members of the team


    *Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.



    • BS & Masters Degrees in computer science, or related technical, math, or scientific field  
    • PhD (preferred) in computer science, or related technical, math, or scientific field  
    • 5+ years of professional experience in a business environment
    • 3+ years in machine learning (predictive modeling) and analytics
    • 3+ years experience with building and troubleshooting data architecture (pipelines)
    • Experience in Healthcare industry preferred (Payer claims data, health outcomes)



    • Experience with Google Cloud based technologies
    • Proficient in Python (numpy, pandas, scikit-learn), Pycharm
    • Hands on experience building models with machine learning frameworks using Python and Spark
    • Highly proficient in both SQL and git