Job Description

EDUCATION AND EXPERIENCE:

• At least one advanced degree (Master or PhD level) in a technical or mathematically-oriented discipline, e.g., coursework or experience in fields such as statistics, machine learning, computer science, applied mathematics, econometrics, engineering, etc.

• MS in data science, statistics, or similar quantitative field; PhD and training in epidemiology is a plus

• Proven track record, over several years, in conceptualizing, planning, leading, and developing data science in the Medicare domain

• Past accomplishments include leading project teams; knowledge of Agile ceremonies a plus

• data extraction, cleaning, and preparation

• feature extraction

• algorithm development

• model training and evaluation

• putting applications into production

• Past work includes developing data science roadmaps

• Demonstrated experience working with healthcare data, including claims with its various codes such as ICD-10 and CPT, as well as the rules around Medicare plans is preferred

• Consulting experience is a plus

• Knowledgeable about machine learning and statistics (familiarity with natural language processing and deep learning techniques is a plus)

• You are proficient in SQL and Python with an ability to design, train, and code up machine learning and statistical models (experience with big data platforms such as Spark, Hadoop, and Hive is a plus)

• Experience collaborating with business partners to understand business needs, prioritize product features, and translate those into technical plans (consulting experience is a plus)

• Outstanding technical and business communication skills, with an ability to give compelling presentations

• Ability to mentor early-career data scientists

• MUST HAVE HEALTH CARE TECHNOLOGY Experience, or will not be considered (experience with Medicare / Medicaid, etc.)***

• Demonstrated industry experience statistics, machine learning, data modeling and building associated pipelines

• Experience with one or more of the following tools/frameworks – python, scikit-learn, nltk, pandas, numpy, R, pyspark, scala, SQL/big data tools, TensorFlow, PyTorch, etc. Position Responsibilities:

• Lead data science projects from inception to installation

• Manage interdisciplinary teams, whose members will be data scientists, software developers, and data engineers

• Design and build machine learning models, working sometimes as an individual contributor

• Advise other technical and business partners as a domain expert in machine learning

• Present project updates and value to a wide audience, from other data scientists to senior leaders

        For more information, please call (877) 782-3334 For more information, call (877) 782-3334 Contact: Debdas