DATA SCIENTIST

Title: DATA SCIENTIST


Reports to: DIRECTOR OF AI AND DATA SCIENCE


Summary of position:


Benefits Science Technologies is a data science and technology firm founded out of MIT and innovating at the intersection of analytics, healthcare and software development. We are building the data science-driven engine to help clients manage risk related to health care and insurance - empowering them to make optimal decisions to control costs and improve quality of care for their members. Our passion is finding unique answers to complex questions and continually re-defining the leading edge.


Under the direction of the Director of AI and Data Science, our Data Scientists work in all aspects of the design and implementation of Benefits Science’ world-class data analytics services and products. Our Data Scientists must perform at exceptionally high standards and contribute to efficient operation within an interdisciplinary team focused on creating new client solutions. This is a full time, salaried position, with salary commensurate with education, experience, and contribution.



Duties & Responsibilities:


● Perform at the highest standards in our field

● Participate and support the conception, planning, and prioritization of data projects, ensuring data quality and integrity throughout the process as well as alignment with organizational goals

● Implement new machine learning and optimization methodologies as needed for specific models or analyses

● Build analytic systems and predictive models to elevate customer experience, and track impact over time

● Design, implement, and validate solutions in distributed environments

● Enthusiastically research and experiment with new data science technologies and models, discover opportunities for new data analytics features, and influence product and technology development as a highly motivated self-starter

● Write high-quality, reusable and production-ready code

● Interpret and analyze data problems

● Test performance of data-driven products

● Collaborate with colleagues from engineering and business backgrounds; working as part of a high performing team

● Must pass initial and periodic background checks, and comply with all applicable HIPAA and Security regulations, including maintaining HIPAA Awareness and Security Certification

● Must be available and able to work during standard business hours in the Benefits Science office in the Boston area, as well as other times as needed


Qualifications:


● Advanced degree (Ph.D. or M.S. with relevant experience) in Operations Research, Analytics, Statistics, Applied Mathematics, Industrial Engineering, Computer Science, or a related field

● Relevant work and/or project experience applying Data and/or Statistical Analysis, Machine Learning, Mathematical Modeling, and Optimization (preferably Robust and/or Mixed Integer) to maximizing outcome or identifying best practices, preferably in the insurance/healthcare/health services sector, is preferred

● B grade or above in the following courses is required: Design of Experiments, Machine Learning, Data Analysis, Optimization

● Strong organizational skills and a business mindset

● Solid understanding of relevant theories in probability theory, statistics, machine learning, data structure and algorithms, optimization (linear programming, mixed-integer programming), etc.

● Knowledge of data management and visualization techniques, as well as statistical analysis and predictive modeling

● Proficient in using Python to implement machine learning models and algorithms

● Expert in data analysis and modeling using R, Python, and Julia

● Fluent in building/prototyping machine learning models and algorithms and wrangling large datasets

● Git or other collaborative version control

● Ability to work effectively as part of a team, with excellent interpersonal and communication skills

● Fluent in English (both verbal and written)


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