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Job Description
Model development and deployment will occur in the cloud (AWS), and we’ll look for the appropriate knowledge and/or experience. You don’t have to be an expert in any of the potential areas of analytics, but need to be able to demonstrate aptitude, willingness to execute, and an ability to problem solve independently. We will have resources that you can leverage as needed. This role will require interfacing with executive and business stakeholders, so strong communication skills is a must.
Who you are:
· You understand the foundations of statistics and machine learning and can work in high performance computing/cloud environments, with experience/knowledge in some aspects across statistical analysis, machine learning, model management, data engineering, data visualization, and data interpretation
· You are self-motivated, and have demonstrated abilities to think independently as a data scientist
· You structure your data science approach according to the necessary task, while appropriately applying the correct level of model complexity to the problem at hand
· Strong Python skills (some specifics of Sagemaker is a plus), and SQL skills are a must. Experience having deployed models to production is a plus.
· You have an agile mindset of continuous learning and will focus on integrating enterprise value into team culture
· You are kind, collaborative, and capable of seeking and giving candid feedback that effectively contributes to a more seamless day-to-day execution of tasks
· Ability to spin up quick visualization prototypes in PowerBI, Qliksense, or other similar tools is preferred. Experience with R-Shiny, Bokeh, Django, or JavaScript is a plus.
· You have an agile mindset of continuous learning and will focus on integrating enterprise value into team culture
· You are kind, collaborative, and capable of seeking and giving candid feedback that effectively contributes to a more seamless day-to-day execution of tasks
· Experience with real world data (e.g., claims, electronic health records) is a plus
· Experience within any of the therapeutic areas like oncology is a plus (e.g., NCCN guidelines, SEER data, understand lines of therapy rules, have knowledge about staging and existing therapeutic spaces)
Education Requirements:
· Required: Bachelors degree with at least 0-2 years industry experience (experience requirement can be waived off for exceptional candidates
· Preferred: Advanced degree (MS, PhD) in a quantitative science or health field (e.g., computational biology, epidemiology, biostatistics, statistics, mathematics, physics, economics)
Current Contingent Workers apply
*A job posting is effective until 11:59:59PM on the dayBEFOREthe listed job posting end date. Please ensure you apply to a job posting no later than the dayBEFOREthe job posting end date.
A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.
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