Do they allow remote work?
Remote work is possible, see the description below for more information.
Job description
Why Clipboard Health Exists
We exist to lift as many people up the socioeconomic ladder as possible. The average nursing assistant without a college degree makes $36k a year; the average nursing assistant on Clipboard Health makes $53k a year and the top 5% make $74k a year. We dramatically improve lives, by letting healthcare professionals turn extra time & ambition into career growth. We have healthcare professionals texting us photos of a car they were finally able to buy, a school & church they’re building in their native Haiti with money they earn here, and more.
We’re a post Series B, extremely fast growing startup with classic two-sided network effects. We’ve grown 6x (across all key metrics) in the last 11 months and need your help to keep growing to serve more healthcare professionals, healthcare facilities, and patients.
Basic Qualifications
M.S. or Bachelors degree in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields. (If M.S. degree, a minimum of 1+ years of industry experience required and if Bachelor’s degree, a minimum of 2+ years of industry experience as a Data Scientist or equivalent)
Experience with Python
Basic understanding of experimental design (such as A/B experiments) and statistical methods
Advanced understanding of machine learning techniques and tools
Ability and experience in extracting insights from data, and summarizing learnings / takeaways
Experience with Excel
Responsibilities
As a Data Scientist at Clipboard Health, you get to use your quantitative skills, obsession with customers and collaborative spirit to work closely with Product, Operations, and Engineering to provide data driven insights to find new opportunities to take our company to the next level.
Collaborate with product managers to develop the machine-learning components to be embedded in Clipboard’s products
Refine ambiguous questions and generate new hypotheses about the product through a deep understanding of the data, our customers, and our business
Design experiments and interpret the results to draw detailed and impactful conclusions
Define how our teams measure success, by developing Key Performance Indicators and other user/business metrics, in close partnership with Product and other subject areas such as engineering, operations and marketing
Collaborate with engineers to build and improve on the availability, integrity, accuracy, and reliability of deployed predictive models, data logging and data pipelines
Develop data-driven business insights and work with cross-functional partners to identify opportunities and recommend prioritization of product, growth, and optimization initiatives
Full description
Are you interested in driving business and product strategy in a fast-growing marketplace startup? What about using data to answer difficult questions and come up with interesting insights? If so, this is the job for you. As a Data Scientist at Clipboard Health, you get to use your quantitative skills, obsession with customers and collaborative spirit to work closely with Product, Operations, and Engineering to provide data driven insights to find new opportunities to take our company to the next level.
What You'll Do
Refine ambiguous questions and generate new hypotheses about the product through a deep understanding of the data, our customers, and our business
Design experiments and interpret the results to draw detailed and impactful conclusions.
Define how our teams measure success, by developing Key Performance Indicators and other user/business metrics, in close partnership with Product and other subject areas such as engineering, operations and marketing
Collaborate with engineers to build and improve on the availability, integrity, accuracy, and reliability of data logging and data pipelines.
Develop data-driven business insights and work with cross-functional partners to identify opportunities and recommend prioritization of product, growth, and optimization initiatives.
Basic Qualifications
M.S. or Bachelors degree in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields. (If M.S. degree, a minimum of 1+ years of industry experience required and if Bachelor’s degree, a minimum of 2+ years of industry experience as a Data Scientist or equivalent)
Experience with Python
Basic understanding of experimental design (such as A/B experiments) and statistical methods
* Advanced understanding of machine learning techniques and tools
Ability and experience in extracting insights from data, and summarizing learnings / takeaways
Experience with Excel
Preferred Qualifications
Advanced degrees in Math, Economics, Statistics, Engineering, Computer Science, Operation Research, Machine Learning or other quantitative field
5+ years industry experience in consumer facing data science
Strong storytelling: distill interesting and hard-to-find insights into a compelling, concise data story
Advanced experience with experimental design and statistical methods such as causal Inference.
Ability to communicate effectively and manage relationships with partners coming from both technical and non-technical backgrounds
About The Team
The Compass data science and machine learning team is Clipboard Health’s largest data and applied science organization, covering both of Clipboard Health’s main lines of business as well as the underlying platform technologies that power those businesses.
We are a key part of Clipboard Health’s product development teams, helping to drive every stage of product development through data analytic, statistical, and algorithmic expertise, while supporting real-time operations in Clipboard’s marketplace.
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