AI/ML Job: Data Scientist

Clipboard Health

Data Scientist at Clipboard Health

🇺🇸 United States › California › San Francisco
  (Posted Mar 16 2022)

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.


 

Company: Clipboard Health

Clipboard Health
job info / career page
Linkedin profile
Location: San Francisco, California, United States

map of company location

Skills wanted for this job:
python

🇺🇸 Machine learning recruitment

Are you in US and prefer to let a recruiter
find your dream job?

Get in touch with Drew from Catapult &
let him know with what you are looking for

Golangprojects.com: Golang jobs

Golang job board
If you are interested in
Golang jobs

Visit Golangprojects.com

ClojureJobboard.com: Clojure jobs

Clojure job board
If you are interested in
Clojure jobs

Visit ClojureJobboard.com

Other machine learning jobs that might be interesting

Machine learning job Machine Learning Engineer at Storytime Machine Learning Engineer - Storytime   (April 2022)
San Francisco, California, United States
We're looking for a machine learning expert with significant experience implementing and optimizing generative models to help build and scale Storytime's synthetic media creation tools. You will be re...
Machine learning job Data Scientist Bioinformatics Scientist - Next Generation Sequencing + Discovery at Serotiny Data Scientist Bioinformatics Scientist - Next Generation Sequencing + Discovery - Serotiny   (May 2022)
San Francisco, California, United States
Serotiny invents multi-domain proteins for gene and cell therapies including genome editors and chimeric antigen receptors. These novel synthetic proteins are central to cutting edge therapeutics, pro...
Machine learning job Machine Learning Engineer at Whisper Machine Learning Engineer - Whisper   (May 2022)
San Francisco, California, United States
Established in 2017, Whisper is a team of artificial intelligence, hearing care, hardware, and software experts coming together to solve the challenge of providing better hearing. We set out to make t...
Machine learning job Senior Deep Learning Researcher (Speech Recognition) at AssemblyAI Senior Deep Learning Researcher (Speech Recognition) - AssemblyAI
Worldwide, 100% Remote - Salary: $140,000 - 225,000
AssemblyAI is an AI company - we build powerful models to transcribe and understand audio data, exposed through simple APIs. Hundreds of companies, and thousands of developers, use our APIs to both ...

Machine learning job Credit Model Risk Lead - Machine Learning at Affirm Credit Model Risk Lead - Machine Learning - Affirm   (April 2022)
Remote US, 100% Remote
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. Affirm, Inc. proudly includ...
Not the machine learning job you are looking for?
Browse all machine learning jobs and we're sure you will find a suitable one!
Browse machine learning jobs with similar combinations of skills
Machine learning jobs with python
🌐 Remote machine learning jobs 📧 Machine learning jobs newsletter 🔎 🇺🇸 US ML/AI recruiter 🇺🇸 ML jobs in United States 🇺🇸 ML jobs in California 🇺🇸 ML jobs in San Francisco, CA 🇬🇧 ML jobs in United Kingdom 🇬🇧 ML jobs in London 🇺🇸 ML jobs in New York 🇺🇸 ML jobs in Palo Alto, CA 🇺🇸 ML jobs in Massachusetts 🇩🇪 ML jobs in Germany 🇺🇸 ML jobs in Texas 🇩🇪 ML jobs in Berlin 🇺🇸 ML jobs in NYC, NY 🇺🇸 ML jobs in Cupertino, CA 🇺🇸 ML jobs in Cambridge, MA 🇺🇸 ML jobs in New York, NY 🇺🇸 ML jobs in Austin, TX 🇺🇸 ML jobs in Washington 🇳🇱 ML jobs in Netherlands 🇳🇱 ML jobs in Amsterdam 🇺🇸 ML jobs in Menlo Park, CA 🇺🇸 ML jobs in Sunnyvale, CA 🐍 Python & ML jobs📙 Tensorflow & ML jobs🔦 Pytorch & ML jobs😏 Aws & ML jobs⭐ Spark & ML jobs🗄️ Sql & ML jobs🦜 Nlp & ML jobs🇰 Keras & ML jobs☕ Java & ML jobs®️ R & ML jobs☸️ Kubernetes & ML jobs🐼 Pandas & ML jobs🐳 Docker & ML jobs🎼 Scala & ML jobs🍴 Git & ML jobs🐧 Linux & ML jobs🐿️ Go & ML jobs☁️ Gcp & ML jobs🐘 Hadoop & ML jobs☁️ Azure & ML jobs✉️ Kafka & ML jobs☕ Javascript & ML jobs⚛️ React & ML jobs🗄️ Hive & ML jobs