Staff Data Scientist

Capsule

New York City, NY, US
  • Job Type: Full-Time
  • Function: Data Science
  • Post Date: 05/04/2021
  • Website: capsulecares.com
  • Company Address: 255 Greenwich St, 4th Floor, New York, NY, 10007, US

About Capsule

Capsule is rebuilding the $425 billion pharmacy industry from the inside out with an emotionally resonant brand and technology that enables customized outcomes for doctors, hospitals, insurers, and manufacturers. Our team makes the same promise to each other as the one we’ve made to our customers, doctors, and partners: everybody needs some looking after sometimes. We’ll never lose sight of the fact that behind all the craziness of the healthcare system, we’re just people looking after other people.

Job Description

About Us:

Capsule is rebuilding the $425 billion pharmacy industry from the inside out with an emotionally resonant pharmacy experience that works for everyone, and technology that enables customized outcomes for patients, doctors, hospitals, insurers, and manufacturers. Our team is laser focused on creating the best healthcare experience for our customers, and driving meaningful value and better outcomes for every participant in the healthcare system. Everyone who uses Capsule raves about it - we have 5,000+ five-star app reviews - and we’re expanding quickly to get that experience in the hands of as many people as possible. We’ve raised over $250 million from the best internet and healthcare investors to enable that expansion.

Our values are: everybody needs some looking after sometimes and winning together. People succeed in our culture when they are intensely focused on our customers, energized to accomplish ambitious goals, and push themselves and those around them to be better. We work hard to teach and share our successes to help others be successful. We anticipate our teammates’ needs and communicate early and often, using the input of our peers to operate both fast and right. We have tremendous ambitions and a lot of fun pursuing them — if that excites you, we’d love to have you join us. 

While we have a preference for candidates in or around NYC, this role can be located anywhere in the United States.

About the Role

The Capsule data team is responsible for transforming data into insights and data products. As a Staff Data Scientist you will be using machine learning and statistical tools to solve interesting problems and power new products. 

  • Gathering and analyzing data, performing POC analysis from a statistical perspective, identifying key factors, building prototypes and reporting findings to product owners.
  • Formulating machine learning/statistical/optimization approaches according to business metrics, designing features from rich data sources, training, evaluating and deploying models.
  • Partnering with Data Engineering to build scalable data science pipelines, creating high-performance APIs within engineering according to business requirements, maintaining data science pipelines.
  • Researching forefront techniques, proposing and initiating innovative data science efforts to drive management efficiency and customer experience.
  • Learning and sharing knowledge about data science, proposing the capability of data science to business teams.

About You

  • You take pride in enabling the best work of others on the team. You think ahead to anticipate the needs of your teammates and you give and get all the facts making it easy for others to make decisions.
  • You drive results in a way that makes everyone better. You accomplish ambitious objectives while uplifting the team around you. You're a magnet for team members looking to get better and be successful.
  • You work hard and want to have fun while you do so. You celebrate wins and remember to enjoy the journey as we build something iconic.
  • You can work both fast and right and don't view them as trade-offs. You understand when things require precision and accuracy and where 80% gets you to the desired outcome.
  • You thrive on being pushed and challenged. You communicate effectively both in written form and live / on your feet - you are not fazed by tough questions in the moment. 
  • You strike the right balance between putting enough work in to share something, but not going off into a corner for weeks at a time to polish something to perfection.
  • You operate like an owner and expect others to as well. You take personal responsibility and value personal responsibility in others. 
  • You check your ego at the door. You are interested in finding the right answer vs. always having the right answer. 

Requirements

  • Bachelor degree in computational sciences, mathematics, or engineering, Master degree is preferred.
  • 4+ years of experience working in the field of Data Science or Machine Learning
  • 3+ years experience with general purpose programming languages (Python, Kotlin, Javascript, etc…) or the R language, Python preferred.
  • Experience with traditional as well as modern machine learning/statistical techniques, including Regression, Classification, Regularization, Ensemble Methods, Deep Neural Network, Causal Inference, and Hypothesis Testing.
  • You have expertise in SQL, with the ability to perform analysis and write complex transformations using the full breadth of the SQL language
  • You have a strong business reasoning and understand the necessary tradeoffs that go into analytic projects.
  • You have experience communicating and translating business needs into analytic and engineering requirements

 

Capsule is committed to hiring the best team possible to build a pharmacy that works for everyone. We have a diverse set of problems to solve, and believe that we need a diverse set of perspectives to deliver the best possible solutions to those problems. We look for talent from a wide range of backgrounds - including but not limited to - race, age, sexual orientation, gender identity and expression, national origin, religion, disability, and veteran status.

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Disclaimer: Local Candidates Only
This company does NOT accept candidates from outside recruiting firms. Agency contacts are not welcome.