Startups

Data Scientist

Reframe · Atlanta, GA, US / Remote (US) · Remote

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About Reframe

App to help people quit or cut back on alcohol use. Backed by Y Combinator.

About the role

Job Description: As a Data Scientist, your primary responsibilities will include:

What they're looking for

  • Bachelor's or Master's degree in a quantitative field, such as Computer Science, Statistics, Mathematics, or Data Science
  • Proven experience in data collection, cleaning, and preprocessing using tools like SQL, Python, or R
  • Expertise in statistical analysis, machine learning, and predictive modeling techniques
  • Strong problem-solving skills and the ability to translate data insights into actionable recommendations
  • Excellent communication and presentation skills, with the ability to effectively collaborate with cross-functional teams
  • Experience in the health or wellness industry, particularly in the context of addiction or behavior change, is preferred
More about this role

About Reframe

Reframe is an app to help people cut back on drinking alcohol and discover the best version of themselves. We're currently the market leaders in the alcohol reduction space with over 150K paying customers & growing fast (we 10X'ed in 12 months to over $13M in Annual Revenue). Our mission is to help people achieve what we call peak human condition (best version of themselves mentally, physically, emotionally) by helping people build great habits and manage their emotions (which is also how we help people cut back on drinking) through an end-to-end lifestyle management system.

Job Description: As a Data Scientist, your primary responsibilities will include:

  • Data Collection and Management:
  • Collaborate with the engineering team to establish robust data collection pipelines, ensuring the integrity, security, and accessibility of user data.
  • Design and implement data warehousing and storage solutions to efficiently manage the growing volume of user data.
  • Develop data quality assurance processes to maintain the accuracy and reliability of the data.
  • Data Cleaning and Preprocessing:
  • Implement robust data cleaning and preprocessing techniques to address issues such...

Read the full posting on Reframe's site ↗

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