Data Scientist

• 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
• Implement robust data cleaning and preprocessing techniques to address issues such as missing values, outliers, and data inconsistencies
• Develop automated data transformation and normalization pipelines to ensure the data is in a format suitable for analysis
• Work closely with the engineering team to streamline the data cleaning process and maintain the integrity of the data
• Conduct in-depth analyses of user behavior, engagement, and outcomes to uncover patterns, trends, and opportunities for optimization
• Leverage statistical techniques and machine learning models to identify the key factors influencing user success in reducing alcohol consumption
• Generate insightful visualizations and dashboards to communicate findings to cross-functional stakeholders
• Develop predictive models to anticipate user needs, behaviors, and potential risk factors related to alcohol consumption
• Implement personalized recommendation algorithms to deliver tailored interventions, content, and features to each user based on their unique characteristics and progress
• Continuously refine and iterate on the predictive models to improve the accuracy and effectiveness of the personalized user experience
• Design and execute rigorous A/B tests to evaluate the impact of new features, interventions, and user experience enhancements
• Analyze the results of these experiments to make data-driven decisions and guide the product roadmap
• Collaborate with the product and engineering teams to translate insights into actionable improvements
• Work closely with the product, engineering and user experience teams to align on data-driven priorities and ensure the seamless integration of data-centric solutions
• Communicate complex data insights and recommendations to non-technical stakeholders in a clear and compelling manner
• Stay up-to-date with the latest trends and best practices in data science, machine learning, and user behavior analytics

• 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
• 3+ years experience
• US citizen/visa only

Experience in the health or wellness industry, particularly in the context of addiction or behavior change, is preferred