Data Scientist

Responsibilities

• 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.
• Develop automated data transformation and normalization pipelines to ensure the data is in a format suitable for analysis.
• Exploratory Data Analysis: Conduct in-depth analyses of user behavior, engagement, and outcomes to uncover patterns, trends, and opportunities for optimization.
• Generate insightful visualizations and dashboards to communicate findings to cross-functional stakeholders.
• Implement personalized recommendation algorithms to deliver tailored interventions, content, and features to each user based on their unique characteristics and progress.
• 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.

Requirements

• About Reframe Reframe is an app to help people cut back on drinking alcohol and discover the best version of themselves.
• Leverage statistical techniques and machine learning models to identify the key factors influencing user success in reducing alcohol consumption.
• Stay up-to-date with the latest trends and best practices in data science, machine learning, and user behavior analytics.
• Qualifications: 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.
• 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.

Benefits