Senior Data Scientist

Primary Responsibilities:

• Take the lead on data science projects to design and implement models and experiments from end to end, including data ingestion and preparation, feature engineering, analysis and modeling, model deployment, performance tracking and documentation
• Improve and extend the analytic methods in our products
• Conduct hands-on data analysis and predictive analytics on large datasets
• Effectively communicate complex technical results to business partners
• Support and drive analytic efforts around machine learning and innovation
• Work with a great deal of autonomy to find solutions to complex problems
• Review the work of others and serve as a leader or mentor
• Subject matter expert for our clients.

Required Qualifications:

• Bachelor's degree in Biostatistics, Mathematics, Economics, Computer Science, Theoretical Physics, Quantitative Social Sciences, Statistics, Information Systems, or relevant experience
• 7+ years of hands-on experience developing machine learning or deep learning models or Gen AI Models (Can be business or corporate experience and/or academic)
• 5+ years of experience working with healthcare data
• Experience applying computational algorithms and statistical methods to structured and unstructured data
• Experience breaking down and clearly defining problems
• Experience communicating highly technical results to a diverse audience
• Solid proficiency in advanced data science tools such as Python, Spark, SQL
• Proven comfort working as part of a team and taking the lead, as opposed to solo projects.