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Data Scientist
Key Responsibilities Utilize SQL, Python, and R for data analysis and reporting on KPIs across various business aspects Collaborate with stakeholders to gather requirements and present analytical results and machine learning solutions Design A/B testing...Qualifications Master's Degree in Computer Science, Mathematics, Statistics, MIS, Data Science, Economics, or a related field 3+ years of experience in an analytical role or equivalent combination of education and experience Proficiency in SQL, R, Python
Healthcare Actuarial Director
., SQL, SAS, Power BI, Tableau, R, Python) Ability to work independently to solve complex challenges
Programmatic Insights Analyst
., Tableau, PowerBI, SQL, Python, R) Knowledge of industry-standard performance metrics and media analytics best practices Basic understanding of client servicing and campaign management
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Director of Population Health Analytics
., SQL, SAS, Python)
AWS Software Engineer II
legacy code as needed Required Qualifications BS degree in Computer Science or related technical field, or equivalent practical experience Minimum 4-8 years of hands-on development experience with modern programming languages including NodeJS and Python
Health Economist
Biostatistics, Public Health, Epidemiology, or a related quantitative field 5+ years of experience conducting health economic and/or statistical analyses in a public health or healthcare setting Proficiency in statistical software such as R, SAS, Stata, or Python
Health Economist
Biostatistics, Public Health, Epidemiology, or a related quantitative field 5+ years of experience conducting health economic and/or statistical analyses in a public health or healthcare setting Proficiency in statistical software such as R, SAS, Stata, or Python
AI Training Engineer
AI models using coding expertise Work flexibly, with a suggested commitment of 20 hours per week Complete a brief questionnaire to qualify for the position Required Qualifications Proficiency in one of the following programming languages: Swift, Python
Computational Scientist in Genetics
department and collaborators Required Qualifications Extensive experience in large-scale genetic/genomic data analysis PhD (or Masters with significant experience) in a relevant field such as Statistical Genetics or Computational Biology Fluency in R, Python
Risk Adjustment Data Analyst
Services, Economics, or equivalent field 1-3 years of experience in business intelligence and analytics Technical knowledge of BI tools such as Sigma BI, Power BI, or Looker Experience with data analysis in SQL and Excel, and a scripting language like Python
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