NYC Staffing
Senior Data Scientist - Risk Prediction
NYC Staffing, New York, New York, United States, 10001
Cvs Health Data Scientist
At CVS Health, we're building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care. Join our team of healthcare data scientists as we develop the next generation of risk prediction models. We're looking for data scientists to leverage their analytical and machine learning skills to help provide insights and model solutions to stakeholders across the CVS Health & Aetna organizations. Our team routinely utilizes petabytes of data paired with extensive industry knowledge of actuarial partners to develop best-in-class machine learning models. We're looking to expand our team as we tackle more numerous and diverse use cases of the models we have been refining for nearly a decade now. You can help us overcome new challenges and build new solutions via the latest machine learning techniques. The team is looking for candidates with a passion for problem solving and quantitative analysis. We are especially interested in candidates who embrace emerging technologies and can thoughtfully incorporate AI into their data science processes to drive efficiency, insight, and innovation. Overview: Demonstrated ability to integrate AI-powered solutions into data science workflows, including data preparation, feature engineering, modeling, and reporting Develops and/or uses algorithms and statistical predictive models and determines analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes Performs analyses of structured and unstructured data to solve multiple and/or complex business problems utilizing advanced statistical techniques and mathematical analyses and broad knowledge of the organization and/or industry Collaborates with business partners to understand their problems and goals, develop predictive modeling, statistical analysis, data reports and performance metrics Develops and participates in presentations and consultations to existing and prospective constituents on analytics results and solutions Interacts with internal and external peers and managers to exchange complex information related to areas of specialization Use strong knowledge in algorithms and predictive models to investigate problems, detect patterns and recommend solutions Use strong programming skills to explore, examine and interpret large volumes of data in various forms Extensive experience with SQL, Python, Spark & Cloud computing (AWS, GCP, MS Azure) Required Qualifications: Bachelor's degree in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline 3+ years of professional experience in data analytics, BI, data engineering or applied data science 3+ years of experience with SQL and Python/R Preferred Qualifications: Master's or PhD degree in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline 5+ years of professional experience in data analytics, BI, data engineering or applied data science 5+ years of experience with SQL and Python/R Anticipated Weekly Hours: 40 Time Type: Full time Pay Range: The typical pay range for this role is: $111,240.00 - $222,480.00 Great benefits for great people We take pride in our comprehensive and competitive mix of pay and benefits
investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include: Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.
At CVS Health, we're building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care. Join our team of healthcare data scientists as we develop the next generation of risk prediction models. We're looking for data scientists to leverage their analytical and machine learning skills to help provide insights and model solutions to stakeholders across the CVS Health & Aetna organizations. Our team routinely utilizes petabytes of data paired with extensive industry knowledge of actuarial partners to develop best-in-class machine learning models. We're looking to expand our team as we tackle more numerous and diverse use cases of the models we have been refining for nearly a decade now. You can help us overcome new challenges and build new solutions via the latest machine learning techniques. The team is looking for candidates with a passion for problem solving and quantitative analysis. We are especially interested in candidates who embrace emerging technologies and can thoughtfully incorporate AI into their data science processes to drive efficiency, insight, and innovation. Overview: Demonstrated ability to integrate AI-powered solutions into data science workflows, including data preparation, feature engineering, modeling, and reporting Develops and/or uses algorithms and statistical predictive models and determines analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes Performs analyses of structured and unstructured data to solve multiple and/or complex business problems utilizing advanced statistical techniques and mathematical analyses and broad knowledge of the organization and/or industry Collaborates with business partners to understand their problems and goals, develop predictive modeling, statistical analysis, data reports and performance metrics Develops and participates in presentations and consultations to existing and prospective constituents on analytics results and solutions Interacts with internal and external peers and managers to exchange complex information related to areas of specialization Use strong knowledge in algorithms and predictive models to investigate problems, detect patterns and recommend solutions Use strong programming skills to explore, examine and interpret large volumes of data in various forms Extensive experience with SQL, Python, Spark & Cloud computing (AWS, GCP, MS Azure) Required Qualifications: Bachelor's degree in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline 3+ years of professional experience in data analytics, BI, data engineering or applied data science 3+ years of experience with SQL and Python/R Preferred Qualifications: Master's or PhD degree in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline 5+ years of professional experience in data analytics, BI, data engineering or applied data science 5+ years of experience with SQL and Python/R Anticipated Weekly Hours: 40 Time Type: Full time Pay Range: The typical pay range for this role is: $111,240.00 - $222,480.00 Great benefits for great people We take pride in our comprehensive and competitive mix of pay and benefits
investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include: Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.