Sr. Data Scientist – CVS Media Exchange
We are seeking a highly skilled and experienced Sr. Data Scientist to join our CVS Media Exchange team. As a Sr. Data Scientist, you will play a key role in driving business growth and improvement by leveraging advanced analytics, experimentation, causal inference, and strategic problem-solving to develop digitally enabled products at CVS Health.
In this role, you will have the opportunity to work with a talented team of professionals who share a passion for delivering exceptional results and making a positive impact on the lives of our customers. You will be responsible for analyzing complex data sets, developing predictive models, and creating data visualizations to inform business decisions and drive growth.
Our ideal candidate will have a strong background in data science, statistics, and machine learning, with experience working with large datasets and developing predictive models. You will be a collaborative team player with excellent communication and problem-solving skills, and a passion for delivering results-driven solutions.
Key Responsibilities:
Develop and apply advanced analytics, machine learning, and statistical techniques to drive business growth and improvement
Analyze complex data sets to identify trends, opportunities, and challenges, and develop predictive models to inform business decisions
Collaborate with cross-functional teams to design and implement experiments, and analyze results to drive business outcomes
Communicate complex data insights and recommendations to business stakeholders, including technical and non-technical audiences
Stay up-to-date with industry trends and emerging technologies, and apply this knowledge to drive innovation and growth
Requirements:
Master's degree or equivalent work experience in Math, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related field
3+ years of experience applying modern machine learning methods to build predictive models for classification and regression problems
3+ years of experience using Python and SQL
2+ years of experience extracting meaningful insights from data analysis and interpreting results of complex models to present to business audiences
2+ years of experience preparing data for analysis, working with data engineering team to create modeling dataset, evaluate data quality, and perform feature engineering
Preferred Qualifications:
Experience designing online experiments (A/B testing)
Strong ability to communicate technical concepts and recommendations to non-technical stakeholders
Ability to work effectively and confidently with cross-functional teams, project stakeholders, and senior management
Ability to anticipate and prevent problems and roadblocks before they occur
What We Offer:
Competitive salary range: $106,605.00 - $206,000.00
Comprehensive benefits package, including medical, dental, and vision coverage
401(k) retirement savings plan and Employee Stock Purchase Plan
Paid time off, holidays, and wellness programs
Opportunities for professional growth and development
CVS Health is an equal opportunity employer, committed to diversity and inclusion. We welcome applications from qualified candidates who share our passion for delivering exceptional results and making a positive impact on the lives of our customers.
Apply Now
Apply Now
In this role, you will have the opportunity to work with a talented team of professionals who share a passion for delivering exceptional results and making a positive impact on the lives of our customers. You will be responsible for analyzing complex data sets, developing predictive models, and creating data visualizations to inform business decisions and drive growth.
Our ideal candidate will have a strong background in data science, statistics, and machine learning, with experience working with large datasets and developing predictive models. You will be a collaborative team player with excellent communication and problem-solving skills, and a passion for delivering results-driven solutions.
Key Responsibilities:
Develop and apply advanced analytics, machine learning, and statistical techniques to drive business growth and improvement
Analyze complex data sets to identify trends, opportunities, and challenges, and develop predictive models to inform business decisions
Collaborate with cross-functional teams to design and implement experiments, and analyze results to drive business outcomes
Communicate complex data insights and recommendations to business stakeholders, including technical and non-technical audiences
Stay up-to-date with industry trends and emerging technologies, and apply this knowledge to drive innovation and growth
Requirements:
Master's degree or equivalent work experience in Math, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related field
3+ years of experience applying modern machine learning methods to build predictive models for classification and regression problems
3+ years of experience using Python and SQL
2+ years of experience extracting meaningful insights from data analysis and interpreting results of complex models to present to business audiences
2+ years of experience preparing data for analysis, working with data engineering team to create modeling dataset, evaluate data quality, and perform feature engineering
Preferred Qualifications:
Experience designing online experiments (A/B testing)
Strong ability to communicate technical concepts and recommendations to non-technical stakeholders
Ability to work effectively and confidently with cross-functional teams, project stakeholders, and senior management
Ability to anticipate and prevent problems and roadblocks before they occur
What We Offer:
Competitive salary range: $106,605.00 - $206,000.00
Comprehensive benefits package, including medical, dental, and vision coverage
401(k) retirement savings plan and Employee Stock Purchase Plan
Paid time off, holidays, and wellness programs
Opportunities for professional growth and development
CVS Health is an equal opportunity employer, committed to diversity and inclusion. We welcome applications from qualified candidates who share our passion for delivering exceptional results and making a positive impact on the lives of our customers.
Apply Now
Apply Now