Data Science Senior Manager

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

If you are passionate about making a difference in the work you do, being recognized for your talent and expertise in solving complex and challenging analytical/data problems while contributing to the success of key strategic initiatives, consider growing your career with a Fortune 10 healthcare leader! As a member of the analytics organization you will be responsible for the leadership and coordination of critical cross-functional analytic initiatives aimed at driving best-in-class analytic solutions to improve medication adherence. You will be responsible for designing and leading implementation of analytic solutions, including predictive modeling and machine learning, data visualization and insight tools development, and data infrastructure improvements aimed at improving the medication adherence of the patients CVS Health serves. You will collaborate with analytic partners and business partners from product, marketing, IT, data strategy, and predictive analytics to develop effective solutions for our partners.

The essential roles and responsibilities of the role are:

• Collaborating with key internal and external stakeholders to gather and analyze needs and requirements to design and implement robust analytic solutions to support the identified needs;
• Developing and executing strategic plans to use advanced analytics in conjunction with patient interventions to improve medication adherence outcomes;
• Leveraging pharmacy and medical claims data as well as identifying and utilizing other data sources (EMR, lab results, clinical data and notes, consumer purchasing data, digital engagement data, etc.) to provide actionable, relevant, and timely analytic insight;
• Accessing, manipulating, analyzing, and visualizing data from large databases using a variety of tools and techniques, such SQL, Python, R, SAS, and/or Tableau;
• Conducting analyses of the data, ranging from descriptive data exploration to advanced statistical modeling;
• Designing experiments to perform A/B testing and establishing specifications to develop an automated system of measurement;
• Assessing existing available data, identifying data gaps, and collaborating with the data strategy team, IT, business partners, and outside vendors to develop approaches to closing the data gaps;
• Collaborating with business and analytic resources across multiple teams in a matrix organization to accomplish project goals;
• Constructing persuasive presentations and gaining consensus among a diverse group of individuals;
• Constructing and delivering written reports of the analytic findings in a variety of formats (reports, PPT, including visualization of data and findings), formulating recommendations, and effectively presenting the results to potential non-analytic audiences;
• Communicating complex technical subjects to technical and non-technical audiences.

  Required Qualifications

• Problem solving skills and experience constructing analytic solutions to business problems;
• Developing innovative analytic approaches leveraging available internal and external data sources;
• Experience interacting with and influencing decision-making by business audiences;
• Solid understanding and hands-on experience with a variety of analytic processes and techniques, including health economics outcomes research, experiment design, development of measurement methodologies, hypothesis testing, statistical significance testing, modeling, and machine learning;
• Ability to quickly develop knowledge and understanding of new domains and underlying data sources;
• Solid understanding and hands-on experience working with large data sources, particularly pharmacy or medical claims and clinical program data, focusing on efficient data extraction from large databases, data manipulation, and insight generation;
• Solid understanding and hands-on experience with SAS, SQL, Python, R, Tableau and/or other data, statistical, and data visualization tools and techniques, and ability to investigate and adapt emerging analytic tools and solutions into the analytic standard operating procedures;
• Understanding of the healthcare administration landscape and CVS Health business model, including patient and payer concerns, as well as the operational considerations in support of the business objectives;
• Excellent written and oral communication skills, including conveying analytic concepts and findings to executive and non-technical audiences with the goal of obtaining feedback and defining next steps to make the analytic insights actionable.

  Preferred Qualifications

• Experience with campaign design and consumer market research, such as survey design, implementing large-scale campaigns, and performing A/B testing;
• Experience applying behavioral economic concepts to drive behavior change;
• Developing roadmaps, business cases, and project plans;
• Managing projects and processes, including coordinating activates across diverse departments and ensuring that contributions across different teams are aligned and integrated as part of overall delivery;
• Experience developing methodology to measure program and intervention outcomes;
• Experience with programs and interventions that drive medication adherence;
• Experience conducting data analysis in a healthcare setting;
• Working knowledge of healthcare industry products/services and operations

  Education

  Bachelor’s degree in qualitative field, such as statistics, biostatistics, analytics, epidemiology, public health, or economics. A graduate degree strongly preferred.