Manager, Data Science

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

Red Oak Sourcing is a 50/50 joint venture between two Fortune 20 companies, Cardinal Health and CVS Health. Red Oak has sole responsibility for generic pharmaceutical sourcing for Cardinal Health and CVS Health’s retail division and pharmacy benefit manager - representing 85% of the pharmaceutical product volume of the two companies – making Red Oak is one of the largest generic sourcing entities in the U.S.

About our Parent companies: CVS Health - with more than 9,800 CVS retail pharmacy stores, a leading pharmacy benefit manager, and over $175 billion in revenue - is the largest pharmacy health care provider in the United States. CVS dispenses or manages nearly 2 billion prescriptions annually. Cardinal Health, which employs 50,000 people worldwide, is a $130 billion health care services company, providing pharmaceuticals and medical products to nearly 85% of U.S. hospitals and over 24,000 pharmacies.

Position summary

Red Oak is seeking a highly skilled “player-coach” data scientist to manage the data science team. The team is responsible for identifying use cases for a wide variety of machine learning models, collecting and cleaning data, coding and testing models, and implementing them in production. This role will also serve as a data science subject matter expert and help evangelize solutions and new technology to the broader organization, a coach/mentor/trainer/manager for junior data scientists, and the key point person who manages all machine learning assets. In addition, this role will be responsible for assessing, evaluating, and improving our data and computing technologies, including data acquisition, storage, access etc, and compute capabilities.

Responsibilities:

Lead and champion data science innovation

• Drive the process of converting use cases into data science solutions: ideation, development, and execution
• Hands-on model development and testing
• Evangelize data science and lead change management efforts to help the company adopt new data science approaches decision making
• Act as data science thought leader in the organization, by staying current on technologies, methods, and tools
• Communicate complex concepts to all levels of the organization (who have a wide range of backgrounds) clearly and effectively
• Contribute to effective dashboards and visualizations that clearly convey necessary information to the audience
• Develop standard operating procedures related to testing ideas, developing models, validating models, moving models to production, and revisiting existing models

Manage team

• Lead team-based approach to model development
• Provide direction on ongoing work/analytics/presentations and feedback on tasks
• Quality control and review team’s work and balance workloads across team members
• Give guidance for working with variety of senior leaders in organization (e.g., how to present work, manage expectations, and deliver key messages)

Manage and support departmental data science and strategic projects

• Run or support a variety of projects across the organization
• Understand product and market changes and implications for Red Oak’s strategy, using available industry data sources to stay current on the business side of the organization

Review data and design and build presentations to support executive-level discussions

• Manage creation of presentations related to your work, including a storyline, key messaging, graphical representation of data, and tailoring to the audience

Qualifications:

• Advanced proficiency in Python and common data science packages (numpy, scipy, pandas, sklearn, etc.)
  • other programming languages (R, Julia), a plus
• Strong understanding of advanced statistical and machine learning methods, including supervised & unsupervised, deep learning, bootstrapping methods, and survival modeling
• Degree in quantitative or technical field preferred (e.g. data science, applied analytics, econometrics, mathematics, engineering, etc.) and 4+ years of related experience
• Track record of successfully leading a data science initiatives
• Strong understanding of relational databases
• Ability to build and present a business case extending from proposed data initiatives and analysis
• Ability to design and build effective executive-level presentations is required
• Ability to work with variety of stakeholders, particularly executives
• An obsession with learning and continuous improvement is essential
• Expertise in PowerPoint and Excel

Highly Preferred

• A GitHub portfolio
• Expertise in Apache Spark or other advanced data processing/analytical engines, distributed systems, and cloud storage
• Experience in data analytics platforms such as Alteryx or Azure Data Factory, and visualization software such as Tableau (ideally) or Qlik
• Proficiency with SQL
• Experience with innovation methods is a plus (e.g., human centered design, systems thinking)