Staff Vice President, Data Science

Centene Corporation Clayton , MO 63105

Posted 3 weeks ago

Position Purpose: Provide mid- to long-term strategic and tactical direction and operational oversight by leading cross-functional teams to define, implement and promote cutting-edge analytical and data engineering solutions with new and existing clients, such as end-to-end customer data integration, activation and enablement, rigorous statistical modeling and inferential analysis, and AI development. The Data Science Leader will lead the Data Science area within Data Science & Analytics. This team is dedicated to building data driven solutions that have a measurable impact across all parts of the organization by aiding strategic product and content. The role will require a deep understanding of machine learning, deep learning and AI techniques and their application in creating operational analytic solutions in member and provider analytics. The position requires someone who is comfortable striking a balance between cutting-edge and pragmatic solutions. Partnering with business stakeholders, product engineers, IT professionals and other groups within Enterprise Analytics they will ensure that analytic solutions can be leveraged throughout the organization to drive Centene business strategies.

  • Lead a team of talented data scientists in the design and development of foundational and operational analytic solutions that empower Centene to make key strategic decisions across the organization

  • Provide strategic vision and alignment for client engagements, synthesizing complex, technical concepts that resonate with technical and non-technical audiences

  • Engage to identify new and improved pathways for data-powered solutions

  • Provide expertise in as statistical methods, machine learning, AI, distributed computing, and programming with open-source languages

  • Deliver thought leadership and innovation in process, technique, and implementation

  • Conduct research to advance the collective knowledge and skills of our Data Science practice

  • Provide expertise in as statistical methods, machine learning, AI, distributed computing, and programming with open-source languages

  • Deliver thought leadership and innovation in process, technique, and implementation.

  • Conduct research to advance the collective knowledge and skills of our Data Science practice

Education/Experience:

Required:

  • Bachelor's degree in a quantitative discipline such as Statistics, Biostatistics, Informatics, Mathematics, Computer Science, Public Health, or Economics. MS or PhD in quantitative field of study (mathematics, physical or biological sciences, data science etc.) from an accredited institution preferred
  • 8 years of data analysis, statistics or related experience

Ideal candidate will possess:

  • Inquisitive, conceptual thinker comfortable working on complex problems at the cutting edge with limited definition of scope or guarantee of expected outcome

  • Deep experience in application of machine learning, deep learning and analytic techniques in a media or entertainment company within a big-data environment

  • Strong background in analytic programming (R, SparkR, Python, SAS) and data manipulation (SQL) in a big-data environment

  • Proven technical abilities, but must be capable of communicating complex analyses effectively to varying internal and external stakeholders, of varying seniority

  • Capability to lead multiple data science work streams simultaneously in a fast-paced environment in partnership with multiple business stakeholders

  • 10 years of experience in executing and managing complex data science initiatives

  • Demonstrable experience leading a data science team in a healthcare, or big-data driven consumer-product company

  • Drive value in the broader business. Develops and communicates goals, strategies, tactics, project plans, timelines, and key performance metrics to align with multiple internal stakeholder departments and ultimately grow Centene's analytics capabilities. Applies a broad business approach to find and create value for the company.

  • Ability to build strong relationships with key stakeholders. Serves as strategic advisor to multiple functional areas within the organization. Builds rapport with senior leaders to achieve departmental objectives. Works closely with legal and finance to ensure responsible outcomes. Exudes "executive presence" in both formal and informal communications

  • Advanced level proficiency with statistical, machine learning modeling techniques such as regression, decision trees, neural networks, support vector machines, supervised/unsupervised clustering techniques, experimental test design, etc.

  • Expert theoretical knowledge of machine learning modeling techniques and advanced applied skills in developing predictive targeting models within distributed computing platforms such as Hadoop, AWS, Azure, GCP using tools like Spark, Scala, SAS, R, Python, Bayesia, H2O, Storm, Yarn, Kafka

  • Superior analytical skill combined with business discipline. Ability to perform insightful and actionable quantitative and qualitative analysis of the business

  • Ability to manage multiple complex projects while meeting all deadlines, and manage people to achieve optimal results

  • Excels in a culture of collaboration, excellence, innovation, and teamwork

  • Strong interpersonal skills-an outstanding ability build relationships, influence and navigate within a complex organization

  • Presence and self-confidence to interface and engage with the key constituents internally and externally. "Crisp" communication skills

  • Self-awareness, maturity, irreproachable integrity

Education/Experience:

Required:

  • Bachelor's degree in a quantitative discipline such as Statistics, Biostatistics, Informatics, Mathematics, Computer Science, Public Health, or Economics. MS or PhD in quantitative field of study (mathematics, physical or biological sciences, data science etc.) from an accredited institution preferred
  • 8 years of data analysis, statistics or related experience

Ideal candidate will possess:

  • Inquisitive, conceptual thinker comfortable working on complex problems at the cutting edge with limited definition of scope or guarantee of expected outcome

  • Deep experience in application of machine learning, deep learning and analytic techniques in a media or entertainment company within a big-data environment

  • Strong background in analytic programming (R, SparkR, Python, SAS) and data manipulation (SQL) in a big-data environment

  • Proven technical abilities, but must be capable of communicating complex analyses effectively to varying internal and external stakeholders, of varying seniority

  • Capability to lead multiple data science work streams simultaneously in a fast-paced environment in partnership with multiple business stakeholders

  • 10 years of experience in executing and managing complex data science initiatives

  • Demonstrable experience leading a data science team in a healthcare, or big-data driven consumer-product company

  • Drive value in the broader business. Develops and communicates goals, strategies, tactics, project plans, timelines, and key performance metrics to align with multiple internal stakeholder departments and ultimately grow Centene's analytics capabilities. Applies a broad business approach to find and create value for the company.

  • Ability to build strong relationships with key stakeholders. Serves as strategic advisor to multiple functional areas within the organization. Builds rapport with senior leaders to achieve departmental objectives. Works closely with legal and finance to ensure responsible outcomes. Exudes "executive presence" in both formal and informal communications

  • Advanced level proficiency with statistical, machine learning modeling techniques such as regression, decision trees, neural networks, support vector machines, supervised/unsupervised clustering techniques, experimental test design, etc.

  • Expert theoretical knowledge of machine learning modeling techniques and advanced applied skills in developing predictive targeting models within distributed computing platforms such as Hadoop, AWS, Azure, GCP using tools like Spark, Scala, SAS, R, Python, Bayesia, H2O, Storm, Yarn, Kafka

  • Superior analytical skill combined with business discipline. Ability to perform insightful and actionable quantitative and qualitative analysis of the business

  • Ability to manage multiple complex projects while meeting all deadlines, and manage people to achieve optimal results

  • Excels in a culture of collaboration, excellence, innovation, and teamwork

  • Strong interpersonal skills-an outstanding ability build relationships, influence and navigate within a complex organization

  • Presence and self-confidence to interface and engage with the key constituents internally and externally. "Crisp" communication skills

  • Self-awareness, maturity, irreproachable integrity

Centene is an equal opportunity employer that is committed to diversity, and values the ways in which we are different. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristic protected by applicable law.


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Staff Vice President, Data Science

Centene Corporation