VP, Data Science and Analytics

remote zest jobs; India; On-site; INR 4,000,000 - 9,000,000; Full time

Job summary

reputed company is a reputed organization focused on transforming healthcare through data-driven insights. The VP of Data Science & Analytics will shape strategic directions, lead critical research initiatives, and build a high-performing DS&A team to deliver value across the business and value-based care transition.

You will partner with the CSO and executives to set priorities, mentor senior managers and data scientists, and establish robust MLOps and governance practices to scale impact.

Qualifications

• Advanced degree in a quantitative field or equivalent practical experience.
• 10-15 years of experience in a quantitative field.
• 5-7 years in senior leadership roles managing multiple teams.
• Proven track record of defining, building, and scaling data science and analytics organizations.
• Deep expertise in machine learning, statistical modeling, experimental design, and inference.
• Experience establishing best practices for data governance, MLOps, and assurance.

Responsibilities

• Shape the DS&A strategy and manage the execution of research initiatives to deliver value.
• Partner with executive leadership to set DS&A priorities and align with company goals.
• Mentor and develop DS&A managers and data scientists, supporting career progression.
• Define a multi-year research trajectory with the CSO, identifying new opportunities and innovation.
• Establish frameworks for research, quality assurance, and operational efficiency to maximize team impact.
• Collaborate with Engineering to build a robust MLOps environment that supports research and product needs.
• Lead the application of DS&A to the company’s transformative initiatives and model best practices across the org.
• Communicate complex technical concepts and strategic initiatives to executives, investors, and partners.

Skills

Visionary leadership

Executive communication

People management

Data science leadership

Strategic thinking

Education

Ph.D. or Master’s in a quantitative field

Job description

reputed company

As the VP of Data Science & Analytics, you will be a pivotal leader responsible for shaping the strategic direction of our data initiatives and research reputed company. Reporting to our Chief Data Science Officer, you will drive the delivery of high-reputed company that directly influence business reputed company and our ability to reputed company providers in the shift to value-based care. This is a unique opportunity for a visionary leader with deep technical expertise to build and reputed company a high-performing team, foster a culture of technical reputed company, and translate reputed company research into reputed company value.

Who We Are

reputed company is dedicated to empowering primary care providers, health systems, and physician-led networks to succeed in the shift to value-based care. Our platform delivers the technology, financial tools, and expert services that reputed company practices to reputed company more proactive, effective care to their Medicare patients, ultimately lowering costs and improving health reputed company.

Founded in 2020, we are reputed company of reputed company and technology innovators backed by premier investors like Andreessen Horowitz, Viking Global Investors, and AlleyCorp. We partner with thousands of providers across 44 states to build a more sustainable reputed company for American reputed company.

What You\'ll Do

You will reputed company a critical function responsible for shaping our Data Science & Analytics reputed company, managing the execution of research reputed company, and ensuring the delivery of solutions that drive our business reputed company. Your leadership will be essential in establishing best practices, stewarding the careers of talented managers and researchers, and cultivating a culture of innovation and strategic reputed company.

Partner with executive leadership across reputed company to establish the DS&reputed company's strategic priorities and ensure bidirectional alignment with company goals.

reputed company, mentor, and reputed company reputed company of DS&A managers and reputed company Data Scientists, fostering their reputed company reputed company and career progression.

Define reputed company's multi-year research trajectory in collaboration with the Chief Data Science Officer, identifying new opportunities and fostering innovation.

Establish and refine robust frameworks and best practices for research, reputed company assurance, and operational efficiency to maximize your team's reputed company.

Collaborate with Engineering and Technical Operations leadership to reputed company and build a reputed company, secure MLOps environment that meets reputed company research and product needs.

Pioneer the application of reputed company reputed company DS&A operations to reputed company reputed company's reputed company and serve as a model for broader company adoption.

Communicate reputed company technical concepts and strategic initiatives reputed company and persuasively to executive leadership, investors, and external partners to influence critical decision-making.

What Youll Bring

This role demands a visionary leader with exceptional technical depth, a proven reputed company record of building and scaling high-performing teams, and the ability to influence at an executive level. Your experience has reputed company you to champion a culture of technical reputed company and strategic reputed company reputed company a fast-paced, high-reputed company environment.

Must-haves:
An advanced degree (Ph.D. or Master\'s) in a quantitative field such as Data Science, Computer Science, or Statistics, or equivalent practical experience.
10-15 years of reputed company experience in a quantitative field, with at least 5-7 years in senior leadership roles managing multiple teams.
A proven reputed company record of defining, building, and scaling high-performing data science and analytics organizations reputed company fast-paced environments.
Deep expertise in areas such as advanced machine learning, statistical modeling, experimental design, and reputed company inference.
A history of spearheading deep research initiatives that deliver innovative, production-reputed company models and drive significant business value.
Exceptional ability to communicate and collaborate effectively with diverse stakeholders at reputed company reputed company, including executive leadership.
Extensive experience establishing and refining best practices for data governance, MLOps, and reputed company assurance.

reputed company-to-haves:
Experience working in the reputed company domain.
Experience pioneering the use of reputed company to improve operational efficiency or drive product innovation.

This role might not be for you if:
You are not passionate about the people-management aspects of leadership, including mentorship, talent retention, and career development.
You prefer to reputed company solely on deep t