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Senior Data Scientist

About Providence

Providence, one of the US’s largest not-for-profit healthcare systems, is committed to high quality, compassionate healthcare for all. Driven by the belief that health is a human right and the vision, ‘Health for a better world’, Providence and its 121,000 caregivers strive to provide everyone access to affordable quality care and services.

Providence has a network of 51 hospitals, 1,000+ care clinics, senior services, supportive housing, and other health and educational services in the US.

Providence India is bringing to fruition the transformational shift of the healthcare ecosystem to Health 2.0. The India center will have focused efforts around healthcare technology and innovation, and play a vital role in driving digital transformation of health systems for improved patient outcomes and experiences, caregiver efficiency, and running the business of Providence at scale.


Why Us?

  • Best In-class Benefits
  • Inclusive Leadership
  • Reimagining Healthcare
  • Competitive Pay
  • Supportive Reporting Relation

About the Role
We are looking for a Senior Data Scientist with deep expertise in Marketing Analytics, particularly Marketing Mix Modeling (MMM), to drive data-driven decision-making across our marketing investments. This role will partner closely with Marketing, Finance, and Product teams to quantify channel effectiveness, optimize budget allocation, and unlock growth opportunities.

Key Responsibilities:

Marketing Mix Modeling & Measurement:
Design, develop, and maintain Marketing Mix Models (MMM) to measure the impact of various marketing channels (TV, digital, paid search, social, etc.)Apply advanced statistical techniques (e.g., regression modeling, Bayesian methods, time-series analysis) to quantify ROI and incremental liftIncorporate factors like seasonality, promotions, pricing, macroeconomic variables, and competitive activity into modelsContinuously improve model accuracy and scalability

Marketing Analytics & Insights: Analyze multi-channel campaign performance and provide actionable insights to optimize spendDevelop frameworks for attribution, incrementality testing, and experimentation (A/B testing, geo experiments)Translate complex analytical outputs into clear business recommendations

Data & Modeling Infrastructure: Work with large-scale structured and unstructured datasets (media spend, impressions, conversions, customer data)Build reusable pipelines and scalable solutions using tools like Python/R, SQL, and cloud platforms (AWS/GCP/Azure)Collaborate with Data Engineering teams to ensure data quality and availabilityStakeholder CollaborationPartner with Marketing leaders to influence budget allocation and strategic planning

Present insights to senior stakeholders, including non-technical audiencesAct as a thought leader on measurement frameworks and marketing effectiveness

Providence’s vision to create ‘Health for a Better World’ aids us to provide a fair and equitable workplace for all in our employment, whether temporary, part-time or full time, and to promote individuality and diversity of thought and background, and acknowledge its role in the organization’s success. This makes us committed towards equal employment opportunities, regardless of race, religion or belief, color, ancestry, disability, marital status, gender, sexual orientation, age, nationality, ethnic origin, pregnancy, or related needs, mental or sensory disability, HIV Status, or any other category protected by applicable law. In furtherance to our mission in building a more inclusive and equitable environment, we shall, from time to time, undertake programs to assist, uplift and empower underrepresented groups including but not limited to Women, PWD (Persons with Disabilities), LGTBQ+ (Lesbian, Gay, Transgender, Bisexual or Queer), Veterans and others. We strive to address all forms of discrimination or harassment and provide a safe and confidential process to report any misconduct.

Contact our Integrity hotline also, read our Code of Conduct.

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