Apply now »

Principal 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

We are seeking a highly skilled Principal Data Scientist with a Bachelors/Masters/PhD in a quantitative field to join our Marketing Analytics team. The ideal candidate will have a deep understanding of statistical modeling, machine learning, and marketing measurement, with experience in working with large-scale marketing datasets.

As a Principal Data Scientist in Marketing, you will:

  • Contribute to defining the AI/ML vision for marketing at Providence India. Lead and design models like Propensity models, Lead Scoring, Next Best Action, and Response models for marketing performance and optimization.
  • Collaborate with stakeholders to develop models that inform marketing strategies, audience targeting, and channel prioritization. Engage in product features for marketing technologies.
  • Develop machine learning models alongside business stakeholders in Marketing, Strategy, and Digital to solve complex business problems.
  • Partner with cross-functional teams like product managers and data engineers to present actionable insights.
  • Design experiments to validate marketing models and continuously refine them for effectiveness.
  • Utilize advanced MLOps tools (e.g., Databricks, Azure) to deploy marketing models at scale.
  • Stay current with marketing trends and developments in AI/ML to ensure innovative solutions.

Who are we looking for?

  • 12+ years of experience in Data Science, preferably in Marketing Analytics, with a PhD in a quantitative field (e.g., Data Science, Computer Science, Statistics).
  • Expertise in marketing models, large-scale data analysis, and machine learning (Python or R).
  • Expertise in AI, ML, DL, GenAI, NLP, LLM models
  • Experience with cloud platforms (AWS, Azure, Snowflake) and big data technologies (Hadoop, Spark).
  • Ability to communicate complex data insights to non-technical marketing stakeholders.
  • A marketing or Martech background is highly desirable.

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.

Apply now »