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

Job Summary:

We are seeking a highly skilled and experienced Senior Data Scientist with deep expertise in statistical modeling, machine learning, and data-driven decision-making. The ideal candidate will lead complex analytical projects, design robust predictive models, and collaborate cross-functionally to drive strategic insights and innovation.

Key Responsibilities:

• Lead end-to-end data science projects from problem definition to model deployment.
• Apply advanced statistical techniques (e.g., hypothesis testing, Bayesian inference, time series analysis) to solve business problems.
• Design, build, and validate machine learning models for classification, regression, clustering, and recommendation systems.
• Interpret model results and communicate findings to stakeholders with clarity and impact.
• Collaborate with data engineers to ensure scalable data pipelines and model integration.
• Mentor junior data scientists and contribute to best practices in model development and evaluation.
• Stay current with the latest research and trends in ML/AI and apply them to real-world problems.

Required Qualifications:

• Master's or Ph.D. in Statistics, Mathematics, Computer Science, or a related field.
• 3-5+ years of experience in data science, with a strong portfolio of statistical and ML projects.
• Proficiency in Python or R, and ML libraries such as scikit-learn, XGBoost, TensorFlow, or PyTorch.
• Good Understanding in NLP, NER Techniques, RAG pipelines, Multi-Agent RAG pipelines, Hybrid search and context similarity techniques.
• Strong foundation in statistical theory and its practical applications.
• Experience with cloud platforms (Snowpark, Azure ML) and MLOps tools is a plus.
• Excellent communication and storytelling skills with data.

Preferred Skills:

• Experience in causal inference, A/B testing, and experimental design.
• Familiarity with deep learning architectures and NLP techniques.
• Exposure to big data tools like Spark, Snowflake, or Databricks.
• Domain expertise in [e.g. healthcare] is a plus.

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.