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

JD- Senior Data Scientist

 

How is this Team contributing to the vision of Providence: 

We, at Enterprise Services, the healthcare consulting and services arm of Providence India, help build technology solutions that modernize and simplify each step of the healthcare delivery process. And we do that by putting the patient and the provider at the centre of everything we do. Using the most promising and practical ideas, combined with the experience and expertise from people from the healthcare industry, we are creating experiences that work for care facilities, their patients and move us ahead on our mission of “Health for a better world “

 

 What will you be responsible for?

 

As a Senior Data Scientist, you will be responsible to develop effective and high-quality healthcare program integrity analytics that meet business requirements. Technical abilities include following Python/R coding best practices, performance tuning, unit testing and production support.

 

What would your day look like? 

 

  • Performs advanced statistical analyses to identify patterns and trends and opportunity assessments to assist in delivering optimal healthcare management and decision making.
  • Designs data visualizations and determines the best way to present data in a clear understandable format using reports, drilldowns, tables, gauges, graphs, charts, and other intuitive graphical add-ons.
  • Experience working with Gen-AI, expertise in fine-tuning transformer-based models / LLMs- GPT, Llama, PaLM, BERT and RAG models.
  • Fine-tuning of Large Language Models (GPT/ PaLM/ Llama) to meet specific business requirements.
  • Develop and implement machine learning models using a variety of techniques (supervised and unsupervised learning models including NLP, Deep learning Models, and Predictive Analytics)
  • Ensure accuracy of data and deliverables of reporting employees with comprehensive policies and processes.
  • Manage and optimize processes for data intake, validation, mining, and engineering as well as modelling, visualization, and communication deliverables.
  • Prepares and delivers results to leadership with analytic insights, interpretations, and recommendations.
  • Using healthcare data to achieve administrative needs and goals.
  • Understanding data storage and data sharing methods.
  • Understanding healthcare business operations.
  • Utilizing different data sources for analyses.
  • Developing reports and presentations.
  • Communicating analytic insights to management.

 

Who are we looking for?

  • 3-5 yrs. of professional work experience preferable in management consulting or high growth start-ups preferably in healthcare.
  • 3+ years of experience in a data analytical role.
  • Bachelor's degree in mathematics, statistics, healthcare administration, or related field.
  • Experience in Python Libraries like NumPy, Scikit learn, Open CV
  • Advanced expertise in algorithms, data analytics
  • Experience with data visualization tools.
  • Solid knowledge and experience of supervised, unsupervised machine learning algorithms. For e.g (but not limited to) : linear regressions, bayesian regressions, multi objective optimization techniques, classifiers, cluster analysis, dimension reduction etc.
  • Understanding of techniques like Market Mix Modelling, Price Elasticity models, Sales Promo Uplift Modelling, Build the Optimization & Simulation for Marketing scenario in Python/R
  • Good knowledge of statistics for e.g : statistical tests & distributions
  • Experience in Data analysis for e.g : data cleansing, standardization and data preparation for the machine learning use cases
  • Expertise with visualization tools For e.g : Power BI,Excel
  • Knowledge of data management applications.
  • Analytical mindset with good problem-solving skills.
  • Excellent written and verbal communication skills.
  • Good interpersonal skills.

 

 

 

Contact our Integrity hotline also, read our Code of Conduct

EthicsPoint - Providence Health & Services 

EthicsPoint - Providence Health & Services 

 

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.