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61 Providence College of Engineering Jobs
Principal Data Scientist
5-9 years
Hyderabad / Secunderabad
1 vacancy
Principal Data Scientist
Providence College of Engineering
posted 13hr ago
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Job Description
Principal Data Scientist
What will you be responsible for?
As a Principal 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. In Addition, your responsibilities include:
- 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.
- Understanding data storage and data sharing methods.
- Understanding healthcare business operations.
- Strong proficiency in: Python, PySpark, SQL, R & have experience in machine learning libraries & frameworks such as TensorFlow, PyTorch, or Keras.
- Deep expertise in traditional as well as modern statistical & ML techniques like regression, support vector machines, Regularization, Boosting, Random Forests & other ensemble methods.
- Proficiency in developing NLP models using: Nltk, spacy, Genism , Word 2 Vec , Seq 2 seq , transformers , BERT etc.
- Prior hands-on experience in analysing large and complex data sets, data reliability analysis, quality controls and data processing, with focus on model validation practices.
Who are we looking for?
- 12 yrs. of professional work experience preferable in management consulting or high growth start-ups preferably in healthcare and 8-12+ years of experience in a data analytical role.
- Bachelors degree in mathematics, statistics, healthcare administration, or related field.
- Masters degree advantageous.
- 5+ years of experience in Python, SQL, R, SAS
- Designing, developing, and implementing AI/ generative AI models & algorithms to solve complex problems and drive innovation across organization.
- Lead all stages of AI/ML solutions implementation: Gathering business requirements & understanding, data requirements for the solution build, any constraints (data /business), data exploration/solution design, machine learning models development, active collaboration with model risk team to ensure high quality model deployment & minimize enterprise risk.
- Lead the implementation of AI solutions to deliver business impact with focus on value, success criteria alignment, scalability, and operationalization.
- Collaborating with cross-functional teams to define project requirements and objectives, ensuring alignment with overall business goals for integration, sign-off and deploying machine learning models into production.
- Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.
- Engage team members, project managers & business stakeholders in the analysis and interpretation of experimentation results & ensuring feedback is incorporated as appropriate into models.
- Drive best practices throughout development process and publish learnings/feedback for continuous learning.
- Lead/drive and accelerate innovations in discovery phase via insights, frameworks, causal inference solutions and machine learning prototypes via POCs.
- Refine standards and processes for AI solution development & implementation in close collaboration with data science leaders and team in the US. Ensure adherence to the industry / enterprise standards and best practices.
- Develop and institutionalize best practices and re-usable components, contribute to research and experimentation efforts.
- Lead, coach, support, and mentor data scientists in the team review their work as required, provide adequate guidance, feedback to help them achieve their goals and do right for Enterprise.
- Participate in talent acquisition activities to build strong talent pool of Data Scientists.
Contact our Integrity hotline also, read our Code of Conduct .
Employment Type: Full Time, Permanent
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Providence College of Engineering Benefits
Soft Skill Training 
Team Outings 
Cafeteria 
Education Assistance 
Health Insurance 
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