
Data Scientist 1
1 day ago
Requisition # 2265202
SG 26 - India role (Data Scientist)
Total Position # 1
Role and Responsibilities
- 1. Interaction with key stakeholders and serve as data science contact/resource to support ongoing data exchange, analysis, reporting and interpretation of performance results; establish and maintain effective ongoing client relationships
2. Developing actionable insights and presenting recommendations for use across the internal/external stakeholder and leadership
4. Leverage UHG’s big data analytics infrastructure comprising Python, HIVE, SPARK, Cloud to tackle previously unsolved problems across various lines of business within the company
5. Open to adopt new tools, technologies, and methodologies to ensure that the team stays at the frontier of Analytics.
7. Use a flexible, analytical approach to design, develop, and evaluate predictive and prescriptive models and advanced algorithms that lead to optimal value extraction from the data.
Qualities
- Bachelor’s or master’s degree from a renowned institute in: Engineering/Statistics/Economics/Computer Science/ Mathematics (with a solid quantitative background)
- Around 2-3 years of experience in Data Science, AI/ML, or a similar role
- Solid theoretical and practical knowledge of some or most Machine learning techniques like Random Forest, Support Vector Machine, Gradient Boosting Machine, XGBoost etc.
- Expert level programming ability in Python/PySpark
- Proven excellent consulting skills, including the ability to engage with and present to senior leaders as well as stakeholders with minimum to high analytics exposure across various departments in an organization
- Proven excellent analytical and problem-solving skills, including the ability to disaggregate issues, identify root causes and recommend solutions
- Solid theoretical and practical knowledge of some or most Deep Learning techniques across Recurrent Neural Networks, Convolutional Neural Networks etc.
- Demonstrated hands on experience in using algorithm libraries / frameworks like PyTorch and / or TensorFlow
- Good theoretical and practical knowledge around LLMs and Generative AI
- Demonstrated hands on experience in solving real-world problems using Natural Language Processing (Text Classification, Sentiment Analysis, Summarization, NER etc.)
Mandatory Tech Skills/Experience:
1. Minimum 2+** years of solid work experience** with python, spark and HIVE and solid experience in developing AI/ML at scale **using Python, Spark and HIVE**
2. Minimum 2+** years of solid work experience** in AI and ML algorithms
3. Solid theoretical and practical knowledge of some Deep Learning techniques
4. Good theoretical and practical knowledge around LLMs and Generative AI
5. Ability to convert Business requirements into technical requirements and ability to develop Best in class data science solutions.
Domain Experience (Good to Have):
1. Understanding of Medicare risk adjustment programs
2. Understanding of CMS datasets such as MMR/MOR/EDPS etc.
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