Data Scientist - Python, AI/ML

About Optum

Optum is a global organization dedicated to delivering care aided by technology, helping millions live healthier lives. Joining our team means directly improving health outcomes by connecting people with necessary care, pharmacy benefits, data, and resources. We foster a culture guided by diversity, inclusion, talented peers, comprehensive benefits, and career development opportunities. Come make an impact and advance health equity on a global scale.

Primary Responsibilities

• Interact with Business partners/stakeholders to understand business requirements and the applicability of Data Science models.
• Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to value delivery, prototype development, and product improvement.
• Use a flexible, analytical approach to design, develop, and evaluate predictive and prescriptive models and advanced algorithms for optimal value generation from data.
• Generate and validate hypotheses for business problems using Data Science techniques.
• Prepare data for data science problems; design, develop, and implement ML/Statistical Models with business problems in mind.
• Conduct complex data analysis and develop reports on results.
• Present written and verbal data analysis findings to both the project team and business stakeholders.
• Ensure timely delivery of assigned tasks/projects as per Business expectations.
• Consistently demonstrate clear and concise written and verbal communication.
• Effectively use complex analytical, interpretive, and problem-solving techniques.
• Coordinate and work effectively with inter/intra team members.

Required Qualifications

• Undergraduate degree or equivalent experience.
• Working experience and in-depth understanding of statistical techniques (supervised - e.g., linear regression, logistic regression, Classification, Decision Trees, SVM; and unsupervised - Clustering and Association) and prior experience in solving Business problems using these techniques.
• Working knowledge and in-depth experience in generating and validating hypotheses.
• In-depth knowledge and working experience with analytics and statistical software such as R, Python and others to develop AI/ML solutions.
• Working experience in either Big Data Platform or in Cloud (Azure/AWS) to develop Data Science models.
• Strong problem-solving and critical thinking skills.
• Good communication skills.

Preferred Qualifications

• Knowledge of NLP (NLP Packages, Language Models, Transformer models, etc.).
• Knowledge of No-SQL Databases (Mongo-DB) / Graph database.
• Understanding of US Healthcare.