Optum is looking to solve large-scale data problems and advance ML/AI practices to address real-world customer challenges and enhance analytical capabilities using cutting-edge technologies to deepen understanding of consumer experiences at Optum.
Requirements
- 3+ years of experience wrangling large datasets with big data tools
- 2+ years of hands-on experience in developing analytics with machine learning, deep learning, NLP, and/or other related modeling techniques
- 2+ years of experience using Python
- 2+ years of experience using SQL
- 2+ years of experience using Spark
- 2+ years of experience developing and deploying analytic solutions using AWS/Azure/GCP
- Experience building GenAi products
Responsibilities
- Collaborate with product, engineering, and design teams to develop, launch, and lead Gen AI and ML-based data science initiatives
- Construct advanced analytics solutions ready for production to enhance business decision-making
- Enhance analytics techniques, such as statistical analysis and complex data mining, to provide quicker, more profound insights that influence the Optum consumer experience
- Innovate and share new technical solutions and product ideas with the Optum analytics teams.
- Engage in meetings to define data science use-cases and develop detailed work scopes with stakeholders, data professionals, and digital product teams
- Lead by example, building prototypes and adhering to the ML development cycle, including iterative EDA, prediction specification, feature engineering, and model tuning
- Act as a thought leader and coach to junior team members on a variety of statistical/machine learning methods
Other
- Effectively communicate complex ideas at all organizational levels
- Mentor and guide the data science team
- Act as a storyteller, explaining the rationale and methodology behind data-driven recommendations to diverse teams
- Evaluate internal data and processes to identify opportunities for applying advanced analytics across the division
- Continuously enhance personal knowledge of methods and modeling techniques through research, presentations, and webinars
