Senior Data Scientist

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.

Primary Responsibilities:

• Analyze large, complex datasets to uncover patterns, trends, and actionable insights
• Design, build, and evaluate predictive and prescriptive ML models to improve business outcomes
• Apply statistics, machine learning, simulation, and advanced mathematics to solve complex problems
• Develop innovative analytical approaches and prototype datadriven solutions for product improvement
• Collaborate with crossfunctional teams to translate business needs into scalable analytical solutions

• Interpret and communicate analytical results to stakeholders with clear insights and recommendations

• Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Required Qualifications:

• Bachelor's degree or equivalent experience
• Experience in designing and evaluating advanced algorithms for complex business problems
• Experience in Statistics, probability, hypothesis testing
• Experience in Machine Learning: regression, classification, clustering
• Experience in feature engineering and model evaluation
• Experience in data wrangling from large, complex datasets
• Solid foundation in statistics, machine learning, data modeling, and advanced mathematics
• Proficiency in Python, R, SQL, and analytical/ML frameworks such as Hadoop or similar tools
• Proven solid problemsolving skills with the ability to interpret data and provide actionable insights
• Demonstrated ability to analyze large, unstructured datasets and build predictive/prescriptive models
• Demonstrated ability to work with crossfunctional teams and communicate analytical findings clearly
• Advanced Skills:
  • Working with data engineers for productionization
  • Model Explainability and bias detection
  • Proven predictive and prescriptive modeling

Preferred Qualification:

• Advanced Skill:
  • Timeseries, NLP