Job Information
UnitedHealth Group Senior Data Scientist in Noida, India
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 diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together.
Primary Responsibilities:
Developing and running pipelines for data ingress and model output egress
Developing and running scripts for ML model inference
Design, implement, and maintain CI/CD pipelines for MLOps and DevOps functions
Identifying technical problems and developing software updates and ‘fixes’
Developing scripts or tools to automate repetitive tasks
Automate the provisioning and configuration of infrastructure resources
Provide guidance on how to best use specific tools or technologies to achieve the desired results
Creating documentation for infrastructure design and deployment procedures
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:
Undergraduate degree or equivalent experience
Proficient in Python and one of PySpark or Scala. Familiarity with python tools for data processing
Ability to develop and deploy data pipelines, machine learning models, or applications on cloud platforms (Azure, AWS,Databricks, AzureML)
Knowledge of the software development life cycle
Linux shell scripting
DevOps Skills:
Experience building and maintaining CI/CD pipelines
Familiarity with traditional sofware monitoring, scaling, and quality management (QMS)
Experience with DevOps tools (Github, GitHub Actions, Docker, Kubernetes, etc.)
Experience with one or more data-oriented workflow orchestration frameworks (Prefect, Dagster, Kedro, Airbyte, KubeFlow, Airflow, Argo, etc.)
Security and vulnerability management
Preferred Qualifications:
Experience deploying and maintaining ML models in production
Experience with model observability tools for insights into the behavior, performance, and health of your deployed ML models (tracking, alerting, compliance monitoring, etc.)
MLOps Skills
Familiarity with model versioning tools (MLFlow, etc.)
Familiarity with data versioning tools (Delta Lake, DVC, LakeFS, etc.)
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone–of every race, gender, sexuality, age, location and income–deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission.
UnitedHealth Group
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