Principal Data Scientist - Remote Health AI Leader

Optum

San Diego (CA)

Hybrid

USD 113,000 - 193,000

Full time

3 days ago
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Benefits offered by this job

Comprehensive benefits
Equity stock purchase
401k contribution
Remote work flexibility
Career development

Job summary

Optum Tech, a leader in health care innovation, seeks a Principal Data Scientist to drive advanced analytics and ML solutions. You will partner with product leaders and engineering to transform large healthcare datasets into actionable insights.

The role emphasizes best practices and scalable data strategies across the organization. You will work remote across the U.S., with Minneapolis or DC offices requiring four days in-office for local hires.

Qualifications

  • 8+ years of professional experience developing data science, machine learning, and advanced statistical models.
  • 5+ years programming in Python, R, or Scala for analytical solution development.
  • 4+ years writing complex SQL queries and extracting data from relational or enterprise databases.
  • 3+ years deploying machine learning models into production environments (MLOps).
  • Ability to communicate technical concepts to non-technical stakeholders.

Responsibilities

  • Lead the design, development, and deployment of end-to-end data science and machine learning models.
  • Partner with stakeholders to translate business priorities into data science roadmaps.
  • Analyze healthcare datasets to deliver actionable insights and predictive capabilities.
  • Establish standards and frameworks for statistical modeling and data analytics.
  • Evaluate new technologies and provide mentorship to the data science team.

Skills

8+ years experience
Python/R/Scala
SQL
MLOps
Communication skills

Education

Master's or PhD in a quantitative field

Tools

AWS
Azure
GCP
Spark
Databricks
TensorFlow
PyTorch

Job description

Optum Tech, a leader in health care innovation, seeks a Principal Data Scientist to drive advanced analytics and ML solutions. You will partner with product leaders and engineering to transform large healthcare datasets into actionable insights.

The role emphasizes best practices and scalable data strategies across the organization. You will work remote across the U.S., with Minneapolis or DC offices requiring four days in-office for local hires.

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