Job Description

We are seeking an innovative and highly skilled Principal Data Scientist whose experience is a blend of healthcare expertise, business acumen, and advanced data science methodologies to develop impactful data-driven solutions that address the needs of GWT's Medicaid clients. You will spearhead the design and implementation of scalable data science work products while mentoring junior team members and ensuring adherence to industry best practices. This remote contract position starts in January and ends in May 2025.

WORKSITE: Remote - preferred Eastern or Central Time Zone

WORK SCHEDULE: Monday - Friday

COMPENSATION: $40 to $43/hour

WHAT WE OFFER:

• Paid sick leave based on state regulations after 90 days of employment
• Medical, dental, and vision are offered after a waiting period (60% paid by Fortuna)
• Free TeleMedicine and Mental Health for all employees and their families
• Additional volunteer options such as Group Life Insurance, Accidental Insurance, Critical Care, Short Term Disability

WHAT YOU'LL DO:

• Data Science Development :

  • Develop data science solutions using advanced methodologies including quasi-experimentation, statistical modeling, and machine learning.
  • Perform data ingestion, cleansing, feature engineering, filtering, and aggregating processes.
  • Implement iterative development, CI/CD pipelines, and continuous production integration for scalable solutions.

• Healthcare Expertise :

  • Leverage healthcare training and experience to extract actionable insights from messy, large-scale healthcare datasets (>10 billion rows).
  • Apply causal inference techniques to repurposed healthcare data, driving programmatic advancements for Medicaid clients.

• Technical Mastery :

  • Write and optimize complex SQL queries, leveraging windowing functions, indexing, stored procedures, and materialized views.
  • Utilize Python for object-oriented designs and machine-learning workflows with a focus on explainability.
  • Work with massively parallel database environments, optimizing data models for distribution keys and schemas.
  • Handle semi-structured and unstructured data using schema-on-read approaches, parsers, and NLP packages.

• Collaboration and Mentorship :

  • Mentor and guide less experienced team members to refine their data science craft.
  • Collaborate with cross-functional teams and present findings to business stakeholders and executives effectively.

• Tool Utilization :

  • Leverage mainstream BI dashboarding tools such as Power BI, Tableau, and SAS for data visualization.
  • Utilize Dev/Sec/Ops tools to enhance iterative development and performance optimization.

WHAT YOU'LL BRING:

• Expert-level SQL and performance optimization experience with large-scale datasets.
• Advanced Python programming skills for data science and machine learning.
• Strong foundation in repeated measures, time series, and statistical estimation.
• Proven ability to derive insights from healthcare data with solid medical training or equivalent practical experience.
• Experience with explainable AI, machine learning, and causal inference.
• Proficiency in cloud-based data science environments with elastic scaling.
• Strong written and verbal communication skills, with a demonstrated ability to mentor others.

Preferred Skills and Experience

• Familiarity with CQRS data structures, state machines, and stack implementation.
• Experience with DataBricks; knowledge of Scala is a plus.
• Actuarial training and experience.
• Understanding of functional programming concepts.

Fortuna operates as a staffing agency that sources, screens and presents potential candidates for employment opportunities on behalf of our clients.

Fortuna was founded in 2012 by practicing professionals with more than 50 combined years of experience. Our headquarters is in McClellan, California with offices in Los Angeles and New York, and satellite offices in the Philippines and Israel. Fortuna is an active member of multiple California service agreements, including the CMAS, ITMSA (Tier 2), and CalPERS SpringFed Pool, as well as multiple municipalities and large corporation vendor pools

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