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Senior Data Scientist - Remote

Posted 5 hours ago
Data Analysis
Full Time
Worldwide

Overview

Rackner is seeking a Senior Data Scientist to architect advanced machine learning solutions and lead the strategic implementation of cutting-edge AI technologies, with a focus on Artificial Intelligence (AI) and Large Language Models (LLMs).

In Short

  • Architect and develop AI/ML models for analyzing regulatory documents
  • Collaborate with FDA subject matter experts to validate models
  • Implement data preprocessing and feature engineering pipelines
  • Optimize model performance for accuracy and efficiency
  • Ensure compliance with FDA Good Machine Learning Practices
  • Conduct predictive modeling and continuous model monitoring
  • Deliver client-facing presentations to stakeholders
  • Identify new opportunities for innovation in AI/ML
  • Lead LLM development initiatives

Requirements

  • Bachelor’s or Master’s degree in a relevant field
  • 7–8 years of experience in data science or analytics
  • 2–3 years of hands-on experience with LLMs
  • Ability to obtain a Public Trust Clearance
  • Authorization to work in the United States

Benefits

  • 401(k) with company match
  • Highly competitive Paid Time Off (PTO)
  • Comprehensive health insurance
  • Life Insurance and Disability coverage
  • Weekly pay schedule
  • Home office reimbursement plan
  • Fitness/Gym membership eligibility
  • Employee swag and company events
Rackner logo

Rackner

Rackner is a dynamic software consultancy specializing in the development of cloud-native solutions for startups, enterprises, and the public sector. With a strong focus on digital transformation, Rackner leverages cutting-edge distributed technologies to deliver innovative, cost-effective solutions. The company emphasizes end-to-end application development, DevSecOps, AI/ML, and systems architecture, catering to a diverse range of industries. Committed to employee growth, Rackner offers extensive training, certification support, and a comprehensive benefits package, fostering a collaborative and high-performing work environment.

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