Principal Data Scientist - Remote

About the Role

Key Responsibilities

• Initiate and drive novel method development in machine learning from first principles to deployed solutions
• Provide innovative modifications and extensions to existing deep learning and statistical learning architectures
• Perform independent statistical inquiry into new areas and identify growth points and areas of untapped information
• Partner with Engineering, Business, and Technical Product teams to meet project commitments in an agile framework and rapidly deliver value
• Mentor junior data scientists to successfully deliver software and business value
• Responsible for continuous improvement for alerts, monitors, and telemetry
• Communicate with stakeholders, subject matter experts, and colleagues to identify new approaches in the medical coding field
• Design novel methods in machine learning and launch them to production with the help of data engineers and deployment software engineers
• Perform independent analysis of trends in medical coding and production performance of statistical models
• Demonstrate leadership in machine learning engineering and guide the research direction of a multidisciplinary team focused on deep learning and LLM approaches
• Stay abreast of leading-edge technologies in machine learning and deep learning, participate and lead research talks and white paper reviews
• Participate in research to ensure models align with ethical standards and perform without harm to users

Requirements

• 8+ years of experience in machine learning or data science, including data analysis, algorithm design, model architecture specification, and algorithm implementation
• 8+ years of coding experience with Python or R
• 2+ years of experience leading development in a data science team using deep learning architectures
• 2+ years of experience in machine learning model development, transformer architectures, and data trend analysis
• 2+ years of experience digesting and implementing research from primary literature or white papers
• 1+ years of production experience with cloud and big data technologies
• 1+ years of agile development experience
• Legally authorized to work in the US without restrictions

Nice to Have

• Experience with SQL databases and query language
• Experience in AzureML, AWS, or cluster computing architectures
• Experience with Hybrid NLP solutions that combine symbolic and machine learning approaches
• IT full-stack engineering experience
• Healthcare domain background
• Publication history in deep learning or statistical domain

Qualifications

• Educational background implied by experience requirements (not explicitly specified)

Benefits & Perks

• Comprehensive benefits package
• Incentive and recognition programs
• Equity stock purchase
• 401k contribution
• Salary range from $110,200 to $188,800 annually
• Additional benefits and incentives based on eligibility