
Principal Data Scientist - Remote
- San Diego, CA
- $110,200-188,800 per year
- Permanent
- Full-time
- 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 to make and meet project commitments in an agile framework; rapidly delivering value to our customers via technology solutions
- 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 means of approaching problems 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 the context of machine learning engineering and direct 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 in research talks and white paper reviews
- Participate in research meant to ensure alignment of models to ethical standards to ensure machine learning models perform without harm to users
- 8+ years of experience in machine learning or data science: data analysis, algorithm design, model architecture specification, machine learning algorithm implementation
- 8+ years of coding experience with Python with emphasis on libraries from Pytorch, HuggingFace, and pandas
- 2+ years of experience leading development in a data science focused team using deep learning architectures
- 2+ years of experience in machine learning model development, transformer architectures, data trend analysis
- Experience digesting and implementing research from primary literature or white paper resources
- Production experience with cloud and big data technologies
- 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
- Experience with XML and XSLT
- IT full-stack engineering experience
- Publication history in deep learning or statistical domain
- Healthcare domain background