Note: The job is a remote job and is open to candidates in USA. Enlyte is a company that combines innovative technology, clinical expertise, and human compassion to help people recover after workplace injuries or auto accidents. They are seeking an experienced Data Scientist to leverage AI/ML technology to drive customer and business value, guiding product managers and engineers in realizing solutions across their product range.
Responsibilities
- Drive discovery of AI/ML opportunities across product portfolio and guide implementation
- Design and optimize prompts for large language models to support generative AI features
- Build, evaluate, and deploy machine learning models in production environments
- Collaborate with product managers, engineers, and domain experts to translate business problems into technical solutions
- Define best practices for ML pipeline automation, model monitoring, and scalable deployment
- Communicate findings and recommendations to technical and non-technical stakeholders
Skills
- MS/PhD in appropriate field (e.g. Math/Statistics/Computer Science) with 6+ (MS) / 3+ (PhD) years of professional experience in machine learning projects
- 1+ years of experience in building, deploying and maintaining machine learning models on production environment
- Experience in machine learning projects involving data warehouse, feature engineering, ML pipeline automation and ML monitoring
- Excellent understanding of many machine learning algorithms/techniques/tools, capable of explaining the underlying concepts and principles
- High proficiency with Python programming language
- High proficiency with SQL
- Good understanding of data warehousing and ETL techniques
- Excellent written and verbal communication skills with the ability to educate and influence
- High level of initiative and passion to deliver results
- Experience with AWS Sagemaker is a plus
Benefits
- Medical
- Dental
- Vision
- Health Savings Accounts / Flexible Spending Accounts
- Life and AD&D Insurance
- 401(k)
- Tuition Reimbursement
- Benefits eligibility may differ depending on full-time or part-time status
- An array of resources that encourage a lifetime of healthier living
Company Overview