Lead Data Scientist

Skills

• AI / ML
• Microservices & API Development
• Python
• SQL
• Knowledge of popular LLMs like ChatGPT, Claude, etc
• Prompt engineering

• Maintain and monitor existing AI/ML based solutions/services
• Develop automated alerting system to ensure quality of the services and data
• Develop data visualizations and reports to communicate findings to stakeholders
• Collaborate with cross-functional teams to identify business problems and develop data-driven AI/ML solutions
• Influence short- and long-term strategy with cross-functional teams to drive impact
• Support on-call shift as needed to support the team

• Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience
• Strong experience with SQL and data visualization tools (e.g., Tableau, Power BI, etc.)
• Experience with data cleaning, data preprocessing, and data analysis
• 5+ years of experience in software development with Python (knowledge/experience with PHP or Java is a plus)
• Experience with service deployment, microservices, and APIs (RESTful API or Graph
  
  QL) designs
• Experience with git or similar version control tools. Good understanding of version control (branch, commit, pull, etc.)

• Experience with service monitoring, anomaly detection, and alert automation
• Knowledge of CI/CD, containerization, container orchestration, and IaC
• Familiarity with agile development methodologies such as Scrum or Kanban
• Understanding of predictive analytics and algorithms like linear regression, clustering, decision trees, etc.
• Knowledge of prompt engineering
• Knowledge of popular LLMs like ChatGPT, Claude, etc. and introductory experience with prompting and prompt engineering