Summary
Join Guideline's Data Science team as a Staff Data Scientist! You will develop, test, and deploy AI/ML models to solve complex business problems. Transition models from proof-of-concept to production, ensuring scalability and performance. Collaborate with cross-functional teams and become a domain expert. Mentor junior team members and maintain high engineering standards. Guideline offers a competitive salary and comprehensive benefits package.
Requirements
- 5+ years of hands-on Data Science or ML Engineering experience (3+ years if you have a PhD)
- Proven track record of developing and deploying ML solutions in production, from PoC to scalable systems
- Strong programming skills (Python, C++, Java, or Scala) and proficiency in SQL for data extraction and manipulation
- Hands-on experience with cloud platforms (AWS, GCP, or Azure), MLOps, and containerization (Docker, Kubernetes)
- Ability to work cross-functionally, translating business needs into AI-driven solutions and communicating effectively with technical and non-technical stakeholders
Responsibilities
- Develop, test, and deploy AI/ML models to solve complex business problems, such as anomaly detection, personalized experience, generative AI application, algorithm & optimization
- Transition models from proof-of-concept to production-ready solutions, ensuring scalability and performance
- Review and contribute to codebases, participate in pull requests, and maintain high-quality engineering standards
- Work with containerized environments to deploy, monitor, and troubleshoot ML services
- Collaborate closely with cross-functional teams, including analytics, engineering, products and business stakeholders, to align solutions with organizational needs
- Become a domain expert in key business areas, enabling you to craft intelligent, impactful data-driven solutions
- Mentor and coach junior team members, sharing best practices and set the bar for technical excellence
Benefits
- Medical, dental, and vision insurance β We offer multiple plan options with varying company premium contributions
- Opt-out credit for waiving coverage
- Health Savings Account and Flexible Spending Account
- Company paid disability and life insurance
- Optional Voluntary life insurance
- Mental health benefit navigation with Rula for employees and dependents
- Paid parental leave for birthing and non-birthing parents
- Flexible time off in addition to company holidays β We observe the NYSE Holiday Calendar
- We use our own platform and contribute 100% of employee contributions up to 5%
- 1-month paid Sabbatical after 5 years of employment
- Annual learning and development stipend β We reimburse approved professional development expenses, up to $750 per employee per year
- In addition to base salary, this position is eligible to receive equity in the form of Incentive Stock Options (ISOs)
Disclaimer: Please check that the job is real before you apply. Applying might take you to another website that we don't own. Please be aware that any actions taken during the application process are solely your responsibility, and we bear no responsibility for any outcomes.