Staff Data Scientist (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Staff Data Scientist (AI): Building and optimizing analytics capabilities and deep learning models to enable data-driven business decisions for restaurant brands with an accent on predictive modeling and data interpretation. Focus on mentoring engineers, establishing technical standards via ADRs/RFCs, and integrating DevOps best practices into the data science workflow.
Location: Must be based in Boston, MA, Atlanta, GA, or Louisville, KY
Company
A global restaurant operations management platform used by top brands like Chipotle and Domino's to manage inventory, staffing, and food safety.
What you will do
- Mentor engineers and lead development teams to foster professional growth and product excellence.
- Drive the product roadmap by identifying and implementing opportunities for analytics improvement.
- Author ADRs, RFCs, and technical documentation to ensure transparent and well-considered decision-making.
- Develop predictive models and data-driven solutions for both internal and external stakeholders.
- Collaborate with Product Managers and Designers within an agile framework to enable tight feedback loops.
- Implement and advocate for TDD, CI, and DevOps best practices to maximize long-term development velocity.
Requirements
- 8+ years of experience as a data scientist reporting analytics for various applications.
- Proven experience in a player/coach role, leading development teams.
- Proficiency with Snowflake, Python, and SQL.
- Bachelor's degree in Computer Science, Statistics, Information Systems, or a related field.
- Location: Must be based in Boston, MA, Atlanta, GA, or Louisville, KY.
Nice to have
- Experience with React, Django, JavaScript, TypeScript, and NoSQL.
- Proficiency with AWS and Terraform.
- Background in DevOps and a history of open-source contributions.
Culture & Benefits
- Fast-paced, collaborative environment focused on solving high-impact business problems.
- Inclusive workplace that values diversity, unique perspectives, and mutual respect.
- Emphasis on building strong professional relationships and maintaining a fun work atmosphere.
- Commitment to equal employment opportunity and accessibility accommodations.
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