Job Description

Global restaurant brands run their operation on the Crunchtime platform. Delivering a consistent guest experience across every location and managing food and labor costs are at the core of how Crunchtime’s software is used today in over 150,000 locations across 100+ countries by the world’s top restaurant and foodservice operators. Customers including Chipotle, Culver’s, Domino’s, Dunkin’, Five Guys and P.F. Chang’s rely on our top-ranked platform which now includes Zenput to manage inventory, staff scheduling, learning and development, food safety, operational tasks and audits.

Staff Data Scientist

At Crunchtime, we are on a mission to empower the world's leading hospitality brands to run more professional, ethical, and profitable operations. Our platform supports over 850+ brands across 150,000+ locations, and as a Staff Data Scientist, you will play a pivotal role in transforming vast amounts of data into actionable insights that shape the future of the hospitality industry.

THIS POSITION IS NOT ELIGIBLE FOR VISA SPONSORSHIP

What You’ll Do

Architect Predictive Solutions: Lead the design and deployment of advanced deep learning and predictive models to drive decision-making for both internal stakeholders and external customers.
Mentor and Cultivate Talent: Guide and grow fellow data professionals, fostering an inclusive environment where the team can thrive through peer reviews and technical mentorship.
Drive Technical Excellence: Author ADRs (Architecture Decision Records) and RFCs to ensure our data infrastructure and modeling choices are transparent, well-considered, and built for long-term scale.
Collaborate Cross-Functionally: Partner closely with Product Managers, Designers, and Engineering leads to identify high-impact opportunities that align with our product roadmap.
Optimize Delivery Velocity: Implement and advocate for best practices in CI/CD and MLOps to ensure reliable, iterative deployment of models within an agile framework.
Solve Complex Ambiguity: Translate broad business challenges into structured data problems, navigating ambiguity to deliver solutions that significantly impact customer success.

What You’ll Bring

Demonstrated Expertise: Proven ability to lead complex data science initiatives and report sophisticated analytics across diverse applications.
Leadership Presence: Extensive experience in a "player/coach" capacity, with a track record of leading technical projects and elevating the performance of development teams.
Technical Proficiency: Mastery of Python and SQL, with significant experience leveraging Snowflake for large-scale data orchestration.
Growth Mindset: A proactive approach to learning new technologies and a commitment to "Succeeding Together" through collaborative problem-solving.
Analytical Rigor: A deep understanding of statistical modeling, information systems, and the ability to maintain high levels of mental focus on intricate data patterns.

The Plus Factor

Familiarity with our broader tech stack, including AWS, Terraform, or Django.
Experience with MLOps and automating the machine learning lifecycle.
Active contributions to the open-source community.

Essential Physical & Mental Requirements:

Prolonged periods of sitting at a desk
Prolonged periods of typing and working at a computer
Ability to listen and speak over the phone or Zoom calls
High level of mental concentration and focus

Other Duties:

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

Compensation:
The annual base compensation range for this position is $150,000-$175,000. The reasonably estimated total cash compensation (base + variable) range for this full-time position will be $161,250-$188,125.

Actual compensation is based on factors unique to each candidate, including, but not limited to, job-related skills, qualifications, education, experience, and location. Crunchtime has a location-based compensation system, so someone doing the same job in a different city might have a different pay range.

Equal Employment Opportunity Policy

Crunchtime provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

Accessibility Accommodation Statement

Crunchtime complies with federal and state disability laws and makes reasonable accommodations for applicants and employees with disabilities. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact recruiting@crunchtime.com.

Equal Employment Opportunity Statement

At Crunchtime, we are an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other characteristic.

We have an inclusive and diverse workplace where every team member is respected and valued. As a global software development company, we believe that our diverse employee population enriches our work environment.

Join us in our mission to provide the best software solutions to the food industry. We encourage you to apply regardless of your background or experience; even if you don’t meet all the qualifications, because we believe unique experiences and perspectives make us a stronger team.

Staff Data Scientist - Zenput