Senior Data Scientist

Craver is a leading provider of custom-branded mobile apps for the restaurant industry, specializing in features like loyalty & rewards, subscription services, and single tap reordering. We are dedicated to transforming customer engagement for quick-service restaurants and coffee shops across North America.

Craver has been growing fast, so we're hiring a Senior Data Scientist to join our team and help lead our data initiatives!

We take pride in delivering quality software and innovative solutions to our clients by solving complicated problems using cutting edge technologies with excellent software development practices. We are looking for a collaborative, high-ownership Senior Data Scientist to join and help lead our Product and Engineering team to help us take Craver to the next level. The Product and Engineering team is responsible for maintaining and building all aspects of our Mobile, Web, Restaurant and Admin clients and infrastructure.

In this role, you will join an Agile organization that works iteratively and incrementally, applies a Lean mindset to our work, and rallies together to accomplish shared goals. We are at the early stages of our data journey, so this role will have considerable impact and autonomy to shape our strategic and tactical approach to data.

What you'll do

As a senior leader on our team, you will:

• Lead our data team while working directly with our Executive, Product, Engineering, Marketing, and Sales teams to identify, understand, analyze, transform, and propose data sources to produce business intelligence insights
• Architect and implement our data strategy using Looker BI and BigQuery on GCP, establishing best practices and frameworks for data analysis
• Design and implement sophisticated data pipelines using Python and Google Dataflow, ensuring scalability and reliability
• Lead the prioritization and execution of our data roadmap, working with stakeholders across the organization to deliver high-impact insights
• Establish and maintain robust data management practices, including data governance, quality assurance, and documentation standards
• Drive the adoption of advanced analytics and machine learning solutions to enhance our product offerings
• Lead the design and implementation of A/B testing frameworks and experimental design
• Provide technical leadership in data privacy, security, and compliance
• Develop and implement data-driven strategies to optimize business operations and drive growth

Who you are:

• You're passionate about data and have a proven track record of leading data initiatives that drive business impact
• You excel at leading and mentoring teams while fostering a collaborative environment
• You have deep expertise in data quality and can implement robust testing and validation frameworks
• You have extensive experience with Agile methodologies and can lead teams through complex data projects
• You're an expert in MLOps/DevOps/DataOps practices and can establish these practices across teams
• You're a thought leader who stays current with the latest developments in data science and can evaluate and implement new technologies
• You have advanced knowledge of SQL and Python, with experience building complex data systems
• You have extensive experience with cloud platforms (GCP preferred, AWS/Azure accepted) and modern data architectures
• You excel at stakeholder management and can effectively communicate technical concepts to non-technical audiences
• You have deep statistical knowledge and can guide strategic decisions through statistical analysis
• You're a natural problem solver who can tackle complex challenges while mentoring others
• You have strong incident management experience and can lead teams through critical situations
• You have exceptional communication skills and can influence at all levels of the organization

Qualifications:

• Typically 6+ years of professional data science experience
• Advanced degree (Masters or PhD preferred) in Computer Science, Statistics, Mathematics, or related field
• Proven track record of leading data science initiatives in a fast-paced environment
• Experience building and leading data teams
• Demonstrated expertise in machine learning and statistical modeling
• Strong technical background in distributed systems and big data technologies

• Extended health care
• Vision care
• Dental care
• Flexible working hours
• Work from home opportunities
• Vacation & paid time off
• Company events & social hours
• Stock options

Base Compensation/Salary Range:

The compensation offered depends on several factors including experience and education.

$90k-130k per year