Remote Senior Data Scientist

Description:

• Craver is a leading provider of custom-branded mobile apps for the restaurant industry, focusing on features like loyalty & rewards, subscription services, and single tap reordering.
• The company is dedicated to transforming customer engagement for quick-service restaurants and coffee shops across North America.
• Craver is hiring a Senior Data Scientist to help lead data initiatives as the company continues to grow.
• The role involves delivering quality software and innovative solutions by solving complex problems using cutting-edge technologies and excellent software development practices.
• The Senior Data Scientist will join the Product and Engineering team, responsible for maintaining and building all aspects of Mobile, Web, Restaurant, and Admin clients and infrastructure.
• The position is part of an Agile organization that works iteratively and incrementally, applying a Lean mindset to achieve shared goals.
• The role offers considerable impact and autonomy to shape the strategic and tactical approach to data.

Requirements:

• Candidates must be passionate about data and have a proven track record of leading data initiatives that drive business impact.
• The ideal candidate should excel at leading and mentoring teams while fostering a collaborative environment.
• Deep expertise in data quality and the ability to implement robust testing and validation frameworks is required.
• Extensive experience with Agile methodologies and the ability to lead teams through complex data projects is essential.
• Candidates should be experts in MLOps/DevOps/DataOps practices and capable of establishing these practices across teams.
• A thought leader who stays current with the latest developments in data science and can evaluate and implement new technologies is preferred.
• Advanced knowledge of SQL and Python, with experience building complex data systems, is necessary.
• Extensive experience with cloud platforms (GCP preferred, AWS/Azure accepted) and modern data architectures is required.
• Candidates must excel at stakeholder management and effectively communicate technical concepts to non-technical audiences.
• Deep statistical knowledge to guide strategic decisions through statistical analysis is essential.
• Strong incident management experience and the ability to lead teams through critical situations are required.
• Exceptional communication skills to influence at all levels of the organization are necessary.
• Typically, candidates should have 6+ years of professional data science experience and an advanced degree (Masters or PhD preferred) in Computer Science, Statistics, Mathematics, or a related field.
• Proven track record of leading data science initiatives in a fast-paced environment and experience building and leading data teams are required.
• Demonstrated expertise in machine learning and statistical modeling, along with a strong technical background in distributed systems and big data technologies, is necessary.

Benefits:

• Employees receive extended health care, vision care, and dental care.
• Flexible working hours and work-from-home opportunities are provided.
• Vacation and paid time off are included in the benefits package.
• The company hosts events and social hours for employees.
• Stock options are available as part of the compensation package.