General Motors Data Scientist

Crunchtime helps multi-unit restaurants operate every location like their best one. Trusted by 850+ brands across 150,000+ locations worldwide, Crunchtime connects the full operations management lifecycle across inventory management, labor and scheduling, kitchen management, and operations execution, in the industry's only complete, AI-powered suite. Top operators, including Jersey Mike's, Five Guys, Smoothie King, Wingstop, and Chili's, rely on Crunchtime to achieve profitability and deliver great guest experiences every day in every store. To learn more, visit Crunchtime.com. Staff Data Scientist, * 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.

• 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

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., 2 Days Ago In-Office or Remote 195K-258K Annually Senior level 195K-258K Annually Senior level Blockchain * Fintech * Payments * Financial Services * Cryptocurrency * Web3 Partner with Digital Assets, Finance, Treasury, and Risk to design measurement frameworks, perform strategic analysis and modeling, build scalable SQL-driven automation and dashboards, analyze on-chain and finance data, create visualizations, and drive data-informed product decisions for USDC and related digital asset offerings. Top Skills: BlockchainPythonRSQL Circle

Data Scientist

6 Days Ago In-Office or Remote 195K-258K Annually Expert/Leader 195K-258K Annually Expert/Leader Blockchain * Fintech * Payments * Financial Services * Cryptocurrency * Web3 Lead payments-focused data science work: build foundational datasets, metrics, and scalable analytics; analyze customer and transaction behavior (including onchain data); conduct strategic analyses to identify product and revenue opportunities; build reporting, dashboards, and automation; and influence product and business strategy through data storytelling to senior stakeholders., Remote or Hybrid District of Columbia, USA 159K-246K Annually Senior level 159K-246K Annually Senior level Automotive * Big Data * Information Technology * Robotics * Software * Transportation * Manufacturing Lead product analytics for in-vehicle experiences: define KPIs and instrumentation, perform deep-dive behavioral analyses, build dashboards and self-serve analytics, guide experimentation and causal inference, and mentor teams to scale analytics practices across the Vehicle Product organization. Top Skills: DatabricksLookerPower BIPythonSQL

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

• Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
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• Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
• Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
• Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

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.