Senior Data Scientist

The role

Own and ship innovative customer-facing data science and AI features across Tive's core roadmap spanning theft detection, routing intelligence, anomaly detection, and alerting.

Drive initiatives end-to-end from ideation, scoping, modeling, to production and deployment, with full accountability for outcomes and execution.

Bring creativity to unsolved problems where the right approach isn't obvious and the playbook doesn't exist yet.

Build with production in mind from day one. Evaluation harnesses, precision/recall tracking, shadow-mode testing, and clean handoffs to platform engineering are how we work.

Collaborate closely with product managers, platform engineers, and other stakeholders within a structured, outcome-oriented process.

Hold a high bar for quality, transparency, and rigor.

Requirements

• 5+ years of industry data science experience, with a track record of owning initiatives end-to-end from proof of concept to production.
• Master's, PhD, or equivalent work experience in computer science, mathematics, statistics, engineering, or a related technical field.
• Senior-level depth in statistical modeling, ML, and modern AI/LLM techniques
• Experience in owning ambiguous, cross-functional problems from definition through execution.
• Strong communication skills: you can translate complex modeling decisions into clear business context for product and executive stakeholders.
• Geospatial, supply chain, or IoT sensor data experience is a strong plus: our data is inherently spatial and physical, and domain intuition accelerates impact.
• Strong Python skills and solid data engineering fundamentals.
• Proficiency in SQL. Experience with dbt is a plus.
• Hands-on experience deploying and operating ML in Snowflake, AWS, or comparable cloud infrastructure.
• Familiarity with Agile/Scrum development methodologies.

Qualifications

Preferred Experience:

• Experience in owning ambiguous, cross-functional problems from definition through execution.
• Strong communication skills: you can translate complex modeling decisions into clear business context for product and executive stakeholders.
• Geospatial, supply chain, or IoT sensor data experience is a strong plus: our data is inherently spatial and physical, and domain intuition accelerates impact.
• Strong Python skills and solid data engineering fundamentals.
• Proficiency in SQL. Experience with dbt is a plus.
• Hands-on experience deploying and operating ML in Snowflake, AWS, or comparable cloud infrastructure.
• Familiarity with Agile/Scrum development methodologies.

Benefits

A chance to join what may very well turn out to be the most important company in your career.

The autonomy and resources to build what you know how to build.

Work with a committed global team that have each others back.

Office-based or hybrid options. Your choice.

Competitive equity to ensure all of our employees have a sense of ownership in the long-term success of Tive’s growth.