Senior Data Scientist

At Tive, we imagine a fully-transparent world in which everything and everyone is connected. We innovate beyond what the world thought possible—so what people hold near and dear arrives on time and in full.

We believe (and live!) four core values:

• Transparency First: We make everything visible so that everyone can operate better
• Always strive to make things simpler
• We are One Team, we have each other's backs
• Relentless iteration to optimize and improve

Whether shipped by road, rail, ocean, or air, Tive reduces shipment delays, minimizes rejected loads, and decreases theft, damage, and spoilage. Our customers count on Tive to ensure that their shipments are delivered on time and in full—because every shipment matters.

As a Senior Data Scientist at Tive, you will own and drive data science and machine learning features end-to-end: from problem framing, solutioning, and modeling through to production and monitoring. You will work at the intersection of AI, machine learning, geospatial intelligence, and real-world logistics data to build capabilities that turn raw signals into intelligence customers can act on. The best ideas only count if they ship.

The problems we work on don't have established playbooks. Our trackers generate a rich proprietary dataset of real-world shipment, sensor, and geospatial data, and we own it end to end, from device to platform. We work within a rich space of possibilities for delivering value to our customers. 

What Our Ideal Candidate Will Do:

• 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.

Preferred Experience:

• 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.

What does Tive offer?

• 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.
  

Compensation:

$130,000 - $180,000 base salary

The specific pay offered may be influenced by a variety of factors, including the candidate’s experience, education, and skill set.

We celebrate diversity, and consider it key to our success as both a team and a company. We are proud to be an equal-opportunity employer, and we are committed to creating an inclusive environment of mutual respect for all employees.