Senior Data Scientist
Hybrid · Boston, Massachusetts, United States
Job Summary
Senior Data Scientist at Tive will own and drive data science and ML features end-to-end across theft detection, routing intelligence, anomaly detection, and alerting. Collaborate with product managers and platform engineers to deliver production-ready features leveraging geospatial logistics data, real-world signals, and defensible evaluation measures. Build with production in mind from day one, including evaluation harnesses, precision/recall tracking, shadow-mode testing, and clean handoffs to platform engineering. Requires experience in Python, SQL, and cloud environments (Snowflake/AWS), plus strong communication skills to translate modeling decisions for product and executive stakeholders. Preferred background includes geospatial, supply chain, or IoT sensor data experience, agile development experience, and a track record of delivering end-to-end data science initiatives from proof of concept to production.
Required Qualifications
- 5+ years of industry data science experience with end-to-end ownership from concept to production
- Master's degree or PhD or equivalent work experience in computer science, mathematics, statistics, engineering, or related field
- Senior-level depth in statistical modeling, machine learning, and modern AI/LLM techniques
- Experience owning ambiguous, cross-functional problems from definition through execution
- Strong communication skills translating complex modeling decisions into business context
- Geospatial, supply chain, or IoT sensor data experience is a strong plus
- Strong Python skills and solid data engineering fundamentals
- Proficiency in SQL; dbt experience a plus
- Hands-on experience deploying and operating ML in Snowflake, AWS, or comparable cloud infrastructure
- Familiarity with Agile/Scrum development methodologies
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