Founding Data Scientist

Jobtailor; California (MO); On-site; USD 120,000 - 180,000; Full time

Job summary

Jobtailor is seeking a data scientist/ML engineer to own risk and prediction models for flags on customs holds and temperature excursions. You will build dynamic re-routing for flagged events and own data infrastructure for model-ready signals, while designing rigorous experiments to evaluate performance.

Applicants should have 3–9 years of applied ML experience, production-model experience, and strong Python skills.

Qualifications

• 3-9 years of applied data science or ML experience.
• Experience shipping models to production.
• Strong in Python and modern data and ML stack.
• Comfortable owning data infrastructure: pipelines, feature engineering
• Real experimentation rigor and ability to design meaningful tests
• Understanding of data modeling and system connections
• Must be based in San Francisco or Chicago and excited about being in the office.

Responsibilities

• Own risk and prediction models that flag customs hold and temperature excursions.
• Build dynamic re-routing optimization for flagged exceptions.
• Own data and feature infrastructure for model-ready signals.
• Develop experimentation systems for model evaluation and metric definition.

Skills

Data Science Experience

Machine Learning Model Deployment

Python Proficiency

Data Infrastructure Ownership

Experimentation Design

Tools

Data Pipelines

Experimentation Systems

Job description

• Own risk and prediction models that flag customs hold and temperature excursions.
• Build dynamic re-routing optimization for flagged exceptions.
• Own data and feature infrastructure for model-ready signals.
• Develop experimentation systems for model evaluation and metric definition.

Requirements

• 3-9 years of applied data science or ML experience
• Experience shipping models to production
• Strong in Python and modern data and ML stack
• Comfortable owning data infrastructure: pipelines, feature engineering
• Real experimentation rigor and ability to design meaningful tests
• Understanding of data modeling and system connections
• Must be based in San Francisco or Chicago and excited about being in the office.

Core Competencies

Demonstrates expertise in data science and machine learning, with a strong focus on building and optimizing risk and prediction models. Proficient in Python and data infrastructure management, including pipelines and feature engineering.

Highest-signal resume keywords

• Data Science Experience
• Machine Learning Model Deployment
• Python Proficiency
• Data Infrastructure Ownership
• Experimentation Design

ATS Optimization Keywords

Hard Skills

• Data Science
• Machine Learning
• Model Deployment
• Feature Engineering
• Data Modeling

Soft Skills

• Problem Solving
• Analytical Thinking

Industry Keywords

• Risk Models
• Prediction Models
• Temperature Excursions
• Dynamic Re-Routing Optimization

Tools & Technologies

• Data Pipelines
• Experimentation Systems