Data Scientist: Pricing & Inventory Analytics

Pacific Air Industries; Los Angeles (CA); Hybrid; USD 120,000 - 190,000; Full time

Job summary

Pacific Air Industries, a leading aviation aftermarket business, seeks a Data Scientist to develop machine learning, pricing, valuation, and predictive analytics that influence revenue, margins, purchasing, and sales.

You will work with Snowflake data across more than two million part numbers, building models for pricing, package valuation, quote prioritization, and inventory optimization. This role blends data analytics, ML, SQL, and business problem solving to deliver measurable results.

Qualifications

• Strong grounding in statistics and predictive modeling.
• Experience deploying models in production that drive business value.
• Proficient with SQL and Python, and comfortable with Snowflake data.

Responsibilities

• Develop machine learning, pricing, valuation, and predictive analytics solutions to impact revenue and margins.
• Build and improve models using Snowflake data across 2M part numbers.
• Create self-service tools for Sales and Operations to access accurate data for RFQs and quotes.
• Evaluate model performance against actual results and iterate accordingly.
• Collaborate across Data Science, Sales, and Operations to translate data into actionable decisions.

Skills

Statistical methods

Machine learning

Communication

Problem solving

Team collaboration

Education

Bachelor’s degree in a technical field

Tools

SQL

Python

Snowflake

dbt

Job description

Pacific Air Industries, a leading aviation aftermarket business, seeks a Data Scientist to develop machine learning, pricing, valuation, and predictive analytics that influence revenue, margins, purchasing, and sales.

You will work with Snowflake data across more than two million part numbers, building models for pricing, package valuation, quote prioritization, and inventory optimization. This role blends data analytics, ML, SQL, and business problem solving to deliver measurable results.