Divergent
Operations Analyst
$100K–$138K
Long Beach, California, United States +3 · Full-time · Posted Oct 22, 2026
- Location
- Long Beach, California, United States
Torrance, California, United States
Long Beach, California, United States
Torrance, California, United States - Education
- Bachelor’s or Master’s in Data Science, Statistics, CS, Operations Research, or related field (or equivalent experience).
- Visa sponsorship
- The role requires ability to lawfully access information and technology subject to US export controls. The employer uses E-Verify to confirm work eligibility after Form I-9 completion.
About the job
Turns manufacturing and production data into models, shared data foundations, and operational insights for pricing, process improvement, simulation, and factory scaling.
What you'll do
- Develop and validate statistical and machine-learning models for granular production time and cost prediction.
- Unify factory data, define data mappings and quality rules, and partner with Data, AI, and Software teams to operationalize tools.
- Lead cross-functional analyses and improvement projects, including scenario analysis for pricing, capacity, staffing, and investment decisions.
What they ask for
- Bachelor’s or Master’s in Data Science, Statistics, CS, Operations Research, or related field (or equivalent experience).
- Demonstrated experience in operations analytics, analytics engineering, data science, or data-intensive manufacturing roles; hands-on manufacturing production data and shop-floor experience.
- Hands-on Python, SQL, statistical and supervised ML methods, and Git with documented, reproducible code.
- Ability to lawfully access information and technology subject to US export controls.
Nice to have
- Microsoft Fabric or equivalent lakehouse platforms (Databricks, Snowflake).
- MES/ERP data structures, equipment data flows, and time-series data.
Pay
$100,170 — $137,730 USD (base salary)
Tools
Python, pandas, NumPy, scikit-learn, statsmodels, matplotlib/Plotly, SQL, Git
AI focus
Applies statistical and machine-learning methods to production data for time and cost prediction, and integrates AI tools into daily workflow.
Model-written summary · the original posting is authoritative