Senior Optimization Engineer - (Python / Mathematical Programming)

About Synct

Synct assists businesses in building global teams by providing people strategy, recruitment services, and HR solutions.

We help international companies scale sustainably, while offering Filipino professionals stable, long-term, permanent work-from-home careers.

We support clients across Australia, New Zealand, North America, and the United Kingdom.

About the Role

We are hiring a Senior Optimization Engineer to support an international client operating in the energy systems and quantitative modeling space.

This is a full-time, permanent work-from-home position focused on:

Designing and implementing mathematical optimization models

Building solver-based optimization pipelines using Python

Delivering simulation models that evaluate energy dispatch strategies and revenue scenarios

You will collaborate with international engineers and quantitative specialists to improve the performance, scalability, and reliability of optimization systems.

What You’ll Be Doing

Design and implement optimization models (Linear Programming / Mixed Integer Programming) using Python

Build solver-based systems using frameworks such as Pyomo, PuLP, OR-Tools, Gurobi, CPLEX, or HiGHS

Work with high-frequency time-series datasets to simulate operational strategies

Translate operational constraints into mathematical optimization models

Build simulation pipelines and perform scenario analysis across market conditions

Optimize model performance for large-scale numerical computation

Collaborate with international engineering teams to integrate optimization models into production systems

Identify opportunities to improve modeling efficiency and automation

What We’re Looking For

Experience as an Optimization Engineer, Operations Research Engineer, Quantitative Developer, or Applied Mathematics Engineer

Strong working knowledge of Python for numerical and optimization modeling

Hands on experience implementing mathematical optimization models (LP / MILP)

Experience using optimization frameworks such as:

Pyomo

PuLP

OR-Tools

Gurobi

CPLEX

HiGHS

Strong understanding of mathematical programming and numerical optimization

Experience working with time-series datasets

Ability to work independently in a permanent work-from-home setup

Willingness to work with international team time zone overlap

Nice to Have

Experience with energy markets or electricity market modeling

Experience working with energy storage or battery dispatch modeling

Exposure to stochastic optimization or Monte Carlo simulation

Background in Operations Research, Applied Mathematics, or Energy Systems Engineering

Why You’ll Love Working with Us

Permanent Work-From-Home – no office visits

13th-Month Pay

Company-Provided Equipment

HMO with Dental & Life Insurance

18 Vacation Leaves + 6 Sick Leaves

Birthday Leave

Tenure Incentives & Quarterly Perks

Free Meal Every 1st Friday of the Month

Work Details

Location: Work-From-Home (Philippines)

Employment Type: Full-time, Permanent

Start Date: ASAP #J-18808-Ljbffr