Product Operations Engineer
Coder113,000 - 194,000 USD/year
- Full Time
- Junior (1 to 2 years)
Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Maritime, Energy, Logistics, Trade & CommoditiesIndustries
Requirements
Candidates must possess a Master’s degree in Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, or a related field, along with a solid understanding of operations research techniques such as optimisation (linear, integer, nonlinear), simulation, graph theory, and statistical analysis. Programming skills in Python, Java, or C++ are required, alongside experience with optimisation libraries like OR-Tools, PuLP, Gurobi, or CPLEX. Strong analytical and problem-solving skills, good written and verbal communication skills in English, and the ability to work independently and collaboratively are also essential.
Responsibilities
The Operations Research Engineer will develop and implement mathematical models (optimisation, simulation, statistical) to support business processes and decision-making, assist in the development of algorithms for logistics, scheduling, inventory management, and resource allocation problems, use software tools like Python, SQL, OR-Tools, and similar to build and test models, analyse results, identify trends, and prepare detailed reports and visualisations for stakeholders, and support the Senior OR Engineers in research, model validation, and implementation projects. They will also stay updated on the latest trends, methods, and technologies in operations research and analytics, and communicate technical findings clearly to non-technical stakeholders.
Skills
Mathematical modeling
Optimization
Simulation
Statistics
Python
SQL
OR-Tools
Algorithm development
Data analysis
Reporting and visualization
Research and validation
Kpler
Provides data and analytics for commodity markets
About Kpler
Kpler provides intelligence solutions for commodity markets, focusing on over 25 different commodities including oil, gas, LNG, and maritime freight. The company offers real-time data and analytics through various platforms such as a web-based terminal, API, SDK, and Excel add-in, allowing clients to easily integrate this information into their workflows. Kpler's clients, which include portfolio managers, investment firms, and brokers, use its data to make informed decisions regarding commodity flows, storage levels, and market trends. Unlike its competitors, Kpler emphasizes transparency and accuracy, providing detailed insights into complex markets, such as U.S. crude oil export flows and global storage inventories. The company's goal is to empower clients with expert insights and reliable data solutions to navigate volatile markets.
Key Metrics
Paris, FranceHeadquarters
2014Year Founded
$214MTotal Funding
GROWTH_EQUITY_VCCompany Stage
Data & Analytics, Financial ServicesIndustries
501-1,000Employees