Optimization Engineer
Stockholm, Sweden
Flower
We enable the energy system of tomorrow by combining pioneering technology with flexible assets, allowing clean energy to power society⚡️ What We Do
Swiftly gaining ground as Sweden’s industry leader in battery storage and expanding rapidly in selected European markets, Flower is on a mission to enable the energy system of tomorrow.
With an industry-leading AI-powered platform at its core, our service includes stabilizing the energy system by enhancing predictability and flexibility for both energy producers and consumers. By combining pioneering technology with a portfolio of flexible energy assets, we break new ground towards a fossil-free energy system, allowing clean energy to power society.
🌟Who We Are
Tech company at heart – purpose in our DNA. Flower consists of a diverse group of innovative individuals with a strong desire to improve the state of the world.
At Flower, we believe trust, collaboration and diversity are essential to not only create an inclusive work environment, but also drive career growth. By embracing varying perspectives, we allow creativity and progress to flourish.
To accelerate towards our goal of becoming the pioneering force powering the energy system of tomorrow, we are now looking for a passionate and skilled Optimization Engineer.
👩💻 About The Role:
As a Optimization Engineer, you will be responsible for solving advanced optimization problems to address the complex market allocation of different asset portfolios within the energy markets. You will be mainly responsible for the development of those models, and work on their implementation and improvement together with the team. You will be part of our Trading domain, and will work closely with other data scientists, engineers, analysts and developers, being at the core of our operations.
What you’ll do
- Develop, implement, and improve advanced mathematical models for solving the allocation of our assets’ portfolio.
- Collaborate with stakeholders to understand business objectives and translate them into technical optimization solutions.
- Design and implement scalable optimization algorithms, including linear programming, mixed-integer programming, and heuristic methods.
- Utilize machine learning and statistical techniques to enhance optimization solutions where applicable.
- Work with large-scale datasets and deploy optimization models in production environments.
- Stay up to date with the latest advancements in optimization techniques and technologies.
Who you are
- 3+ years of experience working with optimization techniques such as linear programming, integer programming, portfolio optimization, or stochastic optimization, with especial focus on the latter.
- Solid experience in mathematical modeling of optimization problems.
- Proficiency in programming languages such as Python, R, C++, or Julia, with focus on Python. Hands-on experience using libraries like Pyomo or SciPy, and optimization solvers like Gurobi or HiGHS.
- Excellent problem-solving skills and the ability to work independently or within a team.
- Strong communication skills, with the ability to convey technical concepts to non-technical stakeholders.
📍 Location
Our beautiful office is located in the heart of Södermalm just a short walk from Slussen subway station. We encourage in-office collaboration but support a hybrid work model.
✉️ Apply
Our corporate language is English, as we have over 20 nationalities in the office. We therefore appreciate it if you could submit your CV in English.
Throughout the recruitment process you will meet with the People & Talent Partner, Head of Trading Strategy & Modeling, and our CEO.
We look forward to hearing from you!
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We kindly but firmly decline any engagement in recruitment assistance for our hiring processes. This includes partnership offers or the sale of recruitment tools.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Julia Machine Learning Python R SciPy Statistics
Perks/benefits: Career development Flex hours
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