Tasks
* You are designing and developing modelling concepts to derive hazard-impact-response relationships by use of data-driven approaches
* You are responsible to develop data-driven frameworks (vulnerability models) to describe the damage of energy assets according to chronic and acute environmental stressors (such as natural hazards)
* You are responsible to gather information on adaptation options of energy assets to underpin resilience against (changing) chronic and acute environmental stressors
* You are eager to collaborate with climate impact modellers and risk experts to push the tailoring of repath’s climate impact assessment framework to system characteristics (e.g. for the energy sector)
* You are an essential part of R&D and contributing to the development of data-driven approaches for automated climate impact assessment applications to foster climate resilience
* You bring in an essential additional skillset and are experienced to take advantage of rational decision making
* You are eager to develop scalable frameworks and transfer your knowledge to other sectors beyond energy
Requirements
* You have proven experience in vulnerability modelling and the conceptualisation of data-driven statistical models to describe damage
* Its a plus if you bring a holistic overview of energy systems
* You are passionate about data-driven approaches and are familiar with data array handling in Python (NumPy, pandas)
* You have the capability and confidence to work independent and take advantage of rational decision making
* You feel comfortable in agile software development environments
* You have a Master’s degree (or equivalent) in financial mathematics, statistics, or environmental engineering
* You possess 5+ years of experience in related roles preferably in remote Start-Up environments.
* You possess the experience and enjoy to work independently in a remote setting
* You have excellent problem-solving and communication skills and are able to take on responsibilities
* You are a multitasker & problem solver with a strong analytic mind and a hands-on builder mentality
* You are self-motivated with a strong sense of ownership, structured, a fast learner
* You are a mature, reflective individual that is thriving for professional and personal growth
Nice to have
* You have gathered practical experience about energy systems interfering with impactful weather
* You enjoy start-up growth phases with unpredictable environments and are comfortable with change
* You are honest and challenge us with your open feedback to constantly develop us further
* You are driven by the ClimateTech Industry; specifically, about climate risks and adaptation to climate change and want to make a positive impact on our planet
Benefits
* Become part of something bigger! Our big purpose is: We enable society to adapt to accelerating climate change. Now.
* Let’s talk about money: Depending on working experience and qualifications we are offering a salary range of 65 - 75k€ gross per year for 40 hours per week.
* Have and be a real part of repath – Every Team member receives ****VSOP’s of repath. We do this together, so we share the successes. Take part in our upside potential.
* Further Benefits? Yes - 500€ of HO Set-Up, yearly Bahncard 2 class & 1000€ development budget.
* Do what you love and are best at, while creating real-world impact within a collaborative, cross-functional, new work environment with flexible, self-responsible work(ing hours) co-creating with experienced climate scientists, engineers, and mature individuals.
* We are ever evolving and so are you. Making sure that we grow together and find everyone's perfect spot at the table is our goal and offer for your personal and professional development.
What is the greatest risk on earth?
According to the world economic forum, climate action failure and are the greatest risks.
Today, climate data is hard to access, complex, and fragmented leaving organizations in need of transparency on their climate resilience journey. Altogether with the upsurging need to meet increasing reporting regulations.