(Senior) Climate Impact Modeller (m/w/d) - remote
(Senior) Climate Impact Modeller (m/w/d) - remote

(Senior) Climate Impact Modeller (m/w/d) - remote

Hamburg Vollzeit 70000 - 85000 € / Jahr (geschätzt) Kein Home Office möglich
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Auf einen Blick

  • Aufgaben: Join us in driving data-driven climate impact assessments and collaborate with experts to tailor our framework.
  • Arbeitgeber: Repath is dedicated to enabling society to adapt to accelerating climate change through innovative solutions.
  • Mitarbeitervorteile: Enjoy a competitive salary, flexible work hours, and a yearly development budget of 1000€.
  • Warum dieser Job: Make a real-world impact while working in a collaborative, innovative environment with experienced professionals.
  • Gewünschte Qualifikationen: Master’s degree in relevant fields and 5+ years of experience in climate impact or system modeling required.
  • Andere Informationen: Remote work opportunity with a focus on personal and professional growth in a dynamic start-up culture.

Das voraussichtliche Gehalt liegt zwischen 70000 - 85000 € pro Jahr.

Tasks You are pushing data-driven approaches for the purpose of localised climate impact assessments You are pushing data-driven approaches and techniques to downscale weather and climate information towards local scales You connect geospatial with weather and climate data to describe climate impact at a systems’ level You are eager to collaborate with climate modellers and vulnerability 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 engage in (strategic) team leadership You are responsible for developing data-driven and automated climate impact assessment applications including climate downscaling procedures You have the possibility to actively contribute to and push repath\’s python software package development for automated climate impact assessment You engage in geospatial data driven analytics and AI to foster climate resilience You bring in an essential additional skillset and are experienced to take advantage of rational decision making Requirements You are a passionate climate impact modeller You have profound experience with impact modelling and/or system modelling frameworks You have proven experience in data-driven approaches and downscaling techniques with weather and/or climate model data (e.g. statistical downscaling approaches, AI emulators) You are knowledgable about state-of-the-art downscaling techniques and their strengths and weaknesses You have a holistic overview about geodata and proven experience in their application Its a plus if you bring a holistic overview of energy systems You are a Python expert and passionate about large data array handling (numpy, xarray, dask, 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 climate or earth sciences, meteorology, geoscience, geophysics, hydrology, geography or related disciplines as well as strong data-driven analytical and programming skills You are passionate about team leadership and motivated to engage in steering a self-organised team environment 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 Track record in industry and/or science Gained insights of the energy sector from previous practical experience 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 70-85k € 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.

(Senior) Climate Impact Modeller (m/w/d) - remote Arbeitgeber: repath GmbH

Repath is an exceptional employer for the (Senior) Climate Impact Modeller role, offering a unique opportunity to contribute to meaningful climate resilience initiatives in a fully remote setting. With a strong focus on collaboration and personal growth, employees benefit from a supportive work culture that encourages innovation and flexibility, alongside competitive compensation and professional development budgets. Join us to be part of a passionate team dedicated to making a positive impact on our planet while enjoying the advantages of a start-up environment.
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Kontaktperson:

repath GmbH HR Team

StudySmarter Bewerbungstipps 🤫

So bekommst du den Job: (Senior) Climate Impact Modeller (m/w/d) - remote

✨Tip Number 1

Familiarize yourself with the latest downscaling techniques and their applications in climate impact modeling. This knowledge will not only help you stand out but also demonstrate your commitment to staying updated in this rapidly evolving field.

✨Tip Number 2

Engage with online communities or forums focused on climate science and data-driven approaches. Networking with professionals in these spaces can provide valuable insights and potentially lead to referrals for positions like the one at StudySmarter.

✨Tip Number 3

Showcase your experience with Python and large data array handling by contributing to open-source projects or sharing your work on platforms like GitHub. This practical demonstration of your skills can make a strong impression on our hiring team.

✨Tip Number 4

Prepare to discuss your previous experiences in remote work settings during the interview. Highlight how you've successfully managed tasks independently and contributed to team goals, as this aligns with our company culture at StudySmarter.

Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: (Senior) Climate Impact Modeller (m/w/d) - remote

Data-Driven Approaches
Climate Impact Modelling
Statistical Downscaling Techniques
AI Emulators
Geospatial Data Analysis
Python Programming
Numpy
Xarray
Dask
Pandas
Agile Software Development
Team Leadership
Problem-Solving Skills
Communication Skills
Analytical Skills
Independent Work Capability
Holistic Overview of Energy Systems
Rational Decision Making
Adaptability to Change
Self-Motivation
Structured Thinking

Tipps für deine Bewerbung 🫡

Highlight Relevant Experience: Make sure to emphasize your experience with impact modelling and data-driven approaches. Mention specific projects or techniques you've used, especially those related to climate downscaling and geospatial data.

Showcase Technical Skills: Clearly outline your proficiency in Python and any relevant libraries (like numpy, xarray, dask, pandas). Provide examples of how you've applied these skills in previous roles, particularly in handling large data arrays.

Demonstrate Team Leadership: Since the role involves team leadership, share instances where you've successfully led a team or contributed to a collaborative project. Highlight your ability to work independently while also fostering a self-organized team environment.

Express Passion for ClimateTech: Convey your enthusiasm for the ClimateTech industry and your commitment to addressing climate risks and adaptation. Share any personal motivations or experiences that drive your passion for making a positive impact on the planet.

Wie du dich auf ein Vorstellungsgespräch bei repath GmbH vorbereitest

✨Show Your Passion for Climate Impact Modelling

Make sure to express your enthusiasm for climate impact modelling during the interview. Share specific examples of projects you've worked on that demonstrate your commitment to addressing climate change and how your work has made a positive impact.

✨Highlight Your Technical Skills

Be prepared to discuss your experience with data-driven approaches, downscaling techniques, and Python programming. Provide concrete examples of how you've utilized tools like numpy, xarray, and pandas in your previous roles to handle large data arrays effectively.

✨Demonstrate Collaborative Spirit

Since collaboration is key in this role, share instances where you've successfully worked with cross-functional teams, especially with climate modellers and vulnerability experts. Highlight your ability to engage in strategic team leadership and foster a self-organized team environment.

✨Prepare for Problem-Solving Scenarios

Expect to face problem-solving questions during the interview. Prepare by thinking of challenges you've encountered in your previous roles and how you approached them. Emphasize your analytical mindset and hands-on builder mentality when discussing these scenarios.

(Senior) Climate Impact Modeller (m/w/d) - remote
repath GmbH
R
  • (Senior) Climate Impact Modeller (m/w/d) - remote

    Hamburg
    Vollzeit
    70000 - 85000 € / Jahr (geschätzt)

    Bewerbungsfrist: 2027-02-22

  • R

    repath GmbH

    50 - 100
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