Senior Research Engineer

Founded in 2014, Deepki supports real estate players in their transition to net zero and sustainability. To achieve this transition towards sustainability, Deepki helps realign stakeholders’ interests to build efficient strategies and transform real estate into a positive force for the planet.

Deepki is the only company offering a fully populated ESG data intelligence platform combined with expert advisory services. The company’s end-to-end solutions leverage data to improve ESG performance and enhance the value of real estate assets.

Key figures:

• 400M+ of sqm monitored
• 65+ countries where we operate
• 216k+ teqCO₂ savings detected
• 500+ references across the world

Deepki’s moto: “We say what we do & we do what we say!”

What we’re looking for :

We are looking to grow our teams with talents that share our energy and motivation to accelerate the environmental transition at an international scale!

Our profiles are a mix of different backgrounds and experiences, all of whom work together in order to ensure the best possible user experience. To match Deepki’s mindset, it is important to be open and curious, with good listening skills. Joining Deepki means becoming a team player, and giving a purpose to your work by trying to save the world every day! ;)

Deepki: #ImpactForward

Within the R&D team, the Senior Research Engineer will :

• Maintain and help developing Deepki’s Dynamic Thermal Simulation tool. He will continuously improve its reliability in terms of coherence and robustness.

• Participate in the development / improvement of new features: for example, generation of optimized building refurbishment actions. Explore / propose optimization algorithms for this purpose.

• Use client or open data to better calibrate / validate / expand the perimeter of Deepki’s models

• Understand client’s / product teams’ use cases linked to energy modeling topics (such as estimation of energy consumption or savings, measurement and verification of building’s performance improvements…) and propose solutions.

• Participate in the development of internal APIs to expose the features developed by the R&D team

• Carry out various statistical tasks on databases (data integration, exploratory analyses, classification, modelling, dataviz, etc.)

• Carry out R&D projects in relation with external research laboratories

• Present results and tools to other teams

ESSENTIAL SKILLS AND COMPETENCES :

• Significant experience in scientific python programming :

  • Development of code featuring scientific calculations : Simulations based on physics / mathematics, regressions, Machine learning

  • Code deployed to production or deployed as Proof of Concept

  • Code within teams (use of git, merge requests, code review, documentation, unit tests…)

  • Object-oriented programming

• Capacity to understand, maintain, and develop scientific models (examples: simulations based on thermal modeling, regressions based on Bayesian inference)

• Scientific approach: Study and understand state-of-the-art / reference solutions, adapt and calibrate solutions to specific business-oriented problems, thoroughly validate the proposed solutions

NICE TO HAVE SKILLS :

• Communication and pedagogy

• Team spirit, happy to help and share knowledge

• Eager to learn

• Scientific rigor

WHY JOIN DEEPKI?

Deepki’s teams are dedicated to making an impact by harnessing data to transform the world’s most carbon-intensive industry into a force for good for the planet, and creating virtuous real estate. They embody our four core values: drive, commitment, righteousness and goodwill, which represent a fundamental element of life at Deepki.

Our employees are at the heart of everything we do, and we strive to provide a comfortable environment where they can flourish.

- Up to 3 days remotely

- Regular social events (2-day Onboarding with all Deepkies France and International, celebrations, seminars)

- In-house training

- Allianz health insurance

- 10€ luncheon voucher card per day worked (55% paid by the employer)

- International environment

- Dynamic and passionate ecosystem where everyone's initiatives have their place

- Large office with terrace in the heart of Paris (75011)

- Access to a language learning platform and to Gymlib