At DEXMA, we’re applying cutting edge technologies to one of the world’s greatest challenges: efficient energy management.
Our customers give us billions of energy usage data measurements, which
we analyze and aggregate. With our platform we help companies reduce
energy consumption, be more efficient, and generate savings.
As a Data Scientist
at DEXMA, you will work together with the Product team and R&D
engineers with extensive academic and industry experience in building
energy science and physical system based “real life” big-data.
As a
member of an innovative startup on a rapid growth path, the ideal
candidate must be able to juggle multiple responsibilities, be
comfortable in developing cutting-edge statistical and machine learning
algorithms as well as have the ability to switch contexts rapidly
between research literature searches, rapid algorithmic prototyping, as
well as assisting in code testing and deployment.
Your work will be the foundation for new algorithms used to help solve the world energy problem.
Data Scientist | Your Role & Responsibilities:
Mining industrial-size data sets in various states of cleanliness for insights
Creating, refining, and verifying statistical and machine learning algorithms
Define together with the product owner new data-driven capabilities we could deliver to our customers.
Data Scientist: skills needed
The ideal candidate will possess a minimum of 2 years of relevant experience.We’re
innovating continuously on all levels and we will be looking for you to
do the same, as we are on a mission to fundamentally change the world!
Additional desired attributes include:
Degree in Computer Science, Engineering, Statistics, or equivalent fields
Strong mathematical background
with teachable knowledge of various analytic methodologies such as
signal processing, model selection, model verification, optimization,
artificial neural networks, Bayesian, etc.
Proficient in large-scale database queries,
with associated statistical analyses including the the following areas:
non-linear and multi-variate regressions, logistic regression, time
series analyses, and probabilistic and classification models.
Expert level knowledge of statistical tools (e.g., R, MatLab, etc.) and prototyping languages (e.g., Python, Java, C++, etc.)
Extensive hands-on experience with real-world commercial data analytics and visualization
Comfortable
with working in a fast-paced multidisciplinary environment while
maintaining strict customer data privacy requirements
Proactivity and passion. This is your hobby, and we will pay you for it
Our Offer Includes:
Permanent full-time contract
Exceptional work environment, young and dynamic.
Team-building activities: Calçotades, pool bbq party, paintballs…
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