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 with Product and R&D engineers with
extensive academic and industry experience to develop energy science and
physical system based projects – in other words, “real life” Big Data.
As a
member of a scaling 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 big energy problems.
Data Scientist | Your Role & Responsibilities:
Your work will be the foundation for new algorithms used to help solve big energy problems.
Role and responsibilities:
Mining industrial-sized data sets in various states of cleanliness for insights
Creating, refining, and verifying statistical and machine learning algorithms
Defining together with Product and R&D engineers new data-driven capabilities to deliver value to our customers
Data Scientist | Your Skills:
The ideal candidate has 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 change the world!
Degree in Computer Science, Statistics, or Mathematics
Strong statistics and operations research background
with teachable knowledge of various analytic methodologies including
data mining, model selection & verification, optimization, machine
learning, clustering, etc.
Expert level knowledge of statistical tools (e.g., R, MatLab, etc.) and prototyping languages (e.g., Python, Java, C++, etc.)
Additional desired attributes include:
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
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
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