Addressing some of
humanity’s most pressing challenges, such as providing food or
distributing energy for nine billion people without depleting resources,
requires real-time planet-scale data and some very smart algorithms
deciding from this data. Do you want to get your hands in these huge
amounts of information? Do you want to discover and understand stuff
about our planet that nobody has seen before? Do you want to help design
and implement the intelligence that will enable this understanding? Do
you want to send this intelligence to space??? If these questions give
you an irresistible urge to learn more about the team already doing
this, you might want to continue reading.
About the company
- Founded in
2011, Satellogic builds and operates a fleet of small satellites to
produce affordable commercial-grade Earth data for daily decision making
in a range of industries. The goal is to leverage this unique dataset
to enable real-time understanding of the planet.
- In 2017,
with the first satellites of our constellation already up and running,
Satellogic decided to also place the focus on value creation. The Data
Science and Solutions (DSS) team was formed to build the company’s data
science platform and develop our data-centric solution portfolio.
- We will
initially focus on the challenges faced by the Agriculture, Energy,
Financial and Government sectors. Satellogic also has a commitment to
science and social impact where we work closely with research partners
in academy and institutions developing longer term solutions and
insights.
- Some of
our team members have already built leading data science platforms that
have disrupted major industries. We are world-recognized experts in
machine learning, computer vision, parallel data architectures, service
design, etc.
- The DSS
team will be based in Barcelona but will work closely with the other
teams in South America, Israel and the US as well as with the broader
development and research communities.
About the job
We have tons of data and way more
challenges than solutions. Farmers want to increase their production in a
sustainable way, energy companies have valuable remote assets that
require constant monitoring, governments need to increase their
efficiency and transparency, companies require a growing amount of
global intelligence to inform their decisions, the world needs first
hand knowledge of the social and economic impact of a changing
environment in order to act accordingly, etc.
Transforming our data into
information that supports and automates all these decisions requires the
development of large-scale data environments, building models and
developing algorithms that learn from geolocated visual data.
The DSS team is responsible for the
development of both the customer solutions and the data platform that
supports the development and delivery of these solutions. To do this,
the team needs to combine quick understanding and prototyping when new
opportunities arise with a platform approach that prioritizes the
replicability, scalability and automation of our data & intelligence
pipeline.
Our team is expected to be up to date
on the most recent technical breakthroughs in our field of work and,
for those with a knack for research, we encourage continued
collaboration with the research community. Many of the challenges and
constraints we face are not only new to us but also new to the world and
our team is expected to have the drive and tools to face those
challenges head on.
We mainly hire in three distinct
roles, data scientist, data developer and data solutions designer, but
we expect that the individual responsibilities arise from the
intersection of our needs as described above and your skills &
motivation.
About you
Above all, you are interested in a
range of world issues, are eager to learn and cannot resist trying to
solve a challenging problem. You are used to formulating hypotheses,
setting up experiments and iterating on results. You understand the
balance between scientific perfection and real-world requirements.
You will have had proven development
experience and see coding as a key means to validate your ideas. You
either love programming and speak statistics or you love stats and code
decently. Neither one is not an option. You have dealt with or even
implemented large-scale databases on distributed environments. You are
aware, from your own experience, of the opportunities and limitations of
machine learning and can design experiments accordingly. You might have
even taught computers how to understand images and are aware of the
main challenges they pose.
You might like working alone or enjoy
teamwork but regardless of your personal working dynamics we need that
all other team members are enriched by your presence and learn from your
experience.
You are clear and engaging in your
internal and external communications and have excellent english skills.
You can easily put yourself in the place of the customer.
As a Data Developer we expect that some of these skills are developed more in depth. Mainly, extensive
experience with large-scale databases, scalable storage and processing,
data preparation, quality and multiple data source integration.
Comfortable with a diverse technology ecosystems and agile development.
API development, possibly in real-time highly constrained environments.
GPU programming is a strong plus.