Haarlem, Netherlands
Full Time
7 days ago
Job description
Welcome to Planet. We believe in using space to help life on Earth.
Planet designs, builds, and operates the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset of empirical information via a revolutionary cloud-based platform to authoritative figures in commercial, environmental, and humanitarian sectors. We are both a space company and data company all rolled into one.
Customers and users across the globe use Planet's data to develop new technologies, drive revenue, power research, and solve our world’s toughest obstacles.
As we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from a variety of domains.
We have a people-centric approach toward culture and community and we strive to iterate in a way that puts our team members first and prepares our company for growth. Join Planet and be a part of our mission to change the way people see the world.
Planet is a global company with employees working remotely world wide and joining us from offices in San Francisco, Washington DC, Germany, Austria, Slovenia, and The Netherlands.
About the Role:
We are looking for a passionate data scientist to join our Data Science teams focusing on Agriculture, Water and Climate domains. Our mission is to provide high quality validated markers that enable us and our partners to extract insights from dense temporal stacks of satellite imagery. Our team works with multi-sensor earth observations data, developing workflows that extract insights from Planet’s unique constellation and public data sources. From data collected by satellites orbiting the Earth, our algorithms can tell when farmers have plowed or mowed their fields or meadows, the land cover of a particular area of interest, or what type of crop is being grown. We track and monitor large areas, and extract other valuable information in fields of agriculture, land management, real estate, climate changes and others. We work closely with selected customers to shorten the feedback look. You will contribute by developing reliable, scalable, and science-based methods using time series of satellite-based signals. As a member of this team, you will have the opportunity to work with an experienced team of scientists and engineers, experiment with deploying your models at scale, and iterate with feedback from clients and partners. Our team nurtures collaborative culture and is distributed remotely across the EU.
Impact You’ll Own:
- Develop algorithms and machine learning models to extract insights from satellite imagery time series and satellite imagery.
- Collaborate with the team to iteratively build solutions based on our platform and existing data building blocks.
- Inspire and enable our partners to extract insights using our platform.
- Implement models as efficient python code that can be deployed at scale.
- Document and organize your work to be transparent and repeatable.
- Write (internal) research reports, public blog posts and reports for clients.
What You Bring:
- Bachelor's degree or higher in computer science, data science or other STEM fields.
- Solid understanding of machine learning
- 2+ years of experience writing Python code
- Experience with version control and Git
- Problem-solving skills
- Proactiveness and self-initiative
- Ability to write maintainable and well-documented code
- Fluency in English (written and spoken)
What Makes You Stand Out:
- Experience with cloud environments
- Remote sensing expertise
Benefits While Working at Planet:
- Additional company winter holidays and regular global days off
- Remote friendly work environment and flexible working hours
- Contribution to our growth by offering equity options for employees
- Giving back to the community - one day per quarter for charitable work
- Tuition Reimbursement and access to LinkedIn Learning
- Regular hack-weeks and meetup events to exchange knowledge
- Home office budget
- Employee Resource Groups providing empowering spaces for connection and mentorship
Why we care so much about Belonging.
We’re dedicated to helping the whole Planet, and to do that we must strive to represent all of it within each of our offices and on all of our teams. That’s why Planet is guided by an ultimate north star of Belonging, dreaming big as we approach our ongoing work with diversity, equity and inclusion. If this job intrigues you, but you’re thinking you might not have all the qualifications, please... do apply! At Planet, we are looking for well-rounded people from around the world who can contribute to more ways than just what is listed in this job description. We don’t just fill positions, we aspire to fulfill people’s careers, most excited about folks who are motivated by our underlying humanitarian efforts. We are a few orbits around the sun before we get to where we want to be, so we hope you’re excited to come along for the ride.
EEO statement:
Planet is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. Planet is an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. Know Your Rights.
Accommodations:
Planet is an inclusive community and we know that everyone has their own needs. If you have a disability or special need that requires accommodation during the hiring process, please reach out to accommodations@planet.com or contact your recruiter with your request. Your message will be confidential and we will be happy to assist you.
Privacy Policy: By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the Planet Data Privacy Notice for California Staff Members and Applicants, and hereby consent to the collection, processing, use, and storage of my personal information as described therein.
Privacy Policy (European Applicants): By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the Candidate Privacy Notice GDPR Planet Labs Europe, and hereby consent to the collection, processing, use, and storage of my personal information as described therein.
Job Expired