Annotell started in 2018, with the mission to make safe perception for autonomous mobility possible. We help to enable autonomous vehicles by providing a comprehensive solution to data for the development and validation of its perception system. Our customers trust Annotell to guide them, and we are looking to expand our team to accelerate that exciting journey!
Our Advisory Services team guides our customers to build safer and better products. The team combines AD/ ADAS perception expertise with data-driven research and analysis to stay one step ahead of our customers. As a Data Scientist in this team, you apply methods to statistically argue that a perception system is safe. Our goal is to help our clients understand their data better and guide them on their way to success with an intuitive and comprehensive representation of the quality and content of annotations.
We focus on challenges in structuring, quantifying, and measuring data from computer vision and AI problems. We address questions such as, how to best represent the quality of our annotation delivery? How can we identify and measure the effect of ambiguity in the data? How can we optimize annotation time and workflows of annotations with experiment setups? How can we model annotation time, content, and quality relationships?
As a Data Scientist, you also work with other teams in the company to enable them to make data-driven decisions and aim to collaboratively drive forward evaluation and analysis of the underlying use cases and hypotheses for key features and functionality in our product offering. You will have the opportunity to bring together domain expertise, analytical skills, and decision support to make our platform the best to enable Safe Perception.
Who you are
You have the right mindset and passion – that is what we value the most. Besides that, we believe you have the following personality traits and hard skills
Great communication, organization, and team working skills.
Genuine curiosity and passion supported with taking initiatives to drive ideas forward.
You have a degree linked to software/computer science, physics, statistics, or mathematics.
Hands-on experience querying and manipulating data, drawing insights, and creating visualizations.
Fluent in Python and SQL. Additional analytics tools experience is welcome.
A proficiency in statistics and the competence to perform advanced analytics (such as regression modelling, A/B testing, significance testing, etc.)
A good understanding of how to build datasets to assist stakeholders in making data-driven decisions.
Experience with designing and developing concepts and prototypes.
Ability to convert complex use-cases into communicable stories, with data and visualizations, that provide actionable insights to stakeholders.
Experience with computer vision or/and AD/ADAS perception systems.
A deep understanding of both classical and modern machine learning algorithms
If you do not have them already but you have similar engineering skills and good learning skills, please do not hesitate to reach out to us!
What is in it for you?
Other than working with extremely talented and humble people in a fun and creative environment we also have a lot of other great benefits!
- Strong values and purpose-driven company
- Workplace flexibility and Work-life balance
- Competitive salaries
- Exciting career opportunities in a dynamic and fast scaling startup!
- Parental pay, salary exchange, maximum health benefit, order your own workstation, place your own pension - to name a few.
We are operating in a global market and are looking for talents around the world. At this point, we are primarily interested in talents for the team in:
Gothenburg, Sweden (HQ)