Website
UltraSoc

UltraSoC is a pioneering developer of analytics and monitoring technology at the heart of the systems-on-chip (SoCs) that power today’s electronic products. Our embedded analytics technology allows product designers to add advanced cybersecurity, functional safety and performance tuning features; and it helps resolve critical issues such as increasing system complexity and ever- decreasing time-to-market.

We are a young, growth-stage company, proud of our technology and selling globally to many of the most respected and most exciting technology companies on the planet. With rapid growth plans, we’re now looking for skilled Data Scientists who want to work in a fast-growing dynamic start-up.

In a friendly supportive environment, you will have as much responsibility as you can handle, with a lot of scope to make your mark and propose new ideas. Things will be fast-moving, with new projects and new ideas on a constant basis: this will be exciting– and often demanding. We expect our people to be flexible and to “go the extra mile” in meeting and exceeding our customers’ expectations.

In return, you’ll have plenty of autonomy, share a desire to get things done and a willingness to work to make both us and our customers succeed. As part of that we offer flexible working hours, a work from home policy and flexibility on holidays. That includes family-friendly support like adjusting your working hours to suit school hours.

UltraSoC is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race, colour, sex, age, national origin, religion, sexual orientation, gender identity, disability or any other protected class.

Location for this role: Poland

Skills & requirements
Education or/and background in technology (electronics, telecoms, manufacturing) with enough time in the data science world, but not forgetting the technology world: what we need and why
Comfortable with statistical learning methods and algorithms
Familiar with feature engineering and data storage
Visualisation experience
Specific application areas
Experience with using Python and relevant libraries (Pandas, NumPy, scikit-learn, diagramming packages to name a few)

If you are interested in applying for the above vacancy, please send your CV to [email protected] We look forward to hearing from you.