About Solution Seeker
Solution Seeker is a scaleup that builds software and AI for industrial production optimization, turning data into value and insight for our users. Our software streams live sensor data from production facilities all over the world, which is processed using patented algorithms for identifying stable periods and selecting the most valuable data points for our machine learning models.
On top of this, we build applications that help customers visualize and contextualize their data with our predictions and analyses, enabling them to make decisions for optimizing production. In addition to working with clients, we dedicate a significant portion of our time and resources to machine learning research and active topics, including generative and probabilistic modeling, hybrid modeling (combining physics and ML), data-driven production optimization, and closed-loop identification.
Job description
As a Data Scientist you will be digging into and working with our data, being involved with the most important challenges we face technically and strategically. Your tasks may include some of the following: analyzing large amounts of production data and solving real challenges for clients, further develop and optimize our machine learning models, design and develop applications based on customer needs, prepare and hold insightful presentations internally and externally, and/or getting involved in strategic considerations like go-to-market-plan, positioning and delivery model. As Data Scientist you have an unique opportunity to combine technical and business skills in a growing scale-up, or a great stepping-stone to figure out if you want to develop in a more technical, business-oriented or managerial role.
About you
In addition to being technically skilled, we are looking for someone who is curious at heart and never backs down from a challenge. You are generous and accountable, always seeking opportunities to include others rather than exclude them. Your playful nature and desire to contribute to the environment make you a valuable team member, understanding that happy programmers lead to happy customers. You thrive in a young and fast-paced environment, where your passion for continuous learning and innovation drives your success. Join us and be part of a team that embraces curiosity, warmth, playfulness, and punchiness as we work together to create groundbreaking solutions and maintain our position as world-leading experts in our field.
What we offer
At Solution Seeker we value well-being highly - both socially and professionally. You will contribute to shaping your own workday, with the possibility of being part of multiple teams at the same time or hand-picking certain tasks you find interesting. As a company with young and outgoing employees, we enjoy small and big social activities like lunch runs, after-work beers, company trips and the annual “bring your friends party”.
We offer flexible work hours and the opportunity to work remotely. Still, most of us prefer our spacious offices in downtown Oslo, and the daily delightful lunch conversations. If you want even more spice in your day-to-day life, it is possible to spend one or more of the cold winter months at our offices (and the beaches) in Rio de Janeiro.
If you think you are a good fit for the position, we look forward to receiving your application!
You should have at least some of these qualifications
Experience from working on data, delivery or management of technology oriented projects, or in start-ups/scale-ups is an advantage, but not a requirement.
Bonus skills
Our tech stack is large and we do not expect you to know all of it, but any familiarity would be greatly appreciated skills:
Ordinary start time for this position is August 2025, but an earlier starting date can be organized if preferred.
Solution Seeker is a scaleup that builds software and AI for industrial production optimization, turning data into value and insight for our users. Our software streams live sensor data from production facilities all over the world, which is processed using patented algorithms for identifying stable periods and selecting the most valuable data points for our machine learning models.
On top of this, we build applications that help customers visualize and contextualize their data with our predictions and analyses, enabling them to make decisions for optimizing production. In addition to working with clients, we dedicate a significant portion of our time and resources to machine learning research and active topics, including generative and probabilistic modeling, hybrid modeling (combining physics and ML), data-driven production optimization, and closed-loop identification.