data science lead.

The field of data science is fast-paced and ever-changing. Consequently, our daily work often involves researching and evaluating new tools and methodologies to strive for improvement in how we might work better with data. We think you approach data science with the same curiosity and thrive in being part of this rapidly changing landscape.
As a Data Science Lead, you have recent experience and extensive knowledge of ingesting, storing and processing large datasets utilizing a public Cloud provider. We imagine you currently work alongside developers and data scientists in cross-functional teams where you contribute with your expertise on building, maintaining and automating data pipelines. You ensure, together with data scientists, ML or analytics models are put into production so that they quickly and continuously provide value to the business.
Skills and requirements.
The following are a guide and we’d still love to hear from candidates with more, less, or different experience, provided the requisite skills can be demonstrated. However, it is a requirement that you have a valid Swedish work permit and are able to work in Stockholm.
Experience of at least 5+ years as a data scientist, performance optimization, and DataOps/MLOps preferably in the tech industry.
Strong mathematics skills (e.g., statistics, linear algebra)
Excellent skills in writing testable and maintainable python code.
Top-notch communication skills, ability to clearly formulate and articulate the problem at hand in a simple, actionable way (especially to stakeholders that are non scientists).
Experience with performance tuning and optimization with respect to latency and throughput
Hands-on experience with common data science toolkits and machine learning models like linear/logistic regression, k-means clustering and neural networks
Experience deploying and maintaining working models in production environments.
Able to visualize data in the most effective way possible for any given project
Experience with writing web APIs
Familiarity with data structures

We would love if you also have:
MSc or PhD in data science, physics, statistics, computer science or a related quantitative field.
Experience with big data technologies such as Apache Hadoop and Spark and Kafka.
Familiarity with Docker
Experience with IOT data processing and predictions
Knowledge of other programming languages such as Go, R, and Scala
Experience with SQL
Experience with infrastructure and devops in AWS, GCP, or Azure
Exceptional technical writing skills

As a Jaywayer in Stockholm you get:
Awesome and skilled colleagues - our Studio currently comprises 25+ Jaywayers.
A human-centric, value-based culture
Best-in-class (we can prove it!) competence development.
10 competence days per year incl. an annual trip with your studio.
Challenging and rewarding assignments; many of them end-to-end
Health service, access to massage, naprapath, etc.
Wellness grants for sports activities
Many social events during the year. Jaywayers are creative and come up with all sorts of fun activities. And why not bring your own fav activities.
Opportunity to work abroad.

A fair chance
Jayway is open to applications from all sections of society. We believe diverse teams help us make better products. We welcome all people regardless of age, gender, experience and background. If you can see yourself in this role and feel you can bring value and a unique perspective to Jayway, we hope you will send us your application - even if you do not necessarily meet all the above requirements.
Recruitment Process
We invite all suitable candidates in for interviews to learn more about you and introduce ourselves. If our culture and expectations align then we invite you to a technical interview. After this is a final interview with the studio/lead we feel is best suited to help you thrive at Jayway.
Want to join our team?
Send us a motivation letter including why you think you are the right person for this job, along with your CV /portfolio. Apply through the button below.
About us.
We have a unique company culture that builds on individual empowerment and contribution, knowledge sharing, continuous improvement and learning. We invest time in skills development and inspiration for our employees.