Position: Data Scientist (GCP)
Company: riwers
Category: Data Science
Experience required: 5y
English level: fluent

You will work together with our partner, the largest Google premier partner in Europe and Google partner of the year. This are the highlights:

- Working with best experts in the area of Google Cloud Platform
- International enterprise customers
- Changing teams (5-10 team members) and projects (3-6 months) for greenfield projects but also migration projects
- Paid GCP certifications (paid by us, time spent by you)
- Fun, supportive and achievement-oriented culture
- Competitive salary and benefits package

The role is varied so you’ll get involved in a wide range of activities but here are the main customer-facing things we’ll need you to do:

- You will be working with clients to build Machine Learning-based models that help to deliver value for their organisations. Given that we’re passionate about ensuring we build models that are delivered into production, you’ll not only be prototyping, but with the help of data engineers and architects you’ll also be advising and assisting clients on deployment.
- Our clients come from many industries and are using ML to solve a variety of problems, so from project to project you will be making use of different approaches and methods from the Data Science playbook. What’s common across all of our projects is that we develop and deploy on Google Cloud.
- You are passionate about delivering value to customers and prized for going the extra mile. You’re flexible and creative in your approach and prepared to make a difference. You’re professional - fair, honest and committed. You’re happy to travel/work from client sites and excited to get involved in the ‘next big thing’ whatever that might be

Required skills that come naturally to you…
- Practical predictive analytics execution experience
- Highly proficient with two or more predictive analytics tools including Python, SQL, R, SAS, SPSS, MATLAB, Micro Strategy, Looker or open source tools
- Demonstrable professional experience in data mining, analysis and advanced modelling/machine learning techniques to solve business problems using large scale, complex data sets
- Highly proficient in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing (A/B testing), and optimisation algorithms • Highly proficient in at least one high level programming languages such (i.e. S, C++, Python, Julia, etc.)
- Able to explain complex analytical methodologies and concepts in a non-technical language
- Experience with NoSQL databases and tools (i.e. Hadoop, Hive Spark, etc.)
- Experience with GCP and Azure or AWS
- Experience of using data querying tools such as SQL and visualization tools such as Looker, Quicksight, Tableau, Qlikview, PowerBI etc.
Ideally consulting experience with evidence of significant client impact and value creation would be preferred
- Experience of working with machine learning frameworks such as tensorflow, scikit-learn and torch.
- Familiarity with Cloud ML tools and an understanding of principles of ML model productionization.
- Familiarity with version control (e.g. git) and with agile working practice

It would be great if you have (or are excited to gain)...
- Commercial or Academic experience with Computer Vision, NLP or reinforcement learning.
- Commercial experience of MLOPs .

Your Benefits
- Working together with the best expert in the area of GCP for enterprise customers in Europe
- Training/Education path: GCP certifications (up to 3 per year)
- Changing projects in a team of GCP experts. Project setup is 5-10 people for 3-6 months for dedicated customer projects.
- Traveling to customer max 2-3 per month, currently no travelling
- International company & projects with the ability to travel to customer locations (Switzerland, Germany, and so on)
- Small company, no hierarchy, startup-like environment & mindset, young and easy-going culture
- Clear focus on project quality and success while applying modern technologies
- Awesome team which is engaged with all projects and will support you wherever necessary
- An above-average salary and benefit package
- Growing as a group with team building, community/learning events or workshops
- And very importantly: A little party never killed nobody :)