Data Scientist (f/m/d)
Berlin, Berlin, Germany
Applications have closed
CareerFoundry
Launch a career for the AI future with CareerFoundry. Everything you need to go from complete beginner to job-ready tech professional in as little as 5 months.We are looking for a talented data scientist to help us better understand our students to help them change their careers. You’ll push the product and the business forward, focusing on solving fundamental problems in the educational field.
CareerFoundry is building the most human-centric online education experience for career changers in tech. We are a startup with nationalities from over 30 countries who value learning, growing, and working in an integrative, collaborative, and transparent environment.
This is a full-time position based in Berlin, Germany. We are a remote-first company but will still have regular in-person meetings when the health situation allows. Being based in Germany (but not Berlin) is still required by labour law.
What you’ll work on:
- Drive more data-backed decisions and advocate for a data-driven culture at CareerFoundry
- Develop and improve ML/AI projects to solve complex problems in the educational area in collaboration with other Data Scientists and Data Engineers
- Partner closely with product and education teams to influence product and curriculum decisions with data-information
- Build actionable KPIs, produce research, and scalable data products
- Apply specialised skills and fundamental data science methods to improve services focused on education
- Define and advocate best practices within data science and product teams
Your background:
- Experience with software engineering fundamentals
- Solid understanding of data processing using advanced SQL techniques / other
- Experience with applied statistics, quantitative and qualitative modelling and their applications in business
- Competence building modern machine learning models using Python or Scala
- Experience integrating models into data pipelines and decision-making infrastructures using GCP or other
- Excellent ability to interact with cross-functional teams
Why CareerFoundry?
- Work on a product that has a real positive effect on the world by helping thousands of people change their lives through education
- A lot of autonomy and freedom in making decisions and leading initiatives
- A supportive, open-minded and friendly team environment, with regular team events
- Development reviews every 6 months and regular professional development check-ins
Our Benefits:
- Competitive salary, equity shares and opportunities to grow your skills on the job
- We’re remote first and offer 30-day/year holidays and up to 6 months of work from abroad every year
- A generous yearly education budget for each employee to learn new skills
- An optional company retirement insurance plan
- Free access to the CareerFoundry courses
- Dog-friendly office and as much coffee (or tea!) as you need
- A fully covered Urban Sports Club Membership
- Mental wellbeing support via Nilo Health
- The option to take a period of paid or unpaid leave as a part of our Sabbatical policy
We benchmarked a salary range of €58K - €61K for this role, according to our Career Framework. We're happy to explain that in more detail during the intro call. If our advertised salary doesn't match your current expectations, just let us know and we're open to discussing it further.
**As we approach the end of the year, we may be slower to respond to your application. Please note that interviewing for this role will commence in January 2023.
CareerFoundry is an equitable opportunity employer. We believe that having in-house employees and instructors from a diverse range of backgrounds enhances our ability to meet our mission of making career change accessible for all. All applicants will be considered for employment regardless of background. We strongly encourage applications from all qualified persons, in particular people of color, refugees, women, non-binary folks, members of the LGBTQIA+ community, people with disabilities, and other members of historically underrepresented and marginalized groups
Last updated 30th November, 2022
Tags: Data pipelines Engineering GCP KPIs Machine Learning ML models Pipelines Python Research Scala SQL Statistics
Perks/benefits: Career development Competitive pay Equity Fitness / gym Flex vacation Health care Paid sabbatical Pet friendly Startup environment Team events
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