Data Scientist
Il y a 6 mois
**About Airties**:
At Airties we are on a mission to empower broadband operators to deliver a better-connected home experience for their subscribers. We have an exciting story to tell, and we want you to help us tell it
Airties offers broadband operators advanced Wi-Fi solutions and services to allow them bring an improved user experience for their subscribers. The Airties portfolio includes Smart Wi-Fi software, a cloud-based experience management platform with its companion app and data engine. Our company also offers expert, bespoke engineering and testing services.
Globally, Airties is the most widely deployed provider of Smart Wi-Fi solutions to network service providers and our technologies are driving a better-connected user experience in more than 35 million homes.
**Your role and impact**
Are you an analytical mind who’s first reflex for any problem is to get the answers from the data?
Do you regularly handle machine learning algorithms, turning them solutions for real-world pains?
Is the full lifecycle of data solutions familiar to you? From the first proof of concept to deploying v2.0 into production and monitoring its value?
Do you speak both business and stats, translating seemlessly from one to the other and back?
**What you will do**:
- Create, evolute and manage of data-driven solutions, including ML pipelines
- Support product managers and R&D to define the right KPIs in their solutions
- Assist customers and other teams in finding answers to their data questions
- Leverage Airties Data Lake to prove the value of our solutions
**What you should ideally bring**:
- MS, MEng or PhD in Data Science, Statistics, Computer Science, Mathematics or Physics
- 5+ years of experience in data science and/or data engineering. This is a senior role
- Proven experience with the full ML lifecycle, including updates to production
- Working experience with MLflow
- Experienced Spark and Python user
- Excellent spoken and written English. As an international company, Airties is an English-language environment
- Attention for detail in and consistency across deliverables
- Self-directed: knows how to plan and execute themselves to achieve a larger goal
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