The Role
Design and implement supervised and unsupervised machine learning methods on large GPS and sensor datasets. Train models to predict transport types, home/work locations and human behaviors, improve methods, and productionize models for deployment.
Summary Generated by Built In
For our customer, we are looking for a Junior Data Scientist with a passion for machine learning and data analysis to solve challenging data analytic problems.
Tasks and responsibilities:
- Design and implement state-of-the-art methods for both supervised and unsupervised learning;
- Work with big data (GPS fixes and sensors) from hundreds of thousands of users;
- Train algorithms to predict low events concepts (type of transports,
- home/work location) and human behavior (commuting, sporting, shopping);
- Help the team to improve upon current methods and models. With a
- practical mindset you will bring these models into a production
- environment;
Profile:
- Masters degree or PhD in computer science or a related field;
- Professional or academic experience in machine learning and data modeling;
- Used generative (e.g. Gaussian Mixture Models) and discriminative (e.g. Random Forest) classification techniques;
- You have a strong mathematical background and analytical mindset;
- You are fluent in Python and have strong knowledge of software development;
- You are fluent in English;
Nice to have:
- Experience in signal processing;
- Geo-spatial and Spatio-temporal learning;
- Knowledge of natural language processing;
- Sensor data modeling from mobile devices or wearables;
- Big data engineering knowledge (Spark, Kafka, database,…);
- Experience with Java;
- Deep Learning; LSTMs, Convolutional neural networks, etc;
Offered:
- Challenging position at market leader, working on top products;
- Attractive salary package;
- Relocation and visa support;
Interested:
Please send your CV to [email protected].
Skills Required
- Master's degree or PhD in computer science or a related field
- Professional or academic experience in machine learning and data modeling
- Experience with generative (e.g., Gaussian Mixture Models) and discriminative (e.g., Random Forest) classification techniques
- Strong mathematical background and analytical mindset
- Fluent in Python
- Strong knowledge of software development
- Fluent in English
- Experience in signal processing
- Geo-spatial and spatio-temporal learning
- Knowledge of natural language processing
- Sensor data modeling from mobile devices or wearables
- Big data engineering knowledge (Spark, Kafka, database, ...)
- Experience with Java
- Deep Learning (LSTMs, Convolutional Neural Networks, etc.)
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The Company
What We Do
All European Careers is a full-service IT staffing solutions consultancy operating worldwide. It specializes in hiring and selecting Java talent for leading companies in Europe on a permanent, contingent, or project sourcing basis. The company provides tailor-made recruitment services for technologies including Java, Drupal, Angular, DevOps, and Big Data, focusing on building long-term strategic partnerships with its customers and candidates.







