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 apractical mindset you will bring these models into a productionenvironment;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] 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 apractical mindset you will bring these models into a productionenvironment;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].

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.

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:Tasks and responsibilities:Tasks and responsibilities:

• Design and implement state-of-the-art methods for both supervised and unsupervised learning;

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;

Work with big data (GPS fixes and sensors) from hundreds of thousands of users;

• Train algorithms to predict low events concepts (type of transports,

Train algorithms to predict low events concepts (type of transports,

• home/work location) and human behavior (commuting, sporting, shopping);

home/work location) and human behavior (commuting, sporting, shopping);

• Help the team to improve upon current methods and models. With a

Help the team to improve upon current methods and models. With a

• practical mindset you will bring these models into a production

practical mindset you will bring these models into a production

• environment;

environment;Profile:Profile:Profile:

• Masters degree or PhD in computer science or a related field;

Masters degree or PhD in computer science or a related field;

• Professional or academic experience in machine learning and data modeling;

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;

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 have a strong mathematical background and analytical mindset;

• You are fluent in Python and have strong knowledge of software development;

You are fluent in Python and have strong knowledge of software development;

• You are fluent in English;

You are fluent in English;Nice to have:Nice to have:Nice to have:

• Experience in signal processing;

Experience in signal processing;

• Geo-spatial and Spatio-temporal learning;

Geo-spatial and Spatio-temporal learning;

• Knowledge of natural language processing;

Knowledge of natural language processing;

• Sensor data modeling from mobile devices or wearables;

Sensor data modeling from mobile devices or wearables;

• Big data engineering knowledge (Spark, Kafka, database,…);

Big data engineering knowledge (Spark, Kafka, database,…);

• Experience with Java;

Experience with Java;

• Deep Learning; LSTMs, Convolutional neural networks, etc;

Deep Learning; LSTMs, Convolutional neural networks, etc;Offered:Offered:Offered:

• Challenging position at market leader, working on top products;

Challenging position at market leader, working on top products;

• Attractive salary package;

Attractive salary package;

• Relocation and visa support;

Relocation and visa support;Interested:Interested:Interested:

Please send your CV to [email protected].

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