Data Scientist H/F

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

The phenomenal development of e-commerce has given rise to huge quantities of data and information. Companies have difficulty exploiting this data, not knowing which leverage actions to choose nor how to measure their impact.

• This is where Data Impact comes in! We collect over 40 billion pieces of data daily which we process and use in innovative monitoring tools destined for the industry professionals.
• Our objective: to enable our clients to define the best strategy, take the best decisions and optimise their execution in real-time.
• Today: Data-Impact is a leader in e-retail and omnichannel analytics; a rapidly growing start-up with clients in more than 40 countries.
• A young but experienced and dynamic team with a resolutely start-up attitude! A uniquely diverse and international environment with more than 30 nationalities.
• Real career development opportunities A friendly, relaxed atmosphere and a climate of mutual trust promoting autonomy and challenges

Job Description

We are looking for a Senior Data Scientist to join our growing Machine Learning team. Your work will entail working on one or more projects at a time with task such as:

• Developing ML tools (web services, APIs, etc)
• Preparing data for ML models
• Researching latest technologies used in ML
• Developing and improving predictive models

Qualifications

• 5 years as a Data Scientist
• Proficiency with Python, knowledge of programming languages such as C++ and Golang is a plus
• Experience with ML technologies such as Keras, Pytorch, Tensorflow
• Experience with time-series analysis is a plus
• Work environment (Linux, Jupyter, Python, Git, Docker, CockroachDB, MongoDB
• Significant experience with Pandas, SQL technologies and writing Dockerfiles
• Good communication skill in French And English

Additional Information

Recruitment Process

• Screening phone call
• Tech test
• Tech interview with the team
• Final interview with one of the co-founders