We are looking for a data scientist to work on innovative projects in the field of digital marketing.
Your job will be to help our team optimize Digital Marketing campaigns using Applied Mathematics and Machine Learning. You will join the data science and analysis team, composed of data scientists, data analysts and a machine learning engineer, where you will be designing new algorithms using your knowledge and analytical skills in order to take on new business challenges.
Position summary:
You will take part in the elaboration, optimization and development of machine-learning algorithms, to improve the efficiency of Numberly’s Relationship Marketing Programs (examples of projects we are currently working on include: scoring of users with their probability of purchase, ranking inventories according to their predicted performance, product recommendation algorithm, reinforcement learning applied to banner selection ...)
You will have the ownership of the new algorithms you build, from understanding and assessing the business need to the modelisation (based on literature reviews) and finally the implementation in production with the help of our data engineers and machine learning engineer.
You will work closely with marketing teams, project managers, data engineers and machine learning engineers and developers
You will help improve existing algorithms, add new features and adapt them to a complex and always changing environment
You will have access to large datasets to build supervised or unsupervised algorithms:
behavioral and declarative data collected in real time
thousands of socio-demographic variables on millions of individuals
transactional data collected by our clients
Master's degree required in a quantitative field such as Machine learning, Statistics or Applied Mathematics or a generic master such as engineering with a specialization in a quantitative discipline
Machine learning algorithms knowledge (both supervised and unsupervised) is required
Coding skills in an object oriented language is required (Python prefered, Java, Scala …)
SQL knowledge will be strongly appreciated
Knowledge or experience in Spark and airflow is a plus
Highly motivated, intellectually curious, strongly interested in the digital industry
Start-up spirit, capable at multitasking and prioritizing workload
Excellent communication skills, strong motivation to work in a fast growing company in an international environment
Technical environment in Numberly:
Hadoop ecosystem (HDFS, Hive ... )
Apache Spark
Apache Airflow
SQL Databases (Postgres, SQLServer)
NoSQL databases (MongoDB, ScyllaDB, ElasticSearch, ...) and graph database (Neo4j)
Apache Kafka
Python, Java, Scala
Git, Linux
Docker, Kubernetes
FastAPI
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