Numberly puts technology to work for brands and is at the heart of business growth and consumers' desire for more responsible and relevant marketing: we help our clients better understand their consumers by building systems to collect, analyse and activate data.
To do this, we are over 500 talents divided into autonomous teams.
We aspire to have everyone develop a positive influence, be proactive, and challenge our technical and organisational choices.

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

• At Numberly, we share a passion for transmission: weekly internal talks, meetings with professionals who are experts in their field, and continuous learning.

• Fast and powerful onboarding, thanks in particular to:
  - the "Jedi Master", allocated to each newcomer
  - Vis ma vie in different teams;
  - Happy Meetings: monthly internal meetings to get together with all our teams around the world and share the group's news.

• We cultivate the freedom of speech that allows everyone to participate in the group's development.

• We have a positive impact on our ecosystem through 1000mercis impacts and through our activities that create value in the Open Internet and contribute to the enrichment of Open Source. 

• Numberly is a diversity player and Gender Equal by design: WeConnect International certification and a gender equity score of 97/100

• Numberly is an international environment with over 30 nationalities in our teams. 

• Offices that reflect each team, a generous library, a large fully equipped music studio, two cats, waste separation and worm composting, the possibility of bringing your pet and space for bicycles! In each kitchen: coffee, tea, herbal teas and also mystery lunches, yoga classes, sports classes and parties (often fancy dress). 

• Possibility to be remote up to 50% of your time (to be arranged as you wish) and to work up to 60 consecutive (working) days in remote.

• Swile card (meal vouchers).

• Mobility possible in our various international offices.

• Numberly welcomes people with disabilities.