Internship - Data Scientist
Paris, France
Company Description
Numberly is recognized as one of the world's leading data marketing specialists with nearly 500 employees and 8 offices worldwide serving more than 500 blue-chip clients (L'Oréal, P&G, Groupe Seb, HSBC...). By putting technology to work for brands and consumers, Numberly is at the heart of business growth and everyone's desire for more responsible and relevant marketing. Numberly leverages the latest advances in data processing, analysis, and media activation in a virtuous cycle of business competitiveness, enhanced privacy, and data protection. state of mind that drives Numberly.
Job Description
We hire Data Scientist interns to work on innovative projects in the field of Real-Time Bidding.
Your job will be to help our team to optimize Digital Marketing campaigns using Applied Mathematics and Machine Learning: in a competitive R&D team you will have to design new algorithms using your knowledge and analytical skills in order to face new business challenges.
You will take part in elaboration, optimization and development of machine-learning algorithms, to improve the efficiency of numberly’s Relationship Marketing Programs (examples of issues we are working on in RTB: scoring, ranking, clustering of CRM databases, predictive algorithms...)
You will contribute to the design and development of business intelligence and data visualization tools for our clients
You will help to develop a new approach of marketing: people based marketing
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…
Qualifications
Quantitative studies like Economics, Statistics, Engineering, or IT
Specialization in Applied Mathematics, algorithms, Machine Learning
Experience with Big Data tools like Hadoop, Hive, Python, SQL Server, MongoDB, R, Matlab…
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:
MySQL, HBase, Pig, Spark, memcached
Processing asynchrone, message queuing, Node.js
Flask, Django, gevent
Gentoo Linux
Additional Information
- At Numberly, we share a passion for passing on information to both our teams and clients: weekly internal talks, meetings with professionals who are experts in their field, and ongoing learning.
- Our onboarding is fast and powerful, thanks to the "Vis ma vie" (“Live my life” in different teams); and the "Happy Meetings" (monthly internal get-togethers with our teams around the world to share the group's latest news).
- We cultivate freedom of speech, which allows everyone to participate in the group's on-going development.
- We positively impact our ecosystem through 1000mercis actions and activities that create value in the Open Internet; we contribute to the enrichment of the Open Source.
- Numberly is a diversity player and Gender Equal by design (WeConnect International certification and a gender equity score of 97/100).
- Numberly offers an international environment, hosting over 30 nationalities worldwide.
- Other perks: offices that reflect each team, a generous library, a large fully equipped music studio, two cats, waste separation and worm composting, the ability to bring your pet, and room for bikes! In each kitchen: coffee, tea, infusions at will and also mystery lunches, yoga classes, sports classes and parties (often disguised).
- Possibility to be remote up to 50% of your time (to be organized as you wish).
- Swile card (meal vouchers).
- Numberly welcomes people with disabilities.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Big Data Business Intelligence Clustering Data visualization Django Economics Engineering Flask Hadoop HBase Linux Machine Learning Mathematics Matlab MongoDB MySQL Node.js Open Source Privacy Python R R&D Spark SQL Statistics
Perks/benefits: Career development Lunch / meals Startup environment Yoga
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