Data Scientist Intern

Key Skills

AI technology, Big Data Technology, C Programming, C++, CUDA/GPU programming, Forecasting, GoLang, Machine learning techniques, MLOps tools, Natural Language Processing (NLP), Python Programming, Scala Programming, Time series

Job Description

Contentsquare’s vision is to help businesses give users of their digital platforms an experience they LOVE, ENJOY, DESIRE, SEEK, DESERVE. That’s why we want to build a suite of products that go beyond descriptive analytics: we want to deliver concrete insights and recommendations for businesses to improve their digital platform and allow an optimized experience for the users.

Our team of 20 data scientists is at the heart of the process. We generate insights, recommendations, and personalisations from the unique dataset of user interactions and digital content collected from the most visited websites & apps worldwide (several billions of events per day). Our projects involve understanding user behaviors, modeling app/web content and layouts, automating UI/UX performance analysis, and characterizing e-commerce products. Our solutions leverage a large span of AI/ML sub-fields, including NLP and time-series forecasting.

What you will do

• Learn to translate business needs into data science requirements.
• Apply data science techniques and models to improve our product using AI and Machine Learning, under the guidance of senior team members.
• Collaborate with Product Managers, Data Engineers, Designers, Front-end Engineers, and Data Analysts to assist in deploying models and technical solutions into our production system.
• Assist in building tools to improve our data science pipeline from exploration to production.
• Contribute to the internal communication of the data science team by creating reports and presentations.

What you'll need to succeed

• Currently pursuing a Master in Machine Learning or related fields with a strong foundation in Math and Statistics.
• Deep understanding of big data concepts and ML algorithms.
• Proficiency in Python programming and experience in collaborating with other developers using Github or similar tools.

What makes you stand out

• Demonstrated interest in ML through relevant coursework, projects, and/or internships.
• Exposure to modern parallel environments (distributed systems, multicore SMP, GPU ...)
• Familiarity with functional programming and coding skills in C/C++, Scala, or Go are a plus
• Understanding of fundamental MLOps concepts

The hiring process

• A 30 minute call with our Talent Acquisition Partner, to better understand your career plan and answer any questions you may have
• A 60 minute call with a Data Science Manager, to be aligned on expectations on both sides and to talk about how you would work together
• A remote exercise to evaluate your technical proficiency in tackling data science projects and give you a taste of what you could be working on at Contentsquare
• A 90 minute video call or onsite interview to deconstruct the solutions you proposed in the remote exercise, test your knowledge of foundational data science concepts and evaluate your live coding skills

After each stage, the Talent Acquisition Partner will contact you to get your feedback and let you know if you will proceed to the next stage.

On average our process lasts 3-4 weeks!

Why you should join our R&D department? Here is our R&D Manifesto

We write our own story.

We think for ourselves, keeping an open mind and engaging in constructive criticism. We are transparent in what we do and why we do it. We build and leverage tech expertise to answer business challenges. Learning from all experiences, we deliver continuous improvements in production. We empower all team members to have an end-to-end impact, take initiative, and bring new ideas to life. We stand together and thrive together; team spirit and solidarity matter even more than strong expertise.

We live a human adventure.

Why you should join Contentsquare:

• We’re humans first. We hire dedicated people and provide them with the trust, resources and flexibility to get the job done.
• We invest in our people through career development, mentorship, social events, philanthropic activities, and competitive benefits.
• We are a fast growing company with a track record of success over the past 10 years, yet we operate with the agility of a startup. That means a huge chance to create an immediate and lasting impact.
• Our clients, partners and investors love our industry-leading product.
• To keep our employees happy and engaged, we are always assessing the benefits/perks we offer to ensure we are competitive. Here are a few we want to highlight:
• Virtual onboarding, Hackathon, and various opportunities to interact with your team and global colleagues both on and offsite each year.
• Work flexibility: hybrid and remote work policies.
• Generous paid time-off policy (every location is different).
• Immediate eligibility for birthing and non-birthing parental leave.
• Wellbeing allowance.
• Home Office Allowance.
• A Culture Crew in every country to coordinate regular outings such as game nights, movie nights, and happy hours.
• Every full-time employee receives stock options, allowing them to share in the company’s success.
• We offer many benefits in various countries -- ask your recruiter for more information.

Uniqueness is embedded in our DNA as one of our core values. Even if you don’t meet all of the requirements above, we encourage you to apply.