Applied Scientist (F/M/X) - Internship

France - Remote

Applications have closed

Jellysmack is the global creator company that detects and develops the world's most talented video creators on social media. We're an optimistic crew who naturally goes the extra mile, has a glass-half-full mindset, and sees challenges as opportunities. We look for positive people who think outside the box, are inventive, bold, lead change, and believe that teamwork matters.

Team culture:

Our job is to take numbers and turn them into reasons to celebrate! Data drives everything we do at Jellysmack and is thus essential to the company. Data is at the heart of our success, and it drives the content we create and how we edit videos so we can optimize everything we publish. Everyone on our team is capable of going above and beyond the call of duty. Our goal is to gather and analyze data to help the company grow. Do you have what it takes to be part of our team?

Internship context & your mission:

Machine learning allows us to build strong predictive models. These methods mainly focus on correlation analyses; this is insufficient when we need to understand causal mechanisms and design interventions. Furthermore, they do not guarantee that the accuracy obtained so far will still be achieved in the future. Indeed, correlation as opposed to causation may not be true in the future. Therefore, it may be interesting to extend the knowledge of the data to identify the causal mechanisms, and thus build models robust to data shift.

The concept of causality is fundamental to answering the "What if" questions. "What if a system intervention was not done? What if an algorithm was changed ?"

Randomized Controlled Trials (RCTs) are a common way to find out if a relationship is causal or not.

In these kinds of experiments, people are put into a control group or a treatment group at random. This way, the groups are the same and the treatment can't have any parents who caused it.

However, we can’t always randomize treatment. Specifically, it may be difficult to create two identical populations. This is where causal inference comes in, proposing the notion of a potential outcome to determine the effects of a treatment when only one outcome can be observed.

One of our goals at Jellysmack is to promote our creators’ content on Facebook and help them grow an enthusiastic community that will engage with their content.

To help the growth of our creators, advertising campaigns are organized. The effectiveness of these campaigns depends on the right choice of adsets (targeted audience, creative,...) and the budget put forward.

Our goal during this internship will be to propose causal inference methods that will help to measure the impact of different adsets on the success of the advertising campaigns.

  • When A/B testing is not an option, design and analyze experiments and perform causal inference.
  • Experience in advanced statistics, including e.g., parametric and non-parametric analyses, mixed-effects models, predictive modeling, imputations, time series, stochastic processes, machine learning, model selection

A little about you:

  • Strong programming skills in R, Python or other relevant languages.
  • English fluency (oral and written)
  • Good communication and presentation skills

Our “Work from jellywhere” philosophy:

Jellysmack believes in a flexible work environment in which anyone can work from anywhere. This is why we’ve implemented our flexible location philosophy, meaning you get the best of both worlds: you can choose to work from home and / or from our offices in Paris, New York, Los Angeles and Corti.

Nota bene: your residence must be in the country in which you are applying

Perks at Jellysmack:

  • Clubs (cooking, art, talks, sports)
  • Paid volunteering: 1 day dedicated to supporting a cause of your choice
  • Wellness (fitness, yoga, meditation)

The Jellysmack difference:

Jellysmack’s story started in 2016, and since then, our unrivaled platform optimizes and distributes video content across social media platforms and allows creators to reach genuine new fans with zero effort.

We are the only company building the hyper-engaged communities that every creator dreams of because, first and foremost, we are creators too.

Currently home to 520+ influential Creators, including Brad Mondo, Bailey Sarian, and Emmymade, Jellysmack optimizes, operates, and distributes creator-made video content to Facebook, Instagram, Snapchat, TikTok, Twitter, and YouTube. The company’s creator strategy builds upon its success in scaling its own original content channels in beauty (“Beauty Studio”), soccer (“Oh My Goal”), gaming (“Gamology”), and more.

Through the power of our data, we maximize reach and revenue so our creators can stay focused on their passion—creating the best content and entertaining fans around the world. We turn that passion into a brand and that brand into an empire.

Our commitment to diversity and inclusion

At Jellysmack, we believe that the best ideas come from the diverse cultures of our team members. Our commitment to inclusion across race, gender, age, religion, identity, and experience drives us forward every day. Creating a work culture that is safe and comfortable for our people to flourish is our main focus.

Ready to be part of a great human adventure? We’re dedicated to making the best working environment possible for our people. All you have to do is apply; we are ready to let you show off your talent!

Tags: A/B testing Causal inference Machine Learning Predictive modeling Python R Statistics Testing

Perks/benefits: Career development Flex hours Flex vacation Yoga

Regions: Remote/Anywhere Europe
Country: France
Job stats:  80  19  0
Category: Data Science Jobs

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