Expert Applied Scientist - Time Series (F/M/X) - Permanent
Jellysmack, France
Job Description
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?
Your mission:
Leverage data to build better solutions for decision-makers, all in a strong spirit of collaboration. You will use the right libraries to address product and business challenges. Your communication skills will enable you to dialogue with the various stakeholders, gather their needs, and present your results in an educational manner.
At Jellysmack, Time Series projects are fundamental to anticipate the future of the creator economy. It could be applied to our proprietary data to have a better idea of future videos revenue and performance but also on public social media data to identify content creators with high potential.
As part of a team with many different data profiles (applied scientist, research scientist, AI product manager, data scientist, data engineers, machine learning engineers, business analyst) in order to share knowledge, you will have the opportunity to be a mentor for more junior teammates at the algorithmic level. You will work with:Applied scientists construct state-of-the-art solutions to tackle business problems.- Machine learning engineers own the responsibility of the product, from modeling to monitoring behavior in production.
- Research scientists to identify new tools of interest.
- AI Product manager to deeply understand needs and create solutions that are actionable and adopted by its final users.
Some examples of Time Series topics we deal with at Jellysmack:
We have two major distinct prediction topics:
- Predict the future earnings of the content already posted on media platform. Ex In Jellyfi we predict the future earnings of the back catalog of the Creators to buy their old content without doing any modifications on content.
- Estimate future performances of content creators across social media platforms to help JellySmack to make the best partnership. Also to help Creator create and publish the best content because if we can predict earnings before publication we can do that.
What you’ll be responsible for:
- Problem-solving support in high-impact use cases and projects.
- Participating in company decisions that are related to or impacted by the field of expertise.
- Being a reference on a field and recognized as such both internally and externally:
- knowledge sharing, articles.
- internal or research publications.
- participation in conferences and communication.
- collaborations between teams and externally (academic and industry).
- Share what you know through regular presentations and workshops with the data team.
- Supporting teams in making scientific and technological choices.
- Participating in internal training on the subjects of expertise: design, build, and deliver training.
- Maintaining their expertise.
A little about you:
- MS or Ph.D. degree in Computer Science or related quantitative field.
- 10+ years of experience in the industry.
- Solid understanding of statistics.
- Strong experience in time series forecasting and modeling
- The industrialization of ML and Deep learning models hold no secrets for you, you have already sent and tracked dozens of models into production in different technical environments.
- Solid Python and software engineering skills
- You like to share your knowledge and act as a mentor for the other members of the team.
- Professional working proficiency in English.
Jellysmack’s technical AI Stack:
- Language: Python, C++
- Databases: Aurora, Redshift, ElasticSearch on AWS
- Libraries: Pandas, PyTorch, Tensorflow, Scikit-learn
- MLOps: Sagemaker, Gitlab, Airflow, Docker
- Environment: We use Pycharm, VSCode, VIM and Jupyter but we’re open to anything on any OS!
Our Work from jellywhere philosophy:
Jellysmack believes in a flexible work environment in