- Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications

- Experience creating and using advanced machine learning algorithms and statistics : regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks

- Should be able to host the models and make them api convertible.

- Good communication and presentation skills in order to explain your work to people who don't understand the mechanics behind data analysis

Responsibilities :

- Working on Cutting Edge AI solutions in partnership with best of business in the industry.

- Propose innovate solutions and adopt quickly to dynamic learning environment.

- Build AI algorithms and design experiments to merge, manage, interrogate and extract data to supply tailored reports to colleagues, customers or the wider organization

- Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.

- Bring about Explainable and Responsible AI.

- Conduct research from which you'll develop prototypes and proof of concepts

- Look for opportunities to use insights/datasets/code/models across other functions in the organization

- Stay curious and enthusiastic about using algorithms to solve problems and enthuse others to see the benefit of your work.

- Move fast, Break things, Learn, Make History, Stay Curious.