Position: Data Scientist
Company: Data Science UA
Experience required: 1y
English level: intermediate

The Data Science team is a melting pot of around 100 Data Scientists with various backgrounds, previous experience and affinities. Some have been here since their graduations, others did work in startups, consulting firms or other companies before. Some had an engineering background from the start, others did first a business major before specializing in Data Science. Some studied statistics, others engineering systems.

Every day is an opportunity to excel, to learn more and to face new challenges. Thanks to a tailor-made skills development program, you will be able to become a Swiss Army knife in data, all while developing very precise skills in our different expertise.

Mission
You design and deliver data solutions to and with our clients, which means developing data preparation pipelines, training algorithms, deploying them in infrastructures, and interacting with clients.

You contribute to company’s internal and knowledge growth as well, by working on internal projects, recruitment interviews, coaching juniors, animations of knowledge-sharing events.

Required skills:
Experience with a programming language, such as Python;
Experience with SQL and building data pipelines;
Experience with Spark as a plus;
Strong understanding of machine learning: you should be familiar with the process (data collection, training, evaluation, and making iterative improvements) of building effective learning systems;
Tensorflow, Keras, NumPy, Jupyter, Sklearn;
Math: linear algebra, calculus, statistics, smoothing, nonlinear optimizations;
Algorithms, data structures;
Good level of English (communication, presentation in English and writing);
Bachelor’s degree in math, statistics, computer science.

You will be perfect match:
If you are an aspiring data and machine learning expert, or if you are already there;
If you want to understand our clients’ businesses: you are a problem solver, curious, open-minded, and willing to discover the subtleties of different sectors;
If you embrace the One-Team spirit.

Main responsibilities:
Exploit Machine Learning algorithms, techniques and best practices on the Customer data to build predictive models.Dive in the Customer domain to offer better solutions and modeling targets
Provide descent exploratory data analysis to tell the story behind the data

Why should you join:
This is the place to be: come and build the future of data and marketing;
Innovation: They have a passion for creating impacting projects, and believe innovation can come from anyone;
Action: They make things rather than telling people how to make them;
Collaboration: They believe in bringing talented people together, in winning together, and in learning from each other.

We offer:
Good compensation
Benefit package
Strong team and career growth
Challenges every day!