Data Scientist - Senior / Junior (Pipeline - On Hold)
Who are you?
You're in love with data. You believe that all the answers to any question lies in a data store somewhere, and it is waiting for someone to discover it. You believe that people need to ask the right question in order to find the right answer, and you can do both.
You will be solving some of the most challenging problems across several fields in data science such as Natural Language Understanding, Information Retrieval, Information Extraction, Machine Learning, Computer Vision, Deep Learning and more.
This is the diagram that best describes you:
Who are we?
We're a team of elite engineers, one of a kind in Egypt, and we're working on building highly sophisticated Artificial Intelligence platforms in the field of marketing automation. Our team has won several awards and were mentioned in the world's biggest publications such as Forbes, TechCrunch, and more.
We are on a mission to make the internet a better place by fixing the way marketing works, and together we're conquering the world...one commit at a time!
Why work with us?
Because we put people first!
Some of the benefits of working in Cognitev are:
Global company with offices around the world (Dubai, Cairo, San Francisco)
Our Cairo office is a large villa, with our own pool, and mango trees with an XBox zone, and a Ping-pong table :)
All our salaries are paid in US Dollars ($)
Stock options for all team members
Unlimited vacation, work from home
Schooling allowance for team members with children
In-house Catering service
Working on the most challenging computational problems with the most advanced stack (Scala, Akka, Spark, Storm, Kafka, Kubernetes, and more)
Incredible hand-picked team, that is one of the most solid in Egypt.
An amazing culture to work in
Two patents in the fields of NLP and Deep learning
Global product being used by customers around the world (US, Europe, Asia, MENA)
Minimum BA/BS degree in Statistics, Math, Physics, Computer Science or related quantitative degree.
MS/PhD preferred or 2+ years of relevant experience.
Fluency with at least one scripting language such as Python.
Experience with analysis tool(s) such as pandas or R.
Excellent Feature Engineering skills.
Machine Learning Experience is a must.
Natural Language Processing/Understanding techniques.
Information Retrieval hands-on experience is a plus.
Deep Neural Networks Experience is a plus.
Computer Vision Experience is a plus.
Experience with Spark, Hadoop Ecosystem is a plus.
Active contributor to open source software is a plus.
Comfortability working in a Unix environment.
Leveraging your broad technology capability set and maintain a level of excitement in using various technologies to research, experiment, and iteratively improve real cutting edge class models.
Building state of the art Natural Language Understanding Models.
Balancing research and product. We value staying up-to-date on cutting edge research, while also shipping meaningful products.
Build Artificial Intelligence components capable of automating human tasks with sufficient quality in the digital marketing stack