Data Scientist (Product Startup, Equity) (offline)

Required
* M.S. in Computer Science, Mathematics, Electrical Engineering, Statistics, or equivalent fields.
* Strong English verbal and written communication.
* 3+ years of experience with proven record in the AI and data analytics domain
* Solid Deep learning background and familiarity with state-of-the-art techniques such as deep neural networks and their use cases such as image processing, natural language processing, speech recognition.
* Hands on experience in conceptual modeling, statistical analysis, predictive modeling, and hypothesis testing.
* Experience in developing machine learning models and applying advanced analytics solutions to solve complex business problems.
* Experience with unsupervised and supervised machine learning techniques and methods.
* Experience working with large-scale unstructured and structured data sets and databases.
* Experience performing data mining, analysis, and training set construction.
* Solid programming experience in Python and/or R.

As a Plus
+ PhD. in Computer Science, Mathematics or Statistics with specialization in AI/machine learning/Deep learning
+ Experience with Amazon AI offerings, including custom modeling on SageMaker.
+ Experience in graph data modeling

WE OFFER
This is an opportunity to break through the noise and drudgery of every day work and become a thought leader who is making an impact on the world and the future of work itself.

* Office, located in the city center
* Flexible work schedule
* Official Ukrainian holidays are non-working days
* Competitive salary

We have been incubated out of New York’s bustling technology scene.
Joining us will let you enjoy:
+ Rapid self-development and learning
+ Working with the latest technologies
+ Challenging tasks from day 1
+ Building a product that’s used by leading companies across the globe
+ Young, smart, friendly Team to help you rise to the challenges

Also, this position will include:
+ Equity in the company
+ Opportunity to work in an internationally established startup that has already raised Venture Capital
+ Travel to Europe and US for conventions, trainings, and teambuilding

If you are looking for the adventure of a lifetime and are interested in this opportunity, please send us the following information:
1) Resume and link to your LinkedIn profile
2) Some good references or links to previous projects you’ve worked on (would be a plus)

Requirements
The Data Science Team plays a critical role in Shelf’s future development and direction. This Team work directly with the executive leadership team and is responsible for designing and implementing strategic R&D initiatives, using Natural Language Processing, Machine learning, Deep learning, Artificial Intelligence, Conceptual modeling, Statistical analysis, Predictive modeling, and Hypothesis testing.

About product
Shelf is working to redefine the future of work with an intelligent knowledge augmentation platform that improves how distributed teams function. We enable people to quickly connect with the knowledge they need to do their jobs in real-time and leverage analytics, AI and automation to make managing diverse and ever-changing content easier than ever before.

About shelf.io

We are Venture Capital backed, New York-based SaaS Product Company.
Shelf.io is reimagining the Library for the workplace of the 21st century.
Shelf is designed to help declutter and organize your most important content. Everything about Shelf, from our search to our customer support, reflects the passion and drive of our team to build a better way to harness knowledge and make things easy to find and share. People use Shelf to instantly find the information they need to publish a story, make a pitch, or close an important deal, without the pain of redoing work or wasting time tracking things down.

Company website:
shelf.io