Senior Data scientist

About the company:

Gloat puts people and companies in motion. Our Agile Workforce Operating System is helping the world's most renowned enterprises become dynamic organizations, future-fit for any eventuality, and poised for continuous growth and innovation in today's ever-changing economic climate.

We deliver AI-powered intelligence, infrastructure, and applications that enable organizations to effectively tackle change with agility, unlock capacity and productivity, and reduce workforce risk. Today we support industry leaders around the world including HSBC, Spotify, Nestle, Standard Chartered Bank, Schneider Electric, and many more.

Life at Gloat:

Gloat is a revolutionary startup with a global workforce. We have offices in Tel Aviv, New York City and London and work with customers around the globe. We value collaboration, innovative thinking, and curiosity and we’re looking for bright, driven, and passionate people to grow with us. If you care about empowering businesses and people to reach their potential, you’re in for a fun ride.

About The Position

We’re looking for a seasoned data scientist, with strong algorithmic intuitions, background in algorithm development and significant experience in software development/machine learning engineering.

Requirements:

At least 5 years of substantial hands-on experience as a key contributor to a data science team.
MSc. in computer science, mathematics, statistics or similar.
Deep learning experience (hands-on Keras/Tensorflow/PyTorch) - Must
Experience in NLP – must
Experience in Recommendation systems - strong advantage.
A team player and a can-do attitude.
All- arounder at heart!

At Gloat, we believe that building the most important company in the history of human capital begins with having a diverse and inclusive workforce ourselves. This means that we look for individuals who can bring unique strengths, perspectives, skills, and backgrounds to our existing teams. Gloat is proud to be an Equal Opportunity Employer, and does/will not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.

Responsibilities:

Develop state of the art optimization, NLP and recommender engines, based on machine learning algorithms.
Lead research projects, and mentor other data scientists.
Gather and analyze data and identify key prediction/classification problems.
Research data and algorithms to achieve best results for various tasks (recommendation, explanation, search, NLP and more)
Collaborate with cross-functional teams to define interfaces, understand dependencies, and resolve challenges effectively.
Implement model usages from research to production, in a scalable and resilient architecture (and be part of creating and maintaining this architecture)