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.

Who we’re looking for:

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

Requirements:

At least 5 years as a Data Scientist, Machine Learning Engineer, or Applied Researcher.
MSc. in computer science, mathematics, statistics or similar.
Hands-on expertise in NLP (e.g., large language models, text classification, retrieval-augmented generation, dialogue systems).
Strong background in AI Agent frameworks and techniques (e.g., reasoning agents, tool-using agents, autonomous workflows).
Proficiency with Python and ML libraries (PyTorch, TensorFlow, Hugging Face Transformers). – Must
Experience shipping ML-powered features in a startup or other fast-moving environment.
Experience in Recommendation systems - strong advantage.
A team player and a can-do attitude.

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 cross-functionally to define requirements, prioritize experiments, and integrate AI capabilities into customer-facing products.
Rapidly translate research prototypes into robust, production-ready pipelines and APIs.