- Published: May 6, 2021
We love to travel as much as you do.
That's why we want to make it attainable, so you can make your travel dreams a reality.
We believe in making hotel stays more affordable - so that you can save your money for more unforgettable travel experiences. If you want to make an impact and give everyone the chance to experience the world - let's talk!
This data science engineer position is for an experienced and passionate engineer/developer, who will become a vital part of our team and play a key role in our data science initiatives.
We're a hyper-growth, well-funded startup, with offices in Israel and the US, that believes in full transparency, continuous improvement, creativity, and most importantly - to enjoy what we do.
About the role::
➔ Your mission in this position is to apply Machine Learning to provide insights and improvements to the system working behind the scenes to provide a smooth and seamless travel experience for millions of people worldwide every day.
➔ You will participate in an innovative and cutting-edge development process with a view to support our needs.
➔ Optimizing our product performance will bring both your Machine Learning knowledge and your development skills to the extreme
This role will report to the Chief Research Officer.
About us - Splitty::
Splitty is an innovative award-winning startup, aiming to be the next worldwide travel brand. We offer unique hotel prices by splitting and combining multiple bookings under one reservation.
Splitty was founded in 2015, launched onto the market in 2019, and raised $13m so far.
We are an equal employment opportunity employer and will consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity, national origin, protected veteran status, disability, or any other protected classification under federal and state law.
➔ Bachelors or Masters in a relevant field such as computer science, data science, math, statistics, and other related disciplines.
➔ At least 4 years of experience in software development/programming
➔ Solid understanding of Machine Learning algorithms including classification, regression, time series analysis, and optimization.
➔ At least 2 years of experience in Machine learning/Data Science.
➔ Deep learning knowledge and experience - An advantage.
➔ Proficiency with data analysis and modeling tools including Python, Jupyter, SKLearn.
➔ Experience with relational databases (e.g., SQL, postgres, etc.)
➔ Experience with implementation of machine learning solutions on top of big data/distributed platforms (i.e. Spark, Spark streaming, Hadoop, Amazon Sagemaker) - An advantage
➔ Thrive in a fast-paced environment, passionate about learning new technologies quickly
➔ Startup mentality, Roll up your sleeves attitude