Position: Data Scientist / ML Engineer for Adtech project
Company: Xenoss
Category: Data Science
Experience required: 3y
English level: upper
Published: 2020-10-01T00:00:00+03:00

**Project:**
ML model building using cutting-edge algorithms (Deep Learning, XGBoost, GBM, etc.) from a proof of concept to productionised models, monitoring the performance of live models bidding in real-time, and producing insight for customers (understand what drives installs/retention behaviours).
Continuous research and improvements on productionised models, including ML feature engineering and model training tuning to reflect changes in users’ behaviours and market dynamics.
Collaborating closely with the commercial team to identify, develop, and optimise business opportunities.
Generating insight from campaign data using Python, Tableau, and other technologies to satisfy customers’ needs.
Reviewing, monitoring, and optimising running campaigns and integrations providing advice and troubleshooting for customers.

**Requirements:**
— Degree in applied math, computer science, or equivalent.
— 5+ year experience with a SQL-like query language, Python, and Spark
— Good communicator who can explain and understand complex problems while dealing with both non-
technical and technical teams.
— Ability to query large amounts of data, build models, and derive insights for customers.
— Ability to structure and solve difficult problems with minimal supervision.
— A focus on details and willingness to learn.
— Fluent English

Do not hesitate to apply if you are missing some specific experience. We will be happy to help you with gaining one

**Will be a plus:**
— Experience in online mobile advertising is a plus.
— Experience with Zeppelin and AWS Redshift is an advantage.

**We offer:**
— Unlimited work-from-home option
— Flexible working hours
— 3 weeks of paid vacation and 2 weeks of paid sick-period
— Long-term employment
— Challenging projects
— Covering costs of professional events and English lessons
— Opportunity to choose the equipment you like
— Various snacks, tea, coffee, and fresh fruits in the office