Overview
Omilia is an international company with offices in Athens, in Kyiv, in Crete, in Prague. Our customers are big contact centers all over the world, from USA, Canada, Spain, Poland, Ukraine, Kazakhstan, Belarus, Greece, South Africa, a.o. In Ukraine, our implementations have no competitors, so you will have a great opportunity to become a part of our progressive team!
We are looking for a Data Scientist to assist in creating our own home-based Artificial Intelligence and Machine Learning products.
REQUIREMENTS:
▪ 2 years experience in a similar role
▪ Knowledge of Python libraries like sci-kit-learn, pandas, NumPy, nltk
▪ Knowledge of Machine Learning techniques and algorithms (classification, clustering)
▪ Experience in the field of Natural Language Processing
▪ Knowledge of Relational Databases and SQL
▪ Basic Knowledge of Software Engineering
▪ Creative thinking and ability to take ownership overwork
▪ Problem-solving aptitude, analytical mind
▪ Good communication skills
NICE TO HAVE:
▪ Experience with Distributed Frameworks like Apache Hadoop and Apache Spark
▪ Experience with Deep Learning Frameworks like PyTorch and Tensorflow
▪ Experience with Graph Databases like Neo4J
BENEFITS:
▪ Attractive compensation package
▪ Salary will be fixed in US Dollars
▪ Work From Home policy applicable
▪ Healthcare plan
▪ Parking slots near the office
▪ Paid leaves
▪ English language courses
▪ Apple gear
▪ Development in professional growth (courses, training, Udemy business account)
▪ With Omilia, you will work within a great team of likeminded young people, working hard and enjoying every bit of it, delivering disruption in how consumers communicate with organizations all over the world!
▪ With Omilia, you will be able to travel to Greece for team buildings at our amazing HQ offices!
RESPONSIBILITIES:
▪ Work with Categorical and Text Data
▪ Analyze data to discover patterns and outliers
▪ Develop machine learning algorithms according to business requirements
▪ Work with Graph Databases
▪ Take initiatives and actively participate in enhancing our tools, solutions & technology stack
▪ Speak with internal stakeholders to find new areas of research
▪ Collaborate with Engineering and NLU Teams
