Position: Data Scientist
Company: INCOAlliance
Category: Data Science
Experience required: 2y
English level: upper

Requirements:
2+ years of experience as a data scientist.
Experience in defining and implementing feature engineering processes for ML based products.      
Experience in writing code in Python (and Pyspark) and using Python data-science frameworks.
Experience with building solutions with Big Data tools and frameworks such as Spark, Hadoop, etc. -advantage
Experienced with machine learning framework such as Sklearn - a must, TensorFlow/Keras - advantage
Experience with NLP - an advantage.
Experience with Graph Algorithms - an advantage. 
Great communication skills.
Ability to quickly learn new technologies, frameworks, and algorithms.Good English, written and verbal.

Responsibility: 
Develop ML focused solutions for the financial sector using frameworks such as Spark, MLflow, Airflow, etc. in cloud native environments.
Design and implement methods to assess the quality of unsupervised and semi-supervised results with key metrics as well as thorough investigation. 
Participate in research and technology innovation to develop more efficient and automated ways to handle ML/DL workloads.
Participate in new product/feature definitions and implementation.
Work mostly with Python/Spark on Kubernetes environments.

We offer:
Сompetitive compensation based on your skills and experience.
24 days of annual paid vacation and 5 sick leaves.
Exciting project involving the newest technologies.
Accounting as a service.
Flexible working hours.
Long-term employment.