Data Science Engineer

Published on Aug 03, 2021

A Product company with office in Kyiv, Ukraine.

Experience:

1-3 years

Job Type:

Full-Time

Remote

Specializations:

Data Engineering

Deep Learning

Data Science & AI

What You Will Do Responsibilities

What You Should Bring

Must-have

Work experience: 3+ years
Strong expertise in:
Machine Learning and Data Science
Statistics (probability distribution, hypothesis testing)
Classical ML algorithms (Linear Regression, Decision Trees, SVM, Clustering, etc.)
MLOps (BentoML, Docker, Kubernetes, KubeFlow, KNative)
Python (PyTorch or Tensor)
General programming skills (OOP, OO design, MVC, Design patterns)
Solid understanding of ML/DS processes (from data preparation to model deployment)
Proven portfolio of successful projects
Participation in team projects
Good verbal and written communication English skills (Upper Intermediate level)
Experience in data extraction, cleansing, and preparation for ML training and test data sets
Experience in analysis of structured and unstructured / semi-structured data (e.g. raw text, json, xml)
Statistical Analysis & Modelling experience
Good knowledge of Predictive Modelling, Regression and Classification techniques
Good knowledge of Deep learning tools and techniques
Understanding and knowledge of Natural Language Processing (NLP) applications
Any BigData platform knowledge and/or experience (Apache Spark, Hadoop, Hive etc)

Nice-to-have

Hackathons/Kaggle experience
Data Visualisation (e.g. using Python, Tableau, R Shiny)
Hands on experience developing with relevant Python toolkits
Experience with:
C# and .Net
Go, Scala
DataRobot, Chatterbox Labs, Google ML, Ludwig
Working with sensitive data
Desirable Data Engineering skills
General knowledge of enterprise data architecture and data modelling
Relational database modelling including transactional systems and data warehousing
NoSQL databases e.g. MongoDB, Cassandra, Elasticsearch, Graph databases
Experience working with Unix command line and shell scripting
Cloud Architecture or Engineering experience with emphasis on data and analytics services
Relevant certifications in Microsoft Azure or AWS
Knowledge of deployment specifics of ML models in CI/CD
Hands-on experience with microservice architectures and containerisation (e.g. Docker and Kubernetes)
Experience developing and working with REST APIs

What You Will Get Benefits

Medical Insurance;
20 working-days paid vacation and other social benefits;
Mid-year and annual performance review with a constructive feedback and development plan;
Continuing education/training;
Free access to global online educational platforms;