Data Engineering

MSc degree in Data Science, Statistics, Math, Physics, Engineering, or a similar relevant subject
3+ years of hands-on experience as Data Scientist
Experience in SQL, Python and spark
Statistical modeling experience, analytical skills and engineering skills
Ability to quickly learn new technologies, frameworks, and algorithms

• 1-2 years experience of working with Python and Spark.
• 1-2 years of experience in a similar role.
• BSc degree in computer science, electrical engineering or relevant experience.
• Strong background on ETL development, data modeling, metadata management, and data quality.
• Descent background as application DBA or similar, experience with Nosql and Cassandra or ElasticSearch a big plus.
• Strong analytical, problem-solving and interpersonal skills, have a hunger to learn, and the ability to operate in a fast-paced rapidly changing environment.

Strong experience in the Machine Learning/Data Science industry
Strong understanding and experience in distributed computing frameworks, especially in Apache Spark
Strong-level proficiency in Python and SQL
Practical experience with Data Warehousing (especially Snowflake), Deep Reinforcement Learning, and out-of-core algorithms
Good understanding of engineering best practices, agile (as it applies to Data Science), and version control
Effective collaboration with Product, Customer, and Engineering teams
At least Upper-Intermediate level of English (both spoken and written)

• At least three years of data science experience

• B.Sc./M.Sc. in computer science, engineering, mathematics, or related field

• Proficiency and experience in writing Machine Learning algorithms

• Fluency in Python and SQL

• Experience in deployment and automation of Machine Learning models in real-time environments

• Experience in leading the full-cycle data science projects

• Experience in Big Data platforms and solutions

• Self-starter, fast learner, fast worker, results-oriented with a can-do attitude

• Fluent English

Відмінні знання вищої математики, теорії ймовірностей, математичної та прикладної статистики (економетрики)
Знання SQL на рівні побудови складних запитів (що вимагають розуміння принципів побудови реляційних баз даних і вміння їх використання для оптимізації виконання запитів)
Досвід роботи більше 2-х років з Python/R (статистичні та ML пакети)
Глибоке розуміння і досвід застосування алгоритмів і методів машинного навчання
Аналітичне мислення, вміння знаходити закономірності в досліджуваних масивах даних, причини відхилень показників

• Master’s degree in Computer Science, Engineering or relevant field;
• Programming experience in C++, Python and MATLAB;
• Familiarity with software development concepts (version control, code review, continuous integration);
• Good problem-solving skills;
• English - Intermediate.

• опыт разработки ML-моделей от 2-х лет
• опыт разработки ПО на Python от 2-х лет
• уверенное знание Python
• опыт работы с Flask, Docker
• умение работать в команде

• A degree in Biomedical Engineering, Statistics, Computer Science;
• 2 year’s experience;
• Passionate for developing products to serve patients and make lives better;
• Drives towards a positive outcome as the work you will do will directly impact the standard of care worldwide;
• Entrepreneurial, independent and collaborative;
• Proficiency with Python and associated machine learning libraries such as Numpy, Pandas, Scikit-Learn, TensorFlow/Keras/PyTorch;
• Proficiency in querying Relational and Non-relational databases;
• Ability to innovate features and models beyond basic routines to meet performance objectives;
• Proficiency in implementing innovative solutions and techniques based on academic data science and machine learning literature;
• Proficiency in English and excellent written and verbal scientific communication and time management skills.

• 3+ 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 NTSdata-science frameworks.
• BSc/BA in Mathematics, Physics, Computer Science, Economics, or another related field.
• Experience with building solutions with Big Data tools and frameworks such as Spark, Hadoop, etc.
• Experience in developing machine learning oriented solutions for the financial sector - 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.
• Very good English, written and verbal.

• У вас есть опыт работы с языком программирования (Python, etc.)
• Вы имеете успешный опыт работы на должности Data Scientist;
• У вас есть опыт взаимодействия с поведенческими моделями юзеров;
• Вы анализировали большие объемы данных;
• У вас есть профильное образование (вы владеете основами математической статистики);
• У вас есть опыт работы с SQL и построением конвейеров данных;
• У вас есть опыт работы с Python for DS (Pandas, NumPy, Sklearn, SciPy, TensorFlow/PyTorch, etc.).