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Companies in 26 countries worldwide approach us to assemble a Dream Team of specialists who best fit their individual needs.
24 березня 2017
Data and machine learning engineer (вакансія неактивна)
Необхідні навички
— Bachelor’s degree in Computer Science or equivalent
— 5 years of experience in Software development focused on ETL or Machine learning pipelines
— Experience in Python, Java, MySQL, and Scala a plus. Experience writing production quality, performant code
— 2+ years of exposure to machine learning algorithms, probability statistical methods
— Strong understanding of common machine learning concepts involving feature selection, feature engineering, accuracy/error measures, cross validation, and other machine learning issues of over fitting etc.
— Strong knowledge in Data extraction, cleansing, transformation and merging processes
— Fluent English
Буде плюсом
— Experience with recommendation engine
— Good API development skills
— Experience with Spark, Kinesis and Hadoop ecosystem
— Experience with automation
Пропонуємо
— Visibility for all teams into the data they need to do their job well
— Building scalable and flexible systems to cater to continuous business improvement and growth
— Writing clean, monitorable and maintainable code
— Setting realistic estimations and meeting deadlines
— Following up after deployments & analyzing system metrics to ensure that the systems work as intended
— Collaboration and effective communication
— Automation — we are looking for leverage here
— Influencing outcomes. Thinking big. Being paranoid. Speaking UP
Обов’язки
— Design and develop Large-scale machine-learning infrastructure to power our various machine learning models
— Design and develop Real time machine learning pipelines to support real time recommendations and personalization of our various platforms
— Develop Data marts for complex Analytical models around heterogeneous data sets of Clickstream data and OLTP systems and other external data sources in our Data warehouse
— Collaborate with Data scientists and be able to talk their language when thinking of product-ionizing a given machine learning pipeline
— Act as bridge between engineering and data science to apply expertise on both spectrums in building end to end
— Machine learning systems that are scalable and performant
— Ability to learn quickly and teach your peers
Current Stack:
— Infrastructure mostly hosted on AWS with some external supporting services
— Talend built Java ETL pipelines
— Amazon Redshift (moving to Snowflake)
— MySQL, MongoDB, RethinkDB, S3 and Redis
— Development environment built with docker
Про проєкт
Our company is the leading online marketplace for buying and selling like-new women’s and kids’ clothing. To date, we’ve raised $125 million from top-tier investors.
Our mission is to inspire a new generation of consumers to think secondhand first.
Company is growing rapidly, and has built a world-class team that includes investors and executives from Netflix, Virgin, DVF, GAP and Sephora.
About the Role:
We’re looking for a Data Engineer to help us design and build out our data infrastructure. We have web data, e-commerce data, email data, crm data and more.
Your job will be to help us bring those sources together into a data warehouse (probably using Redshift) and enable all our teams to have better data visibility to do their job.
You’ll work closely with our Data Science team to help build out the infrastructure they need. There will also be integration work to connect different systems in a reliable way so that every team has what they need.
Finally, our data storage infrastructure will be yours to manage and help optimize
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