Data Scientist
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ABOUT US
edrone is an Autonomous eCommerce Cloud and the first eCRM designed for
eCommerce. We provide advanced Marketing Automation solutions, based on our
algorithms, that are easy to install (Plug'n'Play). Our goal is to help to understand
customer’s behavior (Customer Intelligence) and engage them (Marketing
Automation) with an all-in-one e-commerce marketing cloud.
We're a hard-working, fun-loving, get-things-done type of team that is building a
platform that helps increase client’s online sales. We know how much grit it takes to
start your own business and grow it into something that lasts. We roll our sleeves up,
we act fast, and we learn together. We're looking for people that will do the same.
Our Values:
● Ownership & impact
● Staying focused and fast-paced
● Permission to fail and learn a fast lesson from it
● Don't seek excuses
● Be aware of your goal
● Reverse planning
● Information culture & bandwidth
● Radical candor
● No blame culture
● Curiosity & open mind
Clients we are working with:
We work with eCommerce businesses of all sizes and segments. Currently, we are
focusing our operation on CEE and LATAM markets, with the goal of expanding to
new markets. In our customer portfolio you will find companies like; Xiaomi,
Timberland, Converse, Husqvarna, x-kom, Leifheit, Muve, Ryłko, Tous, Sneaker
Peeker, Sneaker Studio and over a thousand others.
Interesting technical challenges:
- Scalability - we ingest “tons” of data that must be processed near-real time. Traffic patterns change constantly and we have to adapt dynamically. We rely on horizontal partitioning and auto-scaling a lot.
- Reliability - uptime, latencies, queue processing delays - we live and breathe by these metrics. We assume machines, disks, network and software will fail. Our approach is resilience engineering and automation.
Other tech we use:
AWS (25+ services) Java 11, git, JIRA, Confluence, WebStorm, PhpStorm, IntelliJ, Redis, Hadoop, Spark
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REQUIREMENTS
Skills - required:
- Experience in Python
- Data Science
- the ability to present the results transparently and clearly
- focus on giving value to business
- knowledge of A/B tests
- SQL
- experience in both Relational and NoSQL databases
- ability to perform complex selects
- preferably MySQL and DynamoDB
- Machine Learning
- knowledge of ML algorithms for recommendations, classification, regression, forecasting, clustering and when to use a given model
- Practical knowledge of GIT
Skills - nice to have:
- Experience in deploying and maintaining ML models in production
- AWS (Athena, S3, SQS, Lambda, RDS, DynamoDB, QuickSight)
- Java
- Basic knowledge of data processing pipelines
- PySpark, EMR, Hadoop
- Some experience with web development in Python ecosystem, e.g. Flask
- Deep Learning experience with TensorFlow, PyTorch
- Exposure to Continuous Integration/Continuous Deployment Environment
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BENEFITS AND PERKS
- Competitive salary
- Employment contract or b2b contract
- Individual career paths
- Trainings for employees
- Work in a friendly, dynamic team of passionate professionals
- Work in a modern, well-equipped office or remote job
- Benefits for employees - MultiSport Plus and Private Medical Care, English & Polish course, Yoga, Volleyball, Webinars, Trainings, Team building events.