Position: Data Scientist
Company: SysGears
Category: Data Science
Experience required: 1y
English level: upper
Published: 2021-01-01T00:00:00+02:00

Required Skills:

Strong mathematics and statistics background
Expertise in domain problem exploration and data modelling
Knowledge of various data structures, common methods in data transformation, machine learning models and algorithms, time series analysis
Track-record of independent learning and technical problem-solving (2+ projects)
Strong interpersonal, analytical, and data-driven decision-making skills to collaborate with teams of Big Data & Software Engineers on successful project execution
Excellent communication and presentation skills
Upper-intermediate level of English (both written and spoken)

Nice to have:

Knowledge of one or more programming languages (Python, Java, Scala, R, etc.)
Experience with Relational (PostgreSQL, MySQL, MS SQL) and NoSQL Databases (MongoDB, Cassandra, Neo4j, HBase, etc.)
Experience with message brokers (Kafka, RabbitMQ, ActiveMQ, etc.)
Experience with cloud BigData Solutions (AWS Redshift / Kinesis / ES / etc, Google BigQuery / BigQueryML / etc)
Degree in computer science, statistics, mathematics, engineering
Expertise in designing distributed, real-time data processing pipelines

Responsibilities:

Work closely with domain stakeholders to construct models that drive business goals
Work closely with software engineering teams to develop prototypes and production-ready software products
Design & implement components that are part of successful commercial products

Benefits:

Individual career path in software product development
Opportunity to work on software products for US and EU markets
Competitive compensation depending on your experience and skills
Compensation for professional certification, IT conferences, and events
Flexible working hours (start and finish your workday when you want)
You can decide at any time whether to work remotely or at the office
We will provide any hardware you would like (Mac or PC, other devices)
Individual and group English classes with native speakers through Zoom
Unforgettable corporate events and holiday celebrations
Pizza Fridays and super friendly team.