Since 2008, Flat Rock Technology has provided a wide range of innovative and complex solutions for companies of all sizes and has grown into a reliable partner. Our company operates from seven locations – London, Varna, Ruse, Amsterdam, Burgas, Budapest, Tbilisi and Costa Rica and provides software, cloud, and outsourcing services.
With more than 400 highly skilled specialists in our team, we are able to cover all phases of a solution lifecycle – from research, through implementation, to support and allow organizations to create a more cost-effective structure while focusing on their core activities.
Main responsibilities
Work across a variety of data platform technologies, including (but not limited to) SQL Server, Hadoop, ElasticSearch, and DynamoDB
Perform statistical analyses using R and Python, uncovering relationships in data and figuring out the best way to predict important customer metrics
Implement large-scale predictive models using tools such as Microsoft R Server and TensorFlow
Build microservices which feed predictions to product teams, allowing them to integrate our predictions into their workflows
Develop at every level of the modern application stack, from data transfer to statistical modeling to service development to UI
Provide feedback to and work directly with the Microsoft SQL Customer Advisory Team (SQLCAT) and various Microsoft program managers
Requirements
2+ years of experience in a data-related field, such as database administrator, database engineer, data analyst, statistician, or data scientist
Graduate-level knowledge of statistics
Experience with the entire data science lifecycle
Familiarity with either R or Python, particularly around data cleansing and modeling packages
Strong background in statistics and machine learning, as well as some familiarity with a broad base of data platform technologies
What we offer in return
Competitive salaries based on performance reviews with additional benefits
Working on interesting international projects with latest technologies
Opportunities for professional growth and career development
Challenging work in a fast-growing international organization
Dynamic work environment in young team
Additional health insurance package
Modern offices around the world
Birthday vouchers
Opportunity for sport card
Entertainment spaces, teambuilding events, parties, and participation in different events
Fresh fruits, beverages in the office
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