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Cross Source | София
8 юни
Обявата е публикувана в следните минибордове
  • Sofia, Bulgaria
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    What will be your role?

    • Work within the data science team to develop, test and deploy data science products to production.
    • The data science teams’ primary responsibilities are to create data science products to be used within our existing architecture. These products include our live trading models for sports and automated customer profiling for the sportsbook.


    • Ensure flawless information flow between different computational units
    • Optimise existing data science architecture and code for better efficiency and scalability
    • Minimise downtime of mission critical components
    • Ensure quality of production code is at a high level and has sufficient metrics and logging
    • Support and improve CICD processes and automation


    • Excellent competency in Python in particular: performant design principles (eg. parallelisation), a typical data-science style stack (eg. numpy, pandas) and web application frameworks (eg. flask, fastapi)
    • Competency in C# or other OOP language
    • Familiarity with GCP, AWS and cloud-based tools
    • Familiarity with mathematical optimisation
    • Familiarity with automation testing frameworks and concepts
    • Familiarity with UI tools
    • Understanding of version control concepts
    • Knowledge of Kafka and Kubernetes
    • Excellent communication & organization skills with the ability to articulate key business information quickly and effectively.

    Behavioral Competencies:

    • Effective collaborator – individual works with others within the team and the wider organisation, whilst communicating effectively across a range of channels and audiences
    • Strategic mindset – individual takes a long-term view and anticipates future trends and implications
    • Business insight – individual understands the business and the problems it faces
    • Innovative – individual always looking for new opportunities that will grow the business

    Nice to have:

    • Dev-Ops experience
    • Any understanding of data science and statistical modelling principles