Вакансії Data Scientist / Machine learning Engineer

GR8 Tech is a global product company that provides innovative, scalable platforms and business solutions for the iGaming industry. We have а great experience: GR8 Tech platform successfully handles millions of active players and offers best practices to develop and grow in the gambling industry.
We develop complete tech coverage for gambling businesses worldwide, including iGaming platform solutions, consulting, integration, and long-lasting operation services.

About your key responsibilities and impact:

• Formulating hypotheses regarding the requisite data types, actively seeking, and procuring said data from pertinent sources;
• Collaborating with subject matter experts across various sports domains to validate hypotheses, discerning impactful factors, and selecting algorithms tailored to specific scenarios;
• Engaging in the coding process, encapsulating the constructed model within functional code for validation purposes;
• Crafting solutions utilizing Python or the .Net stack, providing detailed algorithmic descriptions, and disseminating them to fellow developers for implementation.

Essential professional experience:

• Strong knowledge of SQL (various dialects), experience with MongoDB as a plus;
• The ability to retrieve data from other sources, such as parsing (e.g., Selenium), and some experience with Kafka is preferred;
• Strong statistics knowledge is key;
• Experience with the development of ML models (image processing, pattern recognition, and similar);
• Knowledge of Python and its libraries (NumPy, Numba, and multithreading), and experience with .Net are preferred, but not mandatory;
• Upper-Intermediate English level.

Desirable skills and personal features:

• Experience in the sports betting industry is a plus.

Our team comprises sports modelling experts and data science technologists, coming together to develop innovative DS products that deliver incremental value on the Sportsbook platform at DraftKings.

As part of this role, you will be a creative thinker, utilizing data, machine learning, and software development skills to craft high-impact best-in-class sports models that grow the business.

What you'll do:

• Research and implement DS applications in Python
• Create statistical and machine learning models and integrate them into DS applications
• Work with and help develop our MLOps pipeline
• Data engineering of data assets to assist in DS application development
• Writing production quality code to deploy and run models in a sportsbook
• Create automatic tests to ensure accuracy and reliability of DS applications
• Collaborate closely with product, developers, QAs and delivery leads to move projects from ideation to development and deployment
• Test that data flows work as expected and that DS applications are well integrated in larger business context
• Build advanced analytics tools for sportsbook product teams
• Coach and support more junior data scientists within the team.

What you'll bring:

• Ideally, you have experience as the expert on a data science team where you were responsible for all aspects of data science technical projects, including development and deployment, and then monitoring of how those applications perform in production
• PhD, Masters or Bachelor’s degree in STEM fields
• Highly proficient in at least one programming language, ideally Python, with a strong understanding of object-oriented programming principles
• Understanding of different database technologies, including relational and non-relational databases
• Experience implementing ML automation, MLOps principles and related tools
• AWS experience will be considered an asset
• Experience with typical DevOps flows, such as containerisation (e.g. Docker) and monitoring (e.g. ELK, Grafana)
• Experience with Kubernetes and Kafka are very desirable
• Knowledge of web frameworks (e.g. Flask, Django) and HTTP APIs desirable
• Keen interest in sports
• Understanding of Sportsbook products will be considered an asset
• Experience leading and coaching other data scientists
• Excellent communication & organizations skills with the ability to articulate key business information quickly and effectively.