Location : Noida/HyderabadJob Description:We are seeking an experienced Data Scientist with a strong focus on Recommender Systems. In this role, you will be responsible for designing, developing, deploying, and monitoring of advanced recommender systems that cater to our diverse user base.Key responsibilities:
- Design and develop algorithms to deliver tailored recommendations to our user base.
- Improve the efficiency and scalability of recommendation systems to handle large volumes of data and ensure fast response times.
- Conduct rigorous A/B testing to validate and iterate recommender models.
- Efficiently handle and integrate data from various sources, including APIs, databases, and Google Analytics.
- Collaborate with cross-functional teams across data and engineering to produce solutions to complex problem statements.
- Continuously monitor system performance, troubleshoot issues, and implement improvements/optimizations.
- Create and maintain dashboards that provide actionable insights.
- Stay updated with the latest trends and advancements in recommender systems.
Required Skills and Qualifications:- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Strong proficiency in Python, with extensive experience in PyTorch and/or TensorFlow.
- Proven experience in managing and analysing large datasets.
- Solid understanding of relational and NoSQL databases.
- In-depth experience with Retrieval, Ranking, Batch, Live and Sequential recommendations.
- Knowledge of architectures for recommenders such as Two-Tower, DLRM, DCN.
- Experience with NVIDIA Merlin, TensorFlow Recommenders, NVTabular.
- Experience with unit and integration tests (Pytest) and CICD pipelines.
- Experience with data versioning, model management, experiment tracking.
- Familiarity with key recommender metrics and optimization techniques.
- Extensive knowledge and hands-on experience in Docker.
- Excellent problem-solving, analytical, and communication skills.
Nice to Have: - Experience with distributed computing - Spark and / or Dask, or other technologies.
- Experience with Azure services such as ML Studio, Data Factory, Functions, Blob Storage (or any other cloud provider equivalent services).
- Knowledge of AWS (Amazon Web Services) services, especially EC2 and S3.
- Familiarity with Data Validation tools (Great Expectation, ...)
- Experience with A/B testing, and knowledge of associated metrics.
- Experience in integrating and using Google Analytics data for recommender systems.
- Experience with distributed training of recommender systems.
What we give you in return: - We offer a highly competitive salary.
- A detailed company training on highest standards.
- A chance to work in friendly and supportive culture.
- Tremendous growth opportunities in a large fast moving international company.
About us: ARRISE powers Pragmatic Play, a leading supplier of player-favourite content to the iGaming industry. We are a software development and services company delivering end-to-end digital solutions. Headquartered in Gibraltar with offices around the world, including Malta, Romania, India, Canada, and Bulgaria, we are a global team of over 4,000 talented individuals with decades of experience across multiple industries and professions. Together, we form a cross-functional powerhouse that is driven to deliver. If you are a passionate and self-driven Data Scientist, we would love to hear from you. Join us at ARRISE powering Pragmatic Play and contribute to the development of cutting-edge gaming solutions that redefine the iGaming experience. To apply, please submit your resume detailing your relevant experience and interest in the position.
