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Join the innovative and expanding team at Unity-Aura, a groundbreaking large-scale mobile platform that serves a wide variety of content, including news articles, games, videos, and more. We are seeking a motivated and detail-oriented Quality Assurance Engineer to ensure our content discovery platform delivers a seamless experience to millions of users. At Unity, you will be part of a dynamic team that combines Android development, backend services, and machine learning into a unified, complex system. This is an ideal role for individuals eager to make a substantial impact on a technically challenging product in a fast-paced environment.
What you'll be doing
Collaborate closely with software engineers, product managers, business intelligence, and UI/UX designer teams to define and execute test plans and cases.
Participate in the development lifecycle, from requirements analysis to post-deployment verification.
Conduct regression, functional, performance, and usability testing.
Perform exploratory testing to ensure a seamless user experience across multiple devices and platforms.
Stay updated with the latest QA methodologies, tools, and best practices.

SuperSonic is looking for a passionate Senior Data Scientist to develop and deploy sophisticated user-level models and real-time online learning systems. In this role, you'll work end-to-end on building personalized predictive models that adapt as user behavior evolves, enabling dynamic decision-making. Your work will directly impact user experience, drive revenue growth, and enhance data-driven decision making across the organization by transforming how we understand and respond to individual user patterns in real time. You will be handed with a business problem and will be asked to provide an end to end solution - Unpack and thoroughly understand the business problem, define the strategy to deal with it and research, develop & deploy your solution along with relevant support.
What you'll be doing
Design and implement end-to-end solutions from business needs all the way to live deployment
Monitor and own models in production
Model, design, and implement machine learning and data mining algorithms that will impact millions of users.
Perform deep data analysis to evaluate performance and recommend improvements
Help, guide and support our business partners to allow for scale and accuracy while adopting your solutions