Data Scientist

Company Description Aurinko IT Solutions Pvt. Ltd. is a Hyderabad-based deep-tech software company focused on building next-generation enterprise platforms in the B2B SaaS domain. The company develops scalable and intelligent software platforms that help organizations manage complex, large-scale data and infrastructure systems more efficiently. Aurinko specializes in enterprise-grade systems designed for modern data-driven organizations, emphasizing efficiency, scalability, and operational reliability. Founded in India with a global vision, Aurinko aims to deliver robust, future-ready platforms that support businesses worldwide in modernizing their technology environments.
Role Description The Data Scientist role at Aurinko IT Solutions Pvt. Ltd. is a full-time, on-site position based in Hyderabad. In this role, the Data Scientist will collect, clean, and analyze large datasets to generate actionable insights for product and platform development. The role involves building statistical and machine learning models, designing experiments, and validating hypotheses to support data-driven decision-making. The Data Scientist will work closely with engineering and product teams to integrate models into enterprise platforms, optimize performance, and improve scalability. Responsibilities also include creating clear data visualizations and reports, communicating findings to stakeholders, and staying current with emerging tools and techniques in data science.
Qualifications
Strong foundation in Data Science and Statistics, with the ability to apply statistical methods to real-world business problems.
Proficiency in Data Analytics and Data Analysis, including experience working with large, complex datasets.
Experience with Data Visualization tools and techniques to present insights clearly to technical and non-technical stakeholders.
Hands-on experience with programming languages commonly used in data science (such as Python or R) and libraries for machine learning and data processing.
Familiarity with databases, SQL, and cloud or distributed data platforms commonly used in modern enterprise environments.
Bachelor’s or Master’s degree in a quantitative field such as Computer Science, Data Science, Statistics, Mathematics, or a related discipline.
Ability to work collaboratively in cross-functional teams and communicate complex concepts in a clear, concise manner.
Experience in building or contributing to enterprise SaaS or data platforms is an advantage.

Work arrangement
No