Data Science Engineer

The Data Science Engineer will design, build, and maintain scalable data pipelines and ETL processes, develop, train, and deploy machine learning models to solve complex business problems, collaborate with data scientists and engineers to translate business problems into data science projects, perform exploratory data analysis, write production-ready code in Python and SQL, and monitor and optimize performance of models and data pipelines in production. The role provides exposure to enterprise-scale data ecosystems, offering opportunities for professional growth while working alongside experienced data scientists and cross-functional technology teams. This position also offers exposure to enterprise-wide analytics transformation programs and the chance to influence strategic decision-making at a senior level.

Master's or PhD in Computer Science, Data Science, Statistics, or related field with 4+ years of experience in data science or data engineering. Strong proficiency in Python and SQL. Experience with machine learning frameworks and big data technologies. Any Graduate or Any Postgraduate. Excellent verbal and written communication skills are essential, along with the ability to explain complex technical concepts clearly to both technical and non-technical stakeholders. Candidates should demonstrate strong analytical thinking, attention to detail, and the ability to manage multiple priorities in a fast-paced, deadline-driven environment.