Data Scientist

Wanted: Data Scientist for a Data & AI company in the Central area. This is a very rewarding full-time and Hybrid position.

The chosen candidate will build and deploy advanced machine learning and statistical models to extract actionable intelligence from complex, high-velocity datasets. Working alongside an elite engineering team, this role offers an exceptional opportunity to tackle high-impact algorithmic challenges and influence core platform capabilities. The position provides immediate real-world ownership by transforming massive data pipelines into scalable, production-ready AI solutions within a fast-paced environment.

Job Responsibilities:

● Design, develop, and deploy end-to-end machine learning algorithms and predictive models to solve complex analytical problems.

● Collaborate closely with data engineering and product teams to integrate models into robust, scalable production architectures.

● Conduct comprehensive exploratory data analysis, advanced feature engineering, and hypothesis testing on high-dimensional data.

● Continuously monitor, benchmark, and optimize model performance, accuracy, and inference latency in production.

Job Requirements:

● 6+ years of hands-on industry experience as a Data Scientist delivering machine learning solutions into production.

● Strong proficiency in Python and core data science libraries/frameworks (such as pandas, NumPy, scikit-learn, PyTorch, or TensorFlow).

● Proven track record of working with complex datasets, advanced statistical modeling, or time-series analysis.

● Strong foundational knowledge in mathematics, probability, algorithm design, and complex SQL data extraction.

● B.Sc. or M.Sc. in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative discipline.