Data Scientist

Role Overview

Design and implement anomaly and pattern detection algorithms, develop predictive analytics models, automate data monitoring processes, and conduct data forensics investigations.

What You Will Do

Write scalable, production-ready code, ensure model reliability, efficiency, and maintainability, and continuously refine analytical models and detection mechanisms.

Why It Might Be a Fit

Possess a foundation in statistics and machine learning concepts, experience with automation scripting and workflow optimization, and familiarity with containerization tools and high-performance databases.

Requirements

• Bachelors Degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field
• Minimum 1–2 years of hands-on experience in data science, analytics, or a data-intensive engineering role
• Proficient in Python, with experience using libraries such as Pandas, NumPy, and Scikit-learn for data manipulation, analysis, and modeling
• Possessed SQL skills, including complex joins, window functions, CTEs, and large-scale data transformation
• Foundation in statistics and machine learning concepts, including regression, classification, clustering, and outlier detection techniques
• Experience with automation scripting and workflow optimization is required
• Familiarity with containerization tools (e.g., Docker), high-performance databases (e.g., ClickHouse), AWS environments, or local AI models is an added advantage