Manager - Data Scientist

Support the development of ML models and analytics for network insights.

Key Result Areas/Accountabilities:

• Perform EDA and build baseline ML models.
• Implement supervised/unsupervised methods.
• Support feature engineering and evaluations.
• Contribute to log/text classification models.

Core Competencies, Knowledge, Experience:

• ML fundamentals: regression, classification, clustering.
• Basics of anomaly detection & time-series.
• Python, SQL, statistics, exposure to DL.
• Must have 1-2 years of experience.

Must have technical / professional qualifications:

• Bachelor's or master's degree in computer science, engineering, or related fields from premier institutions (IITs, NITs, BITS, or equivalent Tier-1 colleges).