Data Science Specialist

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Job Summary

ZS's Insights & Analytics group

Key Responsibilities

• Support the development and testing of analytical and statistical models under senior guidance.
• Apply hypothesis testing, regression, and simple machine learning methods to solve structured data problems.
• Clean, transform, and visualize datasets using Python and basic BI tools.
• Assist in feature engineering, model validation, and documentation of analytical workflows.
• Collaborate with senior consultants to prepare reports and dashboards for client presentations.
• Explore and document emerging data sources and technologies relevant to ongoing projects.

Required Skills and Qualifications

• Bachelor’s or Master’s in Computer Science, Statistics, Data Science, or a related quantitative field.
• 1–2 years of experience in data analytics or applied statistics.
• Proficiency in Python or R for data processing and visualization.
• Understanding of machine learning fundamentals, data wrangling, and exploratory analysis.
• Familiarity with SQL and basic data pipelines.
• Exposure to cloud environments (AWS or Azure) and Git version control.
• Strong analytical thinking and eagerness to learn from senior mentors.

Preferred Qualifications

• Experience fine-tuning generative models and integrating classic AI techniques.
• Prior leadership experience and a record of mentoring junior colleagues.
• Domain expertise in healthcare, transportation, technology, insurance, or related sectors.