Advanced Data Science Associate Jobs in Gurgaon & Noida 2025!!!
ZS has announced a job vacancy for the post of Advanced Data Science Associate. The place of posting will be at Gurgaon & Noida. Candidates who have completed Graduate / Engineering / Post Graduate with Fresher / Experience are eligible to apply. More details about qualifications, job description, and roles & responsibilities are as follows:
Company Overview
| Name of the Company | ZS |
| Required Qualifications | Post Graduate |
| Skills | Big data, advanced analytical concepts, and algorithms |
| Category | Insights & Analytics – Advanced Data Science |
| Work Type | Onsite |
ZS’s Insights & Analytics group works with clients to design and deliver solutions that address complex business challenges. The team leverages advanced data science jobs in India 2025, machine learning, and analytics to provide insights, develop strategies, and create business impact.
Job Details
Θ Positions: Advanced Data Science Associate
Θ Job Location: Gurgaon & Noida
Θ Salary: As Per Company Norms
Θ Job Type: Full Time
Θ Requisition ID: 21861
Roles and Responsibilities:
- Design and implement advanced, statistically efficient algorithms for large-scale data challenges.
- Apply data mining, predictive modeling, hypothesis testing, and machine learning techniques to identify business trends.
- Collaborate with clients and ZS stakeholders to present actionable insights and strategies.
- Explore new datasets, big data platforms, and technologies to strengthen analytical capabilities.
Required Skills & Qualifications:
- Master’s degree in Computer Science, Statistics, or related fields.
- Strong academic background with a focus on quantitative and analytical skills.
- Knowledge of big data and predictive analytics careers in India (text mining, recommender systems, social listening, etc.).
- Proficiency in at least one programming language (Java/Python/R).
- Familiarity with Hadoop ecosystem, AWS, or large-scale database systems.
- Strong written and verbal communication in English.
Perks & Benefits:
- Comprehensive health and well-being programs.
- Financial planning support and annual leave benefits.
- Continuous professional growth through skill development programs.
- Career progression opportunities and internal mobility.
- Flexible work model combining onsite collaboration with remote work.
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