ZS Associates Off Campus Drive 2021 | Freshers | BE/ BTech/ ME/ MTech |Data Science Associate| Bangalore | Sep 21 | Apply Online ASAP

Company: ZS Associates India Pvt Ltd
ZS Off Campus Drive 2021: ZS Associates is one of the world’s largest business services firms specializing in transforming sales and marketing from an art to a science. We help clients gain market share at lower cost. We do so by creating data-driven strategies that they can implement rapidly and by taking on sales and marketing operations to make them more competitive.

With more than 3,000 professionals in offices around the world, we have worked with more than 1,200 companies in 70 countries across consumer products, energy, high-tech, insurance, medical products and services, pharmaceuticals and other industries.

Company Website: www.zsassociates.com

Position: Data Science Associate

Experience: Freshers (Entry level/ recent graduates)

Job Location: Bangalore

Salary: Best in Industry

Eligibility :

• Bachelor’s or master’s degree in Computer Science (or Statistics), and strong academic performance with analytic and quantitative cousework is required;
• Knowledge of big data/advanced analytics concepts and algorithms (e.g. text mining, social listening, recommender systems, predictive modeling, etc.);
• Knowledge of programming (e.g. Java/Python/R);
• Exposure to tools/platforms (e.g. Hadoop eco system and database systems);
• Excellent oral and written communication skills;
• Strong attention to detail, with a research-focused mindset;
• Excellent critical thinking and problem solving skills;
• High motivation, good work ethic and maturity.

Job Description:

Data Science Associates (DSAs) design, develop and execute high-impact analytics solutions for large, complex, structured and unstructured data sets (including big data) to help clients make better fact-based decisions.

Job Responsibilities:-

• Develop advanced algorithms that solve problems of large dimensionality in a computationally efficient and statistically effective manner;
• Execute statistical and data mining techniques (e.g. hypothesis testing, machine learning and retrieval processes) on large data sets to identify trends, figures and other relevant information;
• Collaborate with clients and other ZS stakeholders to effectively integrate and communicate analysis findings;
• Contribute to the evaluation of emerging datasets and technologies that may contribute to our analytical platform

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