ZS Recruitment 2020 For Freshers As Data Science Associate: ZS is a professional services firm that works side by side with companies to help develop and deliver products that drive customer value and company results. From R&D to portfolio strategy, customer insights, marketing and sales strategy, operations and technology, we leverage our deep industry expertise and leading-edge analytics to create solutions that work in the real world. Our most valuable asset is our people—a fact that’s reflected in our values-driven organization in which new perspectives are integral and new ideas are celebrated. ZSers are passionately committed to helping companies and their customers thrive in industries ranging from healthcare and life sciences to high-tech, financial services, travel and transportation, and beyond.
Candidates who are freshers of 2020 passed outs looking to get software job to settle in software field, so they can choose ZS company is one of the option to build future. Candidates are eligible of educational qualification can apply. It can give best salary. For more jobs you can regularly visit our site www.jobmela4u.com.
ZS Recruitment 2020 For Freshers As Data Science Associate | Pune
Company: ZS
Job Designation : Data Science Associate
Job Location : Pune
Job Location : Pune
Experience : Freshers
Education Qualification : B.E/B.Tech/M.E/M.Tech
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.
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.
Technical Qualifications:
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 ecosystem 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.
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