About Company:-
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. We leverage our deep industry expertise, leading-edge analytics, technology and strategy to create solutions that work in the real world. We are passionately committed to helping companies and their customers thrive.
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Company Name:- ZS India
Company Website:-www.zs.com
Job Position:-Data Science Associate
Location:-Pune, India
- 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 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.
ZS is a global consulting firm; fluency in English is required, additional fluency in at least one European or Asian language is desirable.
Candidates must possess work authorization for their intended country of employment. An on-line application, including a cover letter expressing interest and a full set of transcripts (official or unofficial), is required to be considered.
ZS offers a competitive compensation package with salary and bonus incentives, plus an attractive benefits package.
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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