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Job description
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 asset is our peoplea 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
ZS’ India Capability and Expertise Centers houses more than 3,000 ZS people across three offices in Pune, New Delhi and Bengaluru. Our teams collaborate with onshore colleagues to serve our clients and their customers in the areas of business consulting, business operations, business technology and software development.
About Advanced Data Science (ADS):
ZS’s Advanced Data Science group is focused on creating practical impact for clients across various industries such as Healthcare and Bio-Tech, Hi-Tech & Telecommunication, Financial Services and Travel through advanced analytics and emerging data sources. Emerging datasets include both unstructured datasets (for example, text, voice, image, etc.) and semi-structured datasets (for example, patient-level records). Advanced analytical techniques span a range of innovative machine learning, artificial intelligence, advanced statistics and optimization approaches.
Being part of the ADS group at ZS will be an opportunity for you to work on cutting-edge solutions, utilizing new age data sources to shape innovations across multiple areas, for our clients and the broader ZS community.
Job Description
ZS pioneers in sales force and marketing analytics – applying optimization techniques to sales force and marketing investment problems. We have grown significantly and are now recognized global leaders in sales and marketing consulting.
A key enabler of our services is leveraging data in delivering client solutions. The data available about customers is getting richer and the problems that our customers are trying to answer continue to evolve. In our endeavor to stay ahead in providing solutions to these evolving complex problems, ZS has set up an Advanced Data Science which has three major focus areas:
Research the evolving datasets and advanced analytical techniques to develop new offerings/solutions
Deliver client impact by collaboratively implementing these solutions
Provide thought leadership by developing the ZS Point of View in this space
The Data Scientist will play a critical role in designing, developing and implementing analytical techniques on large, complex, structured and unstructured data sets (including big data) to help client make better decisions in sales and marketing space, with guidance from Data Science senior leadership.
Specific responsibilities include:
Client impact
Developing advanced algorithms that solve problems of large dimensionality in a computationally efficient and statistically effective manner
Implementing statistical and data mining techniques e.g. hypothesis testing, machine learning, and retrieval processes on a large amount of data to identify trends, figures and other relevant information
Collaborating with clients and other ZS stakeholders to effectively integrate and communicate analysis
findings
Providing guidance and project management support to the Associates and/or Associate Consultants on the team
Research & firm contribution
Evaluating emerging datasets and technologies that may contribute to our analytical platform
Owning the development of select assets/accelerators for efficient scaling of capability
Contributing to the thought leadership of the firm by helping in researching the evolving topics and publishing them
Qualifications:
BE/ BTech / BS (stats) from Tier-1 institute would be required.
PhD in Computer Science (OR Statistics) / MTech / MS from a premier institute would be highly preferred
Substantial experience in Machine Learning.
Knowledge of big data/ advanced analytics concepts and algorithms – text mining, social listening, recommender systems, predictive modeling, etc.
Knowledge of programming – Java/Python/R
Exposure to tools/platforms – Hadoop eco system and DB systems
Agile project planning and project management skills
Excellent communication skills
Domain knowledge/expertise (Healthcare/Travel/Hi-tech/Insurance) is preferred though not mandatory.
Approach to work
Research focused mindset with strong attention to detail
Excellent critical thinking and problem-solving skills; ability to devise a structure for solving unstructured problems / for conducting exploratory analytics
High motivation, good work ethic and maturity
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