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Úta Science Consultant (NLP)

Japan • Posted: 2022-03-09 • 2 Views

Job Overview & Requirements

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. ZS's Business Consulting group partners with clients to design and deliver solutions to help them tackle a broad range of business challenges. Our teams work on multiple projects simultaneously, leveraging advanced data analytics and problem-solving techniques. Our recommendations and solutions are based on rigorous research and analysis underpinned by deep expertise and thought leadership. 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 Science Consultant 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 Use machine learning, data mining, statistical techniques and others to create actionable, meaningful, and scalable solutions for the business problems Collaborating with clients and cross functional teams to develop & deploy the data science solutions effectively & communicate the analysis findings Providing guidance and project management support to the Associates and/or Associate Consultants on the team Key Competencies Have a strong understanding of Natural Language Processing and a genuine appreciation for NLP research. Exposure in creating lexical semantic resources for NLP-based applications. Experience in applying ontologies to NLP applications. Experience in Social Media, Web 2.0, and Marketing domains. Understand the data from various sources and build models that can provide actionable insights Knowledge of big data/ advanced analytics concepts and algorithms – text mining, social listening, recommender systems, predictive modeling, etc Strong programming skills in at least one language – 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 Qualifications: Bachelor's (and often graduate) degree in a quantitative, analytical discipline, such as Operations Research, Applied Mathematics, Management Science, Data Science, Statistics, Econometrics, or Engineering would be required with 6-8 years of experience [OR] PhD in Computer Science (OR Statistics) / MTech / MS from a premier institute would be highly preferred with 5-7 years of experience 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 ZS is a global consulting firm. Fluency in English and the local office language is required. Candidates must possess work authorization for their intended country of employment. An on-line application, including 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. We are an Equal Employment Opportunity Employer. NO AGENCY CALLS, PLEASE.
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Job Summary

Category Vacant
Country Japan
Employment Type Full Time
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