Ivy May 25, 2016 No Comments
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>>Advanced Data Scientist, Gurgaon
>>Data Scientist, Bangalore
>>Excel data Analyst,Mumbai.
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ZS Associates
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 track 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
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 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 on the team
Research and 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
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
· High motivation, good work ethic and maturity
KPMG Global Services Private Limited
Translate business objectives into analytic approaches, and identify data sources to support analysis.
Analyze and model structured data using advanced statistical methods
Perform exploratory data analyses, generate and test working hypotheses, prepare and analyze historical data and identify patterns.
Analyze data using SAS, R, Python, Java, open source packages and commercial/enterprise applications.
Perform machine learning, text analytics, and statistical analysis methods, such as classification, collaborative filtering, association rules, sentiment analysis, topic modeling, time-series analysis, regression, statistical inference, and validation methods.
Implement algorithms and software needed to perform analyses
Drive client engagements focused on Big Data and Advanced Business Analytics, in diverse domains such as product development, marketing research, public policy, optimization, and risk management.
Interface with databases (SQL, NO SQL, HDFS) to extract, transform and load data
Communicate results and educate others through reports and presentations.
Functional/Technical Skills:
Ability to break down complex problems, and develop strategies to solve them
Strong mathematical background with ability to understand algorithms and methods from a mathematical viewpoint and an intuitive viewpoint.
Expertise in at least one of the following fields: machine learning, data visualization, statistical modeling, data mining, or information retrieval
Develop and apply machine learning, and statistical analysis methods, such as classification, collaborative filtering, association rules, time-series analysis, advanced regression methods and hypothesis testing
Strong data extraction and processing, using NoSQL, MapReduce, Pig, and/or Hive preferred
Experience with command-line scripting, data structures and algorithms
Ability to work in a Linux environment, and process large amounts of data in a cloud environment
Proficiency in analysis (e.g. R, SAS) packages, and programming languages (e.g. Java, Python, Ruby)
Axience
Bachelors or Masters graduates from reputed colleges with top 10% academic performance
Candidate must have academic excellence through at least one of the following:
Support the delivery team within the financial and business research department in various projects. The ideal candidate to have the following skillsets:
8. Company: Axience
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These Jobs have been researched from the jobs posted on the web for Ivy Alumini only.
Reference:
Analyticsindiajobs
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