Vp/Sr Manager - Data Scientist ( Analytics)
Our Client :
- Our client is a leading global consultancy that advises organizations worldwide on issues of strategy, organization, operations and technology. It is one of the premiere advance analytics and digital advisory firm.
Role :
Based out of Gurgaon, you will be a part of a growing data sciences team and be hands on with the advance analytics techniques. Some of your key responsibilities will be :
- Help build intellectual property in the form of models, approaches, code, and written materials to support our client work and development.
- Work directly with client service teams (CSTs) globally within the Operations Practice, driving analytics assessments.
- Provide domain knowledge and expertise when relevant.
- Create valuable, transformative business strategies.
- Use statistical techniques like segmentation, clustering, linear regression, logistic regression, time series forecasting to derive meaningful insights from data.
- Be proactive and entrepreneurial in identifying new problems that can be solved through analytics.
- Build intelligent systems such as recommendation engines to leverage the large amount of data.
- Use machine learning techniques to solve complex business problems.
- Assist in identifying techniques and technology requirements to develop capabilities.
Successful Applicant :
As a successful applicant you should have :
- PhD/Masters or degree in engineering, math, statistics or relevant quantitative discipline from Tier 1 Institute like IITs/IIMs/NITs/DSE/ISI/ISB etc.
- 8 to 12 years of experience in advanced analytics - predictive analytics, statistical analytics, clustering, segmentation
- Proficiency in statistical programming tools (eg. R, SPSS, SAS, Python) is a must
- Experience with big data platforms and tools (eg. Hadoop, HDFS, Hive, Pig, Cassandra, Storm) is a must
- Specific exposure and hands on experience with machine learning algorithms
- An excellent problem solver with research oriented approach
- Ability to engage well with clients
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