Location : Bangalore
Experience : 3-7 yrs
Skill required
- 3-7 years of relevant experience in advanced analytics and predictive modeling techniques
- Any Master's Degree / PhD in a quantitative field is mandatory
- Expert knowledge applying data mining and machine learning techniques in a professional context
- Proficient and experience in statistical tools like SAS, R Python, Big Data platforms like GreenPlum, Hadoop & Spark etc.
- Experience and good working knowledge in programming languages like Java/C/C++/ and SQL is a must
- Candidate will be expected to Machine Learning: Advanced knowledge of machine learning algorithms, practical experience of parameter and performance tuning,
- Natural Language Processing: Implement state of the art techniques for processing natural language data for classification, entity extraction, or summarization
- Have the ability to discover new opportunities where advanced analytical techniques can be leveraged for solving business problems
Key responsibilities :
- Collaborate with the key stakeholder to identify and resolve any data, infrastructure, or implementation issues
- Work and use best machine learning, modeling, analysis techniques and provide actionable insights/ model algorithms to the team
- Combine in-depth business knowledge, insights, and techniques such as data visualization, statistical tests, and data mining techniques to identify customer or prospect needs, behavioral trends, product preferences etc.
- Must be comfortable to with various data types and structures: structured and unstructured data, static and streaming data, extensive prior experience in integrating data, profiling, validating and cleansing data
- Deploy various machine learning and advanced modeling techniques like Neural Networks, Deep learning, Random Forest, GBM, KNN, SVM, Bayesian, etc.
- Communicate analytical results in a way that is meaningful for business stakeholders and provides actionable insights.
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