- 14+ years of experience - out of which at least 7 years should be in data science
- Experience in leading large DS programs or DS practice for a reputed IT/consulting company
- Knows how to run large programs, sell offerings, grow practice.
- Avoid people from banking captives or product companies.
- Broad awareness of stats, machine learning, NLP/Neural Networks, deep learning, computer vision, cloud ecosystem, data engineering, productionalization of models
- Expertise on any one out of these 2: machine learning or NLP/Neural networks
Nice to have: Phd or degree from IIT/IIM/other top institutes
- Ability to break down complex problems, and develop strategies to solve them
- 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, open source packages and commercial/enterprise applications.
- Strong programming experience in R/Python and SQL
- 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.
- Communicate results and educate others through reports and presentations.
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