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Talent Acquisition Role at Saaki Argus & Averil Consulting
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Data Scientist - Credit Risk & Deep Learning - NBFC (7-13 yrs)
Data Scientist -Credit Risk(Marketing, Sales, Campaign)& Deep learning
Note - Associate Divisional Manager
Exp - 7+ years (Mandatory)
Location - Chennai Only
- Experience in using Python and SQL.
- Credit Risk (Marketing, Sales, Campaign) and Deep learning anyone is a must.
- Expert working knowledge in various machine learning algorithms such as XGBoost, SVM Etc.,
- Expertise in Data Mining, Statistical Analysis, Regression, Logistics Regression, Segmentation, Time Series Forecasting, Market Basket Analysis, Decision Tree, CHAID, Test Mining, Hypothesis Testing, A/B Testing and Modeling.
Experience: 8+ Years
Location: Chennai - any banking or NBFC or BFSI projects.
- Credit Risk (Marketing, Sales, Campaign) and Deep learning anyone is a must.
Responsibilities:
- Be responsible for scaling our analytics capability across all internal disciplines and guide our strategic direction in regard to analytics
- Organize and analyze large, diverse data sets across multiple platforms
- Identify key insights and leverage them to inform and influence product strategy
- Technical Interactions with vendor or partners in technical capacity for scope/ approach & deliverables.
- Develops proof of concept to prove or disprove validity of concept
- Working with all parts of the business to identify analytical requirements and formalize an approach for reliable, relevant, accurate, efficient reporting on those requirements
- Designing and implementing advanced statistical testing for customized problem solving
- Deliver concise verbal and written explanations of analyses to senior management that elevate findings into strategic recommendation
Requirements:
- MTech / BE / BTech / MSc in CS or Stats or Maths, Operation Research, Statistics, Econometrics or in any quantitative field
- 7+ Years Experience in Analytical Domain
- Experience in using Python Experience in working with large data sets and big data systems (SQL, Hadoop, Hive, etc.)
- Keen aptitude for large-scale data analysis with a passion for identifying key insights from data
- Expert working knowledge in various machine learning algorithms such XGBoost, SVM Etc.,
- Expertise in Data Mining, Statistical Analysis, Regression, Logistics Regression, Segmentation, Time Series Forecasting, Market Basket Analysis, Decision Tree, CHAID, Test Mining, Hypothesis Testing, A/B Testing and Modeling
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