Data Scientist - Advanced Analytics/Machine Learning - IT

Data Scientist - Advanced Analytics/Machine Learning - IT

- Advance Analytics - Data Scientists with deep work exposure to ML @ Bangalore - 40L. Need 8 -10 years of experience. The Analytic Consultant/Data Scientist is a partner-facing role responsible for delivering high impact analytic and data science projects by using analytics, in support of operational risk initiatives across consumer lending. 

- This role supports analytics requirements for Credit Bureau Oversight. Should have hands-on experience with Deep-learning, AI techniques like ANN, CNN, DNN, RNN etc. and how to strategize deep-learning layer and activation's and in implementing ML algorithms.

- Excellent understanding of model metrics including AUC, ROC, CAP-curve, F-statistics etc. with clear understanding of how model performance is tuned

- Strong programing skills.

- Expertise in analytic tools : R, Python, Scala, Java, SAS

- Big Data skills - Aster, Hadoop, SPARK, H20 and various big data distributions like Hortonworks and MapR

- NLP, Text mining, Image/Voice processing, digital analytics, deep learning, machine learning

- Demonstrate excellent organization skills throughout the development of analytical solutions (data analysis documentation, hypothesis documentation, code management, etc.).

- Data Engineering

- Sql, Teradata, Hadoop, Spark

- Exploratory Data analysis

- Provide exploratory data analysis using Python/R/SAS / SQL

- Experience with Databases like oracle, Teradata, Sql server

- Advance Excel skills

- Data integration and clean up data for the usage

- Experience with structured data and semi-structured text or Excel files

- Business Intelligence

- Tableau, Power BI, Shiny, Dash, HTML5

- Business Analytics

- Data mining and Insights

- Trend Analysis, forecasting and pattern recognition

- Find opportunities in the data and able to communicate to the partners

- Consult with partners to define issues/information needs

- Present findings to multiple levels of management

- Ensure that analyses are delivered on time, while surpassing partner expectations

- Ensure partner transparency throughout the life of the project

- Proactively seek opportunities to increase the value of analysis

- Strong oral and written communication and consultative skills