data science in chennai

randstad india
position type
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chennai, tamil nadu
Banking & finance
position type
4 To 7
reference number
randstad india

job description

data science in chennai

?Experience in advanced analytics, model building, statistical modeling,
optimization, and machine learning algorithms.
? Machine Learning Algorithms: Crystal clear understanding, coding,
implementation, error analysis, model tuning knowledge on Linear Regression,
Logistic Regression, SVM, shallow Neural Networks, clustering, Decision Trees,
Random forest, XGBoost, Recommender Systems, ARIMA and Anomaly
Detection. Feature selection, hyper parameters tuning, model selection and error
analysis, boosting and ensemble methods.
? Strong with programming languages like Python and data processing using SQL
or equivalent and ability to experiment with newer open source tools
? Experience in normalizing data to ensure it is homogeneous and consistently
formatted to enable sorting, query and analysis.
? Experience designing, developing, implementing and maintaining a database and
programs to manage data analysis efforts.
? Experience with big data and cloud computing viz. Spark, Hadoop (MapReduce,


Client Introduction
?a fintech platform that propels under-banked customers towards meeting their real life goals by providing intuitive and tailored financial solutions.


?Data science


?Partnering with internal business owners (product, marketing, edit, etc.) to
understand needs and develop custom analysis to optimize for user engagement
and retention
? Good understanding of the underlying business and workings of cross functional
teams for successful execution
? Design and develop analyses based on business requirement needs and
? Leveraging statistical analysis on consumer research and data mining projects,
including segmentation, clustering, factor analysis, multivariate regression,
predictive modeling, etc.
? Providing statistical analysis on custom research projects and consult on A/B
testing and other statistical analysis as needed. Other reports and custom
analysis as required.
? Identify and use appropriate investigative and analytical technologies to interpret
and verify results.
? Apply and learn a wide variety of tools and languages to achieve results
? Use best practices to develop statistical and/ or machine learning techniques to
build models that address business needs.
? Collaborate with the team in order to improve the effectiveness of business
decisions through the use of data and machine learning/predictive modeling.
? Innovate on projects by using new modeling techniques or tools.