Data Scientist

at Kaleidofin

Data Scientist

Kaleidofin

Company

Home

Data Scientist at Kaleidofin · Chennai, Bengaluru (Bangalore) · 2 - 4 years · Profitable · Posted 11 Aug 2021

Data Scientist

at Kaleidofin

Posted by Poornima B

2 - 4 yrs

Best in industry

Chennai, Bengaluru (Bangalore)

Skills

Machine Learning (ML)

Python

SQL

Customer Acquisition

Big Data

Data cleansing

Data Science

Responsibility

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 challenges.
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.

Requirements

2 - 4 years of relevant experience in Data science.
Preferred education: Bachelor's degree in a technical field or equivalent experience.
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, PIG, HIVE).
Experience in risk and credit score domains preferred.

Responsibility

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 challenges.
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.

Requirements

2 - 4 years of relevant experience in Data science.
Preferred education: Bachelor's degree in a technical field or equivalent experience.
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, PIG, HIVE).
Experience in risk and credit score domains preferred.

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About Kaleidofin

Founded :

2017

Type :

Product

Size :

100-500

Stage :

Profitable

About

kaleidofin is a fintech platform that propels under-banked customers towards meeting their real life goals by providing intuitive and tailored financial solutions. our name “kaleidofin” is inspired by the power of financial solutions to enable beautiful possibilities of a future life for each customer. We believe that everyone deserves and requires access to financial solutions that are intuitive and easy to use, flexible and personalised to real goals that can make financial progress and financial freedom possible for everyone.