Data Scientist

2 – 6 Years | 1 Opening | Chennai / Bangalore.

Who we are?

Kaleidofin is a neobank for the informal sector, which provides solutions tailored to the customer’s goals and are intuitive to use. We are working towards creating fair and transparent financial solutions that can target millions of customers and enterprises in India that don’t have easy access to formal financial planning.

In a very short time span, global investors such as Oiko Credit, Flourish, Omidyar Network and Blume Ventures have supported Kaleidofin’s well thought out business model with $8 million in seed and Series A funding.

The company won the Amazon AI Conclave award for Fintech, was one of only ten startups chosen for the Google LaunchPad Accelerator program in 2019, was recognised as India’s Most Innovative Wealth, Asset and Investment Management Service/Product by the Internet & Mobile Association of India (IAMAI) and was selected to present at United Nations General Assembly Special Task Force Event.

With its focus to harness mobile technology to deliver a paperless experience as well as its focus to harness technology and analytics to predict the right product for the right customer, Kaleidofin aims to become a leading FinTech player bringing financial solutions to everyone.

To know more about Kaleidofin, do visit our site www.kaleidofin.com

What You’ll Do?

  1. Partnering with internal business owners (product, marketing, edit, etc.) to understand needs and develop custom analysis to optimize for user engagement and retention
  2. Good understanding of the underlying business and workings of cross functional teams for successful execution
  3. Design and develop analyses based on business requirement needs and challenges.
  4. Leveraging statistical analysis on consumer research and data mining projects, including segmentation, clustering, factor analysis, multivariate regression, predictive modeling, etc.
  5. 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.
  6. Identify and use appropriate investigative and analytical technologies to interpret and verify results.
  7. Apply and learn a wide variety of tools and languages to achieve results
  8. Use best practices to develop statistical and/ or machine learning techniques to build models that address business needs.
  9. Collaborate with the team in order to improve the effectiveness of business decisions through the use of data and machine learning/predictive modeling.
  10. Innovate on projects by using new modeling techniques or tools.
  11. Utilize effective project planning techniques to break down complex projects into tasks and ensure deadlines are kept.
  12. Communicate findings to team and leadership to ensure models are well understood and incorporated into business processes.

Who you need to be?

  • 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

Basic Requirements

  • Typically has 2 – 6 years of relevant experience
  • Preferred education: Bachelor’s degree in a technical field or equivalent experience

If you fit the bill, write to me at careers@kaleidofin.com