Senior Data Scientist

Pune, Maharashtra, India | Full-time | COVID-19 remote


About the Company

Easebuzz is a payment solutions (fintech organisation) company which enables online merchants to accept, process and disburse payments through developer friendly APIs. We are focusing on building plug n play products including the payment infrastructure to solve complete business problems. Definitely a wonderful place where all the actions related to payments, lending, subscription, eKYC is happening at the same time.

We have been consistently profitable and are constantly developing new innovative products, as a result, we are able to grow 4x over the past year alone. We are well capitalised and have recently closed a fundraise of $4M in March, 2021 from prominent VC firms and angel investors. The company is based out of Pune and has a total strength of 120 employees. Easebuzz’s corporate culture is tied into the vision of building a workplace which breeds open communication and minimal bureaucracy. An equal opportunity employer, we welcome and encourage diversity in the workplace. One thing you can be sure of is that you will be surrounded by colleagues who are committed to helping each other grow.

Qualifications and Education Requirements

  • We are seeking experienced data scientists to deliver those insights to us on a daily basis.
  • Strong SQL and higher-level programming languages with solid knowledge of data mining, machine learning algorithms and tools
  • Exposure to collecting and/or working with data including standardizing, summarizing, offering initial observations and highlighting inconsistencies.
  • As you mine, interpret, and clean the data, we will rely on you to ask questions, connect the dots, and uncover opportunities that lie hidden with the ultimate goal of realizing the data’s full potential.
  • Strong understanding of the application of analytical methods and data visualization to support business decisions.
  • Ability to understand complex operational systems and analytics/business intelligence tools for the delivery of information products and analytical offerings to a large, global user base.
  • Able to work in a fast-paced, deadline-driven environment as part of a team and as an individual contributor
  • Ability to easily move between business, analytical, and technical teams and articulate solution requirements for each group
  • Experience in payment industry or Fintech startup is preferred.
  • You must have a proven ability to drive business results with data-based insights and more importantly you should be comfortable working with a wide range of stakeholders and functional teams.
  • You will be instrumental in helping the business continue its evolution into an analytical and data-driven culture.

Role and Responsibilities

  • Understand and analyze data to drive business insights
  • Experience in creating dashboard for stockholders/Merchants etc including KPI identification.
  • Data visualization/projections/segmentation for easy consumption of data with senior management
  • Strong process orientation and ability to learn quickly
  • Drive change in tech/process backed by data
  • Manipulate and analyze complex, high-volume, high-dimensionality data from varying sources using a variety of tools and data analysis techniques.
  • Selecting features, building and optimizing classifiers using machine learning techniques. Refine and deepen understanding of the algorithmic and inferential aspects of statistical analysis.
  • Evaluate new algorithms from latest research and develop intuition about the problems for which they are likely to improve the state of the practice. Build training pipelines for the production environment.
  • Develop and execute on a plan for continuous iteration and refinement of a new model.
  • Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, artificial neural networks and their real-world advantages or drawbacks. Knowledge of deep learning techniques is a plus.
  • Experience with common data science toolkits such as R, NumPy, MatLab, Pandas, Scikit-learn, TensorFlow, Keras etc. Experience with data visualisation tools such as D3.js, GGplot. Proficiency in using query languages such as SQL.Experience visualizing/presenting data for stakeholders using: Tableau, ggplot, python Viz libraries etc.
  • Excellent written and verbal communication skills for coordinating across teams.
  • Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques.
  • Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
  • Can plan and develop cross-sell/up-sell models.