Data Scientist

Location: Noida, Uttar Pradesh, India

Department: Data Science

Type: Full Time

Min. Experience: Experienced

Exzeo is a software development company mainly specialized in software product development and software consulting. We are part of HCI Group (NYSE: HCI) - a multinational conglomerate based at Tampa, FL, USA. Our state of the art development center is located in Noida, India and headquartered in Tampa. Exzeo is a cool, vibrant company. We value people and thrive to build a community with a good culture and passion for software design rather than a team.

We are building up our Data Science team and are looking for analytical, enthusiastic, and passionate candidates.

A detailed description of what we are looking for:

Responsibilities:

  • You’re expected to identify, develop and implement appropriate statistical techniques that analyze current and historical data to make predictions about future or otherwise unknown events pertaining to Exzeo’s insurance products.
  • Explore historical and transactional data to exploit patterns, identify risks and opportunities to guide decision makers in making better decisions.
  • Innovate new modeling techniques and machine learning approaches to provide real-time intelligence to Exzeo platform users.
  • Work with Data Mining team to explore measurable property of the data that is being sourced.
  • Finding problem sets with various event streams aggregated by Exzeo platform to build analytical models
  • Measuring and improving the performance of models by learning its outcomes.
  • Evangelizing analytics-based decision-making approach by providing tools and dashboards within the internal teams
  • Setup, evaluate, and monitor analytical techniques and re-iterate the same

Technical Proficiency:

  • 1-3 years of minimum work experience in the relevant profile.
  • Good knowledge of various Machine learning techniques such as - Ensemble Modelling (Bagging, Boosting), Model Tuning, Dimensionality Reduction and Feature Engineering.
  • Strong knowledge of Machine learning models such as Random Forests, Regression Modelling, Ordinary Least Squares, Gradient Boosting, Clustering Algorithms, Principal Component Analysis, Singular Value Decomposition.
  • Experience of working with Text Mining and Unstructured Data Analysis.
  • Proficiency in Python or R is preferred for data analytics and model building.
  • Exposure of working with SQL and NoSql databases such as MongoDB and Elasticsearch
  • Working experience with versioning systems like GIT.
  • Good to have: Hands-on experience with JVM languages such as Scala and Apache Spark would be a plus.
  • Good to have: Exposure of working with Deep Learning frameworks such as Theano and Tensor Flow.
  • Good to have: Active profiles on Kaggle/Github.
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