Data Science Engineer

9L - 15L
Remote
2+ years
Full Time

Job Overview

Key deliverables for the Data Science Engineer would be to help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products.

Big Picture

  • You will mine and analyse data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
  • You will identify valuable data sources and automate collection processes along with undertaking pre- processing of structured and unstructured data
  • Assessing the effectiveness and accuracy of new data sources and data gathering techniques.
  • Analysing large amounts of information to discover trends and patterns
  • Building predictive models and machine-learning algorithms to apply to data sets.
  • Combining models through ensemble modelling
  • Presenting information using data visualization techniques and proposing solutions and strategies to business challenges
  • Coordinate with different functional teams to implement models and monitor outcomes.

Background

  • You have 2+ years of experience as a software engineer at a SaaS or technology company
  • Demonstrable hands-on programming experience with Python/R Data Science Stack
  • Ability to design and implement workflows of Linear and Logistic Regression, Ensemble Models (Random Forest, Boosting) using R/Python
  • Familiarity with Big Data Platforms (Databricks, Hadoop, Hive), AWS Services (AWS, Sagemaker, IAM, S3, Lambda Functions, Redshift, Elasticsearch)
  • Experience in Probability and Statistics, ability to use ideas of Data Distributions, Hypothesis Testing and other Statistical Tests.
  • Demonstrable competency in Data Visualisation using the Python/R Data Science Stack.
  • Preferable Experience Experienced in web crawling and data scraping
  • Strong experience in NLP. Worked on libraries such as NLTK, Spacy, Pattern, Gensim etc.
  • Experience with text mining, pattern matching and fuzzy matching

More and Bonus If

  • Passionate about building a product from scratchPassion for fintech

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