Analytics Engineer

Experience : 0 to 3 Years
Location : Pune
Job Role : Engineer
Posted on 08 Oct 20
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Job DescriptionLast Date 08 Dec 20

We are seeking Analytics Engineers at all experience levels for our Pune, India location We are especially looking for analytics engineers or data scientists with strong software engineering skills that are familiar with the product development lifecycle and have experience in developing production ready analytics IITs and NITs preferred

If you are interested in working on designing and developing a state of the art conversational analytics product with cutting edge NLP, augmented intelligence and ML capabilities, please apply by submitting a resume and ideally, any links or pointers to your work


Unscrambl is an enterprise software focused startup founded by ex IBM Watson Labs researchers building products in the space of Conversational AI and Decision AI It is headquartered in the US with offices in India, Turkey, Singapore and Philippines It is solving a critical challenge that business users in enterprises face today, viz how can they get the right data and insights quickly enough to make informed decisions At Unscrambl, we aim to solve this problem through 'Conversational Analytics”  This allows any user to ask text or voice questions of their data and receive back a natural language and visual analysis of the most statistically relevant and actionable insight for that user Unscrambl’s primary product, 'qbo insights', combines NLP, ML, bot technologies and augmented analytics to allow business users ask questions on diverse internal and external datasets such as revenue and sales data, supply chain data, IOT data, customer profiles, transactions, etc


You will be working with our product development team to incorporate new statistical, machine learning and other analytic models in our conversational and decision AI platforms A key part of the work is to make the analytical models robust and production ready, with extensive testing and generalization to make them work on any dataset with no human intervention Some examples of models are correlation analysis, customer segmentation models, purchase propensity models, recommendation models, churn models, anomaly detection models, time-series prediction models, etc You'll also be involved in building out NLP features in our platform and developing new NLU and NLG algorithms, including the support for different languages Finally, we are looking for creative thinkers to help us innovate as we design and implement new and relevant features in our products Since you’ll be working on our product, you are also responsible for upholding a high standard of code quality, and writing and maintaining tests for the code you write and the models you develop


  • Proficiency in data mining and machine learning techniques
  • Understanding of basic software engineering design principles, and the ability to write clean, well-structured, maintainable and testable code
  • Strong fundamentals in Computer Science - eg data structures, algorithms and time complexity 
  • Experience with Python (primarily version 37) and its machine learning/data mining toolkits, such as pandas, scipy, and numpy, on Linux
  • Experience using data science notebooks like Jupyter
  • Good presentation and communication skills, and ability to interact with customers
  • Fluency in English is a must


  • Experience with SQL and NoSQL databases
  • Experience in working with Big Data and Stream Processing systems (such as Hadoop, Spark, Storm, etc)
  • Experience in telecommunications, financial services, healthcare or aviation domains
  • Experience in other programming languages, especially C++ (C++11),Java and Javascript
  • Knowledge of specialized analytic fields like text-mining, geospatial analytics, time series analytics, image or video processing, etc
  • Experience with deep learning frameworks, particularly for natural language processing
  • Knowledge of data visualization packages, in Python and outside


  • An opportunity to create and shape a revolutionary product
  • Well equipped technical infrastructure to keep you going without glitches - VPN, git (Atlassian Stash),code reviews, issue tracking (JIRA),continuous builds
  • A fast-paced software development environment that uses the latest open-source tools across the development stack
  • A flexible work environment


  • Degree in Computer Science or related field from a top university (IITs and NITs preferred)
  • Analytics Engineer
  • Experience : 0 to 3
  • Job Type : Full Time
  • Interview Type : Face to Face Interview

Job Type : Full Time
Interview Type : Face to Face Interview
Company Description
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