Data Scientist

Bangalore

About Draup:

DRAUP is a stealth-mode start-up, incubated at Zinnov, and working on Big Data and Machine Learning. We are building an Enterprise Sales Enablement platform, which will enable huge multi-corporations to be able to sell better. We are a 10-month-old team creating a new product led by very experienced Serial Entrepreneurs with more than 12 years of experience in the sales industry with a good track record of creating and selling off a very successful start-up.

Job Description:

We are looking for an experienced Machine Learning/Natural Language Processing expert who will be working on a new product to consume cleaned and curated data and apply their knowledge to build the platform that helps us discover the information hidden in vast amounts of data and make smarter decisions to help our clients get better results in comparison to manually accumulated data. The primary focus will be to build a state-of-the-art system by applying data mining techniques, doing statistical analysis, and building high quality prediction systems which will become the central focus of the product. If your colleagues do not consider you a rockstar do not even consider applying.

Responsibilities:

  1. As Data Scientist at DRAUP, you will devise and collaborate with seasoned founding team and subject matter experts to gather and clarify requirements and effectively negotiate solutions and provide expert consulting services in the identification and resolution of highly complex AI architecture-related issues
  2. Automatic knowledge acquisition from text such as semi / unsupervised ontology induction
  3. Selecting features, building and optimizing classifiers using machine learning techniques
  4. Data mining using state-of-the-art methods
  5. Doing ad-hoc analysis and presenting results in a clear manner
  6. Creating automated anomaly detection systems and constant tracking of its performance
  7. Amazing opportunity to implement a chatbot (Interactive intelligent agent) that takes input in natural language, processes the query along with massive amounts of data from a wide variety of sources, detects meaningful patterns, and derives a rich set of insights that can be used to improve the quality of the user experience that’s offered

Skills and Qualifications::

  1. Bachelor's or Master's degree in Computer Science or related streams; equivalent professional experience may be substituted for formal education
  2. Excellent understanding of machine learning techniques and algorithms such as k-NN, Naive Bayes, SVM, Decision Forests, Regression Techniques, etc.,
  3. Experience with common data science toolkits such as RoR Python (Numpy) etc., Excellence in at least one of these is highly desirable
  4. Understanding of NLP toolkits such as Stanford suite, Python NLTK, Apache OpenNLP
  5. Good applied statistics skills such as distributions, statistical testing, regression, etc.,
  6. Willingness to experiment with deep learning (TensorFlow, H20.ai, etc.,)
  7. Good scripting and programming skills 
  8. Knowledge of spark and experience with distributed systems will be considered a plus
  9. Data-oriented personality
  10. Ability to communicate complex technical concepts to both technical and non-technical audiences
  11. We expect an entrepreneurial mindset, someone who is not afraid to take on new challenges every day, and who considers the product as their own by taking complete ownership of it
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