Data Scientist - Machine Learning/Natural Language Processing

Data Scientist ( 1 to 5 yrs) - Bangalore- Interview on 22nd July

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 his 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 result in comparison to manually accumulated data. The primary focus will be to build 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

- As Data scientist 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

- Automatic knowledge acquisition from text such as semi / unsupervised ontology induction

- Selecting features, building and optimizing classifiers using machine learning techniques

- Data mining using state-of-the-art methods

- Doing ad-hoc analysis and presenting results in a clear manner

- Creating automated anomaly detection systems and constant tracking of its performance

- 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, detect meaningful patterns and derive a rich set of insights that can be used to improve the quality of the user experience that's offered

Skills and Qualifications:

- Bachelors or Master's degree in Computer Science or related; equivalent professional experience may be substituted for formal education

- Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.

- Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc. Excellence in at least one of these is highly desirable

- NLP toolkits such as Stanford suite, Python NLTK, Apache OpenNLP

- Experience with data visualisation tools, such as D3.js, GGplot, etc.

- Proficiency in using query languages such as SQL, Hive, Experience with NoSQL databases, such as MongoDB, Cassandra, HBase

- Good applied statistics skills, such as distributions, statistical testing, regression, etc.

- Good scripting and programming skills

- Knowledge of spark and experience with distributed systems will be considered as a plus point

- Data-oriented personality

- Ability to communicate complex technical concepts to both technical and non-technical audiences

- We expect an entrepreneurial mindset, someone who is not afraid to take on new challenges every day and who considers the product as his own by taking complete ownership of it