Data Scientist - Machine Learning - Java/c++/python

Curve HR
  • Delhi
  • 10-15 lakh
  • 9-12 years
  • 23 Jun 2015

  • Senior Management-Technology

  • IT/ Technology - Software/ Services
Job Description

- They are looking for Data/Mining Engineer with good knowledge of Machine Learning, Data Mining and Algorithms.

- People who like to solve various innovative problems in the area of large-scale data, predictive analytics and e-commerce data mining. The ability to think outside the box is essential.

- Data Science in Online Retail Domain would be an added advantage.

Key Areas of Responsibility :

- Use of cutting edge data mining, machine learning techniques for building advanced customer solutions.

- Use techniques from artificial intelligence/machine learning to solve supervised and unsupervised learning problems

- Design solutions for complex business problems related to BIG Data by using NLP/Machine Learning/Text Mining techniques.

- Recommend and implement best practices around application of statistical modelling.

- Develop and implement solutions to fit business problems which may include applying algorithms from a standard statistical tool or custom algorithm development.

Desired Skills and Experience

- 3+ years of experience in a predictive modelling / data scientist / statistician role.

- Good with programming languages (Java / C++ / Python)

- Outstanding expertise and research experience in machine learning, NLP, Information Retrieval, and Recommender Systems

- Experience with capturing, managing and processing Big Data.

- Familiarity with SQL and other database tools to store, organize, retrieve, and manage data for doing analysis.

- Familiarity with Unix/Linux systems, shell scripting.

- Predictive and statistical modeling experience: Vector machines, cluster analysis, decision trees, markov chains, bayesian modeling.

- Added Advantage: Experience with NoSQL and distributed processing technologies such as Hadoop, Mongo, Cassadra.

- Experience working with some or all of the following tools : R, Python, Octave, Mahout.

- Experience using machine learning algorithms (for example: Generalized Linear Models, Boosting, Decision Trees, Neural Networks, SVM, Bayesian Methods, time series models, etc.)

- Experience of dealing with clickstream, Google Adwords, Social Network data sets and customer behavioral and transactional data sets.

- Very good communication skills applying to complex scientific and technical subjects.

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