Data Scientist

Location: Gurgaon

Roles and Responsibilities:

- Be a key component of the Big Data practice, working directly with clients to solve very important problems using internal and external data

- Lead a consulting team of data science engineers and consultants and coordinate work on specific projects

- Building solutions that will be applied in real time contexts, such as recommendation engines, classification and typing systems, and process management applications - using machine learning tools, near-AI processes, statistics, scripting and data integration

- Working closely with Account Management and Business Development to design and advocate solutions

Skills and Experience:

- PhD in relevant field, or Masters with substantial experienc

- 7+ years of relevant industry experience

- Experience managing and leading a team

- Extensive experience solving analytical problems using quantitative approaches

- Knowledge of the standard Hadoop/MongoDB/Aster/HDFS/MapR/Hive/Pig tool

- Excellent SQL skills; comfortable using various data access tools.

- Good coding, scripting and prototyping skills covering some procedural as well as statistical or data oriented languages (Such as: Java, C++, Scala, Python as well as R, SQL, etc.)

- Experience with streaming algorithms and practical analysis of real-time data streams

- Familiar with parallel and distributed approaches to Data Analytics and Text Mining

- Prior experience in data mining, real-time, adaptive, probabilistic machine learning, predictive analysis, SVM, and some knowledge in NLP and text mining using Big Data

- Expert in algorithm development & implementation

- Statistical and predictive modeling experience

Experience with most of the following Machine Learning algorithms, methods, and techniques:

- Bayesian Inference (MAP, MLE, EM, MCMC, etc.)

- Random forest and other decision-tree algorithms

- Social graphs, graph theory, graph theoretic inference

- Familiarity with MATLAB, Mathematica, R, Juli, or another scientific computing language

- Experience working with Mahout, Weka, scikit-learn, mlpy, MALLET, GSL, or other third-party machine learning tools and platforms

- Extensive analytical toolset including an advanced understanding of statistics (time series analysis, cluster analysis, multivariate analysis), discrete simulation, linear and nonlinear optimization.

- Experience with data analytics in the cloud

- Familiarity with BI platforms such as Tableau and Qlikview