Data Scientist - Telecom

JOB DESCRIPTION

- Specify, design, and implement new data science applications, methodologies, models and algorithms

- Help analyze business cases, formulate the problems and provide practical solutions

- Design and implement large scale predictive analytics machine learning algorithms

- Develop code with high -level languages and technologies: R, Python, Java /Scala, SQL, Map Reduce

- Help analyze business cases, formulate the problems and provide

- Experience in analyzing large, complex, multi-dimensional datasets

- Good coding experience in Spark, Hadoop/Pig, Java/Scala, SQL, Hive, HBase

- Good experience in Natural Language Processing and its applications Experience and understanding of Mathematical Optimization formulations, Linear, MILP & Quadratic Programming, Game Theory

- Quantify and measure impacts of solutions

- Understand, categorize, organize, and interpret heterogeneous data Sets

- Design experiments, test hypotheses, and build prototypes and models

SKILLS & COMPETENCIES

- Expertise in providing an end to end BI solution by configuring metadata and building Analytics Repository, dimensional modeling design, building business models, generating reports and creating dashboards using Analytics

- Strong technical knowledge of Pentaho and related BI Applications, including approach to implementing, extending and supporting using third party modules

- Strong technical understanding of data structures generated by mobile applications and networks, and how they relate to establishing data warehousing, data management and analytic architectures

SKILL SETS

The candidate must be good at information retrieval, model building & tuning, as well as model deployment using rest APIs.

- Python (Base, Numpy, Pandas, Scipy, Beautifulsoup, NLTK, Sklearn, Tensorflow, Matplotlib, Django, Flask, Scrapy)

- Mathematics (Statistics, Probability, Algebra, Calculus)

- Machine learning techniques (Supervised and Unsupervised)

- Neural Networks

- Natural Language Processing, NLP

- Ability to understand and implement whitepapers on complex data science problems

- OCR

- Octave/Matlab

- Communication skills

EDUCATION REQUIREMENT :

Phd/B.E/ B.Tech (Any discipline)