Details:

Role and Responsibilities 

• Understand business requirements to translate business problems into analytics problems and construct analysis road-map based on the business context 

• Manage large volumes of structured and unstructured data, extract & clean data to make it amenable for analysis 

• Analyse big data using statistics, econometrics, mathematics, operations research, and text mining techniques 

• Develop good visualization to communicate business insights from analysis and make actionable recommendations 

• Help deploy analytics solutions and enable tracking of business outcomes to measure return on investment 

• Keep up with cutting edge analytics techniques and tools in the continuously evolving area of decision science 

• Direct/Lead Project teams consisting of analysts & consultants in terms of planning, execution, motivating to perform and managing quality excellence 

• Effective utilization and resource management by monitoring and assessing project resources, relinquish resources or request additional resources as needed 

• Mitigate the risks associated with successful project plan completion 

• Client/Customer engagement & management 

• Assist in developing/coaching individuals technically as well as on soft skills during the project. 

Specific Responsibilities 

• Solving unstructured problems by applying knowledge of data mining, natural language processing algorithms and machine learning. 

• Ability to connect data of different types, working with potentially incomplete data sources and cleaning data sets to discover new insights. 

Qualification 

• 5+ years of experience working with Machine learning / Advanced analytics domain with Python coding proficiency 

Skills 

• Strong knowledge and proficiency of Python language in some kind of data analytics domain 

• Experience of working on Machine learning projects using R / Python 

• Working knowledge of machine learning implementation in BIG data / Live business scenario 

• Understanding of BIG data technology basics 

• Strong Analytical skills 

• Communication: Strong English communication and ability to articulate both technical and domain matters 

• Deep knowledge of machine learning methods and applications 

• Strong programming skills Desirables 

• Working knowledge of Java / Hadoop / Spark 

• App development exposure 

• Strong academic background in machine learning 

• Hackathon / Competition enthusiasts

Min. Qualification:

ug

Skills Required:

bigdata, hadoop, java, machine learning, python, r, spark