Key responsibilities:

• Be part of a team that will be building SAAS products from scratch.

• Will demonstrate cross functional interactions with engineering, product and reporting teams

• Will work on building intelligence to solve business problems across Hypothesis applications.

• Perform data analysis by integrating different data sources

• will be developing advanced statistical models, machine learning methods, data mining, HDFS MR jobs, Big data streaming, deploying high-end real time solutions, analyzing and reporting on various datasets

• Participate and add value throughout data life cycle - data capturing, model inputs, format and API handshake required

• Develop deployable models that can be integrated with production systems.

Technical Skills

• Passionate about everything around data

• Programming ability using R/Octave/Python or equivalent tools.

• Ability to communicate data models in a clear and precise manner

• Experience creating and using machine learning algorithms and statistics: regression, simulation, modeling, clustering, decision trees, neural networks, etc.

• Hands on experience of R/Octave/Python, SQL, familiarity with Scala, Go is an asset.

• Experience with Map Reduce, Apache streaming, HDFS and NoSQL is a plus.

• Working knowledge of technology stack - HDFS, Spark, Flink, NoSQL, AWS

• 3-6 years of relevant experience.

• BE / B.Tech. or above in Computer Science / Software Engineering

• 2+ of proven work experience in Data Science management or as an Data Analyst in technology focused business

• Previous relevant technical experience in field of software development (dev-ops, backend OR full-stack) is good to have