Data Scientist

Keyskills :

Programming, Machine Learning, Artificial Intelligence, Data Science, Business Analytics, Product engineering, Requirement gathering, Problem formulation, quick POCs

Responsibilities

• To help designing, innovating and building our next generation ML architecture
• Identify valuable data sources and automate collection processes
• Undertake preprocessing of structured and unstructured data
• Analyze large amounts of information to discover trends and patterns
• Build predictive models and machine-learning algorithms
• Combine models through ensemble modeling
• Present information using data visualization techniques
• Propose solutions and strategies to business challenges
• Collaborate with engineering and product development teams
• Teach and mentor others in the use of AI/Machine Learning

Must-Have :

• Experience in data mining
• Strong math skills (e.g. statistics, algebra)
• Strong programming skills in R, Python and familiarity with Java, Scala, C++
• DB/NoSql MongoDB, Neo4J, MySql. Cassandra, DynamoDB, Redshift
• Experience on Hadoop Map Reduce, Pig, Hive, Mahout and Apache Spark, H20
• Strong experience in Data warehousing, ETL, BI (e.g. Tableau, Power BI) and Data Visualization tools (matplotlib, D3.js, Plotly.js, Shiny etc)
• Experience in neural networks, regression, classification and clustering
• Think big & scale

Good to have :

• Experience with Deep Learning tools Tensorflow, Theano, Caffe etc.
• Elastic Search, NLP background and Machine Learning Platforms
• Experienced in deployment of High performance, Scalable Big Data Hadoop clusters and Web applications on cloud infrastructure (Azure, AWS, Bluemix etc)