Senior Data Scientist

Key Responsibilities:

• Perform exploratory data analysis, generate and test working hypotheses, and uncover interesting trends and relationships
• Complete end-to-end execution of the data science process. This may be carried out in a collaborative environment with product and engineering teams, but ranges from understanding business requirements, data discovery and extraction, model development and evaluation, to production pipeline implementation.
• Be comfortable and proactive in an environment that combines well-defined problem specifications with at times unpredictable situations carrying a significant number of technical and functional unknown.
• Make consistent use of solid verbal, interpersonal and written communication skills to carefully document results and findings and share results with various stakeholders.
• Analyze and model structured data and implement algorithms to support analysis using advanced statistical and mathematical methods and provide solutions to real business problems
• Perform advanced analytics techniques to mine unstructured data
• Communicate results and educate others through reports and presentations
• Work on mission-critical business analysis to drive change in product.

Job Requirements & Experience:

• An advanced degree in Computer Science, Engineering, Mathematics, or other relevant quantitative field with 4+ years in industry.
• Hands-on experience in at least two of the following languages: Python, Java, R and Scala.
• Knowledge in supervised/unsupervised learning, classification/clustering algorithms, feature engineering/optimization and deep learning.
• Proficiency in using query languages such as SQL and its adaptations.
• Experience with horizontally scalable data stores such as Hadoop and other NoSQL technologies such as Map Reduce, Spark, HBase, etc., and associated schemas.
• Experience in one of the following deep learning frameworks: TensorFlow, MxNet, Pytorch, H2o, Keras.
• Experience with visualization software to convert models/insights into simple, business sell-in stories would be an advantage.
• Outstanding analytical and problem- solving skills.
• Self-motivated, innovative, and proactive. Willing to learn new knowledge and explore unfamiliar domains.
• Excellent Communication skills.

Benefits:

• Provident Fund 
• Performance based Bonuses 
• Health Insurance 
• Bi-annual Increments 
• Paid Leaves
• Certification Reimbursement
• GYM Membership