Responsibilities

• Selecting features, building and optimizing machine learning models
• Data mining, using state-of-the-art methods
• Processing, cleansing, and verifying the integrity of data used for analysis
• Follow CI/CD and productionize machine learning models
• Extending company’s data with third party sources of information when needed
• Enhancing data collection procedures to include information that is relevant for building analytical systems
• A desire to be part of a team that delivers impactful results every day
• Communicate, collaborate and work effectively across distributed teams in a global environment
• Deliver business value
• Own the business metrics which the model / algorithm drives along with the Product Manager
• Help to make Data Science and data driven decision making a part of organization’s DNA

Skills / Experience

• Around 4+ years of Data Science industry experience, with at least 2 yrs of experience in building Information Retrieval systems
• Previous experience on Search and Discovery. Deep expertise on ranking algorithms, personalising search, adding context, learning to rank, NLP etc.
• Familiarity with ElasticSearch / Solr or similar tools and experience in building low latency ML models to power a search engine
• Excellent understanding of algebraic, probabilistic and feature based information retrieval models
• Proficiency in dealing with natural language data and building efficient indexes in order to build a world class search engine
• Excellent understanding of Statistics
• Ability to whiteboard theory as well as roll up sleeves and get coding