Job Description

• Evaluate current data to identify new opportunities for the company – both within and outside of existing products and offerings
• Develop data science solutions as currently defined by the existing product roadmap
• Analyze and visualize data to draw insights and validate hypotheses
• Work with engineers / data scientists to develop prototype solutions
• Present solutions / findings to senior management
• Continuous research to stay updated with state-of-the-art Machine Learning tools & solutions
• Prototype algorithms using Python and/or other languages with appropriate libraries and frameworks
• Design and develop machine learning algorithms related to different aspects of the business
• Work with product management team to define priorities
• Work with engineering team to define parameters for implementation/deployment

Requirements & Preferred Skills:

• 4 years or more of relevant work experience, of which at least 2 years is as a Data Scientist
• Excellent communication skills – verbal, written and presentation
• Experience with a range of statistical, artificial intelligence and machine learning techniques as well as tools used in their implementation
• Experience working with structured and unstructured data
• Hands-on experience with one or more major cloud based ML platforms: Azure / GCP / AWS preferred
• Deep knowledge and experience of feature extraction and various ML algorithms such as regression, classification, clustering, dimensionality reduction
• Experience working with Time Series data analysis
• Demonstrable experience in Exploratory Data Analysis, Data Wrangling and Data Storytelling
• Hands-on Python coding skills and familiarity with common Python tools used in Data Science
• Deep understanding of model evaluation techniques like cross-validation strategies, ROC, A/B Testing
• Understanding of model evaluation metrics like AUC, RMSE, log-loss, entropy and statistical concepts like P-value, T-test, F-test
• Experience working with geo-location data, graph analytics methods, and constrained optimization methods preferred
• Work with SPSS or similar tool set is helpful for existing production work
• Exposure to containers is a plus

Education:

Undergraduate or graduate work in Analyics, Computer Science or an appropriate related subject from a top tier University