Data Scientist

What you’ll do on the job:

• Understand business problems and formulate hypothesis
• Collecting and interpreting data, analyzing results, identifying patterns and trends in large data sets
• Research and develop advanced statistical and machine learning models for analysis of large-scale, high-dimensional data
• Build custom machine learning models for various use-cases such as recommendation, insight generation, forecasting, anomaly detection, and so on
• Performing data quality checks for quality assurance
• Build data pipelines to supply quality data to machine learning model in production environment
• Supports innovative analytical thinking & solutions that results into improved business performance 
• Writing reports based on insights gained from exploratory data analysis and able to articulate it to product owner
• Practice industry well-known Machine Learning Framework and best practices

Who’ll be a good fit: 

• Proven working experience of 2+ years as a Data Scientist
• Strong in mathematics - statistics, probability, linear algebra, time series
• Proficiency in working with large datasets and data wrangling using SQL (Structured Query Language)
• Familiar with tools such as JuPyteR, Tensorflow ,Python , Azure ML, Prophet (Open source software), MS SQL Server
• Working knowledge of applied machine learning techniques such as regression, clustering, forecasting of time-series data and Classification models
• Proficiency in LSTM, hypothesis testing and supervised learning / unsupervised learning.
• Familiarity with all aspects of the analytical cycle such as data wrangling and visualisation, feature engineering, and model building
• Write scalable scripts to fetch or modify data from API endpoints
• Exposure to cloud technology is preferred (Azure)
• Excellent critical thinking, verbal, and written communication skills