What's the job: 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 1-2 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 ,MS SQL Server
- Working knowledge of applied machine learning techniques such as regression, clustering and forecasting of time-series data
- 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