Data Scientist

Minimum Requirements:

• Minimum of 3 years of experience in a data science/analytics role
• MSc level degree in a quantitative discipline such as computer science (especially machine learning), statistics, applied mathematics, quantitative finance or industrial engineering or equivalent practitioner experience
• Understanding of data science algorithms, and experience writing clean, efficient Python code involving ETL processes, data manipulation, and standard data science packages (e.g., SciPy, NumPy, Pandas, Scikit-learn)
• Experience applying advanced analytical and statistical methods to solve business problems
• Demonstrated experience with object-oriented design, coding and testing patterns
• Experience working across different functions (e.g., sales, commodity origination/procurement, merchandising and/or finance)
• Brings a high-energy and passionate outlook to the job and can influence those around them
• Able to build a sense of trust and rapport that creates a comfortable & effective workplace
• Passion for innovation and “can do” attitude
• Fresh graduates are encouraged to apply.

Job Responsibilities:

• Designs, develops, and implements end-to-end machine-learning models with large data sets (e.g., time series/econometrics models, linear models with regularization algorithms, ensemble classification algorithms)
• Works with data engineer to ensure data pipelines are scalable and repeatable
• Collects, parses, manages, analyzes and visualizes large sets of data
• Codes, tests, and documents new or modified data systems to create robust and scalable applications for data analytics
• Works with developers to make sure that all data solutions are consistent
• Develops standards and processes for integration projects and initiatives