Data Scientist II

Responsibilities:

• Construct optimised code that processes information from multi-terabyte data sources, including sales, clickstream, logistics, product, and customer databases, to deliver business insights and recommendations.
• Collaborate with all facets of the organisation, including product management, engineering, and creative design, to identify the most impactful ways for data and analytics to drive decision-making and accelerate profitable growth.
• Become the subject matter expert for data, analytics, and testing for your area to ensure accurate and proper interpretation of core business metrics and consumer behaviour.
• Design, execute and analyse A/B tests to make high-impact changes to the customer experience.
• Perform deep-dive analysis, including the application of advanced analytical techniques, to solve some of the more critical and complex business problems.
• Build, automate, and maintain scalable dashboards and reports using tools like Looker, BigQuery (GBQ), SQL and Python to enable efficient and self-serve data access for stakeholders.

Requirements:

• Bachelor's in Computer Science, Computer Engineering, Analytics, Mathematics, Statistics, Information Systems, Economics, or other quantitative discipline; Master's preferred.
• 3 - 5 years of work experience in a relevant field, such as analytics or data science.
• Proficient knowledge of a statistical programming language such as Python, R, SAS, or SPSS.
• Proficient knowledge of SQL (incl. Aggregate functions, joins, etc. ).
• Experience conducting quantitative analyses on large and complex data sets.
• Experience in leveraging modelling algorithms to derive business insights.
• Experience with experimental test design, such as A/B testing.
• Experience with experimental design (A/B tests) and statistical analysis to drive business decision-making required.
• Experience with data visualisation software (e. g., Google Data Studio, Tableau, PowerBI); experience with Looker is a plus.
• An analytical, creative, and innovative approach to solving problems.
• Strong written and verbal communication.
• Ecommerce or retail analytics experience is a plus.

Skills

data science, data scientist, python, r, sas, spss, sql