Data Scientist

• Evaluate performance of categories and activities, using proven and advanced analytical methods

• Support stakeholders with actionable insights based on transactional, financial or customer data on an ongoing basis

• Oversee the design and measurement of experiments and pilots

• Initiate and conduct advanced analytics projects such as clustering, forecasting, causal impact

• Build highly impactful and intuitive dashboards that bring the underlying data to life through insights

Operational Excellence

• Improve data quality by using and improving tools to automatically detect issues

• Develop analytical solutions or dashboards using user-centric design techniques in alignment with ACT’s protocol

• Study industry/organization benchmarks and design/develop analytical solutions to monitor or improve business performance across retail, marketing, and other business areas

Stakeholder Management

• Work with Peers, Functional Consultants, Data Engineers, and cross-functional teams to lead / support the complete lifecycle of analytical applications, from development of mock-ups and storyboards to complete production ready application

• Provide regular updates to stakeholders to simplify and clarify complex concepts, and communicate the output of work to business

• Create compelling documentation or artefacts that connects business to the solutions

• Coordinate internally to share key learning with other teams and lead to accelerated business performance

• Be an advocate for a data-driven culture among the stakeholders

Job Requirements

Education

• A higher degree in an analytical discipline like Finance, Mathematics, Statistics, Engineering, or similar

Relevant Experience

• Experience: 3-4 years for Data Scientist

• Relevant working experience in a quantitative/ applied analytics role

• Experience with programming, and the ability to quickly pick up handling large data volumes with modern data processing tools, e.g. by using Spark / SQL / Python

• Excellent communication skills in English, both verbal and written

Behavioural Skills

• Delivery Excellence

• Business disposition

• Social intelligence

• Innovation and agility

Knowledge

• Functional Analytics (Retail Analytics, Supply Chain Analytics, Marketing Analytics, Customer Analytics, etc.)

• Working understanding of Statistical modelling & Time Series Analysis using Analytical tools (Python, PySpark, R, etc.)

• Knowledge of statistics and experimental design (A/B testing, hypothesis testing, causal inference)

• Practical experience building scalable ML models, feature engineering, model evaluation metrics, and statistical inference

• Enterprise reporting systems, relational (MySQL, Microsoft SQL Server etc.), database management systems

• Business intelligence & reporting (Power BI)

• Cloud computing services in Azure/ AWS/ GCP for analytics

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