Data Ecosystems Squad Lead

Are you interested in using your data skills to uplift society, while exploring data that can provide real-time economic insights? This unique opportunity to help drive data ecosystems strategy and develop solutions in ShopriteX will require both analytical and creative thinking.

**In this role, you will**:
Be required to lead value creation for a diverse and unique data set.
Analyse data that will vary across industries and geographies and may include both structured and unstructured data.
Build algorithms and design experiments to merge, manage, interrogate, and extract data to find economic and other trends, and build monetisable data products.
Contribute to the overall data ecosystem strategy which will include identifying partners, understanding what data will be valuable and proposing solutions using these alternative datasets.
Manage expectations at the senior level.
Need a good understanding of data and analytics and how various data sets can be aggregated to provide insights and value
Need to possess data science methodologies such as classification (Nearest Neighbour), forecasting and regression (linear, logistic, decision trees, ensemble methods), clustering (k-means), feature generation, PCA.

**Qualifications and Experience**
- At least 5 years working as a Data Scientist
- The following experience is advantageous (but not all required):
Python
SQL
Data visualisation
Geolocation data
Economic data
Hadoop, Distributed Computing
Orion
AWS / Cloud
Custom Visualisation Frameworks
Basket level data
Tree-based pipelines using Pyspark and Scala for modelling big data
Data engineering, model deployment, and data tokenization experience a bonus

**Key competencies and work ethic**
- Strategic and conceptual thinker - Combines advanced analytics with strategy and technology to enable long-term decisions and roadmaps. Exercises mature judgment while dealing comfortably with unstructured data. Thinks creatively around a brief.
- Analytical, data-driven, and highly numerate - Strong ability to collect, organise and assimilate disparate and multiple pieces of data to guide decision-making and develop optimal solutions.
- Leadership skills - Serves the team by driving positive morale. Adopts a range of styles to deal with challenges. Enables the team to deliver on priorities while contributing to their development.
- Collaborative partner - Builds relationships both internally and externally. Open, honest and direct, comfortable giving and receiving feedback. Thinks and acts independently as well as collaboratively.
- Change agent - Energized by working both independently and interdependently within the digital network and across functions; is open to change and motivated to work agile.
- Project management skills - Ability to organize and prioritize multiple projects at various complexities to meet deadlines in a fast-paced environment with overlapping, conflicting priorities.
- Operational efficiency - Manages multiple demands by working smartly, efficiently and effectively. Stays on top of the detail while effectively prioritising and delivering on urgent and important tasks.
- and long-term value. Use technical expertise to question, understand and challenge solutions and software implementation decisions/priorities.
- Communication skills - Communicates effectively while being able to convert complex concepts and analytical findings into well-articulated verbal, written and visual messages to non-technical and business audiences. Ability to engage executives to explain strategy and influence new and innovative solutions.