You will need to manage and priorities work on a daily basis in order to manage customers' expectations and the efficiency of the subject to demands of workflow.
Create, maintain and perform analytics and statistical reports required to assist all internal teams including Marketing, Trade, RMS and S&MS using your technical skills (SQL, SAS, R and/or Python)
Client & Stakeholder Management: Serve as the primary point of contact for clients; communicate project progress, updates, and outcomes effectively to both technical and non-technical stakeholders.
Cost Monitoring & Reporting: Monitor project expenditures closely and proactively inform stakeholders and leadership when additional costs are anticipated or incurred beyond the agreed contract scope.
Risk Management & Problem-Solving: Identify potential project risks, develop mitigation strategies, and resolve issues proactively to keep projects on track within scope.
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Employment Type: Contract – 12 Months (Renewable based on performance)
Experience: Minimum 2 years of relevant experience
Join Strato Solutions and play a key role in collecting, transforming and delivering high-quality data that fuels analytics, AI and data-driven decision making for a smarter future.
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Allocation Optimization Design optimization models for inventory allocation across stores Balance constraints such as stock availability, demand, and capacity
Dashboarding and Analytics Create and maintain impactful analytics that drive business decisions across various platforms (e.g., dashboards)
Data & Collaboration Work with data stakeholders to ensure reliable data pipelines and translate business requirements into analytical solutions
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Partner with business product owners, technology teams, and senior stakeholders to provide trusted technical advice, influence strategic decisions, and foster adoption of data science solutions across the organisation.
Contribute to the growth of the Data Science community by sharing knowledge, mentoring team members, promoting best practices, and bringing insights from internal and external projects to continuously improve capabilities and business outcomes.
Design, build, and enhance data science and AI products that contribute to a Unified Revenue Growth Management (RGM) Engine, enabling the evolution from centralized insights to AI-powered decision-making and execution.
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Partner with business product owners, technology teams, and senior stakeholders to provide trusted technical advice, influence strategic decisions, and foster adoption of data science solutions across the organisation.
Contribute to the growth of the Data Science community by sharing knowledge, mentoring team members, promoting best practices, and bringing insights from internal and external projects to continuously improve capabilities and business outcomes.
Design, build, and enhance data science and AI products that contribute to a Unified Revenue Growth Management (RGM) Engine, enabling the evolution from centralized insights to AI-powered decision-making and execution.
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You will design, train, and fine-tune model architectures, utilizing a toolkit that includes Graph Neural Networks (GNNs), Transformers, fine-tuned open-source LLMs (like Qwen), and Gradient Boosted Trees.
You will lead the end-to-end lifecycle of your models—from production deployment to performance monitoring—iterating alongside software and product engineering teams.
You will leverage Generative AI tools (like coding assistants and analytical co-pilots) in your daily workflows to accelerate code generation, automate testing, and enhance your overall productivity.
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