You will collaborate with stakeholders to align on key product metrics and propose experimentation strategies, including A/B testing.
You will design and manage data specifications for new products, ensuring accurate data collection in collaboration with engineering teams.
You will mentor junior team members, promote high standards in data handling, and develop scalable frameworks to address recurring problems efficiently.
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Use GenAI tools (like Cursor or Gemini) and basic system-thinking to automate routine metric reviews and alerts, freeing up your time for deeper threat investigations.
Use components of our Auto-Adaptive risk frameworks as tools to help in the operational validation and refinement of safety and risk rules.
Contribute to foundational data initiatives, such as metric onboarding, data pipeline cleanups, and architectural efficiency, ensuring the data we use for risk detection remains robust and reliable.
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Reporting: Help prepare monthly reports and presentations on data trends and insights for leadership.
Documentation: Monitor reporting consistency and write clear guides, manuals, and technical documentation.
Currently pursuing or recently completed a Diploma or Degree in Information Technology, Computer Science, Data Science, or a related quantitative discipline.
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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 have finished a Master’s degree in a Quantitative field (Computer Science, Mathematics, Engineering, Business analytics, Artificial intelligence etc.).
• 5+ years experience in data science• You take responsibility for your work and are continuously looking for new opportunities to make a change.
• You embrace the process of trial and error and learn from both successes and failures. Like us, you are always seeking to improve and innovate.
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Got a thing for growth and tech? Working with us at Valiantlytix means joining a lean software team building tools that help businesses make smarter decisions from their data.
As a Marketing Executive you'll build and scale our user acquisition, create messaging that connects with customers, and help grow product adoption across channels.
Event Optimization: Direct the BD team during live pop-ups, fairs, and events to implement high-converting, gamified retail tactics.
Data-Driven Iteration: Constantly run experiments on user acquisition costs (CAC) and customer lifetime value (LTV) to build frictionless paths to purchase.
Weaponize Data: Use internal AI community data to identify pipeline bottlenecks and validate new sales initiatives.
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