BackDuties & Responsibilities
- Design, develop, and deploy data solutions that address complex business challenges,
- leveraging predictive modelling, machine learning, and advanced statistical analysis.
- 2. Take high-level business objectives and translate them into well-structured, data-driven
- projects, with a focus on driving insights and actionable recommendations.
- 3. Collaborate with cross-functional teams including marketing, product, finance, and
- commercial teams to deliver insights that drive business decisions and improve processes.
- 4. Work with large, complex datasets to discover insights, trends, and patterns, uncovering
- pportunities for optimization and growth.
- 5. Effectively communicate complex analytical results and insights to both technical and nontechnical
- stakeholders, making data-driven recommendations accessible and actionable.
- 6. Collaborate with cross functional divisions in building complex end-to-end products that are
- customer facing and internal facing.
- 7. Leverage LLM Tools and Models to facilitate project developments and process automation.
Requirements
- A degree in Math, Statistics, Economics, Computer Science, Engineering or similar domains.
- The determination to initiate and drive projects or experiments to completion.
- The ability to take vague problems and solve them in a structured, data-driven manner.
- Great communication and presentation skills in English.
- Expertise in SQL and programming languages like Python, R.
- Ability to work in a dynamic and fast-paced environment, adapting to evolving business needs.
- Passion for driving innovation, staying up to date with industry trends, and continuously
- improving data science capabilities.