Decision Science Analyst

• Strategic Problem Solving: Partner with stakeholders in Marketing, Product, and Finance to identify business bottlenecks and frame them as solvable mathematical problems.
• Advanced Modeling: Build, validate, and deploy predictive and prescriptive models (e.g., causal inference, linear programming, or Monte Carlo simulations) to forecast outcomes.
• Experimental Design: Lead the design and analysis of A/B tests and multivariate experiments to measure the incremental impact of business changes.
• Decision Support: Create automated "Decision Engines" or dashboards that allow non-technical leaders to simulate different business scenarios and see potential ROI.
• Data Storytelling: Distill complex technical findings into clear, compelling narratives and visualisations for executive leadership.

We are seeking a highly analytical Decision Science Analyst to join our team. In this role, you will not just report on what happened; you will use statistical modeling, optimization, and behavioral science to tell us what we should do next. You will translate complex datasets into strategic frameworks that improve [Company Name]'s [Key Metric, e.g., customer retention, pricing efficiency, or supply chain speed]., * Education: Bachelor's or Master's degree in a quantitative field (e.g., Data Science, Statistics, Operations Research, Economics, or Engineering).

• Technical Proficiency:

• Advanced SQL for complex data extraction.
• Proficiency in Python or R (specifically libraries like Pandas, Scikit-learn, or SciPy).
• Experience with visualization tools such as Tableau, Power BI, or Looker.

• Statistical Knowledge: Strong grasp of probability, regression analysis, and hypothesis testing.
• Business Acumen: Ability to understand financial statements and the core drivers of [Company Industry, e.g., SaaS, E-commerce, or FinTech].

Preferred Qualifications

• Experience with Optimization software (e.g., Gurobi or CPLEX).
• Knowledge of behavioral economics or game theory.
• Familiarity with cloud data environments (AWS, Snowflake, or Google BigQuery).