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Hi Guys
Role: Decision Science Analyst
Visa: Any
Location: San Antonio TX (Day 1 Onsite)
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].
Key Responsibilities
Hi Guys
Role: Decision Science Analyst
Visa: Any
Location: San Antonio TX (Day 1 Onsite)
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].
Key Responsibilities
- 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.
- 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].
- 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).