Are you passionate about transforming data into insights that drive critical business decisions?

Do you excel at connecting data with strategy to deliver recommendations that empower growth and efficiency?

If you’re ready to use data science to guide decision-making, our client has the ideal role for you.

We’re seeking a Decision Scientist (aka The Strategic Data Advisor) to develop analytical models, generate actionable insights, and enable data-driven decisions across the organization.As a Decision Scientist at our client, you’ll collaborate with product, finance, and operations teams to turn complex data into clear strategies.

Your expertise in statistical modeling, machine learning, and data storytelling will be essential for crafting insights that shape strategic directions, optimize performance, and drive impactful results.Key Responsibilities: Develop Analytical Models for Decision-Making: Create statistical and machine learning models to analyze business performance, predict trends, and optimize processes.

You’ll develop tools that inform strategic choices and drive business outcomes.

Translate Data into Actionable Insights: Conduct in-depth analyses to identify key trends, opportunities, and challenges.

You’ll interpret data to provide recommendations that support business growth, customer satisfaction, and operational efficiency.

Collaborate on Strategic Planning and Optimization: Work closely with cross-functional teams to align insights with business goals.

You’ll advise on strategic initiatives, resource allocation, and process improvements that align with data findings.

Design and Implement Experiments: Lead A/B testing and experiments to measure the impact of different strategies.

You’ll interpret results and provide recommendations based on empirical evidence to refine business approaches.

Create and Present Data Visualizations and Reports: Develop dashboards, visualizations, and reports that effectively communicate findings and recommendations to stakeholders.

You’ll ensure insights are accessible, meaningful, and aligned with business needs.

Optimize Decision-Making Frameworks: Establish frameworks and best practices for data-driven decision-making across the organization.

You’ll build and refine decision science processes that enable efficient and consistent insights.

Stay Updated on Analytical Tools and Techniques: Keep current with advancements in data science, machine learning, and analytics.

You’ll integrate new methodologies that improve model accuracy, efficiency, and business relevance.