Senior Decision Scientist

Job Summary

We are looking for an experienced Senior Decision Scientist to join our team and provide critical analytical support for strategic business decisions.

In this role, you will apply advanced statistical, mathematical, and quantitative techniques to solve complex business challenges, uncover opportunities, and develop actionable recommendations that drive business performance, efficiency, growth, and profitability.

You will work with large datasets, develop and apply statistical methodologies, identify meaningful patterns, and translate complex analytical findings into clear business insights. This position requires a combination of strong technical expertise, business acumen, and the ability to independently lead analytical projects while collaborating with cross-functional teams and presenting recommendations to senior stakeholders.

Essential Job Functions

• Lead complex analytical projects, from understanding business challenges to developing solutions and presenting recommendations.
• Apply advanced statistical and quantitative methodologies to analyze large datasets and identify trends, patterns, correlations, and business opportunities.
• Conduct exploratory data analysis (EDA), hypothesis testing, experimental design, and causal inference to support data-driven decisions.
• Build descriptive and explanatory models or leverage outputs from predictive models to address business challenges.
• Use statistical programming languages such as Python and/or R to perform advanced data analysis.
• Extract, integrate, transform, and validate data from multiple sources to ensure accuracy and reliability.
• Partner with business stakeholders to understand strategic objectives and translate them into analytical solutions.
• Communicate complex analytical findings through data visualization, presentations, and clear business recommendations.
• Collaborate with data scientists, data engineers, IT, and other technical teams to improve data quality and analytical processes.
• Support the deployment and monitoring of predictive models within business workflows.
• Identify opportunities to improve analytical methodologies, tools, and business processes.
• Share knowledge and provide guidance or mentorship to less experienced team members when needed.

Experience Requirements

• Strong knowledge of statistical analysis and quantitative methodologies.
• Advanced experience with Exploratory Data Analysis (EDA).
• Strong understanding of experimental design and hypothesis testing.
• Knowledge of causal inference techniques.
• Experience with distribution analysis, correlation, outlier detection, multivariate analysis, time series, and machine learning concepts.
• Ability to interpret complex datasets and translate findings into actionable recommendations.
• Python and/or R for statistical programming and data analysis.
• SQL, preferably with Snowflake or Microsoft SQL Server.
• Experience with data integration, transformation, and quality validation.
• Excel and Power BI for data analysis and visualization.
• Experience in data analytics, decision science, statistics, or a related quantitative field.
• Bachelor's degree in Data Science, Statistics, Mathematics, Business Analytics, or a related field.
• Master's degree preferred.
• Fluent English, both written and spoken.
• Demonstrated experience independently managing analytical projects and working with business stakeholders.