Decision Scientist

Job Description

We are seeking a highly analytical and results-driven Decision Scientist to join our Data Science team. In this role, you will leverage data, statistical analysis, machine learning, and business intelligence to drive strategic decision-making across the organization. You will partner with cross-functional teams to identify business opportunities, optimize operational performance, and deliver actionable insights through advanced analytics and predictive modeling.

The ideal candidate has a strong background in data science, statistics, experimentation, and business strategy, with the ability to translate complex data into clear recommendations for stakeholders and executive leadership.

Key Responsibilities

• Analyze large, complex datasets to identify trends, patterns, and business opportunities.
• Develop predictive, forecasting, and optimization models to support strategic business decisions.
• Design, execute, and evaluate A/B tests and other experiments to measure business impact.
• Build statistical models to improve customer acquisition, retention, pricing, and operational efficiency.
• Collaborate with product managers, business leaders, engineering, and analytics teams to solve high-impact business problems.
• Develop dashboards, reports, and visualizations to communicate insights effectively.
• Monitor key business metrics and recommend data-driven improvements.
• Conduct root cause analysis to identify factors influencing business performance.
• Apply machine learning and advanced analytics techniques to improve decision-making processes.
• Translate business requirements into analytical solutions and actionable recommendations.
• Ensure data quality, integrity, and consistency across multiple data sources.
• Present analytical findings to technical and non-technical stakeholders, including senior leadership.
• Document methodologies, models, and analytical processes to support knowledge sharing and reproducibility.
• Stay current with emerging data science methodologies, analytical tools, and industry best practices.

Required Qualifications

• Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Operations Research, Business Analytics, or a related quantitative field.
• 2+ years of experience in Data Science, Decision Science, Business Analytics, or Advanced Analytics.
• Strong proficiency in Python, SQL, and statistical analysis.
• Experience with predictive modeling, regression analysis, classification, clustering, and forecasting.
• Knowledge of machine learning algorithms and model evaluation techniques.
• Experience with data visualization tools such as Tableau or Power BI.
• Strong understanding of experimental design, A/B testing, and statistical inference.
• Excellent analytical, problem-solving, and communication skills.
• Ability to explain complex analytical concepts to non-technical audiences.

Preferred Qualifications

• Master’s degree in Data Science, Statistics, Business Analytics, Economics, or a related field.
• Experience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform.
• Knowledge of big data technologies such as Apache Spark or Databricks.
• Familiarity with machine learning deployment and MLOps concepts.
• Experience in customer analytics, marketing analytics, pricing optimization, supply chain analytics, or financial modeling.
• Experience with Generative AI, Large Language Models (LLMs), or AI-assisted analytics is a plus.

Technical Skills

Programming Languages

• Python
• SQL
• R (Preferred)

Data Science & Analytics

• Statistical Analysis
• Predictive Modeling
• Machine Learning
• Time Series Forecasting
• Optimization Techniques
• A/B Testing
• Experimental Design
• Regression Analysis
• Classification & Clustering

Libraries & Frameworks

• Pandas
• NumPy
• Scikit-learn
• Statsmodels
• XGBoost
• LightGBM

Data Visualization

• Tableau
• Power BI
• Matplotlib
• Plotly

Databases

• PostgreSQL
• MySQL
• Snowflake
• BigQuery

Cloud Platforms

• AWS
• Microsoft Azure
• Google Cloud Platform (GCP)

Soft Skills

• Analytical and critical thinking.
• Business problem-solving mindset.
• Strong communication and presentation skills.
• Stakeholder management.
• Cross-functional collaboration.
• Attention to detail.
• Project management and organization.
• Continuous learning and adaptability.

Preferred Certifications

• Microsoft Certified: Azure Data Scientist Associate
• AWS Certified Machine Learning – Specialty
• IBM Data Science Professional Certificate
• SAS Certified Data Scientist