Unreal Gigs
Decision Scientist (The Strategic Data Advisor)
Unreal Gigs, San Francisco, California, United States, 94199
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. Required Skills: Statistical and Analytical Expertise:
Strong background in statistical analysis, machine learning, and decision science techniques, including regression analysis, clustering, and predictive modeling. Data Analysis and Programming Proficiency:
Proficiency in programming languages such as Python, R, or SQL for data analysis and model development. Familiarity with data visualization tools like Tableau or Power BI is beneficial. Experimental Design and A/B Testing:
Experience in designing and interpreting experiments, including A/B tests, to evaluate the effectiveness of business strategies. Business Acumen:
Ability to translate complex data into business insights, with an understanding of key performance indicators and business metrics that impact organizational success. Communication and Data Storytelling:
Excellent communication skills to present insights clearly to both technical and non-technical audiences. You’re able to convey data-driven recommendations in a compelling way. Educational Requirements: Bachelor’s or Master’s degree in Data Science, Statistics, Economics, Business Analytics, or a related field.
Equivalent experience in decision science or business analytics may be considered. Certifications in data science or analytics (e.g., Certified Analytics Professional, Google Data Analytics Professional) are advantageous. Experience Requirements: 3+ years of experience in decision science, data analysis, or business analytics,
with a demonstrated impact on strategic decision-making. Experience working with business functions such as finance, operations, or product management. Background in a specific industry, such as e-commerce, finance, or healthcare, is beneficial but not required. Health and Wellness: Comprehensive medical, dental, and vision insurance plans with low co-pays and premiums. Paid Time Off: Competitive vacation, sick leave, and 20 paid holidays per year. Work-Life Balance: Flexible work schedules and telecommuting options. Professional Development: Opportunities for training, certification reimbursement, and career advancement programs. Wellness Programs: Access to wellness programs, including gym memberships, health screenings, and mental health resources. Life and Disability Insurance: Life insurance and short-term/long-term disability coverage. Employee Assistance Program (EAP): Confidential counseling and support services for personal and professional challenges. Tuition Reimbursement: Financial assistance for continuing education and professional development. Community Engagement: Opportunities to participate in community service and volunteer activities. Recognition Programs: Employee recognition programs to celebrate achievements and milestones.
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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. Required Skills: Statistical and Analytical Expertise:
Strong background in statistical analysis, machine learning, and decision science techniques, including regression analysis, clustering, and predictive modeling. Data Analysis and Programming Proficiency:
Proficiency in programming languages such as Python, R, or SQL for data analysis and model development. Familiarity with data visualization tools like Tableau or Power BI is beneficial. Experimental Design and A/B Testing:
Experience in designing and interpreting experiments, including A/B tests, to evaluate the effectiveness of business strategies. Business Acumen:
Ability to translate complex data into business insights, with an understanding of key performance indicators and business metrics that impact organizational success. Communication and Data Storytelling:
Excellent communication skills to present insights clearly to both technical and non-technical audiences. You’re able to convey data-driven recommendations in a compelling way. Educational Requirements: Bachelor’s or Master’s degree in Data Science, Statistics, Economics, Business Analytics, or a related field.
Equivalent experience in decision science or business analytics may be considered. Certifications in data science or analytics (e.g., Certified Analytics Professional, Google Data Analytics Professional) are advantageous. Experience Requirements: 3+ years of experience in decision science, data analysis, or business analytics,
with a demonstrated impact on strategic decision-making. Experience working with business functions such as finance, operations, or product management. Background in a specific industry, such as e-commerce, finance, or healthcare, is beneficial but not required. Health and Wellness: Comprehensive medical, dental, and vision insurance plans with low co-pays and premiums. Paid Time Off: Competitive vacation, sick leave, and 20 paid holidays per year. Work-Life Balance: Flexible work schedules and telecommuting options. Professional Development: Opportunities for training, certification reimbursement, and career advancement programs. Wellness Programs: Access to wellness programs, including gym memberships, health screenings, and mental health resources. Life and Disability Insurance: Life insurance and short-term/long-term disability coverage. Employee Assistance Program (EAP): Confidential counseling and support services for personal and professional challenges. Tuition Reimbursement: Financial assistance for continuing education and professional development. Community Engagement: Opportunities to participate in community service and volunteer activities. Recognition Programs: Employee recognition programs to celebrate achievements and milestones.
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