Senior Data Scientist

About the Role

Key Responsibilities

• Identify opportunities within the business and proactively partner with business leaders to develop models using advanced ML and AI techniques to unlock stronger, more streamlined business performance
• Build, validate, and deploy predictive forecasting models to predict demand, revenue, and market trends
• Design and execute A/B tests and multivariate experiments to measure the impact of pricing changes and promotional strategies
• Build elasticity models and scenario simulations to forecast revenue, margin, and adoption under different pricing and promotional strategies
• Apply statistical and machine learning methods to identify patterns, trends, and insights
• Understand business objectives and translate them into data-driven solutions
• Gather, clean, and validate structured and unstructured data from multiple sources
• Conduct rigorous testing of models, ensuring reasonable results and reporting back to leadership on outcomes
• Monitor and report on model performance
• Develop recommendations to improve model accuracy
• Translate complex analytical findings into clear, actionable insights with recommendations to improve performance
• Partner with leaders in Product, IT, and Brand leadership to implement tools that leverage the models, changing data outputs into a fully functioning product
• Maintain well-documented, reproducible code and workflows
• Stay current with industry trends, tools, and best practices in data science
• Proactively suggest new approaches and methodologies to enhance decision-making by leadership
• Collaborate with cross-functional teams (IT, product, finance, operations) to evolve data science approaches and integrate the latest business insights and trends

Requirements

• BA or BS in Data Science, Computer Science, Mathematics, or other degree with equivalent work experience in advanced analytics or business forecasting roles. Advanced Degree is preferred.
• 4-6 years of experience in roles that leverage data analysis, statistical modeling, or machine learning, including experience leading projects
• Hands-on experience leveraging statistical packages in Python for statistical analysis and leveraging SQL to query data
• Experience using data visualization software like Tableau or PowerBI is a plus
• Experience working with funnel optimization, user segmentation, cohort analyses, time series analyses, and regression models
• Excellent communication and interpersonal skills
• Experience managing cross-functional projects with multiple stakeholders
• Proven track record of partnering with executive-level audiences to identify opportunities, build frameworks for models, and deliver recommendations
• Ability to excel in a fast-paced environment, take direction, and handle multiple priorities

Nice to Have

• Experience using data visualization software like Tableau or PowerBI

Benefits & Perks

• Annual salary range of $120,000-$140,000
• Generous benefits package including paid time off, health, dental, and vision insurance, and a 401(k) savings plan with match