Staff Data Scientist

Job Summary:

This job will design and implement advanced data science models to support business needs. You will work with stakeholders to understand requirements and deliver solutions. Your role involves driving best practices in data science, ensuring data quality, and mentoring junior scientists.

Job Description:

Essential Responsibilities:

• Lead and manage data science projects, ensuring timely delivery and alignment with business goals.
• Develop and maintain data models, algorithms, and reporting systems to support data analysis and decision-making.
• Analyze complex datasets to identify trends, patterns, and insights that drive strategic initiatives.
• Collaborate with cross-functional teams to understand data needs and provide actionable insights.
• Ensure data quality and integrity through regular audits and validation processes.
• Mentor and guide junior data scientists, fostering a culture of continuous learning and improvement.

Minimum Qualifications:

• 5+ years relevant experience and a Bachelor's degree OR any equivalent combination of education and experience.

Additional Responsibilities & Preferred Qualifications:

• Bachelor's degree with at least 8 years of professional experience, or a master's degree with at least six years of experience.
• Strong data science and analytical skills, with the ability to structure and execute complex analyses and build business cases that evaluate benefits, costs, risks, and trade-offs.
• Advanced proficiency in SQL and Python, with hands-on experience working with large and complex datasets.
• Proficiency in Excel, statistical techniques, data visualization, and PowerPoint.
• Ability to use AI and advanced analytics to build reusable solutions for portfolio measurement, A/B testing, strategy optimization, and performance analysis.
• Must have experience in end-to-end product experimentation, product analytics, causal inference, and Python/SQL.
• Experience applying machine learning techniques to support product/business decision-making.
• Strong understanding of experimental design, test-and-learn methodologies, and performance measurement.
• Demonstrated ability to translate analytical findings into practical business strategies and implementation requirements.
• Excellent verbal and written communication skills, including the ability to present complex findings succinctly to senior management.
• Strong collaboration and influencing skills, with the ability to align stakeholders across Product, GTM, Engineering, and other Data Science teams.
• Proactive and adaptable, with the ability to work effectively under pressure and manage multiple priorities simultaneously.
• Ability to work independently, identify and resolve issues, and recommend improvements to strategies and processes.

Travel Percent:

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