Staff Business Data Scientist

Staff Business Data Scientist

📍 Location: San Francisco, California, United States(Hybrid)

🏢 Industry: Software Development

💼 Work Setting: Hybrid

Are you passionate about turning complex data into actionable insights that drive business growth and strategic decision-making?

We are seeking a Staff Data Scientist to help shape data-driven strategies, uncover growth opportunities, and build scalable analytical solutions. In this role, you'll collaborate with cross-functional teams, develop advanced models, and empower stakeholders with insights that influence key business outcomes.

What You'll Do

• Partner with business and growth teams to identify key drivers of performance and growth opportunities.
• Analyze large and complex datasets to generate actionable insights and recommendations.
• Develop analytical frameworks to measure business impact and support strategic decision-making.
• Design and evaluate experiments to optimize products, processes, and customer outcomes.
• Build predictive and statistical models to solve business challenges.
• Create self-service analytics tools, dashboards, and data products that enable teams to make informed decisions.
• Communicate findings and recommendations effectively to technical and non-technical stakeholders.
• Collaborate with product, engineering, and business teams to drive data-centric solutions.

What We're Looking For

• Bachelor's, Master's, or higher degree in Statistics, Mathematics, Computer Science, Economics, Data Science, or a related quantitative field.
• 5+ years of professional experience in quantitative analysis, data science, analytics, or a related discipline.
• Strong proficiency in

SQL

for data extraction, transformation, and analysis.

• Hands-on experience with at least one programming language such as

Python

,

R

, or

Scala

.

• Strong knowledge of:
• Statistical analysis
• Data modeling
• Machine learning techniques
• Experimentation and A/B testing
• Causal inference methodologies
• Data visualization and storytelling
• Experience working with large-scale datasets and analytics platforms.

Preferred Qualifications

• Advanced experience building predictive and recommendation models.
• Strong business acumen with the ability to translate data into strategic insights.
• Experience developing scalable analytical tools and self-service reporting solutions.
• Excellent communication and stakeholder management skills.
• Experience mentoring analysts or data science professionals.