Staff Data Scientist

Summary

Join Sprout Social's Data Science and AI team as a Staff Data Scientist. You will own end-to-end model development, lead cross-functional collaborations, shape the strategic direction of business analytics, develop causal inference frameworks, and mentor junior data scientists. The role requires 7+ years of experience in data science and strong proficiency in SQL and Python. A track record of quantifiable business impact is essential. Preferred qualifications include experience setting technical direction, expertise in cutting-edge statistical methods, and experience with cloud services. Sprout offers a comprehensive benefits program including insurance, paid time off, parental leave, wellness initiatives, and professional development opportunities. Compensation is competitive and includes base pay and RSUs.

Requirements

• 7+ years of experience in data science, machine learning, or advanced analytics, including hands-on development of models that drive GTM decisions
• 7+ years of experience driving GTM decision-making through strong proficiency in SQL for querying, transforming, and analyzing large datasets, as well as conducting statistical data analysis in Python, including modeling and data visualization with BI tools like Tableau
• A track record of quantifiable business impact through data science solutions in areas such as revenue, finance, sales, or go-to-market functions, with proven storytelling ability to translate insights into actionable strategies for stakeholders and executives

Responsibilities

• Own end-to-end model development from data acquisition to deployment and monitoring, ensuring insights directly translate into business impact
• Lead cross-functional collaborations with executives, revenue, sales, and finance teams to solve high-ambiguity business challenges, align data science solutions with company-wide GTM objectives, and set standards for the company
• Shape the strategic direction of business analytics, predictive modeling efforts, and self-service insights through BI, ensuring all data products deliver measurable business impact
• Develop causal inference frameworks and advanced experimentation methodologies to evaluate business strategies and optimize decision-making
• Mentor junior data scientists and foster a culture of innovation and cross-team collaboration, encouraging adoption of cutting-edge data science methodologies
• Set the bar for data science technical standards within the organization by defining best practices, establishing quality frameworks, and creating scalable processes for consistent excellence

Preferred Qualifications

• Experience setting technical direction in ambiguous environments and defining processes that scale
• Deep expertise in cutting-edge statistical, and machine learning methods, with a focus on solving complex business-oriented problems such as customer lifetime value prediction, churn analysis, forecasting, and segmentation
• Strong background in model services, deployment technologies, and ML-Ops practices with ownership of production systems
• Advanced experience with cloud services and databases such as GCP, AWS, and Azure
• Track record of designing self-service analytics solutions that empower revenue, finance, sales, and GTM teams to access insights independently
• Experience communicating data science concepts to diverse audiences, from technical teams to executive leadership

Benefits

• Insurance and benefit options that are built for both individuals and families
• Progressive policies to support work/life balance, like our flexible paid time off and parental leave program
• High-quality and well-maintained equipment—your computer will never prevent you from doing your best
• Wellness initiatives to ensure both health and mental well-being of our team
• Ongoing education and development opportunities via our Grow@Sprout program and employee-led diversity, equity, and inclusion initiatives
• Growing corporate social responsibility program that is driven by the involvement and passion of our team members
• Beautiful, convenient, and state-of-the-art offices in Chicago’s Loop and downtown Seattle, for those who prefer an office setting
• Whenever possible, Sprout wants to provide our team with the flexibility to work in the location that makes the most sense for them. Sprout maintains a remote workforce in many places in the United States. However, we are not set up in all states, so please look at the drop-down box in our application to see whether your state is listed. Few roles require an office setting. If your position requires a physical presence in a Sprout office, it will be evident in the job listing and your offer letter