Senior Data Scientist

Summary

Join Sprout Social's Data Science and AI team as a Senior Data Scientist to lead the development of statistical models and data analysis, collaborating with various teams to solve complex business challenges and drive revenue growth. You will drive business analytics, predictive modeling, and self-service insights, applying data science methodologies to optimize decision-making. Translate complex data insights into compelling narratives for stakeholders and executives. Empower team growth by upholding standards and fostering a culture of excellence and collaboration. This role requires 5+ years of experience as a data scientist working with non-technical stakeholders and proven ability to translate insights into actionable strategies. The ideal candidate will have broad expertise in statistical, ML, and AI methods and experience with model services and cloud services.

Requirements

• 5+ years of experience as a data scientist working with non-technical stakeholders
• 5+ 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

• Lead the end-to-end development of statistical models and data analysis, managing projects from concept to delivery
• Work closely with various go-to-market teams to solve complex business challenges, driving revenue growth for the company
• Drive a wide range of business analytics, strategic analysis, predictive modeling efforts, and self-service insights through BI ensuring insights are actionable, timely, impactful, and aligned with strategic goals
• Apply data science methodologies, including experimentation and causal analysis, to evaluate business strategies and optimize decision-making
• Translate complex data insights into compelling narratives tailored for stakeholder and executive audiences, ensuring clarity, relevance, and impact on GTM decision-making
• Empower team growth by upholding our standards and fostering a culture of excellence and collaboration

Preferred Qualifications

• Comfortable leading projects in an ambiguous environment and defining processes
• Broad and deep expertise in statistical, ML and AI methods, with a focus on solving business-oriented problems such as customer lifetime value prediction, churn analysis, forecasting, and segmentation
• Experience with model services, deployment technologies, and ML-Ops practices
• Familiar with cloud services and databases such as GCP, AWS, and Azure
• Experience designing self-service analytics tools that enable revenue, finance, sales, and GTM teams to access insights independently

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, employee-led diversity, equity and inclusion initiatives and mentorship programs for aspiring leaders
• Growing corporate social responsibility program that is driven by the involvement and passion of our team members