Senior Data Scientist, Sprout Social

• We’re looking for an experienced and passionate data scientist who is eager to collaborate with sales, marketing, revenue, and other departments and provide data-driven solutions to business leaders.
• 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

Desirable

• Sprout Social is looking for a Senior Data Scientist to join its Data Science and AI team
• 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
• Within 1 month, you’ll plant your roots, including:
• Complete Sprout’s New Hire training program alongside other new Sprout team members
• Learn about our team’s data science and data analytics best practices
• Become familiar with our existing services and available data
• Begin meeting with various departments and stakeholders to understand existing problem spaces and needs
• Work with your manager to define the first project you’ll work on and start the data analysis process
• Within 3 months, you’ll start hitting your stride by:
• Contribute to an analytics initiative
• Continue learning about Sprout’s products, customers, and business structure to suggest new data projects that will impact growth
• Within 6 months, you’ll be making a clear impact through:
• Delivering your first analytics asset(s), providing actionable insights to stakeholders
• Contribute to our longer-term roadmap of data and analytics at Sprout
• Define best practices and guide strategy for our GTM data science practice
• Within 12 months, you’ll make this role your own by:
• Continuing to develop data science solutions to transform data into actionable insights driving business impact
• Identify new opportunities for data science-backed capabilities
• Continue to build relationships with department leaders and executives
• Contribute to elevating the technical excellence of the team and analytics best practices at Sprout
• Expand your skills by learning from other data analysts and data scientists at Sprout
• Surprise us! Use your unique ideas and abilities to change your team in beneficial ways that we haven’t even considered yet