Senior Applied AI/ML Scientist, Sprout Social

• We’re looking for an experienced AI and ML scientist who embraces challenges, practices a growth mindset, and is eager to collaborate with a variety of stakeholders to provide data-driven solutions to business leaders and to Sprout Social’s customers
• If you excel at experimenting with and implementing AI/ML techniques, continuously improving capabilities, and driving innovation, we’d love to talk with you!
• 5+ years of applied experience in AI/ML and data science, working with technical and non-technical stakeholders to drive impactful solutions
• 5+ years of experience developing models in Python using ML frameworks (e.g. PyTorch, TensorFlow, XGBoost, LGBM, NumPy, pandas) and strong proficiency in SQL and RESTful APIs for querying, transforming, and analyzing large datasets to drive product vision
• Broad and deep expertise in analytical, statistical, and AI/ML methods, with a focus on product improvement, solving customer pain points, and improving user experiences
• A track record of leading development of AI/ML solutions that resulted in quantifiable business impact

Desirable

• Sprout Social is looking for a Senior Applied AI/ML Scientist to join its Data Science and AI team
• Lead the design, development, and deployment of features that leverage data science, machine learning (ML), and generative AI technologies
• Deliver tangible impact on some of Sprout Social’s highest priority corporate goals, to the benefit of our customers
• Develop frameworks for evaluation and measurement of AI features to increase speed and quality of product enhancements
• Establish strong partnerships with internal stakeholders, product, design, and software engineering to help shape the product strategy and implementation of AI solutions across Sprout Social
• Effectively communicate AI capabilities, limitations, and product implications, ensuring alignment between technical possibilities, stakeholder needs, and product vision
• Within 1 month, you’ll plant your roots, including:
• Complete Sprout’s New Hire training program alongside other new Sprout team members
• Meet and learn from assigned onboarding resources
• Become familiar with our existing features, available data, and best practices
• Begin meeting with various stakeholders to understand existing problem spaces and needs
• Work with your manager to define the first project you’ll make an impact with
• Within 3 months, you’ll start hitting your stride by:
• Contribute to an AI/ML initiative
• Continue learning about Sprout’s products, customers, and business structure to suggest new features that will increase customer value delivery
• Within 6 months, you’ll be making a clear impact through:
• Delivering your first AI/ML related feature(s) or process improvement(s)
• Contribute to our longer-term roadmap of AI at Sprout
• Refine best practices and guide strategy for our AI/ML feature development process
• Within 12 months, you’ll make this role your own by:
• Continuing to develop impactful AI/ML solutions
• Identify new opportunities for AI/ML capabilities
• Continue to build relationships with business unit leaders, stakeholders, and executives
• Contribute to elevating the technical excellence of the team and AI/ML best practices at Sprout
• Expand your skills by learning from the team and staying current with industry trends and SOTA research
• Surprise us! Use your unique ideas and abilities to change your team in beneficial ways that we haven’t even considered yet
• Of course what is outlined above is the ideal timeline, but things may shift based on business needs and other projects and tasks could be added at the discretion of your manager