Manager – Data Science

Description

Sprout Social is looking for a Manager, Data Science to join its AI team.

Why join Sprout’s AI team? 

Sprout empowers businesses worldwide to harness the immense power and opportunity of social media in today’s digital-first world. Processing over one billion social messages daily, our platform serves up essential insights and actionable information to over 30,000 brands, informing strategic decisions that drive business growth and innovation, and fostering deeper, authentic connections to their end customers. Our full suite of social media management solutions includes comprehensive publishing and engagement functionality, customer care solutions, influencer marketing, connected workflows, and business intelligence. We’re actively working to intuitively weave AI throughout our products, enabling organizations to work smarter, unleash their creativity, and maximize the business impact of social media–that’s where you come in!

What you’ll do

• Lead a team of data scientists and software engineers responsible for the end-to-end  development and deployment of new generative AI product features. 
• Partner with product managers, designers, and engineers from other teams to deliver new capabilities to our customers and define opportunities for applying data science to our products.
• Act as a player-coach, simultaneously working to deliver new data products while overseeing and guiding the work of data scientists and engineers, helping direct and support their professional development.  
• Contributing to shaping our long-term roadmap. 
• Empower team growth by upholding our standards and fostering a culture of excellence and collaboration
• Stay current with the latest AI and ML research, identifying opportunities to integrate innovative solutions into Sprout’s AI capabilities.

What you’ll bring

We’re looking for an experienced and passionate Data Science and AI leader to build exceptional AI products with us, to coach and mentor our growing AI team, and to help shape the future of AI at Sprout. If you are excited about building and leading high performance teams, passionate about growing others, and motivated to make an impact at Sprout through AI, we’d love to talk with you!

The minimum qualifications for this role include:

• 5+ years of progressive experience in the Data Science/AI/ML space
• 2+ years as a manager of data science and/or engineering team and working in cross-functional teams to deploy production-level data products
• Demonstrated experience developing and scaling high-performance teams through hiring and coaching of data scientists and engineers.
• Deep proficiency of the end-to-end ML lifecycle and applying that to a broad range of ML problem spaces
• Proficient with model services, deployment technologies, ML-Ops practices, and cloud services (e.g, GCP, AWS, and Azure)

Preferred qualifications for this role include:

• Experience with generative AI and working in a broad range of ML problem spaces, including classification, regression, time-series, recommendation systems, anomaly detection, and/or natural language processing
• Experience leveraging the Python data science stack for model development and deployment 
• Experience partnering with product and design to articulate and execute an AI roadmap
• Familiar with software engineering best practices and managing software engineers. 

How you’ll grow

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 AI products.
• Learn about our team’s data science and engineering best practices.
• Become familiar with our existing services and available data.
• Begin meeting with stakeholders to define existing problem spaces and needs.
• Get to know the team and start forming your opinions on strengths and opportunities. 

Within 3 months, you’ll start hitting your stride by:

• Identify top priorities for the team, both in terms of product and team operations.
• Continue learning about Sprout’s products and customers to inform a potential roadmap of data-products.
• Participate in Sprout’s Engineering Manager training program. 

Within 6 months, you’ll be making a clear impact through:

• Contribute to our longer-term roadmap of data projects and ML models.
• Define AI and engineering best practices.
• Drive the team operational excellence and improve internal processes and ways of working.
• Take ownership of team’s success and development growth.

Within 12 months, you’ll make this role your own by:

• Elevate the team performance, technical excellence and impact through improved processes, higher quality products, and growing talents in the team.
• Continue to contribute to our AI roadmap.
• Continue to partner with product and design.
• Continue to build relationships with other department leaders.
• Expand your skills by learning from other leaders at Sprout.
• 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. 

Our Benefits Program

We’re proud to regularly be recognized for our team, product and culture. Our benefits program includes:

• 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

Candidates for this remote work opportunity must be based in either British Columbia or Ontario. If you are based in another location within Canada, we aren’t able to hire in your location at this time; however, if you’d like to stay in touch with us in case that changes in the future, please apply and we’ll save your application for possible future consideration.

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