Description

Sprout Social is looking for a Staff Data Scientist, GTM to join its Data Science and AI team.

Why join Sprout’s Data Science and 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 and applying them internally to drive our business’s growth trajectory.

What you’ll do

• 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.
• Present data findings to executives in a clear and actionable manner
• Empower team growth by upholding our standards and fostering a culture of excellence and collaboration

What you’ll bring

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. If you excel at statistical modeling and data driven storytelling, all while being motivated by solving critical business problems, we’d love to talk with you!

The minimum qualifications for this role include:

• 7+ years of experience as a data scientist working with non-technical stakeholders
• 5+ years of experience leveraging Python for model development and experience with several ML frameworks such as, scikitlearn, pandas, numpy, etc..
• 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, and segmentation

Preferred qualifications for this role include:

• Comfortable leading projects in an ambiguous environment and defining processes
• Experience with model services, deployment technologies, and ML-Ops practices
• Familiar with cloud services and databases such as GCP, AWS, and Azure

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 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.

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

• Work with your manager to define the first project you’ll work on and start the data analysis process
• Improve current models and develop new statistical models from scratch 
• 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:

• Present your data analysis findings to stakeholders
• Contribute to our longer-term roadmap of data projects and ML models
• Define best practices and guide strategy for our internal data science practice

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

• Continuing to develop new statistical models based on business priorities 
• Identify new opportunities for data science-backed capabilities
• Continue to build relationships with department leaders and executives
• Identify opportunities to create a multiplier effect through your work, making the entire team more productive and generating higher quality AI products
• 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.

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.

When you apply for employment with Sprout Social, we will process your job applicant data, including your employment and education history, transcript, writing samples, and references as necessary to consider your job application for open positions. Your personal data will be shared with Greenhouse Software, Inc., and Crosschq, Inc., cloud services providers located in the United States of America and engaged by Sprout Social to help manage its recruitment and hiring process on Controller’s behalf. Accordingly, if you are located outside of the United States, by clicking “Submit Application” on this site, you consent to the transfer of your personal data to the United States. For more information about our privacy practices please visit our Privacy Policy. California residents have additional rights and should review the Additional Disclosures for California Residents section in our Privacy Policy.

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