Staff Data Scientist

Sprout Social; Canada; Remote; CAD 149,000 - 225,000; Full time

Job summary

A leading company in social media management is looking for a Staff Data Scientist to join their Data Science and AI team. This role involves owning model development, collaborating with cross-functional teams, and shaping strategic analytics direction to drive impactful business outcomes.

Benefits

Flexible paid time off

Wellness initiatives

Ongoing education opportunities

Qualifications

• 7+ years experience in data science or machine learning.
• Strong proficiency in SQL and Python for data analysis.
• Experience driving GTM decision-making through data science solutions.

Responsibilities

• Own model development from data acquisition to deployment.
• Lead collaborations with executives and sales teams.
• Develop frameworks for evaluating business strategies.

Skills

Complex statistical modeling

Strategic data storytelling

SQL

Python

Data visualization

Tools

Tableau

Job description

We know experience is built in a number of ways. Even if your background doesn’t match the exact requirements, we encourage you to apply and share any relevant skills in a cover letter. Sprout welcomes all candidates to apply, including those who identify as BIPOC, women and underrepresented genders in tech, LGBTQIA+, parents, veterans, persons with disabilities and people of all faiths.

Staff Data Scientist

Sprout Social is looking for a Staff Data Scientist 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

• Own end-to-end model development from data acquisition to deployment and monitoring, ensuring insights directly translate into business impact
• Lead cross-functional collaborations with executives, revenue, sales, and finance teams to solve high-ambiguity business challenges, align data science solutions with company-wide GTM objectives, and set standards for the company
• Shape the strategic direction of business analytics, predictive modeling efforts, and self-service insights through BI, ensuring all data products deliver measurable business impact
• Develop causal inference frameworks and advanced experimentation methodologies to evaluate business strategies and optimize decision-making
• Mentor junior data scientists and foster a culture of innovation and cross-team collaboration, encouraging adoption of cutting-edge data science methodologies
• Set the bar for data science technical standards within the organization by defining best practices, establishing quality frameworks, and creating scalable processes for consistent excellence

What you’ll bring

We're looking for an experienced and passionate data scientist who has demonstrated thought leadership in developing Data Science solutions for go-to-market challenges. If you excel at complex statistical modeling, strategic data storytelling, and mentoring teams 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 in data science, machine learning, or advanced analytics, including hands-on development of models that drive GTM decisions
• 7+ 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

Preferred qualifications for this role include:

• Experience setting technical direction in ambiguous environments and defining processes that scale
• Deep expertise in cutting-edge statistical, and machine learning methods, with a focus on solving complex business-oriented problems such as customer lifetime value prediction, churn analysis, forecasting, and segmentation
• Strong background in model services, deployment technologies, and ML-Ops practices with ownership of production systems
• Advanced experience with cloud services and databases such as GCP, AWS, and Azure
• Track record of designing self-service analytics solutions that empower revenue, finance, sales, and GTM teams to access insights independently
• Experience communicating data science concepts to diverse audiences, from technical teams to executive leadership

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, available data, and technical architecture
• Begin meeting with various departments and stakeholders to understand existing problem spaces and strategic needs
• Work with leadership to identify high-impact areas where you can drive technical excellence

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

• Lean an analytics initiative with cross-functional impact
• Begin mentoring team members and influencing technical direction
• Identify opportunities to raise the bar for DS standards at Sprout
• Continue learning about Sprout's products, customers, and business structure to suggest new strategic data projects that will impact growth

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

• Delivering high-value analytics assets that provide strategic insights to executive stakeholders
• Contributing to our longer-term roadmap of data and analytics at Sprout
• Defining best practices and guiding strategy for our GTM data science practice
• Establishing yourself as a thought leader within the organization for Data Science
• Building strong relationships with department leaders and executives

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

• Leading the development of sophisticated data science solutions that transform data into actionable insights driving measurable business impact
• Identifying and championing new opportunities for data science-backed capabilities
• Mentor junior team members while elevating the technical excellence of the entire team and establishing analytics best practices at Sprout
• Representing Sprout's data science expertise externally where appropriate
• 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.

The base pay range for this role is $149,600 (min), $187,000 (mid), $224,400 (max) CAD annually. Individual base pay is based on various factors, including work location, relevant experience and skills, the responsibility of the role, and job duties/requirements.

The listed ranges represent the full earning potential in this position. Starting salaries for well-qualified new hires are typically around the midpoint of the range. These ranges were determined by a market-based compensation approach; we used data from trusted third-party compensation sources to set equitable, consistent, and competitive ranges. We also evaluate compensation bi-annually, identify any changes in the market and make adjustments to our ranges and existing employee compensation as needed.

Base pay is only one element of an employee's total compensation at Sprout. Every Sprout team member has an opportunity to receive restricted stock units (RSUs) under Sprout’s equity plan. We have outlined the various components to an employee’s full compensation package here to help you to understand our total rewards package.
#LI-Remote

Sprout Social Inc. and its subsidiaries process personal data submitted through your application to assess your qualifications for employment and to inform our hiring decision and, where applicable, for required governmental reporting. For more information, please review Sprout's Global Applicant Privacy Notice .

Sprout Social is a global leader in social media management and analytics software. Sprout’s intuitive platform offers comprehensive social media management solutions, including publishing and engagement functionality, customer care, influencer marketing, advocacy, and AI-powered business intelligence to more than 30,000 brands. Founded in 2010, Sprout has a hybrid team located across the globe. Sprout Social has been recognized as a Glassdoor Best Places to Work, PEOPLE Companies that Care, Great Place to Work Best Workplace for Parents and more.

Sprout Social powers open communication between individuals, brands and communities through elegant, sophisticated software. We are relentless about solving hard problems for our customers and committed to both customer and team success. Our team’s shared belief in Sprout’s mission promotes a culture of openness, empowerment and fun.

Sprout Social is looking for a Staff Data Scientist 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

• Own end-to-end model development from data acquisition to deployment and monitoring, ensuring insights directly translate into business impact
• Lead cross-functional collaborations with executives, revenue, sales, and finance teams to solve high-ambiguity business challenges, align data science solutions with company-wide GTM objectives, and set standards for the company
• Shape the strategic direction of business analytics, predictive modeling efforts, and self-service insights through BI, ensuring all data products deliver measurable business impact
• Develop causal inference frameworks and advanced experimentation methodologies to evaluate business strategies and optimize decision-making
• Mentor junior data scientists and foster a culture of innovation and cross-team collaboration, encouraging adoption of cutting-edge data science methodologies
• Set the bar for data science technical standards within the organization by defining best practices, establishing quality frameworks, and creating scalable processes for consistent excellence

What you’ll bring

We're looking for an experienced and passionate data scientist who has demonstrated thought leadership in developing Data Science solutions for go-to-market challenges. If you excel at complex statistical modeling, strategic data storytelling, and mentoring teams 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 in data science, machine learning, or advanced analytics, including hands-on development of models that drive GTM decisions
• 7+ 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

Preferred qualifications for this role include:

• Experience setting technical direction in ambiguous environments and defining processes that scale
• Deep expertise in cutting-edge statistical, and machine learning methods, with a focus on solving complex business-oriented problems such as customer lifetime value prediction, churn analysis, forecasting, and segmentation
• Strong background in model services, deployment technologies, and ML-Ops practices with ownership of production systems
• Advanced experience with cloud services and databases such as GCP, AWS, and Azure
• Track record of designing self-service analytics solutions that empower revenue, finance, sales, and GTM teams to access insights independently
• Experience communicating data science concepts to diverse audiences, from technical teams to executive leadership

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, available data, and technical architecture
• Begin meeting with various departments and stakeholders to understand existing problem spaces and strategic needs
• Work with leadership to identify high-impact areas where you can drive technical excellence

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

• Lean an analytics initiative with cross-functional impact
• Begin mentoring team members and influencing technical direction
• Identify opportunities to raise the bar for DS standards at Sprout
• Continue learning about Sprout's products, customers, and business structure to suggest new strategic data projects that will impact growth

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

• Delivering high-value analytics assets that provide strategic insights to executive stakeholders
• Contributing to our longer-term roadmap of data and analytics at Sprout
• Defining best practices and guiding strategy for our GTM data science practice
• Establishing yourself as a thought leader within the organization for Data Science
• Building strong relationships with department leaders and executives

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

• Leading the development of sophisticated data science solutions that transform data into actionable insights driving measurable business impact
• Identifying and championing new opportunities for data science-backed capabilities
• Mentor junior team members while elevating the technical excellence of the entire team and establishing analytics best practices at Sprout
• Representing Sprout's data science expertise externally where appropriate
• 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.

The base pay range for this role is $149,600 (min), $187,000 (mid), $224,400 (max) CAD annually. Individual base pay is based on various factors, including work location, relevant experience and skills, the responsibility of the role, and job duties/requirements.

The listed ranges represent the full earning potential in this position. Starting salaries for well-qualified new hires are typically around the midpoint of the range. These ranges were determined by a market-based compensation approach; we used data from trusted third-party compensation sources to set equitable, consistent, and competitive ranges. We also evaluate compensation bi-annually, identify any changes in the market and make adjustments to our ranges and existing employee compensation as needed.

Base pay is only one element of an employee's total compensation at Sprout. Every Sprout team member has an opportunity to receive restricted stock units (RSUs) under Sprout’s equity plan. We have outlined the various components to an employee’s full compensation package here to help you to understand our total rewards package.
#LI-Remote

Sprout Social Inc. and its subsidiaries process personal data submitted through your application to assess your qualifications for employment and to inform our hiring decision and, where applicable, for required governmental reporting. For more information, please review Sprout's Global Applicant Privacy Notice .

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Do you have 7+ years of professional experience in data science, machine learning, or advanced analytics? * Select...

Do you have 7+ years of hands-on experience using SQL for complex data querying and transformation, and using Python for statistical modeling? * Select...

Have you developed and deployed data science models specifically intended to drive Go-to-Market (GTM), sales, or revenue decisions? * Select...

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Please describe your single most impactful project where you used data science to solve a GTM, sales, or finance-related challenge. In your description, please specify:a. The business problem you were solving.b. The data and modeling techniques you used (e.g., SQL, Python, specific libraries/models).c. The quantifiable business impact or outcome that resulted from your work (e.g., revenue increase, cost savings, churn reduction). *

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