Staff Business Data Scientist

Salesforce

. Partner with Slack Growth teams to understand business drivers and accelerate growth .

Posted 10/2/2026full-timeUnited StatesLead💰 $172,500 - $260,100 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates advanced proficiency in SQL and programming languages such as Python, R, or Scala, with a strong foundation in statistics and analytical problem-solving. Capable of synthesizing insights and communicating complex findings to influence strategic decision-making and identify growth opportunities.

Highest-signal resume keywords

Advanced Proficiency In SQLProgramming Language Proficiency (Python, R, Scala)Quantitative Analysis Experience (5+ Years)Statistical Analysis And ExperimentationCollaboration With Marketing And Growth Teams

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Quantitative AnalysisStatistical AnalysisCausal InferenceMachine LearningData ModelingAnalytical Problem-SolvingExperiment DesignGrowth AnalysisData VisualizationForecasting

Soft Skills

CommunicationCollaborationInfluencing StakeholdersNarrative SynthesisProblem-Solving

Tools & Technologies

AI ToolsAnalytical ToolsSelf-Service Reporting ToolsData Engineering ToolsExploratory Data Analysis Tools

Industry Keywords

Growth StrategyCustomer Behavior AnalysisBusiness StrategyGo-To-Market StrategyLifecycle Marketing

Tech Stack

Tools & technologies

PythonScalaSQLGo

About the role

Key responsibilities & impact

Partner with Slack Growth teams to understand business drivers and accelerate growth
Synthesize insights into crisp narratives and present them to senior leadership
Develop frameworks for identifying patterns and trends in customer behavior
Build self-service tools and reports to promote awareness and understanding of key metrics
Work with Data Engineering teams to build core data models powering operational and exploratory data analyses
Identify growth opportunities, forecast performance, and deliver impactful analyses and models
Partner with Data Engineering, Business Strategy & Operations, Go-To-Market, and Product, Design, and Engineering teams

Requirements

What you’ll need

5+ years of professional industry experience doing quantitative analysis
A related technical degree required
BS degree in a quantitative field such as Computer Science, Economics, or Physics
Advanced proficiency in SQL
Proficiency in at least one programming language for data science, such as Python, R, or Scala
Strong foundation in statistics, experimentation, causal inference, ML, and analytical problem-solving
Proven ability to communicate complex analytical findings to influence stakeholders and strategic decision making
Experience designing, running, and analyzing growth-focused experiments preferred
Experience applying analytics to uncover potential growth opportunities preferred
Successful collaboration with Marketing, Growth, Go-To-Market, and/or Lifecycle teams preferred
Experience using AI / agentic tools for analysis and building reusable analytical tools preferred

Benefits

Comp & perks

Time off programs
Medical insurance
Dental insurance
Vision insurance
Mental health support
Paid parental leave
Life insurance
Disability insurance
401(k)
Employee stock purchasing program
Incentive compensation may be available for certain roles
Equity may be available for certain roles