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Lead Data Scientist, Growth Marketing

Salesforce · Posted Sep 18

Customer relationship management, cloud computing, enterprise software, and artificial intelligence solutions

India - HyderabadFull-timeHybridLead/Staff8+ years₹60.0L–₹90.0L yearly100+ applicants
Cloud ComputingEnterprise SoftwareCustomer Relationship ManagementArtificial IntelligenceSaaSPublic Company
Full time

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About the role

Slack is the work operating system that brings people, apps, processes and data together with trusted generative and agentic AI. We are seeking a visionary Lead Data Scientist, Growth Marketing to define the analytical strategy and drive the quantitative engine for Slack’s global web presence. In this senior-most individual contributor role, you will bridge deep technical data science with high-level business strategy, connecting web behavioral insights directly to business impact such as customer acquisition, enterprise pipeline generation, and lifetime value.

What you will do

  • Macro Connection: Connect top- and mid-funnel web behavior directly to core business outcomes, enterprise ARR, pipeline velocity, and customer lifetime value (LTV).
  • Strategic Roadmap: Partner with executive leadership (VPs, SVPs) across Marketing, Product, and Growth Engineering to align web analytics and experimentation strategies with multi-year company growth targets.
  • Opportunity Prioritization: Identify macro trends, unaddressed user segments, and high-leverage growth opportunities through deep quantitative research and exploratory data analysis.
  • Global Framework Ownership: Lead and evolve Slack’s web experimentation strategy, setting institutional standards for statistical rigor, hypothesis formulation, power analysis, and sample size estimation.
  • Methodological Depth: Deploy advanced statistical techniques, such as variance reduction (CUPED), sequential testing, synthetic controls, and quasi-experimental designs to measure true incremental lift in complex digital environments.
  • Experimentation Culture: Drive best practices across product and growth teams to eliminate bias, manage interference/network effects, and scale experiment volume without compromising data integrity.
  • Analytics & Privacy Stack: Serve as the principal architect for the digital measurement ecosystem (e.g., GA4, Adobe Analytics, server-side tracking, GTM) in a privacy-first, first-party data landscape.
  • Predictive & Behavioral Modeling: Build and operationalize session-stitching, multi-touch pathing analysis, propensity modeling, and advanced behavioral clustering (e.g., K-Means) to profile visitors into targetable segments.
  • Scalable Data Ecosystem: Collaborate with Data Engineering to design robust web data pipelines and automated reporting layers that support self-service insights for growth teams.
  • Technical Mentorship: Act as a force multiplier by coaching, mentoring, and guiding data analysts and junior/mid-level data scientists on statistical methodology, SQL/Python code quality, and strategic thinking.
  • Team & Pod Leadership: Demonstrate the aptitude and leadership (formal or informal) to lead project pods, manage sprint priorities, or transition into team management as the analytics organization expands.
  • Rigor & Governance: Establish peer review standards for analytical models, code repositories, and experimental documentation across the growth analytics team.
  • Leadership Storytelling: Synthesize complex statistical findings into clear, impactful executive narratives for VPs, SVPs, and C-suite leaders, framing analytics around strategic ROI and business trade-offs.
  • Cross-Functional Alignment: Translate quantitative insights into actionable product and marketing roadmaps that align cross-functional stakeholders around high-impact growth initiatives.

Skills used in this role

SQLPythonRGA4Adobe AnalyticsGoogle Tag ManagerTableauLookerK-meansCUPEDCausal InferenceBayesian StatisticsFrequentist StatisticsMachine LearningClusteringPropensity ModelingA/B TestingExperimentationServer-Side TrackingFirst-Party Data

What the employer is looking for

  • 8+ years of experience in Data Science, Quantitative Analytics, or Growth Analytics, ideally within high-growth B2B SaaS, enterprise tech, or large-scale digital platforms.
  • Expert Causal Inference & Statistics: Deep expertise in p-values, confidence intervals, Bayesian vs. Frequentist approaches, CUPED, quasi-experiments, and causal inference frameworks.
  • Advanced Coding & Data Science Tools: Fluent in SQL and Python or R for pathing analysis, propensity modeling, and machine learning/clustering techniques.
  • Web Stack & Privacy: Proven experience navigating server-side tracking, tag management (GTM/GA4), and first-party data strategies in privacy-restricted environments.
  • Visualization & Reporting Architecture: Experience building automated, executive-ready dashboarding systems (e.g., Tableau, Looker).
  • Leadership & Mentorship Track Record: Demonstrated experience guiding, mentoring, or managing data analysts and data scientists. Prior team management experience or clear potential/desire to manage quantitative teams.

Benefits and support

  • Compensation and benefits are detailed in the job posting

About Salesforce

Salesforce, Inc. is a leading global cloud-based enterprise software company specializing in customer relationship management (CRM) and artificial intelligence solutions. Through its integrated Customer 360 platform, the company provides applications for sales, customer service, marketing automation, e-commerce, and analytics. Powered by innovations like Agentforce, Salesforce helps businesses bridge human capability with autonomous AI agents to drive customer success.

Industry
Cloud Computing
Company size
87000+ employees
Founded
1999
Location
San Francisco, California, USA
Funding stage
Public Company

Funding

Public Company · $25B raised

Emergence CapitalMeritech Capital PartnersSunBridgeStarboard ValueWilliam Hambrecht
  • 2026-03Post-IPO Debt$25B
  • 2003-01Venture Round$1M
  • 2001-06Series D$46.9M
  • 1999-11Series C$13.2M
  • 1999-06Series B$3.8M

Leadership

MB
Marc Benioff

Chair, Chief Executive Officer & Co-Founder

RW
Robin Washington

President & Chief Operating and Financial Officer

PH
Parker Harris

Co-Founder & Chief Technology Officer, Slack

DS
David Schmaier

President & Chief Strategy Officer