Principal Data Scientist

Salesforce

. Establish strong partnerships with product stakeholders to identify opportunities, prioritize roadmaps, and implement execution excellence .

Posted 9/17/2026full-timeSan Francisco • California • United StatesLead💰 $172,500 - $313,700 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in product data science with a strong focus on evidence-based decision-making, data modeling, and cross-functional collaboration. Proficient in SQL and programming languages for data science, with a solid foundation in statistics and large-scale data technologies.

Highest-signal resume keywords

Product Data ScienceSQL ProficiencyData ModelingStatistical AnalysisLarge-Scale Data Technologies

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLPythonRScalaStatisticsMachine LearningCausal InferenceAnalytical Problem-SolvingData EvaluationSuccess Metric Frameworks

Soft Skills

CommunicationCollaborationInfluencing

Tools & Technologies

Apache AirflowSparkPrestoHiveHadoop

Industry Keywords

Product DevelopmentData ScienceTech IndustryEvidence-Based Decision-MakingUser Experience

Tech Stack

Tools & technologies

AirflowApacheHadoopPythonScalaSparkSQLGo

About the role

Key responsibilities & impact

Establish strong partnerships with product stakeholders to identify opportunities, prioritize roadmaps, and implement execution excellence
Evangelize evidence-based decision-making by partnering with key leaders and driving accessibility of data and insights
Perform evidence-based evaluations of drivers for increased adoption of Slack product capabilities
Build success metric frameworks and self-serve reporting to monitor Slack product health
Prototype foundational data models and partner with Data Engineering to elevate them into canonical sources of truth
Contribute to the design and implementation of Slack's agentic data delivery platform
Quantitatively identify product opportunities to improve user experiences and unlock business value
Partner with Product Researchers to align roadmaps and collaborate on projects answering complex questions
Work closely with Product, Design, Engineering, and Go-To-Market teams to shape product development, success measurement, and iteration

Requirements

What you’ll need

5+ years of experience in product data science in related tech industries
Consistent record of using data to drive product teams to achieve ambitious goals and influence company-level outcomes
Advanced proficiency in SQL
Proficiency in at least one programming language for data science, such as Python, R, or Scala
Knowledge of workflow orchestration tools like Apache Airflow is highly desirable
Strong foundation in statistics, experimentation, causal inference, ML, and analytical problem-solving
Experience with large-scale data technologies such as Spark, Presto, Hive, Hadoop, or similar distributed data platforms
Proven ability to communicate complex analytical findings clearly to executive and cross-functional audiences
A related degree required
BS degree in a quantitative field such as Computer Science, Economics, or Physics
Advanced degree (MS, PhD) is a strong plus

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 eligible roles
Equity may be available for eligible roles