Senior Data Scientist – GTM

Salesforce

. Partner with GTM leadership to identify strategic opportunities, evaluate business performance, and influence key business decisions .

Posted 9/29/2026full-timeUnited StatesSenior💰 $148,500 - $223,900 per yearWebsite

Core Competencies

Role fit

Core Competencies

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

Demonstrates advanced analytical capabilities through statistical methods, predictive modeling, and data science to drive strategic decision-making and business growth. Proficient in SQL and programming languages like Python or R, with experience in collaborating across GTM organizations to influence outcomes.

Highest-signal resume keywords

Advanced SQL ProficiencyPredictive ModelingStatistical AnalysisData Science ExperienceCollaboration with GTM Teams

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Predictive ModelingStatistical AnalysisData ScienceCausal InferenceA/B TestingMachine LearningForecastingAnalytical Problem SolvingWorkflow OrchestrationData Technologies

Soft Skills

Clear CommunicationInfluencing StrategyCross-Functional Collaboration

Tools & Technologies

SQLPythonRApache AirflowSparkPrestoHiveHadoop

Certifications & Qualifications

Related Technical DegreeMaster's Degree or PhD in Related Discipline

Industry Keywords

Go-to-Market StrategySales PerformanceCustomer BehaviorRevenue GrowthOperational Efficiency

Tech Stack

Tools & technologies

AirflowApacheHadoopPythonScalaSparkSQLGo

About the role

Key responsibilities & impact

Partner with GTM leadership to identify strategic opportunities, evaluate business performance, and influence key business decisions
Apply statistical methods, experimentation, and advanced analytics to understand customer behavior, sales performance, and drivers of business growth
Develop predictive models, segmentation frameworks, and forecasting methodologies to improve GTM planning and execution
Design measurement strategies and success metrics to evaluate products, programs, and strategic initiatives
Conduct deep-dive analyses to identify opportunities for revenue growth, customer adoption, operational efficiency, and field productivity
Build scalable analytical frameworks that uncover trends, quantify business impact, and support executive decision making
Partner with Data Engineering to develop trusted datasets and scalable analytical foundations for advanced modeling and experimentation
Collaborate with Product and Sales Strategy to develop intelligence solutions connecting account health, product usage, customer engagement, and seller actions into actionable recommendations
Translate complex analyses into narratives, executive presentations, dashboards, and written recommendations for technical and non-technical audiences
Champion evidence-based decision making across the GTM organization

Requirements

What you’ll need

4+ years of industry experience applying data science, statistics, or quantitative analysis to solve complex business problems
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, predictive modeling, and analytical problem solving
Experience with large-scale data technologies such as Spark, Presto, Hive, Hadoop, or similar distributed data platforms
Ability to communicate complex analytical findings clearly to executive and cross-functional audiences
Experience partnering with Product, Sales, Finance, or other GTM organizations to influence strategic decisions
A related technical degree required
Preferred: Master's degree or PhD in Statistics, Computer Science, Economics, Mathematics, Operations Research, or a related quantitative discipline
Preferred experience supporting Sales, Marketing, Customer Success, Finance, or other Go-to-Market organizations through advanced analytics
Preferred expertise in experimental design, A/B testing, causal inference, forecasting, or machine learning
Preferred experience developing production-quality analytical models and partnering with engineering teams to operationalize data science solutions
Preferred deep understanding of GTM operating models and experience collaborating with Sales Strategy and Sales Programs teams
Preferred ability to independently define ambiguous business problems, develop rigorous analytical approaches, and influence executive-level strategy
Preferred experience applying AI and machine learning techniques to improve business decision making, operational efficiency, or customer experiences

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
Reasonable accommodation during the application or recruiting process