Senior Data Scientist (GTM)

Location: California - San Francisco, United States

Base salary: $148,500–$223,900 annually; $178,900–$246,000 annually in select cities within the San Francisco and New York City metropolitan areas.

Company

hirify.global operates as part of Salesforce, an AI CRM company developing tools for customer success and AI-powered work.

What you will do

• Partner with GTM leadership, Sales Strategy, Sales Programs, Product, Finance, and Data teams to identify strategic opportunities and influence business decisions.
• Apply statistical methods, experimentation, causal inference, and advanced analytics to understand customer behavior and sales performance.
• Develop predictive models, segmentation frameworks, forecasting methodologies, and measurement strategies for GTM planning and execution.
• Analyze revenue growth, customer adoption, operational efficiency, field productivity, and business impact.
• Build scalable analytical frameworks and trusted datasets with Data Engineering.
• Translate complex analyses into executive presentations, dashboards, narratives, and actionable recommendations.

Requirements

• 4+ years of industry experience in data science, statistics, or quantitative analysis.
• Advanced SQL and proficiency in Python, R, or Scala.
• Strong knowledge of 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 platforms.
• Ability to communicate complex analytical findings to executive and cross-functional audiences.
• Related technical degree required.

Nice to have

• Master's degree or PhD in a quantitative discipline.
• Experience supporting Sales, Marketing, Customer Success, Finance, or other GTM organizations.
• Expertise in experimental design, A/B testing, causal inference, forecasting, or machine learning.
• Experience developing production-quality analytical models and operationalizing data science solutions with engineering teams.
• Experience applying AI and machine learning to business decision making, operational efficiency, or customer experiences.

Culture & Benefits

• Positive, diverse, supportive, and collaborative work environment.
• Medical, dental, vision, and mental health support.
• Paid parental leave, life and disability insurance, and time-off programs.
• 401(k) and employee stock purchasing program.
• Reasonable accommodations are available during the application and recruiting process.