
Director of Data Science
Salesforce
full-time
Posted on:
Location Type: Hybrid
Location: San Francisco • California • Illinois • United States
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Salary
💰 $216,300 - $313,700 per year
Job Level
Tech Stack
About the role
- Build, lead, and scale a high-impact data science team
- Manage and develop a team of senior and principal Product Data Scientists
- Partner closely with Product, Design, Engineering (PDE), and Data Engineering leadership
- Ensure data science is deeply embedded in product development
- Guiding what we build, how we define success, and how we iterate and improve at scale
- Set clear priorities and expectations for the team
- Apply advanced data science and analytical techniques
- Guide evidence-based analyses to identify key drivers of product growth, engagement, and long-term success
- Define, standardize, and oversee key product success metrics
- Serve as a technical and methodological leader for product data science
- Champion data-informed decision-making
- Collaborate closely with Data Engineering and data platform teams
Requirements
- 7+ years of experience in data science or quantitative analysis
- Advanced degree (MS, PhD) in a quantitative field (e.g., Mathematics, Economics, Statistics, Physics, Quantitative Psychology, Engineering, etc.) is a strong plus
- Strong fluency in at least one data science programming language (e.g., Python, R)
- Experience working with large-scale data technologies and AI tools
- Strong executive communication skills
- Proven cross-functional collaboration and influencing skills
- Experience guiding the design and evolution of scalable data pipelines, schemas, and instrumentation
- Deep understanding of statistical and machine learning methodologies
- Expertise in product data science measurement and experimentation methodologies
Benefits
- time off programs
- medical
- dental
- vision
- mental health support
- paid parental leave
- life and disability insurance
- 401(k)
- employee stock purchasing program
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data sciencequantitative analysisPythonRstatistical methodologiesmachine learning methodologiesdata pipelinesdata schemasdata instrumentationanalytical techniques
Soft Skills
leadershipcommunication skillscross-functional collaborationinfluencing skillsdecision-makingprioritizationteam managementguidanceproduct developmentevidence-based analysis
Certifications
advanced degreeMSPhD