Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

Tailor your resume to this Senior Decision Scientist role.

Rezi rewrites your resume against Salesforce's job description. Free.

Resume score gauge reading 58 out of 100

Don't guess if your resume is good enough.

See how it scores against the Senior Decision Scientist posting at Salesforce — free, in seconds.

About the Role

Salesforce is seeking a Senior Decision Scientist to join the Product & Success Analytics team within Data Solutions. This role will serve as a strategic partner to product, engineering, and data leaders, focusing on building foundational data architectures, key performance metrics, and AI-driven capabilities to drive product adoption. The Senior Decision Scientist will be a lead technical authority, leveraging advanced data science and quantitative analytics to power mission-critical operational systems, owning the modeling, data architecture, and statistical rigor behind product adoption telemetry.

Responsibilities

Partner directly with business stakeholders to translate complex compensation strategies and operational goals into precise quantitative requirements and data definitions.
Perform deep-dive data exploration, scenario modeling, and historical backfills on underlying usage and telemetry tables to quantify the impact of proposed metric changes.
Design, build, and statistically validate scoring logic and underlying data pipelines, ensuring calculations are robust and audit-ready.
Serve as the lead Decision Scientist for designing and executing M&A data integration frameworks, transitioning signal ingestion from a manual to an automated model.
Apply rigorous quantitative methods to inform product initiatives, advise senior leadership, and translate complex insights into clear business strategies.
Architect, evaluate, and govern autonomous AI agents to automate complex data science tasks, incorporating AI solutions into daily analytical workflows.
Own analytical health, automated anomaly detection, and root-cause data investigations for product adoption telemetry, reducing SLAs for bug resolution.
Elevate the team's technical bar by establishing best practices for statistical rigor and feature engineering while mentoring peers.

Requirements

8+ years of hands-on experience in Data Science, Decision Science, Advanced Analytics, or Quantitative Product Analysis in enterprise SaaS environments.
Proven track record of deploying models that move business needles.
Demonstrated experience architecting agentic workflows, orchestrating LLMs, or building automated, self-correcting data science systems.
High proficiency in statistical programming languages (Python or R) and modern data science stacks.
Exceptional SQL skills for complex feature engineering and database performance tuning.
Proven track record applying data science to business metrics, health scoring algorithms, or incentive compensation structures across Sales and Customer Success organizations.
Exceptional communication skills with the ability to build trust with C-suite executives, align technical teams, and tell a compelling story with data.
A "get-it-done" mindset with a strong bias for action, comfortable operating with high autonomy in a global, matrixed environment.

Skills

Data Science
Decision Science
Advanced Analytics
Quantitative Product Analysis
Agentic AI
LLMs
Automated Data Science Systems
Python
R
SQL
Statistical Modeling
Quantitative Analytics
Experimentation
Causal Inference
Tradeoff Analysis
Feature Engineering
Anomaly Detection
Root-Cause Analysis

Location

Select cities within the San Francisco and New York City metropolitan area

Work Type

Full-time

Experience Level

8+ years

Education Level

Master's degree or MBA in a highly quantitative discipline (e.g., Computer Science, Engineering, Economics, Statistics, or Applied Mathematics)

Salary/Compensations

$172,500 - $260,100 annually (US)
$207,800 - $285,800 annually (Select cities within the San Francisco and New York City metropolitan area)

Benefits

Time off programs
Medical
Dental
Vision
Mental health support
Paid parental leave
Life and disability insurance
401(k)
Employee stock purchasing program

About the Company

Salesforce is the #1 AI CRM, where humans with agents drive customer success together.
The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Agentforce is the future of AI, and you are the future of Salesforce.
Data Solutions is the force that propels Salesforce into the AI era, informing—through trusted data and artificial intelligence—the path forward to be smarter in every dimension.
Product & Success Analytics operates as the strategic product analytics engine, partnering directly with CSG leadership to drive high-stakes decision-making through rigorous metrics and insights.

Equal Opportunity

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment.
Salesforce believes in equality for all and aims to lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination.
Workplace discrimination is illegal.
Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law.
This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey.
It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between.
Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit.
The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.