Senior Decision Scientist, Salesforce
$148.5-246k
Salary is partially dependent on location
World's leading CRM provider
Posted today
World's leading CRM provider
1001+ employees
Posted today
$148.5-246k
Salary is partially dependent on location
1001+ employees
Company mission
To empower companies to connect with their customers in a whole new way.
Role
Who you are
- Proven Experience: 5+ years of hands-on experience in data science, decision science, or quantitative analytics, with a proven track record of delivering insights and models that influence product strategy
- Agentic AI & Automation: Practical experience building agentic workflows, integrating LLMs, or automating complex data pipelines using modern AI frameworks. You actively leverage AI to build smarter, faster analytics systems
- Technical Proficiency: Strong proficiency in statistical programming languages (Python or R) and modern data science tools, alongside advanced SQL skills for complex data extraction and feature engineering
- Quantitative Foundation: Master’s degree (or Bachelor’s with equivalent practical experience) in a quantitative discipline (e.g., Computer Science, Engineering, Economics, Statistics, or Applied Mathematics)
- Communication & Collaboration: Excellent written and verbal communication skills, with a demonstrated ability to synthesize technical details for product and business partners
- Ownership & Drive: A strong bias for action and personal accountability, comfortable navigating ambiguity and working independently in a dynamic, matrixed environment
What the job involves
- 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
- Delivering everything from financial forecasting and customer health to adoption insights and curated data, Data Solutions serves as the unbiased partner to every data trailblazer across Salesforce
- As part of this organization, Cloud Analytics operates as the strategic product analytics engine, partnering directly with cloud leadership to drive high-stakes decision-making through rigorous metrics and insights
- Sitting within Cloud Analytics as a forward-deployed partner to AgentExchange, this role collaborates hand-in-hand with product, engineering, and data leadership to co-build the foundations, core metrics, strategic insights, and autonomous agents driving the product forward
- Decision Support & Strategic Guidance: Apply rigorous quantitative and statistical methods, including experimentation, causal inference, tradeoff analysis, and modeling under uncertainty to inform product initiatives and diagnose complex business challenges. Deliver clear recommendations that drive product and business decisions
- Stakeholder Partnership: Partner directly with product managers, engineering leads, and cross-functional stakeholders to translate complex analytical findings into clear, actionable business recommendations
- Agentic Systems & AI Lifecycle: Architect, evaluate and govern autonomous AI agents to automate complex data science tasks, accelerating our analytical throughput and decision systems. Incorporate AI solutions into daily analytical workflows to drive faster time-to-insight
- Roadmap Execution: Contribute technical expertise to the AgentExchange product analytics roadmap, taking end-to-end ownership of project execution and delivery
- Metrics & Insights: Define, build, and track key performance indicators to monitor AgentExchange adoption, feature health, and long-term user engagement
- Peer Leadership: Practice and promote high standards for technical rigor, code quality, and documentation, providing informal mentorship to peers across the Cloud Analytics organization
Our take
Salesforce is a global cloud computing company, best known for its on-demand, comprehensive customer relationship management (CRM) solutions. The company was launched to mitigate the doubts that business owners felt regarding third party companies holding their data.
By providing essential, customer-oriented CRM software, Salesforce places itself at the heart of digitised businesses. Furthermore, by building out its AI capabilities, the company removes the complexity of AI, enabling any business to deliver smarter, personalised and more predictive customer experiences.
Due to the continued innovation offered by the company, over 150,000 companies, both big and small, are growing their business with Salesforce today. Despite a tumultuous 2023 filled with activist investors, a boardroom shake-up and the unprecedented step-down of Co-CEO Bret Taylor, Salesforce continues to close several acquisition deals and managed to drive up its stock value by 96% from the end of 2022 to 2023.
Steph
Company Specialist at Welcome to the Jungle
Insights
-8% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Jun 2001
$46.9m
SERIES D
Nov 1999
$13.2m
SERIES C
Total funding: $64.5m
Company benefits
- With 9 standard holidays and four floating holidays, you get a total 13 paid days off each year
Company HQ
SoMa, San Francisco, CA
Leadership
Marc Benioff
(Chair & CEO)Previously Senior Vice President at Oracle Corporation for 13 years.
Parker Harris
(CTO)Previously worked as a Software Engineer for over six years. Harris also co-founded Left Coast Software.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job
View 429 more jobs at Salesforce