Senior Data Scientist, Salesforce
Applied AI
$148.5-285.8k
Salary is dependent on location
Office located in Palo Alto, CA
World's leading CRM provider
Posted today
World's leading CRM provider
1001+ employees
Posted today
$148.5-285.8k
Salary is dependent on location
Office located in Palo Alto, CA
1001+ employees
Company mission
To empower companies to connect with their customers in a whole new way.
Role
Who you are
- 5+ years of experience in Data Science, Machine Learning, Applied AI, or a related technical field
- Master's or Ph.D. in Computer Science, Data Science, Statistics, Mathematics, Operations Research, Machine Learning, or a related quantitative field, or equivalent practical experience
- Strong experience with Large Language Models (LLMs), Generative AI, and AI agents
- Experience with prompt engineering, context engineering, and Retrieval-Augmented Generation (RAG)
- Experience fine tuning and adapting foundation models for domain specific applications
- Experience applying reinforcement learning and modern model optimization techniques
- Strong foundation in machine learning, statistics, experimentation, and causal inference
- Experience designing A/B tests and interpreting experimental results
- Proficiency in Python and common machine learning frameworks
- Experience with speech, multimodal AI, conversational AI, or voice agents is a plus
- Experience monitoring and continuously improving machine learning models in production
- Excellent communication and collaboration skills, with the ability to influence cross functional teams and executive stakeholders
- Large Language Models (LLMs)
- Generative AI
- AI Agents
- Prompt Engineering
- Context Engineering
- Foundation Model Fine Tuning
- Reinforcement Learning (RL)
- Retrieval-Augmented Generation (RAG)
- Machine Learning
- Statistical Modeling
- Experiment Design and A/B Testing
- Causal Inference
- Predictive Analytics
- Python
- AI Evaluation and Benchmarking
- Responsible AI
- Speech and Multimodal AI
- Data Visualization
What the job involves
- Our Data Science team builds the next generation of enterprise AI systems powering conversational agents, voice experiences, language models, and intelligent automation
- We work across the entire AI stack, from data and model development to evaluation, safety, and production optimization, to deliver reliable, trustworthy AI at enterprise scale
- We're looking for a Senior Data Scientist who is passionate about applying machine learning, statistics, and generative AI to solve complex real world problems. You'll work closely with engineers, product managers, researchers, and business stakeholders to build, optimize, and evaluate AI systems that deliver measurable customer impact
- Design and execute experiments to evaluate and improve the quality of large language models (LLMs), voice/text AI systems, multimodal models, and long horizon task agents
- Build scalable evaluation datasets, benchmarks, and automated evaluation frameworks across language, speech, reasoning, and agent workflows
- Analyze large-scale product, customer, and model telemetry to identify failure modes, performance bottlenecks, and opportunities for improvement
- Develop statistical models, predictive analytics, and experimentation frameworks to measure model quality, user experience, and business impact
- Develop, optimize, and evaluate prompts, system instructions, retrieval strategies, and context engineering techniques to improve performance, reliability, efficiency, and safety of AI applications
- Fine-tune and adapt foundation models to improve task specific performance, efficiency, and enterprise readiness using supervised learning, reinforcement learning, and other modern techniques
- Design and curate high quality datasets for model training, evaluation, and continuous improvement of AI systems
- Partner with cross functional stakeholders to define AI product requirements, success metrics, experimentation strategies, and data driven roadmaps
- Build dashboards, analytics pipelines, and reporting frameworks that provide actionable insights into AI quality, reliability, customer experience, and business outcomes
- Apply statistical inference, causal analysis, and machine learning techniques to solve challenging product and operational problems
- Develop scalable evaluation methodologies for Responsible AI, including safety, robustness, fairness, security, and governance
- Communicate technical findings and recommendations clearly to both technical and executive audiences
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.
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