Data Scientist, Salesforce
SMTS
$172-236.5k
Office located in San Francisco, CA or Palo Alto, CA
World's leading CRM provider
Posted today
World's leading CRM provider
1001+ employees
Posted today
$172-236.5k
Office located in San Francisco, CA or Palo Alto, CA
1001+ employees
Company mission
To empower companies to connect with their customers in a whole new way.
Role
Who you are
- A related technical degree required
- 6+ years of industry experience and a passion for crafting, analyzing, and deploying machine learning-based solutions
- Experience working as part of a team with mature data science products
- Consistent record in building data science products using modern development lifecycle methodologies: CI/CD, QA, and Agile Methodologies
- Experience deploying, monitoring, and maintaining data science products in cloud environments, such as AWS
- Good understanding of Machine Learning methods and Statistics, including data science project lifecycle and associated challenges at each stage of development
- Proficient at writing good quality, well-documented and tested, scalable code – Python preferred. Experience with tools like mlFlow, Airflow, Docker, and cloud platforms such as AWS/GCP is ideal
- Solid understanding of data transformations and analytics functions using tools/languages like Pandas, Sklearn, SQL, and Spark
- Proven experience in machine learning engineering with a focus on time series forecasting
- Familiarity with LLM applications in data science, including prompt engineering and generative insight workflows, is a plus
- Excellent communication skills with the ability to interact directly with internal stakeholders
What the job involves
- We are seeking a talented and motivated Data Scientist with experience deploying, monitoring, and maintaining predictive models to join our dynamic Cloud Economics and Capacity Management team
- In this role, you will collaborate with internal stakeholders to understand their requirements, design innovative time series forecasting solutions, and contribute to the development, release, and maintenance of time series forecasting models
- As a technical lead within our team, you will have the unique opportunity to directly impact the efficiency of Salesforce's global infrastructure.You will also play a key role in advancing our use of large language models (LLMs) to accelerate insight generation
- By integrating LLMs with our forecasting and cost data, you'll help automate root cause analysis, generate proactive recommendations, and reduce the time from data to decision for infrastructure stakeholders
- Partner with cross-functional teams to understand business problems, produce insights, and inform infrastructure strategy at Salesforce
- Participate in the requirement, design, and development discussions driving improvements to the data science lifecycle
- Develop and deploy production-ready models that contribute to actionable insights for capacity planners, financial analysts, service owners, and technical leaders
- Apply LLMs and prompt engineering to automate the generation of insights and explanations from time series forecasts and anomalies
- Continuously improve algorithmic performance with a focus on complex time series forecasting in the capacity management and FinOps space
- Collaborate effectively with team members and suggest improvements to reduce time-to-insight and mature our data science lifecycle
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
Financial District, 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 392 more jobs at Salesforce