29 applicants

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Company

Original Job Post

Salesforce · 1 week ago

Principal Data Scientist

San Francisco, CA

Full-time

Hybrid

Senior Level

$204K/yr - $323K/yr

10+ years exp

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AppsCloud Computing

H1B Sponsorship

Actively Hiring

Comp. & Benefits

Insider Connection @Salesforce

Discover valuable connections within the company who might provide insights and potential referrals, giving your job application an inside edge.

Responsibilities

Partner with cross-functional teams to understand business problems, produce insights, and inform infrastructure strategy at Salesforce

Lead and 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.

Continuously improve algorithmic performance with a focus on complex time series forecasting in the capacity management and FinOps space.

Mentor team members and suggest improvements to reduce time-to-insight and mature our data science lifecycle.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Machine LearningData SciencePythonCI/CDQAAgile MethodologiesAWSMicrosoft AzureStatisticsData TransformationPandasSklearnSQLSparkTime Series ForecastingMlFlowAirflowDockerProblem-SolvingTeamworkCommunicationData TechnologiesPrestoHive

Required

A related technical degree required

10+ years of industry experience and a passion for crafting, analyzing and deploying machine learning-based solutions in production environments

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 or Microsoft Azure

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

Excellent communication skills with the ability to interact directly with internal stakeholders

Preferred

Experience working with data technologies that allow effective storage and analysis of large amounts of data (e.g. Spark, Presto, Hive, etc.)

Experience in time series forecasting methods

Benefits

Equal pay

Employee resource groups

Inclusive benefits

Company

Salesforce

Glassdoor

4.1

Salesforce is a cloud-based software company that provides customer relationship management software and applications.

Founded in 1999

San Francisco, California, USA

10,001+ employees

https://www.salesforce.com

H1B Sponsorship

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Distribution of Different Job Fields Receiving Sponsorship

Trends of Total Sponsorships

2023 (1485)

2022 (1712)