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SoFi
San Francisco, CA, United States
Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their g
Job Source: SoFiLawrence Berkeley National Laboratory
Berkeley, CA, United States
The Berkeley Lab is seeking a Data Scientist (Computer Systems Engineer 4/5) to spearhead groundbreaking projects at the Computational Cosmology Center (C3). C3 is focused on developing cutting-edge tools and technologies essential for advancing modern cosmology by managing data from leading-edge missions like CMB-S4 and the Simons Observatory. E
Job Source: Lawrence Berkeley National LaboratorySalesforce
San Francisco, CA, United States
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software Engineering Job Details About Salesforce We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help compani
Job Source: SalesforceFLYR
San Francisco, CA, United States
Our Vision FLYR is focused on the relentless application of advanced and intuitive technologies that help transportation leaders unlock their ultimate potential. FLYR is a technology company that is purpose-built for the travel industry. Leveraging deep learning, an advanced form of AI, FLYR is helping airlines, cargo, and hospitality businesses
Job Source: FLYRWarner Bros. Discovery
San Francisco, CA, United States
Welcome to Warner Bros. Discovery... the stuff dreams are made of. Who We Are... When we say, "the stuff dreams are made of," we're not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD's vast portfolio of iconic content and beloved brands, are the storytellers bringing our charact
Job Source: Warner Bros. DiscoveryWalmart
San Bruno, CA, United States
Position Summary... What you'll do... As the Principal Data Scientist, Marketing Data Science , you will lead the development of world-class analytics within the Walmart US Marketing team. You and your team are responsible for providing insights about retail and product marketing performance and optimization opportunities for our marketers, produ
Job Source: WalmartAt-Bay
San Francisco, CA, United States
USE YOUR DATA MODELING EXPERIENCE TO HELP DRIVE INFORMED BUSINESS DECISIONS Why you should join our Modeling team: As a Principal Data Scientist on the Modeling team, you will work under the Risk function alongside talented team members in pricing, risk analytics, and decision engines, while closely collaborating with the Cyber Research, Insuranc
Job Source: At-BayUnity Technologies
San Francisco, CA, United States
San Francisco, CA, USA Principal Data Scientist Location San Francisco, CA, USA Department Data & Analytics Requisition ID JOBREQ-2412375 Role description The Opportunity At Unity, our Inclusion is driven by one overarching framework: Empathy, Respect, and Opportunity. In a collaborative, fast-growing environment, we are solving hard prob
Job Source: Unity TechnologiesSan Francisco, CA, United States
About Us : Salesforce is the world's #1 AI CRM platform. Our Cloud Economics and Capacity Management team plays a crucial role in developing thoughtful, data-driven tools that empower internal partners to optimize infrastructure cost and utilization at a global scale, spanning both 1st Party and Public Cloud providers. We use sophisticated data science techniques to transform petabytes of data into actionable predictions, providing business insights to internal partners.
Position Overview : We are seeking a versatile 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 partners to understand their requirements, design innovative time series forecasting solutions, and chip in 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.
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.
Qualifications:
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 Skills:
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
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Email Alert for Principal Data Scientist jobs in San Francisco, CA, United States
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