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Scribe Therapeutics
Alameda, CA, United States
Scribe Therapeutics is a molecular engineering company focused on creating best-in-class in vivo therapies that permanently treat the underlying cause of disease. Founded by CRISPR inventors and leading molecular engineers Benjamin Oakes, Brett Staahl, David Savage, and Jennifer Doudna, Scribe is overcoming the limitations of current genome editing
Job Source: Scribe TherapeuticsPivotal Life Sciences
San Francisco, CA, United States
Pivotal Life Sciences - AI Data Scientist - Job Description Intro If WHO you work for & with and WHY your company exists is at the top of your list of criteria for choosing your next opportunity, we encourage you to take a look at the roles we are hiring for at Pivotal Life Sciences (PLS) and join our growing team of data scientists/engineers wor
Job Source: Pivotal Life Sciencesramblr.ai
San Francisco, CA, United States
Machine Learning,ML,AI,Engineer,Data Scientist,Munich,San FranciscoRAMBLR - THE EGOCENTRIC DATA COMPANY ! We are building an AI-driven data pipeline to unlock next-gen Augmented Reality. In pursuit of this mission, we are leveraging cutting-edge computer vision and deep learning. We are continually searching for new ramblrs for our offices in San
Job Source: ramblr.aiWhatnot
San Francisco, CA, United States
???? Whatnot Whatnot is a livestream shopping platform and marketplace backed by Andreessen Horowitz, Y Combinator, and CapitalG. We’re building the future of ecommerce, bringing together community, shopping and entertainment. We are committed to our values , and as a remote-first team, we operate out of hubs within the US, Canada, UK, and Germany
Job Source: WhatnotSPAN
San Francisco, CA, United States
Our Mission SPAN develops products that accelerate the rapid adoption of renewable energy in the home. The flagship SPAN Smart Panel is the first true evolution for the traditional home electric panel, harnessing enhanced technology for metering, monitoring, and control. An expanded product suite of intelligent, integrated solutions radically lowe
Job Source: SPANAutodesk
San Francisco, CA, United States
Job Requisition ID # 24WD74815 Position Overview Are you excited about the idea of using data to make the world a better place? Building operations today is highly inefficient. Up to 50% of maintenance expenditure is ineffective, 30% of energy is wasted due to poor design and/or operational decisions, and as much as 50% of t
Job Source: AutodeskeTeam Inc.
San Francisco, CA, United States
Objectives of the project Legacy Server platform migration to a new platform Understanding the needs of customers and performing the migration for the customer Working on ways to automate and improve internal system processes Developing, testing, executing, examining scripts and analyzing results Identifying technical problems and developing update
Job Source: eTeam Inc.B-Stock
San Mateo, CA, United States
JOB SUMMARY B-Stock is actively seeking a talented and experienced Machine Learning/Data Scientist to join our dynamic team. The ideal candidate should have a strong background in machine learning, expertise in using Google Cloud Platform (GCP) and Vertex AI, proficiency in Python, and a track record of success in price prediction, categorization,
Job Source: B-StockSan Francisco, CA, United States
Why work with us? You’ll get the chance to be an early team member at a fast-growth YC startup. We truly believe it’s all about slope — not where you start but how fast we are growing and iterating
We are growing insanely fast and are well-funded. This is a once-in-a-lifetime opportunity to join our rocketship at an inflection point!
We’re a tight-knit, intense team, where you'll learn a ton and have ownership
We have raised capital from the some of the best VCs (Y Combinator, Union Square Ventures) and angels (Sam Altman and founders of Doordash, Dropbox, Plaid, Opendoor, Unity) in the world
Work with seasoned second-time founders
Help transition the massive B2B economy online and help small business owners thrive
What you'll do Build and deploy new models and constantly iterate on core risk models by developing new features, evaluating different modeling techniques and create differentiated strategies for each customer segment
Manage large datasets, ensuring data quality, consistency, and reliability throughout the modeling process
Evaluate new private and/or public data sources; interact with vendors to assess external data products
Monitor model performance and proactively identify model deficiencies
Collaborate closely with credit risk, customer success and GTM to align data science effort with business goals; provide timely support for questions or issues impacting customer experience or credit results
Collaborate with data engineering teams to optimize data infrastructure and workflows
Prepare documentation and reports for model development and validation processes; ensure model compliance with regulatory requirements and internal risk management standards
Requirements 5+ years experience in advanced statistical modeling with strong technical skills, preferably in both model development and deployment
Master’s or Ph.D. in Quantitative Finance, Statistics, Computer Science, Mathematics, Economics, or related field
Experienced with machine learning concept and risk modeling techniques such as regression, decision trees and boosting; experience with building data products using LLM is strongly preferred
Strong skill set with Python (including sklearn, pandas, numpy, etc.) and SQL
Experience with consumer / small business lending and payments risk management (credit and/or fraud); knowledge of using alternative data sources for underwriting, such as e-commerce and accounting data, is strongly preferred
Excellent written and verbal communication skills; ability to clearly explain data science work and collaborate with stakeholders to execute
Attention to detail, strong work ethic, and a relentless drive; enjoy a fast-paced and results-driven culture
Excel and enjoy a collaborative and in-person workplace
Comfortable with handling ambiguity and creating processes from scratch. We are growing fast and still learning
A demonstrated ability to get stuff done. In an ideal world, you’ve worked in a fast-growing company and know what we should be doing today, in one year, and in two years
Self-directed and able to work with minimal supervision
Iterative mindset
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Email Alert for Data Scientist jobs in San Francisco, CA, United States
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