UNKNOWN

FEED

Working with senior data scientists and experimental collaborators, the successful candidate will contribute analyses, models, and reusable workflows to a data-driven discovery ecosystem where data, analytics, and experimentation continuously inform one another. Leveraging its differentiated RAS(ON) tri-complex inhibitor platform, the company is advancing a broad, integrated portfolio of oral RAS(ON) inhibitors designed to directly target the active, cancer-driving state of RAS.

YEAR

Revolution Medicines, Inc.

Machine Learning Scientist II, Drug Discovery Analytics

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Proficiency with common ML and DL libraries (e.g., scikit-learn, NumPy, SciPy, PyTorch, TensorFlow/Keras), NLP/LLM libraries and APIs (e.g., Hugging Face libraries, LangChain or LlamaIndex, frontier model APIs, cloud and data platform APIs), and computer vision libraries (e.g., OpenCV, scikit-image, PIL, torchvision). This role requires deep expertise in machine learning and scientific leadership, with the ability to evaluate new technologies, incubate novel capabilities, and guide teams developing AI-enabled products in regulated healthcare environments.

Edwards Lifesciences Corp

Principal Scientist, AI / ML

OTHER

The Ceribell System is a novel, point-of-care electroencephalography (“EEG”) platform specifically designed to address the unmet needs of patients in the acute care setting, and is being used in hundreds of community hospitals, large academic facilities and major IDN's across the country. 7+ years of relevant research and/or industry experience in signal processing, filtering, statistical data analysis, time-series analysis, pattern recognition, feature engineering, machine learning and algorithm development.

Ceribell, Inc

Senior/Staff Data Scientist

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The Ceribell System is a novel, point-of-care electroencephalography ("EEG") platform specifically designed to address the unmet needs of patients in the acute care setting, and is being used in hundreds of community hospitals, large academic facilities and major IDN's across the country. 7+ years of relevant research and/or industry experience in signal processing, filtering, statistical data analysis, time-series analysis, pattern recognition, feature engineering, machine learning and algorithm development.

Ceribell

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Actalent Inc

Data Scientist II

You will begin with our OpenADMET effort, turning high-throughput ADMET datasets into chemical insight that serves both Octant's drug programs and the open science community, and broaden into internal platform work over your first year. Collaborate with drug discovery scientists to translate OpenADMET capabilities into platform tools that benefit Octant's program teams, and help shape and prioritize assay and tool development.

Octant Bio

Scientist, Cheminformatics

Operating with a high level of independence and accountability, the role partners closely with pricing actuaries, underwriting, claims, distribution, product, and IT professionals to translate business questions into analytical solutions, implement models into pricing workflows, and monitor performance over time. Farm Family specializes in farm and ranch protection with a wide range of products including flexible farm packages, business owner policies, commercial package, workers compensation, commercial auto and select personal auto coverage.

Argo Group International Holdings Inc

Sr P&C Data Scientist

Socure sits on one of the most consequential datasets in the world - a global identity graph spanning hundreds of millions of identities, incorporating PII, device signals, behavioral telemetry, network relationships, selfie and document images, and a continuous feedback loop of real-world fraud and verification outcomes across thousands of clients. Serve as the connective tissue between external signals - regulatory guidance, legislative changes, CFPB and FinCEN trends, macroeconomic shifts that alter fraud incentives, emerging typologies from industry consortia - and Socure's internal research, modeling, and product roadmaps.

Socure

Head Of Data Science - Core Insights

Socure sits on one of the most consequential datasets in the world — a global identity graph spanning hundreds of millions of identities, incorporating PII, device signals, behavioral telemetry, network relationships, selfie and document images, and a continuous feedback loop of real-world fraud and verification outcomes across thousands of clients. Serve as the connective tissue between external signals — regulatory guidance, legislative changes, CFPB and FinCEN trends, macroeconomic shifts that alter fraud incentives, emerging typologies from industry consortia — and Socure's internal research, modeling, and product roadmaps.

Head of Data Science - Core Insights

As a Data Science Intern, you will join our Data Science Team in Summer 2027 (May-August) to work shoulder to shoulder with seasoned data scientists and engineers focused on increasing the impact of Rippling’s product, go-to-market, risk, finance, and operations teams. Rippling interns gain experience doing the work of full-time data scientists, including building data products, machine learning models, AI-assisted analytics workflows, and production pipelines.

Rippling

Data Science Intern - Summer 2027

You will proactively identify, collect, and organize datasets that enable LLMs to perform complex reasoning tasks, while also developing scalable systems and tooling that integrate cutting-edge research with robust engineering. The Role As a Research Scientist with a focus on data-centric large language model (LLM) development, your role will center on advancing the frontiers of how LLMs reason, retrieve, and interact with external information sources.

Institute of Foundation Models

Research Scientist

Develop multi-modality, multi-objective iterative protein sequence optimization approaches to lab-in-the-loop antibody design problems for validation and deployment in our high-throughput wet lab - at BigHat success is only declared upon synthesis of real antibodies with drug-like properties. Work closely with an interdisciplinary team of drug developers, wet lab scientists, automation specialists, data scientists, etc. to identify inefficiencies or potential improvements in BigHat's platform, and plan and prioritize ML methods development accordingly.

BigHat Biosciences Inc

Principal, Machine Learning Scientist

Alignment Healthcare is a data and technology driven healthcare company focused on partnering with health systems, health plans, and provider groups to provide care delivery that is preventive, convenient, coordinated, and that results in improved clinical outcomes for seniors. Build and fine-tune models predicting member-level risk of low CAHPS domain scores, including Getting Needed Care, Getting Appointments and Care Quickly, Customer Service, Care Coordination, Rating of Health Care Quality, and Rating of Health Plan.

Alignment Healthcare Inc

Data Scientist

Alignment Healthcare is a data and technology driven healthcare company focused on partnering with health systems, health plans, and provider groups to provide care delivery that is preventive, convenient, coordinated, and that results in improved clinical outcomes for seniors. This role is responsible for modeling member-level physical and mental health trajectories, identifying the clinical and operational drivers behind HOS measure performance, and translating those insights into targeted interventions that move specific Star Rating cut points.

Data Scientist - HOS Analytics

Increase scientist leverage by building the agentic layer of our discovery workflows: encode cheminformatics methods as tools that AI agents use to propose, triage, and analyze compounds alongside program scientists with the appropriate strategies and safeguards for decision making. The Navigator is an expanding set of drug discovery and development capabilities with three interwoven components that operate together: Generative Biology- Multiplexed measurements from engineered sensors in human cells to understand cellular mechanisms.

Scientist, Discovery Cheminformatics

In financial crimes risk management, Quantifind's solution uniquely combines internal financial institution data with public domain data to assess risk in the context of Know Your Customer (KYC), Customer Due Diligence (CDD), Fraud Risk Management, and Anti-Money Laundering (AML) processes. Quantifind's development team is centered in Palo Alto, California, and we have technology hubs in Atlanta, Georgia, and Washington, D.C. Quantifind is currently using a hybrid mix of working from home and in the office, with regular in-person touchpoints and shared office space.

Quantifind, Inc.

PERMANENT

Our highly skilled team of Applied AI/ML Scientists specialize in developing algorithmic solutions for recommender systems, spend optimization, lifetime value (LTV) predictions, and much more. As an Applied AI/ML Scientist tech lead, you will own vision, strategy, and execution for a set of problems that power Faire's two-sided marketplace, connecting hundreds of thousands of independent brands and retailers.

Faire

Staff Applied AI/ML Scientist

Staff Applied Ai/Ml Scientist

Whether you're developing predictive models, enhancing AI-driven capabilities, strengthening data governance, or uncovering insights that influence key decisions, you'll play a critical role in shaping how SageSure uses data and intelligence to lead the future of insurance. We have more than 1,000 employees in a distributed workforce environment across 12 offices-Fairfield, CA; Mountain View, CA; Cheshire, CT; Jacksonville, FL; Tallahassee, FL; Tampa, FL; Chicago, IL; Jersey City, NJ; Marlton, NJ; Cincinnati, OH; Houston, TX; Sheboygan, WI-who are tackling the industry's toughest challenges.    .

SageSure Insurance Managers

Director Data Science

The work spans 3 areas: risk models that score which open risks and control weaknesses convert to breaches; GenAI systems that remove manual effort from requirement translation, control testing, and regulatory reporting, with human approval gates at every stage; and the evaluation science behind every model and agent the team ships. You own problems from formulation to production: framing the science question with Compliance and 1LoD partners, designing experiments and backtests, building and validating models, and shipping them into the pipelines, reports, and tools that RCS teams use.

At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life. 
Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet. 
It’s Always Day 1 
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter <a href="https://hiring.amazon.com/why-amazon/culture#/">here</a> 
Our Leadership Principles 
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit <a href="https://www.amazon.jobs/principles" target="_blank">https://www.amazon.jobs/principles</a>

Data Scientist Jobs in California

Machine Learning Scientist II, Drug Discovery Analytics Revolution Medicines, Inc.

Principal Scientist, AI / ML Edwards Lifesciences Corp

Senior/Staff Data Scientist Ceribell, Inc

Senior/Staff Data Scientist Ceribell

Data Scientist II Actalent Inc

Scientist, Cheminformatics Octant Bio

Sr P&C Data Scientist Argo Group International Holdings Inc

Head Of Data Science - Core Insights Socure

Head of Data Science - Core Insights Socure

Data Science Intern - Summer 2027 Rippling

Research Scientist Institute of Foundation Models

Principal, Machine Learning Scientist BigHat Biosciences Inc

Data Scientist Alignment Healthcare Inc

Data Scientist - HOS Analytics Alignment Healthcare Inc

Scientist, Discovery Cheminformatics Octant Bio

Data Scientist Quantifind, Inc.

Staff Applied AI/ML Scientist Faire

Staff Applied Ai/Ml Scientist Faire

Director Data Science SageSure Insurance Managers

Senior Applied Scientist, Risk and Compliance Solutions (RCS) Amazon.com Inc

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