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Every minute. We scan thousands of hiring sources in real-time so you see roles as soon as they go live, often hours before they appear on public job boards.Early access = higher odds of getting interviewed.

Why can I only view limited per day on the free plan?

Free access gives everyone a fair starting point. But seeing every job instantly creates an unfair advantage, so unlimited browsing is reserved for Pro users who want full access to fresh, hidden, and time-sensitive roles. Limiting free browsing also prevents automated scraping by competitors.

What sources do you pull jobs from?

We aggregate from: - company career pages - startup platforms - ATS systems (Greenhouse, Lever, Ashby, Workable, etc.) - niche regional job boards - hidden talent networks not indexed by Google Over 50,000 sources → one unified feed.

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Yes. We automatically remove: - expired listings - spam - shady postings - duplicates - fake "ghost jobs" Every job you see is active, real, and verified at the source.

What’s the benefit of upgrading to Pro?

Pro gives you an information advantage. You unlock: - unlimited job browsing - real-time alerts for your saved filters - early access to newly discovered roles - deeper filtering (salary, remote, visa, experience, etc.) - access to hidden sources most job seekers never find Pro users consistently apply earlier and get significantly higher interview rates.

Can I filter by location, experience, remote, or salary?

Yes and Pro unlocks the power filters job boards don’t show you, including: - roles posted in the last 24 hours - company ATS only - startup-only sources - remote-flex categories - international roles by timezone

Why are early alerts so important?

Most job applications pile up within the first 6–12 hours after posting. If you apply early, you skip the crowd and rank higher in recruiter screening. Our alerts give you that timing advantage.

If the employer provides it, yes. If not, we attempt to estimate using salary bands from public and private datasets (Pro only).

Is DayOneJobs suitable for senior roles too?

Yes. We cover all roles, from internships to senior-level. Filters simply let you tailor your feed to your level.

What salary range can data scientists expect in San Francisco?

Data scientists in San Francisco typically earn $180K-$350K base salary, with total compensation reaching $400K-$600K including equity at top-tier companies like Google, Meta, and Uber. Senior roles at unicorn startups often exceed $500K total comp.

Which San Francisco neighborhoods are best for data scientists?

SOMA and Mission Bay offer proximity to major tech offices and startup hubs. The Castro and Noe Valley provide better work-life balance with easy commutes to downtown and South Bay companies.

What are the top hiring companies for data scientists in SF?

Leading employers include Google, Meta, Salesforce, Uber, Airbnb, and Stripe in the city proper. Many data scientists also work for South Bay giants like Apple and Netflix while living in SF.

How does the AI/ML scene compare to other cities?

San Francisco leads globally in AI research and deployment, with OpenAI, Anthropic, and dozens of AI startups headquartered here. The concentration of ML talent and venture capital is unmatched worldwide.

What networking opportunities exist for data scientists?

SF Data Science meetups draw 500+ attendees monthly, while events like PyData SF and AI/ML conferences happen year-round. The Bay Area ML community is highly collaborative with regular tech talks at major companies.

Is remote work common for data science roles in SF?

Most SF tech companies offer hybrid or flexible remote options for data scientists. Many roles are 2-3 days in office, though some startups and research-focused positions remain fully remote.

What skills are most in-demand for SF data science jobs?

Deep learning frameworks (PyTorch, TensorFlow), MLOps tools, and LLM experience are highly valued. Product analytics skills and A/B testing expertise are crucial for consumer tech companies dominating the SF market.

Data Scientist
jobs in San Francisco that
LinkedIn doesn't show

3 roles from funded startups and hidden sources. Posted
minutes ago. Updated every 60 seconds

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Open roles3

Median salary band$212k

Companies hiring3

Avg time to fill18 days

We pull jobs from sources most job seekers never check

San Francisco startups funded

Corgi

Founded 2024

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$160M raised51-200 employeesSeries BB2B

Corgi is an AI-native, full-stack insurance carrier built for startups, using modern infrastructure and artificial intelligence to handle underwriting, policy management, and claims so it can deliver fast, flexible commercial insurance tailored to growing companies.[2][5]

Raised

$160M

Series B · 2026

Key contacts

Leadership & hiring contacts indexed

HQ market

San Francisco, California

United States

Standard Intelligence

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$75M raised1-10 employeesSeries ASeries A

Standard Intelligence is a San Francisco-based AI research lab building foundation models optimized for computer use — agents that interact with software through its graphical interface. Its FDM-1 model is trained on video footage rather than annotated screenshots, using an inverse dynamics model to auto-generate captions, and ships with a video encoder the team says is roughly 100x more efficient than comparable alternatives. The six-person team is pursuing what it calls aligned artificial general intelligence by scaling agentic capabilities through video pretraining.

Raised

$75M

Series A · 2026

Key contacts

Leadership & hiring contacts indexed

HQ market

San Francisco, California

United States

HockeyStack

Founded 2021

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$50M raised51-200 employeesSeries AB2B

HockeyStack is a San Francisco-based enterprise revenue intelligence platform that builds AI Revenue Agents for go-to-market teams. Its event-based data architecture and machine-learning Blueprint model power autonomous agents that work alongside reps on prospecting, new business, and account expansion, with customers including Microsoft, New Relic, and Harvey.

Raised

$50M

Series A · 2026

Key contacts

Leadership & hiring contacts indexed

HQ market

San Francisco, California

United States

Noon

Founded 2024

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$44M raised11-50 employeesSeries APlatform

Noon is an AI-native product design tool that bridges the gap between product design and engineering. Unlike traditional design tools that produce static visual mockups, Noon pulls code directly from a team's codebase and design system, ensuring what a designer produces is what ships. AI is embedded throughout to handle repetitive tasks while keeping designers in creative control. Founded in October 2024 by IIT Guwahati alumni Aditya Bandi and Kushagra Sinha.

Raised

$44M

Series A · 2026

Key contacts

Leadership & hiring contacts indexed

HQ market

San Francisco

United States

Ulysses

Founded 2023

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$38M raised1-10 employeesSeries ASeries A

Ulysses is a San Francisco-based technology company building The Ocean Company — networked fleets of low-cost, autonomous surface and underwater vehicles engineered for persistent operation in harsh maritime environments. The platform spans mine countermeasures and intelligence, surveillance and reconnaissance for contested waters, protection of subsea critical infrastructure, offshore inspection, and ocean-conservation work such as seagrass restoration; flagship products include MAKO, a small autonomous underwater vehicle positioned as the "Model T for the ocean", and Leviathan, an autonomous surface mothership and maritime domain awareness platform. Founded in Dublin in 2023 by Akhil Voorakkara, Will OBrien, Jamie Wedderburn and Colm OBrien, the company now operates from 1640 17th Street, San Francisco, and counts the US Navy among its active customers.

Raised

$38M

Series A · 2026

Key contacts

Leadership & hiring contacts indexed

HQ market

San Francisco, California

United States

Afresh

Founded 2017

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$34M raised51-200 employeesSeries BB2B

Afresh is a San Francisco-based AI platform for the grocery industry, founded in 2017 by Matt Schwartz, Nathan Fenner, and Volodymyr Kuleshov. Its software orchestrates store-level ordering, inventory management, production planning, and distribution-center buying across fresh, center store, frozen, and general merchandise. Afresh operates in more than 12,500 departments across 40 U.S. states and partners with grocers including Albertsons Companies, Meijer, Stater Bros., and Wakefern.

Raised

$34M

Series B · 2026

Key contacts

Leadership & hiring contacts indexed

HQ market

San Francisco, California

United States

Judgment Labs

Founded 2025

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$32M raised11-50 employeesSeries APlatform

Judgment Labs builds infrastructure that turns AI agents production data — reasoning traces, tool calls, retries, memory — into evals, alerts, and continuous-improvement loops. Its platform analyzes the full agent trajectory rather than just final outputs, surfacing failure patterns so teams can ship targeted fixes. Founded by three childhood friends (Alex Shan, Andrew Li, Joseph Camyre), the San Francisco company already powers monitoring at a growing roster of agent-native startups.

Raised

$32M

Series A · 2026

Key contacts

Leadership & hiring contacts indexed

HQ market

San Francisco, California

United States

Comfy

Founded 2024

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$30M raised11-50 employeesSeries BPlatform

San Francisco-based Comfy Org is the team behind ComfyUI, a node-based workflow platform that gives visual professionals granular control over AI image, video, 3D, and audio generation. Originally released as an open-source project in 2023, ComfyUI has grown to more than four million users and a 60,000-node community ecosystem, and is used by studios, ad agencies, and enterprise creative teams as production infrastructure. Alongside the open-source tool the company operates Comfy Cloud, a hosted runtime for teams that need collaboration, security, and managed compute.

Raised

$30M

Series B · 2026

Key contacts

Leadership & hiring contacts indexed

HQ market

San Francisco

United States

Hilbert's AI

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$28M raised11-50 employeesSeries APlatform

Hilbert's AI (legally Hilbert AI Co.) is a San Francisco-based analytics and decision-automation software company that builds an AI-native growth platform for consumer (B2C) brands. The product unifies marketing, product and commerce data, uses deep-learning agents to interpret customer behaviour and recommend next-best actions, and quantifies the financial upside of each recommendation before execution — compressing multi-month analytics projects into weeks. Walmart and other consumer brands use Hilbert's to turn AI spend into measurable growth outcomes, with the platform also serving as a forecasting engine for customer-base and revenue trajectories.

Raised

$28M

Series A · 2026

Key contacts

Leadership & hiring contacts indexed

HQ market

San Francisco, CA

United States

Treeline

Founded 2025

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$25M raised11-50 employeesSeries AAI/ML

Treeline is a San Francisco-based AI-powered IT, security, and compliance platform for growing tech companies, founded by Peter Doyle (CEO) and Hussain Kader (CTO). The platform acts as a full external IT and security team, offering 24/7 AI-enhanced help desk, automated workflows, continuous monitoring, and integrations with tools like Okta, Crowdstrike, Google Workspace, and Vanta. Treeline delivers 80% faster response times and automates 98% of IT tickets, positioning itself as a modern IT operating system for fast-scaling businesses.

Raised

$25M

Series A · 2026

Key contacts

Leadership & hiring contacts indexed

HQ market

San Francisco, California

United States

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Interview prep for Data Scientist roles

Data science interviews blend coding, statistics, ML theory, and business impact — requiring both technical depth and communication skills.. Explore key insights and preparation tips to help you excel in your interview process.

CODING PREP

Python & SQL fundamentals

Data manipulation, algorithms, and statistical programming form the coding foundation for most data science interviews.

DifficultyMedium

Focus on pandas, numpy, and SQL joins

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SYSTEM DESIGN COURSES

ML system architecture

Design end-to-end ML pipelines, feature stores, and recommendation systems at scale.

ML Pipeline
Training & inference workflows
Feature Engineering
Data processing at scale
Model Deployment
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COMPANY INSIGHTS

Company-specific focus areas

Different companies emphasize different aspects of data science based on their business needs and scale.

Meta
A/B testing and causal inference for product metrics
Netflix
Recommendation algorithms and personalization at scale

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Why San Francisco stands out

Compare cost-of-living buying power and how crowded the market is versus other major tech cities—so you can focus your search where the odds fit your goals.

Strategic ROI Despite Premium Market

While San Francisco commands higher housing costs, data scientists earn 25-40% salary premiums over New York, with stock options and equity packages often doubling total compensation. The 15% housing cost difference is offset by superior career acceleration and wealth-building opportunities in the world's tech capital.

New York baseline100

San Francisco (15% lower)85

Less Saturated Than East Coast Markets

San Francisco's data science market shows lower saturation than traditional finance hubs, with tech companies actively expanding ML teams and creating new specialized roles.

San Francisco

New York

Boston

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Data Scientist jobs in San Francisco that LinkedIn doesn't show

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