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Remote Anomaly Detection Jobs in California (NOW HIRING)

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Sr. AI Engineer

San Francisco, CA · On-site +1

$65 - $83.75/hr

... anomaly detection and revenue leakage prevention * Understand lead-to-cash processes and translate ... Employee divides their time between in-office and remote work. Access to an office location is ...

Axos Bank

Data Product Manager

San Diego, CA · On-site +1

$120K - $140K/yr

Remote or Hybrid is not available. Key Responsibilities: * Own and manage the data engineering ... reliability, anomaly detection, and operational performance. * Drive the Data Platform roadmap ...

Karius

Senior Clinical Data Scientist

Redwood City, CA · On-site +1

Redwood City, CA or Remote Primary Responsibilities * Own EHR data extraction specifications for ... Perform data quality assessment, anomaly detection, and cross-site consistency validation ...

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All JobsAnomaly Detection JobsRemote Anomaly Detection JobsRemote Anomaly Detection Jobs in California

Remote Anomaly Detection information

What are the key skills and qualifications needed to thrive as a remote anomaly detection specialist, and why are they important?

To thrive in Remote Anomaly Detection, you need a strong background in statistics, data analysis, and machine learning, usually supported by a degree in computer science, engineering, or a related field. Familiarity with analytical tools like Python, R, SQL, and specialized anomaly detection frameworks is essential, along with experience in cloud platforms. Strong problem-solving skills, attention to detail, and effective remote communication set top performers apart. These competencies enable accurate identification of unusual patterns, quick response to potential risks, and seamless collaboration in distributed work environments.

What are some common challenges faced by professionals working in remote anomaly detection roles?

Professionals in remote anomaly detection often face challenges related to data quality and access, as much of the work depends on analyzing large, diverse datasets from various sources. Ensuring secure, real-time data transmission and maintaining robust communication with cross-functional teams can also be demanding, especially when working remotely. Additionally, adapting to evolving algorithms and staying current with the latest detection technologies requires ongoing learning and collaboration. Successfully navigating these challenges typically involves proactive communication, diligent documentation, and leveraging collaborative tools to stay connected with colleagues.

What is remote anomaly detection?

Remote anomaly detection is the process of identifying unusual patterns or behaviors in data collected from remote systems, devices, or networks. This technique is commonly used in industries such as cybersecurity, manufacturing, and IoT to monitor operations and quickly detect issues or potential threats. By using algorithms and machine learning, remote anomaly detection can automatically flag data points that deviate from normal patterns, helping organizations respond proactively to prevent problems. This approach is especially valuable in environments where manual monitoring is difficult or impractical due to distance or scale.

What is the difference between Remote Anomaly Detection vs Data Analyst?

AspectRemote Anomaly DetectionData Analyst
Required CredentialsBackground in cybersecurity, data science, or related fields; certifications like CompTIA Security+ or Certified Data ProfessionalBachelor's degree in statistics, mathematics, or related field; certifications like Microsoft Data Analyst Associate
Work EnvironmentRemote, often in tech or cybersecurity firms, focusing on monitoring systems and identifying irregularitiesRemote or on-site, working with data sets, creating reports, and providing insights for business decisions
Employer & Industry UsageTech companies, cybersecurity firms, financial institutionsBusiness, finance, marketing, healthcare sectors

While both roles involve working with data, Remote Anomaly Detection specialists focus on identifying irregularities in systems or networks, often requiring cybersecurity knowledge. Data Analysts interpret data to inform business strategies. The roles share skills in data analysis but differ in focus and industry applications.

What are the most commonly searched types of Anomaly Detection jobs in California? The most popular types of Anomaly Detection jobs in California are:
What are popular job titles related to Remote Anomaly Detection jobs in California? For Remote Anomaly Detection jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Anomaly Detection jobs in California look for? The top searched job categories for Remote Anomaly Detection jobs in California are:
What cities in California are hiring for Remote Anomaly Detection jobs? Cities in California with the most Remote Anomaly Detection job openings:
Remote Anomaly Detection jobs near you

Senior Software Engineer, AI Product Insights

Mixpanel

San Francisco, CA • Remote

$226K - $306K/yr

Full-time

Re-posted 16 days ago

Job description

About the Team

The Proactive Insights team is a newly formed team at the center of Mixpanel's AI-first analytics vision. With a greenfield charter, we're building the intelligent layer that transforms Mixpanel from a tool you query into a partner that works for you.

We answer the question every data-driven team asks: "What changed, why, and what should I do about it?" We proactively keep users informed about what matters in their data, delivering the right insights and recommendations at the right time, to the right places, both inside and outside of Mixpanel.

Some examples of what we are building:

  • AI-powered root cause analysis: intelligent agents that diagnose why metrics changed, identify contributing factors, and recommend what to do next
  • AI automations for KPI monitoring: always-on agents that track your key metrics and deliver insights to Slack, email, or directly in Mixpanel
  • Intelligent alerts and anomaly detection: monitoring powered by models like TimesFM that surfaces meaningful shifts in your data
About the Role

As a Software Engineer on Proactive Insights, you'll build the features that transform how teams stay on top of their data. You'll work across the full stack, from React frontend experiences to Python backend services to integrating with our query engine, to ship workflows that surface insights users didn't know to ask for. You'll collaborate closely with Product and Design to shape what proactive analytics looks like, and with our AI Engine team to leverage shared infrastructure for orchestration, evaluation, and observability.

This is a high-impact role on a small, fast-moving team where your work will define a new product category for Mixpanel.

Responsibilities
  • Build AI-powered features end-to-end, from agent logic and query orchestration to frontend visualization and delivery
  • Design and implement user experiences for surfacing automated insights: dashboards, notifications, digests, and interactive analysis flows
  • Collaborate with Product and Design to define what proactive analytics looks like and how users interact with AI-generated insights
  • Partner with the AI Engine team to integrate shared tooling for agent orchestration, evaluation, and observability
  • Instrument tracking and build dashboards to measure feature adoption and the quality of AI-generated insights
  • Participate in team on-call rotation to improve our systems and keep them healthy
We're Looking For Someone Who Has
  • Bachelor's degree in Computer Science, Mathematics, a related field, or equivalent practical experience
  • 5+ years of professional software engineering experience
  • Strong full-stack fundamentals: you're comfortable working across frontend, backend, and data layers
  • Excellent debugging and technical investigation skills
  • Strong technical communication, ideally with experience collaborating in an asynchronous remote environment
  • Ability to move fast and iterate in ambiguous, greenfield problem spaces: you take ownership and focus on delivering value to users
  • A data-driven mindset and genuine curiosity about how people use analytics tools
  • A desire to be on the forefront of leveraging AI to drive product improvement at thousands of companies
Bonus Points For
  • Experience building with LLMs, AI agents, or tool-use frameworks
  • React / TypeScript experience
  • Django / Python experience
  • Familiarity with analytics or observability platforms
  • Interest in information retrieval, anomaly detection, or statistical analysis
Mixpanel Compensation Range

$226,000 - $306,000 USD

Apply