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Data Jobs in Simi Valley, CA (NOW HIRING)

Data Manager

Chatsworth, CA ยท On-site

$70K/yr

Data is how that proof happens. The Data Manager makes sure that data is accurate, trustworthy, and actually useful across the entire program department. Reporting to the Director of Data ...

Data Architect

Sherman Oaks, CA ยท On-site

$118K - $137K/yr

Data Architect Ideal Living Management, LLC ("Ideal Living") creates science-backed wellness technologies. Ideal Living invents, markets, and distributes innovative health and wellness products for ...

Data Analyst - Join Our Team Data Analyst Los Angeles, CA | Full-Time | CTC, W2 Job Summary We are seeking a detail-oriented Data Analyst to collect, analyze, and interpret data to help drive ...

Designs data modeling processes to create algorithms and predictive models. Performs custom analysis. Uses modelling to drive business results with data-based insights and tests the effectiveness of ...

Data Architect

Los Angeles, CA

$68.75 - $88.25/hr

We are looking for a Data Architect to build, optimize and maintain conceptual and logical database models. For this role, you should know how to analyze system requirements and implement migration ...

Salary Range: $51.00-$68.72 per hour SUMMARY The Data Scientist supports California's Medicaid 1115 JI Reentry Initiative by analyzing, managing, and reporting data related to enrollment, service ...

Data Scientist

Thousand Oaks, CA ยท On-site

$120 - $170/hr

Data Scientist What you will do Lets do this. Lets change the world. In this vital role you will be at the forefront of digital transformation in the biopharmaceutical industry. This team provides ...

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Data information

See Simi Valley, CA salary details

$47.5K

$170.3K

$251.4K

How much do data jobs pay per year?

As of Aug 23, 2026, the average yearly pay for data in Simi Valley, CA is $170,348.00, according to ZipRecruiter salary data. Most workers in this role earn between $137,800.00 and $175,500.00 per year, depending on experience, location, and employer.

What are different jobs that work with data?

Many different jobs require you to work with data. Occupational health and safety engineers, for instance, assess safety data collected by technicians and specialists and then design new processes to mitigate observed risks. Many careers in medical research, such as running clinical trials or developing new pharmaceuticals, require data collection and analysis. A large number of government labor and economic forecasting positions employ statisticians who analyze and model data based on surveys or raw information, such as the census or employment records.

What are the key skills and qualifications needed to thrive as a data analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with data analysis tools like Excel, SQL, Python, and visualization platforms such as Tableau or Power BI is often required, and certifications in these tools can be advantageous. Attention to detail, critical thinking, and effective communication skills help analysts interpret data accurately and present actionable insights to stakeholders. These skills are crucial for transforming raw data into meaningful information that drives informed business decisions.

How does a data analyst typically collaborate with other departments within an organization?

Data Analysts frequently work cross-functionally, partnering with teams such as marketing, finance, operations, and product development. They gather requirements from stakeholders, interpret data to provide actionable insights, and often present findings in meetings or reports tailored to the audience's needs. Effective communication is key, as analysts must translate complex data into clear, impactful recommendations that guide business decisions. This collaborative environment fosters both learning and professional growth, as Data Analysts gain exposure to various business functions.

What is the difference between Data vs Data Analyst?

AspectDataData Analyst
Required CredentialsTypically a degree in computer science, information technology, or related fieldsSame as Data, often requiring a degree in statistics, data science, or related areas
Work EnvironmentData professionals work in IT, data engineering, or database management settingsData analysts work in business, finance, marketing, and similar industries analyzing data for insights
Employer & Industry UsageUsed across tech, finance, healthcare, and more for data management and infrastructureCommonly employed in business sectors to interpret data and support decision-making

Data professionals focus on managing, storing, and processing data, while Data Analysts interpret and analyze data to generate insights. Both roles require similar educational backgrounds but differ in their primary functions within organizations.

What are careers in data?

Careers in data include roles such as data analyst, data scientist, data engineer, and database administrator. These jobs involve collecting, analyzing, and managing data using tools like SQL, Python, and data visualization software, often requiring strong analytical skills and knowledge of data management principles.

What data jobs are there?

Data jobs include roles such as data analyst, data scientist, data engineer, and database administrator. These positions typically require skills in programming, statistics, and data management tools like SQL, Python, or R, and may involve working with large datasets, data visualization, and machine learning techniques.

What are the most commonly searched types of Data jobs in Simi Valley, CA?

The most popular types of Data jobs in Simi Valley, CA are:

What job categories do people searching Data jobs in Simi Valley, CA look for?

The top searched job categories for Data jobs in Simi Valley, CA are:

What cities near Simi Valley, CA are hiring for Data jobs?

Cities near Simi Valley, CA with the most Data job openings:

Infographic showing various Data job openings in Simi Valley, CA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $170,348 per year, or $81.9 per hour.

Senior Data Scientist - DeFi Blockchain / On-Chain Surveillance

Unchain Data

Santa Monica, CA โ€ข On-site

$190 - $290/hr

Other

Posted 18 days ago


Job description

About Us

At TWG AI, we drive innovation and business transformation across a range of industriesโ€”including financial services, insurance, technology, media, and sportsโ€”by leveraging data and AI as core assets. Our AI-first, cloud-native approach delivers real-time intelligence and interactive business applications, empowering informed decision-making for both customers and employees.

We prioritize responsible data and AI practices, ensuring ethical standards and regulatory compliance. Our decentralized structure enables each business unit to operate autonomously, supported by a central AI Solutions Group, while strategic partnerships with leading data and AI vendors fuel game-changing efforts in marketing, operations, and product development.

You will collaborate with management to advance our data and analytics transformation, enhance productivity, and enable agile, data-driven decisions. By leveraging relationships with top tech startups and universities, you will help create competitive advantages and drive enterprise innovation. At TWG, your contributions will support our goal of sustained growth and superior returns, as we deliver rare value and impact across our businesses.

The Role

This role owns the on-chain substrate the entire DeFi Integrity Engine stands onโ€”ingestion, attribution integration, composability decodingโ€”and co-owns the UMA oracle-surveillance R&D. It was one seat when DeFi was a workstream; it is two now that DeFi is a standalone SOW with its own go-live date, because a single owner across ingestion + attribution + composability + oracle R&D is a bus-factor risk on a contractual milestone.

Responsibilities
  • Own the on-chain ingestion path end to endโ€”indexing contract events, settled fills, transfers, and resolution outcomes at scale, and turning them into the versioned tables detection and validation consume
  • Decode the venue's settlement mechanics and the composability layer around it
  • Own the attribution substrate: evaluate and integrate commercial wallet-clustering feeds, fuse them with on-chain behavioral clustering, and deliver a confidence-scored entity layer that carries the identity load on a pseudonymous venue
  • Trace funds across chains and bridges for provenance and funding-source surveillance
  • Co-own the optimistic-oracle surveillance R&D
  • Feed on-chain features and cluster-grain signals into the shared detection stack
Requirements
  • EVM / Polygon fluency at the data levelโ€”reading and decoding on-chain transactions and events, understanding how Polymarket's contracts settle (the CTF conditional-token framework, the USDCโ†’collateral flow, ERC-1155 outcome-token transfers). This is the load-bearing skill; everything else sits on it
  • On-chain data engineeringโ€”pulling and indexing chain data at scale (subgraphs / GraphQL, raw-node indexing, or equivalent), turning it into the tables the detectors and the graph specialists consume
  • Cross-chain / bridge tracingโ€”following funds as they move across chains, for provenance and composability surveillance
  • DeFi mechanism literacyโ€”flash loans, lending markets, leverage, AMMsโ€”enough to reason about how someone would use these to manipulate or fund manipulation
  • Chainalysis (or comparable) attribution toolingโ€”evaluating and integrating the wallet-clustering feed that anchors the Attribution Substrate replacing the KYC/identity layer on the DeFi side
  • UMA / optimistic-oracle understandingโ€”how the resolution and dispute mechanism works, for the net-new oracle-surveillance R&D
  • Surveillance / attribution mindsetโ€”the rare part: most on-chain engineers come from building protocols or trading, not from investigating them. Someone who thinks about "who is really behind these wallets and what are they doing" rather than "how do I ship this vault."
Benefits

Location: This is an onsite position based out of our Santa Monica, CA or New York, NY offices.

Compensation: The base pay for this position is $190,000-290,000. A bonus will be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits.

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