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Data Detective Jobs (NOW HIRING)

Vantage Data Centers

Data Scientist, NA

Denver, CO

About Vantage Data Centers Vantage Data Centers powers, cools, protects and connects the technology ... Background in predictive modeling, time-series forecasting, anomaly detection, and optimization ...

Vantage Data Centers

Data Scientist, NA

Denver, CO · On-site

About Vantage Data Centers Vantage Data Centers powers, cools, protects and connects the technology ... Background in predictive modeling, time-series forecasting, anomaly detection, and optimization ...

Archuleta County

Detective

Pagosa Springs, CO

Collects and analyzes facts and data necessary for development and documentation of probable cause and for the solution of assigned cases. Coordinates, conducts and leads all aspects of ...

Solomon Page

Data Engineer

Manhattan, NY · On-site

$125K - $150K/yr

Develop controls for stale data detection, schema drift, duplicate records, and anomaly identification. * Maintain data cataloging, ownership, lineage, and quality standards across the platform.

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How much do data detective jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for data detective in the United States is $69.98, according to ZipRecruiter salary data. Most workers in this role earn between $61.30 and $78.85 per hour, depending on experience, location, and employer.

What is a data detective?

A Data Detective is a data analyst or scientist who investigates complex data patterns, uncovers hidden insights, and solves business problems using data. They collect, clean, and analyze datasets to identify trends, anomalies, and correlations. Their role often involves using statistical techniques, machine learning, and data visualization to support decision-making. Businesses rely on Data Detectives to detect fraud, optimize operations, and reveal opportunities for growth.

What are the typical responsibilities of a data detective in a business environment?

As a Data Detective, your daily responsibilities revolve around investigating large datasets to identify trends, anomalies, and patterns that can inform business decisions. You will collaborate closely with data analysts, business managers, and IT specialists to gather requirements, formulate hypotheses, and present actionable recommendations. Data Detectives often design and execute complex queries, create visual reports, and contribute to process improvements based on their findings. This role requires a mix of independent research, teamwork, and direct communication with stakeholders to translate data insights into practical business strategies.

What are the key skills and qualifications needed to thrive in the data detective position, and why are they important?

To thrive as a Data Detective, you need strong analytical skills, proficiency in statistical analysis, and a thorough understanding of data management, typically supported by a background in data science, statistics, or related fields. Knowledge of technical tools such as SQL, Python or R, data visualization platforms, and experience with databases are highly valuable, along with relevant certifications like Certified Analytics Professional (CAP). Curiosity, problem-solving abilities, attention to detail, and effective communication set standout professionals apart in this role. These competencies are crucial for uncovering actionable insights from complex datasets and clearly conveying findings to support business decision-making.

What does a data detective do?

A data detective analyzes large datasets to identify patterns, anomalies, and insights that can inform business decisions or solve problems. They use tools like SQL, Excel, and data visualization software, and often require strong analytical skills and attention to detail. Their work involves investigating data inconsistencies, uncovering hidden trends, and ensuring data accuracy and integrity.
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What are the most commonly searched types of Data Detective jobs?

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What states have the most Data Detective jobs?

States with the most job openings for Data Detective jobs include:

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Data Detective jobs near you
Infographic showing various Data Detective job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $145,556 per year, or $70 per hour.

Sr/Principal Data Scientist, Risk Strategy

Unchain Data

San Jose, CA • On-site

$223.66 - $313.05/hr

Other

Re-posted 4 days ago

Job description

About the Opportunity

The Sr Data Scientist, Risk will offer a strategic perspective, deep analytical and modeling capabilities, and a collaborative working style. The right candidate will have strong intellectual curiosity and passion for achieving business results. An ability to quickly define the problem, research and leverage state-of-the-art modeling techniques, and provide timely recommendations will be essential. Key skills will include a strong analytical mindset, deep understanding of most popular machine learning algorithms and lead key initiatives with integrity and a passion for investigations, problem solving, and troubleshooting.

Responsibilities
  • Identify complex fraud patterns and their technical root causes through detailed data mining and analysis, including identification of sophisticated fraud methods employed by actors who are deliberately trying to avoid detection.
  • Serve as technical SME by sharing new data mining techniques, maintaining technical reference documentation, and interfacing with partner technology teams.
  • Collaborate across business and technology stakeholders to communicate analytical findings to both technical and non-technical audiences.
  • Provide technical guidance for engineering projects that incorporate new data points into the investigation team's toolkit, such as API integrations or internal data transformations.
  • Link Analysis/Graph analytics to find and mitigate deeply-connected fraud networks and detect new accounts being added to these networks.
  • Apply unsupervised learning methods to augment existing supervised models, or detect portfolio anomalies.
  • Development of machine learning models.
  • Partner with product and engineering team in implementing features and models, and enhancing systems.
Requirements
  • Master's degree (or PhD) in Statistics, Mathematics, Operations Research, Computer Science, Economics, Engineering or other quantitative discipline. Bachelor's degree with significant relevant experience will be considered.
  • 4+ years of fraud analytics experience in financial services or FinTechs.
  • Crypto/Blockchain experience.
  • Deep understanding of modern machine learning techniques and algorithms including GBM, XGBoost, LGBM, etc.
  • Advanced programming skills in statistical and analytical software (SQL, R, Python, etc.).
  • Successful track record of owning and driving large, complex data analysis projects.
  • Demonstrated capacity for innovation and outside-the-box thinking in the creation of new capabilities and processes that are unstructured or exploratory in nature.
  • Experience in a fast-paced startup environment with a strong level of initiative.
  • Ability and willingness to travel as needed.
  • Strong communicator in both writing and speaking.
  • Multi-tasking and strong project management skills.
Nice to Have
  • Hands-on experience and knowledge of modeling in machine learning (GBM, XGBoost, Random Forest, etc.).
Benefits
  • Competitive total compensation package.
  • L&D programs and Education subsidy for employees' growth and development.
  • Various team building programs and company events.
  • Wellness and meal allowances.
  • Comprehensive healthcare schemes for employees and dependants.
Compensation

The salary range for this position is $223,661.00 to $313,055.00. The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered.

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