Data Scientist / Senior Data Analyst
Integra Lifesciences Holdings
Austin, TX · Posted January 23, 2026
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Where Austin, TX ranks
Where Austin, TX placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #1Best cities for professional services pay after cost of living$168k · of 25
- #1Cities with the most jobs that do not need a four-year degree in the Southwest493 jobs · of 38
- #1Best cities for pay after cost of living in the Southwest$168k · of 15
- #1Best cities for pay after cost of living in Texas$168k · of 8
- #1Best cities for software and engineering jobs in the Southwest1,931 openings · of 33
- #1Best all-round cities for mid-career professionals in the Southwest92 / 100 · of 15
Rankings about data & analytics jobs
- Best cities for data and analytics jobs #1 New York (1,713 openings)
- Best cities for data and analytics pay after cost of living #1 Foster ($232k)
- Most requested AI skills in data and analytics jobs #1 Machine learning engineering (17.1%)
- AI tools named most often in data and analytics jobs #1 Databricks (7.6%)
- Employers with the most data and analytics jobs #1 Amazon (711 roles)
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Pay compared with the market
This listing does not state pay. Across 75 open data scientist listings that state pay, the middle half runs $130,000 to $191,500 and the median is $154,000.
Listed pay is what employers advertise, not what people are paid.
How AI is used in this kind of work
Among data scientists, AI is already used for a large share of the tasks. Measured exposure for data scientists: 46% (high).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Skills this job asks for
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About the job
Integra FEC (Financial Economic Consulting) is a litigation and economic consulting firm that exists to restore integrity to the financial system through forensic data analytics. We work with government agencies and law firms in their efforts to combat a wide array of financial fraud, in areas ranging from securities to healthcare to crypto assets. We are looking for strong candidates with quantitative and financial backgrounds and a natural curiosity to learn to join our team and help tackle complex projects by efficiently analyzing data.
Main responsibilities include:
Plan, develop, and take ownership in data-intensive investigations related to financial fraud
Write scripts to retrieve and organize data; parse free-form text fields, images, and spreadsheets to derive insights
Construct and analyze large datasets to find fraudulent patterns; develop quantitative and empirical methods to analyze potentially fraudulent conduct
Summarize and present findings to technical and non-technical audiences, through long-form reports, charts and slides
Anticipated to grow toward managing projects and communicating with clients
Job Qualifications
Required
3+ years of relevant work experience
Background in statistics, mathematics, engineering, computer science, data science, accounting, finance, economics, or other quantitative field
Demonstrated experience with R, Python, and/or SQL
Attention to detail
Intellectual curiosity and interest in fraud analysis
Highest ethical standards
Strong teamwork abilities
Preferred
Excellent skills in R, Python, and/or SQL
Background in economic/management consulting or finance
Knowledge of financial concepts and principles
Knowledge of crypto, decentralized finance, or smart contracts
Demonstrated aptitude for research
Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.