DataVisor Jobs Hiring Now
DataVisor is hiring for 13 open roles on Migrate Mate as of August 31, 2026, concentrated in software engineering and account management, with listed salaries up to about $380,000. Migrate Mate updates DataVisor's live openings daily. DataVisor is a technology company that builds AI-powered fraud detection and financial crime prevention solutions for banks, fintech platforms, and digital enterprises.
Find DataVisor JobsOverview
DataVisor hiring data on Migrate Mate, as of August 31, 2026.
- Open jobs
- 13
- Top team
- Software Engineering
- Seniority
- Manager level or above
- Work type
- 54% remote or hybrid
- Top location
- Mountain View
- Salary range
- $100,000–$380,000
Listed salaries for DataVisor roles on Migrate Mate range from about $100,000 to $380,000 per year across 13 open roles, as of August 31, 2026.
Open Roles at DataVisor
Showing 13 of 13+ DataVisor jobs
About DataVisor:
DataVisor is the world’s leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's fraud and anti-money laundering (AML) solutions scale infinitely and enable organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine, and investigation tools work together to provide significant performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering total cost of ownership, compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe.
Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results-driven. Come join us!
Position Overview:
We are looking for a motivated Entry-Level Data Scientist to join our Fraud Detection team. In this role, you will leverage your machine learning and data analysis skills to identify fraudulent activities, build predictive models, and uncover hidden patterns in large datasets. You will work closely with cross-functional teams to develop scalable solutions that enhance our fraud detection capabilities. This is a great opportunity to grow your skills in a fast-paced, data-driven environment while making a real impact in the fight against fraud.
Key Responsibilities:
- Develop and deploy machine learning models for fraud detection and risk assessment.
- Perform exploratory data analysis (EDA) to identify trends, anomalies, and patterns in transactional data.
- Clean, preprocess, and analyze large datasets using Python and popular data science libraries (pandas, NumPy, scikit-learn, etc.).
- Collaborate with engineering and business teams to integrate ML models into production systems.
- Continuously monitor model performance and refine algorithms to improve accuracy.
- Stay updated with the latest advancements in fraud detection techniques and ML/AI technologies.
Requirements
- Master’s degree in Computer Science, Data Science, Statistics, or a related quantitative field. Ph.D. degree is a plus.
- Strong programming skills in Python and familiarity with data science libraries (NumPy, Pandas, scikit-learn, TensorFlow/PyTorch is a plus).
- Solid understanding of machine learning algorithms (supervised/unsupervised learning, anomaly detection, classification, etc.).
- Experience with SQL and data manipulation/analysis in large datasets.
- Strong problem-solving skills and patience for deep-dive data exploration.
- Prior internship or project experience in fraud modeling, risk analysis, or related fields is a plus.
- Excellent communication skills and ability to work in a collaborative environment.
- Familiarity with big data tools (Spark, Hadoop, Dask).
- Knowledge of graph-based fraud detection techniques.
- Experience with cloud platforms (AWS, GCP, Azure).
Benefits
PTO, Stock Option, Health Benefits
About DataVisor:
DataVisor is the world’s leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's fraud and anti-money laundering (AML) solutions scale infinitely and enable organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine, and investigation tools work together to provide significant performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering total cost of ownership, compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe.
Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results-driven. Come join us!
Position Overview:
We are looking for a motivated Entry-Level Data Scientist to join our Fraud Detection team. In this role, you will leverage your machine learning and data analysis skills to identify fraudulent activities, build predictive models, and uncover hidden patterns in large datasets. You will work closely with cross-functional teams to develop scalable solutions that enhance our fraud detection capabilities. This is a great opportunity to grow your skills in a fast-paced, data-driven environment while making a real impact in the fight against fraud.
Key Responsibilities:
- Develop and deploy machine learning models for fraud detection and risk assessment.
- Perform exploratory data analysis (EDA) to identify trends, anomalies, and patterns in transactional data.
- Clean, preprocess, and analyze large datasets using Python and popular data science libraries (pandas, NumPy, scikit-learn, etc.).
- Collaborate with engineering and business teams to integrate ML models into production systems.
- Continuously monitor model performance and refine algorithms to improve accuracy.
- Stay updated with the latest advancements in fraud detection techniques and ML/AI technologies.
Requirements
- Master’s degree in Computer Science, Data Science, Statistics, or a related quantitative field. Ph.D. degree is a plus.
- Strong programming skills in Python and familiarity with data science libraries (NumPy, Pandas, scikit-learn, TensorFlow/PyTorch is a plus).
- Solid understanding of machine learning algorithms (supervised/unsupervised learning, anomaly detection, classification, etc.).
- Experience with SQL and data manipulation/analysis in large datasets.
- Strong problem-solving skills and patience for deep-dive data exploration.
- Prior internship or project experience in fraud modeling, risk analysis, or related fields is a plus.
- Excellent communication skills and ability to work in a collaborative environment.
- Familiarity with big data tools (Spark, Hadoop, Dask).
- Knowledge of graph-based fraud detection techniques.
- Experience with cloud platforms (AWS, GCP, Azure).
Benefits
PTO, Stock Option, Health Benefits
Job Roles at DataVisor
Working at DataVisor
DataVisor's 13 open roles are manager level or above, and about 54% are remote or hybrid. The most active teams are software engineering, account management, and sales. DataVisor develops artificial intelligence and machine learning software used by financial institutions and digital platforms to detect fraud, money laundering, and account abuse at scale. The company hires across software engineering, data science, product, and customer-facing risk and account management functions. Most DataVisor roles are based in Mountain View.
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Browse jobs by roleDataVisor Jobs: Frequently Asked Questions
How many jobs is DataVisor hiring for right now?
DataVisor is hiring for 13 open roles on Migrate Mate as of August 31, 2026, updated daily, concentrated in software engineering and account management. Roles span software engineering, data science, product marketing, risk consulting, and technical support, reflecting DataVisor's mix of technical and go-to-market hiring.
What kinds of roles does DataVisor hire for?
The most active teams are software engineering, account management, and sales. DataVisor's open positions include software engineers, data scientists, risk consultants, product marketing directors, account managers, and product support engineers. Most postings are manager level or above, reflecting a focus on experienced hires across both technical and client-facing disciplines.
Are DataVisor jobs remote or in-person?
Mostly remote. About 54% of DataVisor's open roles on Migrate Mate are remote or hybrid as of August 31, 2026, with the rest based in Mountain View. Each DataVisor listing shows its work location so you can filter before applying.
How do I apply to a job at DataVisor?
Find a DataVisor role on Migrate Mate, then follow the listing directly through to DataVisor's own careers page to submit your application. DataVisor manages its own hiring process, including application review, interviews, and offers. Migrate Mate does not accept or forward applications on DataVisor's behalf.
What do DataVisor jobs pay?
Listed salaries for DataVisor roles on Migrate Mate range from about $100,000 to $380,000 per year as of August 31, 2026, with most postings at manager level or above. Exact pay is set by DataVisor and shown on each listing.
Does DataVisor hire entry-level?
Most of DataVisor's open roles on Migrate Mate are manager level or above as of August 31, 2026. Entry-level openings are limited. Check individual DataVisor listings for stated experience requirements.
Where is DataVisor hiring?
Most DataVisor roles are based in Mountain View, and about 54% offer remote or hybrid work as of August 31, 2026. Migrate Mate shows the location on each listing.