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 dat…
Mountain View, California, United States · On-site
$110k–$300k/yr
Mid level$90M raised
The Company At Arta Finance, we are product builders, machine learning researchers, finance professionals, and business leaders determined to create a better way to manage our financial lives. The future of finance is te…
Skills: Product marketing, Fintech, Wealth management, Go-to-market strategy, AI tools
Tapestry
Power Systems Engineer
Mountain View, California, United States · Hybrid
$159k–$277k/yr
Senior
About Tapestry Tapestry is a group within Google working to build the AI-powered electric grid. We are tackling one of the world’s most important infrastructure challenges: helping the energy system become more visible, …
Skills: Power systems modeling, Common Information Model (CIM), Power flow analysis, Short circuit analysis, Transient stability
Accellor is an AI-native services firm purpose-built for the post-ChatGPT era. Free from legacy constraints, we focus on delivering measurable business outcomes through advanced AI, data, and engineering capabilities. Ou…
Skills: AI Systems Architecture, Inference Runtime, Model Serving, GPU Infrastructure, Distributed Systems
Mountain View, California, United States · On-site
$135k–$175k/yr
Senior$73M raised
The Opportunity We are seeking a talented Senior Solution Architect with deep enterprise pre-sales experience who wants to own the technical sale for complex, multi-stakeholder deals and help define how our AI meeting in…
About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Sear…
Skills: Machine learning, Search engine optimization, Natural language processing, Python, Go
Mountain View, California, United States · On-site
$262k–$364k/yr
Senior+$26M raised
Minimum qualifications: Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field. 10 years of work experience using analytics to solv…
Skills: Python, R, SQL, Machine Learning, Data Science
Mountain View, California, United States · Remote OK
$129k–$174k/yr
Senior$459M raised
About Coursera Coursera and Udemy are now one company, creating one of the world's most comprehensive skills development platforms for the AI era. This strengthens our ability to accelerate AI-powered innovation and shap…
Skills: SEO strategy, Technical SEO, Content strategy, Data analysis, Google Search Console
Mountain View, California, United States · On-site
$200k–$300k/yr
Senior+$148M raised
About NewsBreak Founded in 2015, NewsBreak is the Content Intelligence platform shaping the future content economy. With over 40 million monthly active users, our flagship platform delivers highly personalized local news…
Mountain View, California, United States · On-site
$100k–$250k/yr
Senior$148M raised
About NewsBreak Founded in 2015, NewsBreak is the Content Intelligence platform shaping the future content economy. With over 40 million monthly active users, our flagship platform delivers highly personalized local news…
Mountain View, California, United States · On-site
$200k–$300k/yr
Senior$148M raised
About NewsBreak Founded in 2015, NewsBreak is the Content Intelligence platform shaping the future content economy. With over 40 million monthly active users, our flagship platform delivers highly personalized local news…
Mountain View, California, United States · On-site
$101k–$170k/yr
Senior$67M raised
Employer: Amazon Development Center U.S., Inc. Position: Sales Operations II - AMZ26030.4 Location: Mountain View, CA Multiple Positions Available: Support the day-to-day administration of sales compensation including: V…
Skills: Sales operations, Data analysis, Sales compensation, Salesforce, Varicent
About the Team The Monetization Data Systems team builds the trusted data and product systems that power how the company develops, measures, and improves monetization products. We bring together product usage, pricing, b…
Who we are Aurora’s mission is to deliver the benefits of self-driving technology safely, quickly, and broadly. The Aurora Driver will create a new era in mobility and logistics, one that will bring a safer, more efficie…
Skills: C++, Python, Deep learning, Machine learning, Computer vision
Who we are Aurora’s mission is to deliver the benefits of self-driving technology safely, quickly, and broadly. The Aurora Driver will create a new era in mobility and logistics, one that will bring a safer, more efficie…
Skills: Python, C++, PyTorch, Deep learning, Machine learning
About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Sear…
Mountain View, California, United States · On-site
$152k–$261k/yr
Senior+$3.4B raised
Company Introduction We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did I ever live without Coupang?” Born out of an obsession to make shopping, eating, and living…
Skills: Machine learning, Deep learning, Java, C++, Python
Mountain View, California, United States · On-site
$207k–$300k/yr
Senior$26M raised
Minimum qualifications: Bachelor’s degree or equivalent practical experience. 8 years of experience in software development. 5 years of experience building and deploying recommendation systems models (retrieval, predicti…
Who we are Aurora’s mission is to deliver the benefits of self-driving technology safely, quickly, and broadly. The Aurora Driver will create a new era in mobility and logistics, one that will bring a safer, more efficie…
Who We Are Verily Health is a data platform and technology company purpose-built to power AI-enabled precision health solutions that accelerate research and improve care for individuals and communities. Uniquely position…
Skills: Program Management, Product Operations, Jira, Confluence, AI Productivity Tools
Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
$120k–$170k/yr
Full-time
postgraduate degree
Performance bonuses, Equity options, Medical insurance, Dental insurance, Vision insurance, 401(k) retirement savings plan
Posted 38d ago
~40 hrs/week
Responsibilities
The Data Scientist will design and optimize machine learning strategies to solve fraud detection challenges and improve the efficacy of the AI-powered platform. They will collaborate across teams to translate complex fraud patterns into scalable, automated defenses and validate AI agent logic.
Requirements
Candidates must hold at least a Master's degree in a quantitative field and possess a minimum of one year of experience in data science or advanced analytics. Proficiency in Python and SQL, along with a strong foundation in statistical modeling and performance evaluation, is required.
Full job description
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!
Role Summary
We are seeking a hands-on Data Scientist to own the detection strategy behind our AI-powered Fraud and AML Solutions suite. You will design the logic that decides what gets flagged — typologies, segmentation, thresholds, and false-positive tradeoffs — across Real-Time Payments (RTP), ACH, Wire, Check, and Application/Onboarding. You will also solve the industry-wide "Cold Start" problem: designing detection that protects new clients from day one, before their historical data is fully integrated. Working at the intersection of fraud domain expertise and data, you will partner closely with our Product, Strategy, Data Science, Delivery, and Engineering teams to translate how fraud actually happens into scalable, automated defenses. This is a strategy and analytics role — you will work in Python and SQL every day, but the core of the job is judgment about risk.
Responsibilities
Design Pre-Built Detection Strategies: Build, back-test, and tune the detection strategies powering our core solution modules — Real-Time Payments (RTP), ACH, Wire, Check, and Application/Onboarding — balancing catch rate against customer friction.
Translate Typologies into Detection: Turn fraud and money-laundering typologies — synthetic identity, account takeover, scams, mule networks, structuring, check kiting — into concrete, testable detection logic.
Build the Global Consortium: Help design and stand up DataVisor's cross-industry fraud intelligence network — defining which signals to collect, how to normalize them across clients, and how to turn shared device and behavioral data into detection that generalizes.
Solve "Cold Start": Design generalized detection strategies that deliver immediate value to new clients, protecting them against known threats before their historical data is fully integrated.
Validate AI Agent Logic: Serve as the expert "Human-in-the-Loop" for our AI-driven strategy engine, reviewing automated fraud detection logic for soundness, transparency, and false-positive impact.
Partner Cross-Functionally: Work with Product, Strategy, Data Science, Delivery, and Engineering teams to take detection strategies from concept to production.
Qualifications
Education: BS or MS in Statistics, Mathematics, Economics, Computer Science, Engineering, or a related discipline.
Experience: Minimum 1 year of hands-on experience in fraud strategy, AML/financial crime, risk analytics, data science, or a closely related field.
Domain Knowledge: Working understanding of fraud or AML typologies and payment rails (FedNow, RTP, ACH, Wire).
Technical Core: Proficiency in Python (Pandas, NumPy, Scikit-learn) and SQL. Both are assessed in our technical screen.
Analytical Rigor: Solid foundation in performance evaluation and tradeoff analysis — precision/recall, AUC, KS, false-positive rates, alert volumes, and catch rate.
Preferred Qualifications
Experience owning fraud or AML strategy at a bank, credit union, fintech, or platform.
Familiarity with rules engines, case management systems, or alert-tuning workflows.
Exposure to unsupervised learning, anomaly detection, or graph/link analysis — as a consumer of these methods, not necessarily a builder.
Previous experience working in a high-growth SaaS or Fintech environment.
Salary ranges between USD 120,000 and 170,000.
Total compensation includes base salary, performance bonuses, and equity options.
Comprehensive medical, dental, and vision insurance coverage.
401(k) retirement savings plan available.
Discretionary Time Off (DTO) plus paid holidays.
Opportunities for research, development, and professional advancement.
Regular team-building events in a collaborative and innovative work environment.
Related keywords
Data ScientistAI SolutionsFraud DetectionAnti-Money LaunderingSaaSMachine LearningPythonSQLPandasNumPyScikit-learnStatistical ModelingFeature SelectionPrecision/RecallAUCKS
The most powerful AI fraud and AML detection platform trusted by the world's largest brands.
Industry
Software Development
Company size
51-200 employees
Founded
2013
Headquarters
Mountain View, California
LinkedIn followers
68,788
Total funding
$95M
DataVisor is the AI-native real-time decisioning engine for fraud and financial crime prevention. As AI transforms both fraud attacks and fraud defense, DataVisor helps financial institutions, payment providers, and digital businesses detect, investigate, and stop sophisticated and previously unseen threats in milliseconds across billions of transactions. Combining adaptive machine intelligence, consortium intelligence, and emerging agentic AI capabilities, DataVisor enables organizations to modernize fraud operations, improve customer experience, and stay ahead of rapidly evolving financial crime. DataVisor is trusted by leading financial institutions, payment innovators, Fortune 500 enterprises, and digital businesses worldwide.
Offices: 967 N Shoreline Blvd, Mountain View, California 94043, US
How much do Data & Analytics jobs in Mountain View, CA pay?
Based on 633 listings with disclosed salaries, most data & analytics jobs in Mountain View, CA pay between $140k–$293k per year. Individual offers vary with seniority, company size, and specialization.
How many Data & Analytics jobs are open in Mountain View, CA right now?
There are currently 700 open data & analytics positions in Mountain View, CA listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Data & Analytics roles in Mountain View, CA?
Companies currently hiring include Google, LinkedIn, NewsBreak, Databricks, ServiceNow, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Data & Analytics jobs in Mountain View, CA?
Yes — 208 of the 700 open data & analytics positions offer remote or hybrid work (26 remote, 182 hybrid).
How do I apply for Data & Analytics jobs in Mountain View, CA?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.