Quantifind
Associate Data Scientist
Palo Alto, CA · Full-time
Sponsorship not specified$100k-$130kDetected 23 days ago
PythonJavaScalaData StructuresAlgorithmsSQLMachine LearningSparkData EngineeringData ScienceNLPLLMsStatisticsA/B TestingHRResearchCollaboration
Stay score
odds of building a lasting career here
47Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level II)66
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~30% per draw at Level II). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
Level I$125,4861 entry
Level II$168,9172 entries
Level III$212,3263 entries
Level IV$255,7574 entries
The bottom of this range ($100,000) is below the Level I prevailing wage of $125,486. An H-1B cannot be filed below the prevailing wage, so an offer at the floor of this band could not be sponsored as posted.
DOL prevailing wage, 2026-27 wage year · Data Scientists (15-2051) · San Jose-Sunnyvale-Santa Clara, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
Employer immigration record
from this employer's Department of Labor filings
Files H-1B transfers
3 transfer filings in the last year, covering 3 workers. Median labor-condition decision: 11 days. An employer that already files transfers is one that can take over an existing H-1B.
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- Quantifind is seeking to fill an Associate Data Scientist position on our Data Science team in Palo Alto, California.
- Our development team is centered here in Palo Alto, and we have technology hubs in Atlanta, Georgia, and in Washington, D.C. We are currently using a hybrid mix of working from home and in the office.
- A fun environment where work-life balance is valued
Requirements
- You are skilled at finding the precise mathematical kernels of real-world problems and want to bring that talent to bear on the business questions facing the world's leading financial services companies.
- You are excited to apply your existing expertise in fields such as statistics and computer science to solve mission critical problems.
- You are passionate about maintaining the high scientific and engineering standards required to enable your peers.
- Above all, you are a curious and independent problem solver who is motivated to find a place where your skills can have real impact.
- Experience with SQL and/or Spark
Nice to have
- Collaborating with fellow team members and key stakeholders, such as, Product Managers, Platform Engineers to explore ideas, test hypotheses, and prototype solutions.
- Working in an agile environment breaking down complex problems into smaller manageable tasks with the help of your teammates and manager.
- Leveraging SQL, Python and PySpark to analyze large unstructured data sets to answer key business questions, inform research directions, or set up modeling tasks.
- Designing, writing, and maintaining ETL pipelines for integrating large and complex datasets.
- Implementing Data Science solutions in our Production Scala codebase following software engineering best practices.
- Participating in code reviews.
- At least 1 year of professional industry experience, in addition to your academic experience
- Outstanding analytical skills and the ability to communicate quantitative results to technical and non-technical audiences
Compensation
- The base salary range for this full-time position is $100,000-$130,000.
- Competitive salary
Benefits
- Company Equity
- Exceptional benefits package
- Flexible Vacation & Paid Time Off
- Training machine learning models to solve complex problems.
- Strong knowledge of Statistics/Probability/Machine Learning including core concepts of hypothesis testing, inference, bias-variance trade-off, regularization, dimensionality reduction etc.
- Experience with popular machine learning algorithms such as random forests, Boosting, and neural networks
- Within the range, individual pay is determined by work location, role-related knowledge and skills, depth of experience, relevant education or training, and additional role-related considerations.
Company info
- Quantifind helps some of the world's biggest banks catch money laundering and fraud. Quantifind also works with government agencies to use the same platform to uncover criminal networks and combat money laundering committed by internationally sanctioned entities. Unlike other players in this space, Quantifind delivers results as Software-as-a-Service (SaaS) with consumer-grade user experiences.
- Quantifind is a data science technology company whose AI platform uncovers signals of risk across disparate and unstructured text sources. In financial crimes risk management, Quantifind's solution uniquely combines internal financial institution data with public domain data to assess risk in the context of Know Your Customer (KYC), Customer Due Diligence (CDD), Fraud Risk Management, and Anti-Money Laundering (AML) processes. Today these compliance processes are burdened by ever-increasing regulatory responsibilities and an expectation of frictionless transactions. Legacy technologies demand increasingly more human resources as the operations expand
- Quantifind's solution offers a way to cut through the inefficiency and enhance effectiveness through Machine Learning driven solutions that resolve for both accuracy and relevance.
- To help you succeed, we provide a supportive environment that fosters collaboration between teams and team members, where learning and professional growth are considered a key part of your success, and of ours. We offer a flexible work environment with a family friendly work-life balance.
- Quantifind helps some of the world's biggest banks catch money laundering and fraud.
- Quantifind also works with government agencies to use the same platform to uncover criminal networks and combat money laundering committed by internationally sanctioned entities.
- Unlike other players in this space, Quantifind delivers results as Software-as-a-Service (SaaS) with consumer-grade user experiences.
- Quantifind is a data science technology company whose AI platform uncovers signals of risk across disparate and unstructured text sources.
- In financial crimes risk management, Quantifind's solution uniquely combines internal financial institution data with public domain data to assess risk in the context of Know Your Customer (KYC), Customer Due Diligence (CDD), Fraud Risk Management, and Anti-Money Laundering (AML) processes.
- Today these compliance processes are burdened by ever-increasing regulatory responsibilities and an expectation of frictionless transactions.
- Legacy technologies demand increasingly more human resources as the operations expand; Quantifind's solution offers a way to cut through the inefficiency and enhance effectiveness through Machine Learning driven solutions that resolve for both accuracy and relevance.
- To help you succeed, we provide a supportive environment that fosters collaboration between teams and team members, where learning and professional growth are considered a key part of your success, and of ours.
- We offer a flexible work environment with a family friendly work-life balance.
Equal opportunity
- We are an equal opportunity employer.
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This listing is sourced directly from Quantifind's careers page and normalized into a canonical job model.