3 months ago

Data Scientist

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Hands-on data scientist focused on building AI-driven fraud and risk systems. Work with messy, real-world data, apply graph-based approaches and entity resolution, and improve labeling using heuristics and modern AI tools. Collaborate with engineering to scale data-driven systems for production use across KYB, trust & safety, and compliance workflows.

Location: San Francisco

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Build fraud & risk systems: Design and ship production systems that detect and prevent fraud across KYB, trust & safety, and compliance workflows.
•Work with messy, real-world data: Tackle problems with extreme class imbalance, sparse signals, evolving adversarial behavior, and limited ground truth.
•Leverage relationships in data: Apply graph-based approaches and entity resolution techniques to uncover hidden connections and improve risk detection.
•Improve signal & labeling: Use heuristics, weak supervision, and modern AI tools (including LLMs where appropriate) to generate better features and labels.
•Help scale our infrastructure: Partner with engineering to build and evolve systems for feature generation, model training, and production deployment across multiple use cases.

Pay and Benefits

Salary: USD 155,000 - 180,000 annually

Key Requirements

•4+ years of experience in fraud, risk, or trust & safety
•Experience building and shipping production data-driven systems
•Strong foundation in applied ML or data systems
•Experience with graph or relational data approaches
•Hands-on and pragmatic

Experience:4+ yearsFraudRiskTrust & safetyAI/MLData science

Skills:Problem-solvingCommunicationCollaborationAttention to detailAnalytical thinking

Tech Stack:PythonSQLMLLLMsGraphsEntity resolution

Company Brief

Middesk

Provides B2B identity verification and business data infrastructure to help companies onboard, verify, and risk-assess businesses and their owners through APIs and workflow tools.

Industry: Fintech Infrastructure

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Funding: Series C

Headquarters: San Francisco, United States

Founded: 2018

Website LinkedIn

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Middesk

3 months ago

Data Scientist

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: San Francisco

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Build fraud & risk systems: Design and ship production systems that detect and prevent fraud across KYB, trust & safety, and compliance workflows.
•Work with messy, real-world data: Tackle problems with extreme class imbalance, sparse signals, evolving adversarial behavior, and limited ground truth.
•Leverage relationships in data: Apply graph-based approaches and entity resolution techniques to uncover hidden connections and improve risk detection.
•Improve signal & labeling: Use heuristics, weak supervision, and modern AI tools (including LLMs where appropriate) to generate better features and labels.
•Help scale our infrastructure: Partner with engineering to build and evolve systems for feature generation, model training, and production deployment across multiple use cases.

Pay and Benefits

Salary: USD 155,000 - 180,000 annually

Key Requirements

•4+ years of experience in fraud, risk, or trust & safety
•Experience building and shipping production data-driven systems
•Strong foundation in applied ML or data systems
•Experience with graph or relational data approaches
•Hands-on and pragmatic

Experience:4+ yearsFraudRiskTrust & safetyAI/MLData science

Skills:Problem-solvingCommunicationCollaborationAttention to detailAnalytical thinking

Tech Stack:PythonSQLMLLLMsGraphsEntity resolution

Company Brief

Middesk

Provides B2B identity verification and business data infrastructure to help companies onboard, verify, and risk-assess businesses and their owners through APIs and workflow tools.

Industry: Fintech Infrastructure

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Funding: Series C

Headquarters: San Francisco, United States

Founded: 2018

Website LinkedIn