Customer Data Scientist

Hawk
United States
Workplace: RemoteFull timeUSD 150,000 - 225,000 annuallyFunction: Data Science & Machine LearningExperience: 5-7 yearsSkills: ["Customer-facing communication","Defending technical methodology","Analysis and investigation","Judgment under ambiguity","Ownership"]

Tune and optimize AML and fraud-detection models for each customer using live transaction data, balancing detection quality with false-positive load. Investigate alert performance, missed cases, and pattern drift, then translate findings into customer-facing analysis that improves investigator productivity and reduces compliance risk. Work directly with regional Customer Value Partners, defend methodologies to regulators and stakeholders, and document defensible tuning decisions backed by validation and backtesting.

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Hawk
Hawk
4 days ago

Customer Data Scientist

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Source: Company careers pageValidated by: Fursa AI
Last checked: 8 hours agoStatus: Live

Job Summary

Tune and optimize AML and fraud-detection models for each customer using live transaction data, balancing detection quality with false-positive load. Investigate alert performance, missed cases, and pattern drift, then translate findings into customer-facing analysis that improves investigator productivity and reduces compliance risk. Work directly with regional Customer Value Partners, defend methodologies to regulators and stakeholders, and document defensible tuning decisions backed by validation and backtesting.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Tune and optimize detection models and thresholds for each customer’s live transaction data, balancing effectiveness and false-positive load.
  • •Deep-dive investigation of detection performance (missed cases, alert quality, and pattern drift) and convert findings into tuning or configuration changes.
  • •Create customer-facing narratives explaining what improved and why, including investigator productivity and cost impacts.
  • •Partner with regional Customer Value Partners on account strategy and model changes needed to unlock value and renewals.
  • •Ensure regulatory defensibility by documenting reasoning and validating model changes before going live using backtesting and sample review.

Pay and Benefits

Salary: USD 150,000 - 225,000 annually

Key Requirements

  • •5–7 years as a data scientist in a customer-facing role, presenting analysis and defending model decisions directly to clients.
  • •Real hands-on experience in AML, fraud detection, or financial crime analytics, including transaction monitoring and typologies.
  • •Strong skills in the data science stack, including Python and SQL, with production ML tooling experience.
  • •Ability to translate model performance into business value for non-technical stakeholders (investigator hours, false-positive cost, cases caught).
  • •Comfort working with ambiguity and live production systems, knowing when to make changes and when to involve humans.
Experience:5-7 yearsAMLFraud detectionFinancial crime analyticsTransaction monitoringPayments fraud detection
Skills:Customer-facing communicationDefending technical methodologyAnalysis and investigationJudgment under ambiguityOwnership
Tech Stack:PythonSQL

Company Brief

Hawk
Hawk provides cloud‑native, explainable AI solutions for anti‑money laundering, sanctions screening and fraud prevention, helping banks, payment providers and fintechs detect financial crime in real time and reduce false positives.
Industry: RegTech
Company Size: Medium (51 to 250 employees)
Growth: Scaleup
Funding: Series C
Headquarters: Munich, Germany
Founded: 2018
Glassdoor
Glassdoor: 3.5
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