Pay
$118K–$194K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,761 postings in the last year. Stated ranges, not salaries paid.
Customer Data Scientist
United States
Live, first seen by us 65 days ago- Pay
- Pay not listedSimilar roles state $118K–$194K
- Work setting
Remote — work setting source
Location type: Remote
From the employer’s posting- Employment
Full-time — employment source
Employment type: Full-time
From the employer’s posting- Team
Customer › Customer Success — team source
Department: Customer › Customer Success
From the employer’s posting
Before you apply
- Sponsorship
Visa sponsorship not confirmed — sponsorship source
Will you now or in the future require employment sponsorship?
From the employer’s application form
What you’ll work on
Full postingTune detection models and thresholds on live customer transaction data, balancing effectiveness against false positives
Investigate missed cases, alert quality, and pattern drift, and turn findings into tuning changes
Build customer-facing analysis of investigator productivity and false positive cost reduction
Present findings and answer model questions live for customer compliance and data science teams
Document tuning reasoning and validate model changes through backtesting and sample review
From the employer’s posting
Tune and optimize detection models and thresholds against each customer's live transaction data, balancing detection effectiveness against false positive load
Investigate detection performance deeply: dig into missed cases, alert quality, and pattern drift, and turn what you find into concrete tuning or configuration changes.
Translate technical findings into customer-facing insight: build the analysis that shows investigator productivity gains, false positive cost reduction, and detection effectiveness improvements
Sit in the room with customers directly. Present findings, defend your methodology to a customer's own data science or compliance team
Document your reasoning so a customer's audit or regulator review holds up.
About Hawk
Hawk is the leading provider of AI-supported anti-money laundering and fraud detection technology.
In the employer’s words · Read in context · Company website ↗
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 3, 202665 days ago
- Recorded sightings
- 41
- Last seen by us
- Nov 8, 2026
- Employer says posted
- Sep 1, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 65
Up longer than most. Similar jobs usually come down between day 7 and day 57.
From 10,558 similar postings that came down. Coming down is not always a hire.
Hawk is hiring
3 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
Where the posting names them
- Real experience in AML, fraud detection, or financial crime analytics is required. You understand transaction monitoring, typologies, and what a false positive actually costs an investigator, not just what one costs on a confusion matrix. - Strong hands-on skills in the standard data science stack (Python, SQL, and whatever ML tooling you've used in production), but your edge is judgment under ambiguity: knowing when a model change is safe to make and when it needs a human in the loop. - Comfortable being the technical voice in a room with a customer's risk, compliance, or data science stakeholders, and holding your own when questioned.
Your next step
Complete your application on jobs.ashbyhq.com. The employer’s form will show what is required.
Applying through Ashby
- No account needed. “Autofill from resume” at the top of the form fills the key fields from your file.
Already applied? Track this application
Demand for Data Scientist roles
New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job description
About Us
Hawk is the leading provider of AI-supported anti-money laundering and fraud detection technology. Banks and payment providers globally are using Hawk’s powerful combination of traditional rules and explainable AI to improve the effectiveness of their AML compliance and fraud prevention by identifying more crime while maximizing efficiency by reducing false positives. With our solution, we are playing a vital role in the global fight against Money Laundering, Fraud, or the financing of terrorism. We offer a culture of mutual trust, support and passion – while providing individuals with opportunities to grow professionally and make a difference in the world.
Your MissionKey ResponsibilitiesSource details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
United States
- Experience specifically in transaction monitoring or payments fraud detection at a bank, payment provider, or a vendor serving them. - Familiarity with explainable AI and rules-based hybrid detection approaches, since that's core to how Hawk's models work.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.