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Data Trace Jobs (NOW HIRING)

Imprint

Data Scientist, Risk

New York, NY · On-site +1

$170K - $200K/yr

Full-stack problem-solving orientation: you dive into messy data, trace a decline to its root cause, and question assumptions in pursuit of a better answer * Ability to present complex findings ...

OPENLANE

Skip Trace Coordinator

We're a data company helping customers buy and sell smarter with clear, actionable insights they ... We are seeking a Skip Trace Coordinator who will coordinate and administer various investigative ...

Circle Logistics

Track and Trace Specialists

Whiteland, IN · On-site

$17 - $20/hr

Track & Trace Representative - Whiteland, IN As Track & Trace Representative, you will work in a ... data entry, call center, dispatch or logistics * Must have strong attention to detail * Ability to ...

Ever.Ag

Sr. Milk Accounting Specialist

OR · Remote

Strong analytical mindset - you can spot patterns in data, trace transactions, and draw sound conclusions * Excellent communication skills; able to translate complex numerical data for clients ...

SiFive

Lead Debug/Trace/Profiling Design Engineer

Boston, MA · On-site

$111K - $146K/yr

... and most data-intensive applications in the world. SiFive's unrivaled compute platforms are ... This role focused on debug, trace and profiling will be especially vital to SiFive's effort to ...

Drees Homes

Title Examiner

Jacksonville, FL · On-site

Data Trace and/or Integrity Title Plant knowledge * Experience with Softpro Select a plus * Strong computer skills including proficiency with Microsoft Office, Word and Excel * Detail oriented with ...

SiFive

Lead Debug/Trace/Profiling Design Engineer

Austin, TX · On-site

$101K - $133K/yr

... and most data-intensive applications in the world. SiFive's unrivaled compute platforms are ... This role focused on debug, trace and profiling will be especially vital to SiFive's effort to ...

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How much do data trace jobs pay per year?

As of Aug 3, 2026, the average yearly pay for data trace in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is a Data Trace job?

A Data Trace job involves researching, tracking, and verifying data from various sources to ensure accuracy and completeness. Professionals in this role analyze records, databases, and other information repositories to extract relevant details. This work is commonly used in industries such as finance, legal, and investigations to verify identities, track assets, or confirm historical data. Strong attention to detail, analytical skills, and familiarity with data management tools are essential for success in this field.

What are some typical daily responsibilities for a Data Trace professional?

As a Data Trace professional, your day-to-day responsibilities may include conducting thorough research using databases and public records, analyzing information to track financial transactions or assets, and preparing detailed reports summarizing your findings. You will frequently collaborate with legal teams, compliance officers, or investigative departments to provide critical data supporting ongoing cases or audits. Additionally, you may need to stay updated on evolving data sources and technologies to improve tracing methods. Attention to detail and strict adherence to confidentiality are essential, as your work often supports sensitive investigations or compliance procedures.

What are the key skills and qualifications needed to thrive in the Data Trace position, and why are they important?

To excel as a Data Trace professional, you need strong analytical skills, meticulous attention to detail, and experience with data management or investigative research, often supported by a background in criminal justice, information technology, or finance. Proficiency with specialized data tracing software, public records databases, and possibly certifications such as Certified Fraud Examiner (CFE) are highly beneficial. Strong problem-solving abilities, discretion, and effective communication are invaluable soft skills in this role. These competencies ensure accurate and efficient tracing of data for legal, financial, or compliance purposes, while maintaining transparency and integrity.

More about Data Trace jobs
What cities are hiring for Data Trace jobs? Cities with the most Data Trace job openings:
What are the most commonly searched types of Data Trace jobs? The most popular types of Data Trace jobs are:
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Data Trace jobs near you
Infographic showing various Data Trace job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Scientist, Risk

Imprint

New York, NY • On-site, Remote

$170K - $200K/yr

Full-time

Medical, PTO

Re-posted 4 days ago

Job description

Who We Are
Imprint helps the world's best brands grow the lifetime value of their customers. We started with co-branded credit cards and rebuilt them to be smarter, more rewarding, and brand-first. We partner with companies like Crate & Barrel, Rakuten, Booking.com, H-E-B, Fetch, and Shell to launch modern credit programs that deepen loyalty, unlock savings, and drive growth. But the card is just the beginning. We combine advanced payments infrastructure, intelligent underwriting, and deep customer data to create delightful and personalized experiences for members as well as efficient and profitable relationships for our brand partners. Our robust technology and world-class operations allow us and our brand partners to offer powerful financial products without becoming a bank.
In the U.S., co-branded cards alone account for over $300 billion in annual spend, and most still run on decades-old legacy bank systems. Imprint is the modern alternative: flexible, embeddable, and built for how people actually pay today. Backed by Kleiner Perkins, Thrive Capital, Ribbit, and Khosla Ventures, we're building a world-class team to redefine how people pay and how brands grow. If you want to move fast, solve hard problems, and own real outcomes, we want to meet you.
Role Summary
The Risk team at Imprint is responsible for making smarter, faster credit decisions that balance growth with responsible risk management. The team builds the models, policies, and analytical systems that power underwriting, fraud detection, and portfolio optimization across all of Imprint's credit programs.
As a Data Scientist, Risk, you will own the modeling powering Imprint's top-of-funnel credit decisioning-from application intake through approval-across every acquisition channel: direct affiliates (Credit Karma, NerdWallet), invitation-to-apply emails, direct mail, paid social, instant prescreens, and on-site applications. Your primary focus will be improving approval rates while maintaining credit quality: building better underwriting models, designing policy experiments, and uncovering segments where we can safely expand access to credit.
This role sits at the intersection of credit and acquisition strategy. You will partner directly with Credit Strategy, Product, Engineering, and Marketing to build targeting models for new channels, evaluate channel-level credit performance, and connect acquisition volume to downstream economics-approval rates, vintage loss forecasts, LTV, CAC, and contribution profit. Increasingly, that means building not just analyses but AI-powered systems that can autonomously monitor approval rate, channel performance, diagnose shifts, and recommend policy adjustments.
The Opportunity
  • Own and improve the full top-of-funnel credit decisioning pipeline: application scoring, policy rules, decline waterfalls, and approval rate optimization across direct affiliates, invitation-to-apply, direct mail, paid social, instant prescreens, and on-site applications
  • Build and iterate on underwriting, targeting, and segmentation models that expand safe approvals and improve channel-level acquisition quality
  • Design and analyze A/B tests and champion/challenger experiments on credit policies, establishing a test-and-learn cadence with structured readouts on both acquisition and credit performance
  • Build channel-level performance models that connect application volume to downstream economics: approval rates, expected losses, LTV, CAC, and contribution profit
  • Design and build agentic workflows and AI-powered monitoring systems that autonomously detect approval rate anomalies, diagnose score drift and population mix changes, and recommend policy adjustments
  • Partner directly with Credit Strategy, Product, Engineering, and Marketing to develop targeting criteria and risk frameworks for new and emerging acquisition channels
  • Build segmentation frameworks to identify underserved populations where credit access can be responsibly expanded

Your Profile
Required
  • 5 to 8+ years of experience in data science, risk analytics, or a related quantitative field, ideally at a high-growth startup or fintech company
  • Strong Python and SQL skills, with the ability to build models, transform raw data, and create custom datasets from complex financial data
  • Experience building credit risk or targeting models (scorecards, underwriting models, segmentation) or similar predictive modeling in a regulated environment
  • Deep understanding of statistical inference, experimentation design, and causal analysis, with the ability to disentangle policy impact from population shifts and channel mix changes
  • Comfort with AI tools and AI-native workflows; you actively use tools like Claude, Copilot, or similar to accelerate your work and are excited to build AI-powered analytical systems
  • Full-stack problem-solving orientation: you dive into messy data, trace a decline to its root cause, and question assumptions in pursuit of a better answer
  • Ability to present complex findings clearly to technical and non-technical audiences, including senior leadership and external partner stakeholders
  • Comfort owning projects end-to-end in a fast-moving startup environment with limited scaffolding, collaborating cross-functionally with Policy, Strategy, Product, and Engineering

Nice to Have
  • Experience with credit card underwriting, lending, or consumer credit products
  • Familiarity with credit bureau data (Vantage, FICO, tradeline attributes) and alternative data sources
  • Experience building or scaling experimentation infrastructure for credit policy testing
  • Exposure to fraud detection, KYC/IDV workflows, or application fraud models
  • Understanding of acquisition channel economics and experience partnering with marketing or credit strategy teams on targeting and LTV modeling

We don't expect every candidate to check every box. If this role excites you and you bring strong fundamentals, we encourage you to apply.
Stack
Python and SQL for modeling and analysis. Snowflake for data warehousing. AWS infrastructure. Dashboarding and monitoring tools for production systems.
Learn More
Learn more about how we build at Imprint on our engineering blog: https://medium.com/imprint-eng
Perks & Benefits
  • Competitive compensation and equity packages
  • Leading configured work computers of your choice
  • Flexible paid time off
  • Fully covered, high-quality healthcare, including fully covered dependent coverage
  • Additional health coverage includes access to One Medical and the option to enroll in an FSA
  • 20 weeks of paid parental leave for the primary caregiver and 8 weeks for all new parents
  • Access to industry-leading technology across all of our business units, stemming from our philosophy that we should invest in resources for our team that foster innovation, optimization, and productivity

Imprint is committed to a diverse and inclusive workplace. Imprint is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. Imprint welcomes talented individuals from all backgrounds who want to build the future of payments and rewards. If you are passionate about FinTech and eager to grow, let's move the world forward, together.

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