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From Home Direct Mail Data Processing Jobs in Ridgewood, NJ

Imprint

Data Scientist, Risk

New York, NY · On-site +1

$170K - $200K/yr

... from application intake through approval-across every acquisition channel: direct affiliates ... direct mail, paid social, instant prescreens, and on-site applications. Your primary focus will be ...

Pelago

Creative Director, Growth

New York, NY · Hybrid

Own the campaign concepting process end-to-end , from identifying the insight (why this message ... Emails, landing page modules, direct mail layouts, campaign visuals: you build these yourself. The ...

Kapitus

Offline Media Marketing Manager

New York, NY · Remote

$62K - $100K/yr

... direct mail. This individual is results-driven, highly analytical, and adept at making data ... Set aside pre-tax dollars from your paycheck to pay for qualified out-of-pocket medical, dental ...

Share Local Media

Senior Marketing Manager

New York, NY · On-site

$120K - $128K/yr

So what does SLM actually do? We're a full-service direct mail & OOH agency, media program operator ... Great - We'd love to hear from you! The Role We're looking for a data-driven Senior Marketing ...

Share Local Media

Senior Marketing Manager

New York, NY · On-site

$120K - $128K/yr

So what does SLM actually do? We're a full-service direct mail & OOH agency, media program operator ... Great - We'd love to hear from you! The Role We're looking for a data-driven Senior Marketing ...

Share Local Media

Senior Marketing Manager

New York, NY · On-site

$120K - $128K/yr

So what does SLM actually do? We're a full-service direct mail & OOH agency, media program operator ... Great - We'd love to hear from you! The Role We're looking for a data-driven Senior Marketing ...

Sciolex Group

Mail Clerk

Manhattan, NY · On-site

$19.30/hr

From our humble beginning as a small Service Disabled, Veteran Owned Small Business in Chantilly ... is now the home for over 1,000 employees across the U.S. Over the past 20 years, Sciolex ...

Sciolex Corporation

Mail Clerk

Long Island City, NY · On-site

$19.30/hr

From our humble beginning as a small Service Disabled, Veteran Owned Small Business in Chantilly ... is now the home for over 1,000 employees across the U.S. Over the past 19 years, Sciolex ...

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Showing results 21-40

All JobsDirect Mail Data Processing JobsFrom Home Direct Mail Data Processing JobsFrom Home Direct Mail Data Processing Jobs in Ridgewood, NJ

From Home Direct Mail Data Processing information

See Ridgewood, NJ salary details

$12

$17

$22

How much do from home direct mail data processing jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for from home direct mail data processing in Ridgewood, NJ is $17.37, according to ZipRecruiter salary data. Most workers in this role earn between $15.58 and $18.46 per hour, depending on experience, location, and employer.

What is the difference between From Home Direct Mail Data Processing vs From Home Data Entry Specialist?

AspectFrom Home Direct Mail Data ProcessingFrom Home Data Entry Specialist
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentHome-based, often involves handling mailing lists and processing data for direct mail campaignsHome-based, involves inputting data into databases or spreadsheets
Industry UsageMarketing, advertising, direct mail companiesVarious industries including healthcare, finance, retail
Search & Comparison IntentHigh overlap in skills and job functions, often compared by those seeking remote data jobs

From Home Direct Mail Data Processing focuses on managing mailing lists and preparing data specifically for direct mail campaigns, while From Home Data Entry Specialist involves general data input tasks across multiple industries. Both roles require similar skills but serve different industry needs.

What are some common challenges faced by remote direct mail data processing professionals, and how can they be managed?

Remote direct mail data processing professionals often encounter challenges such as managing large volumes of sensitive data securely, coordinating with mailing teams across different locations, and maintaining high accuracy under tight deadlines. To manage these challenges, it's essential to use reliable data management software, establish clear communication channels with team members, and create a structured workflow to track progress and catch errors early. Regular check-ins and ongoing training can also help ensure data quality and foster a collaborative remote work environment.

What is a from home direct mail data processing?

A From Home Direct Mail Data Processing job involves managing and organizing data related to direct mail campaigns from a remote location. This typically includes entering, cleaning, and formatting mailing lists, ensuring addresses are accurate, and sometimes preparing files for printing or distribution. Workers may also analyze response data and generate reports to help improve future campaigns. These roles require attention to detail, proficiency with spreadsheet and database software, and the ability to work independently from home.

What are the key skills and qualifications needed to thrive as a from home direct mail data processing specialist?

To excel in From Home Direct Mail Data Processing, you need strong computer literacy, attention to detail, and a solid understanding of data entry or database management, often supported by a high school diploma or equivalent. Familiarity with mail merge software, Microsoft Excel, CRM platforms, and postal automation tools is typically required. Strong organizational skills, time management, and reliability are crucial soft skills for meeting deadlines and maintaining data accuracy while working independently. These competencies ensure efficient processing, minimize errors, and uphold the integrity of direct mail campaigns.
What are popular job titles related to From Home Direct Mail Data Processing jobs in Ridgewood, NJ? For From Home Direct Mail Data Processing jobs in Ridgewood, NJ, the most frequently searched job titles are:
From Home Direct Mail Data Processing jobs near you

Data Scientist, Risk

Imprint

New York, NY • On-site, Remote

$170K - $200K/yr

Full-time

Medical, PTO

Re-posted 11 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.

Apply