---
title: 'Applied Data Scientist at Nift'
canonical: 'https://feeny.ai/job/applied-data-scientist-nift-tel-aviv-t0dm80sb7v31'
type: 'job'
last_seen: '2026-09-04'
---

# Applied Data Scientist at Nift

- **Company:** Nift
- **Location:** Tel Aviv, Israel
- **Posted:** 2026-08-04
- **Last confirmed live:** 2026-09-04
- **Apply:** https://job-boards.greenhouse.io/nift/jobs/5176532007

## Job description

Nift is disrupting performance marketing, delivering millions of new customers to brands every month. We're hiring a hands-on Senior Applied Data Scientist to help build and scale production-grade recommendation systems that drive our core marketplace outcomes.

This is not a research-only role. We're looking for someone who can take models from idea to production — running experiments, measuring business impact, and continuously improving the systems behind how Nift matches people with the right brands. You'll own the full lifecycle: exploratory analysis, data prep, modeling, testing, deployment, and post-launch measurement.

The ideal candidate has worked in a real production environment, brings strong deep learning experience, and understands recommendation systems in practice — not just in theory. Success here means shipping models that move Nift's core KPIs, connecting technical work to measurable business impact, and helping the team scale with strong engineering discipline.

This role is ideally based in Israel, but strong candidates in the U.S. will also be considered.

## What You'll Do

- Own the full funnel of applied machine learning work, from idea through production
- Build, improve, and deploy recommendation models that support Nift's core business goals
- Tackle deep learning problems in a production setting — not just offline experimentation
- Conduct exploratory data analysis, preprocessing, feature development, and modeling
- Run experiments and evaluate success against business KPIs, not just model metrics
- Partner with engineering and infrastructure teammates to productionize models and scale systems
- Improve recommendation quality, personalization, and the business performance tied to those systems

## What You'll Have

- 5+ years of experience in production data science environments
- Strong hands-on experience taking machine learning models into production
- Strong deep learning experience; proficiency with PyTorch or TensorFlow is expected
- Direct experience with recommendation systems, or adjacent experience in areas like bidding or dynamic pricing
- Strong Python and SQL skills
- Experience working with data at meaningful scale — high-scale environments are a strong plus
- The ability to measure model success through business outcomes such as revenue, conversion, churn, or similar KPIs

Bonus points for:

- A Master's degree, especially paired with strong production experience
- A PhD paired with meaningful production-grade work (purely academic backgrounds aren't the target profile for this role)
- A software engineering background — particularly for candidates who've built pipelines and production systems before moving into machine learning

## About Us

Our mission is to reshape how people discover and try new brands by introducing them to new products and services through thoughtful "thank-you" gifts. Our customer-first approach ensures businesses acquire new customers efficiently while making customers feel valued and rewarded.

We are a data-driven, cash-flow-positive company that has experienced 731% growth over the last three years. Now we're scaling to become one of the largest sources of new customer acquisition worldwide. Backed by investors who supported Fitbit, Warby Parker, and Twitter, we're poised for exponential growth and ready to demonstrate impact on a global scale.

## About Nift

## Company Overview
- **One-liner**: Nift helps platforms and brands turn moments of appreciation into powerful customer experiences by delivering AI-matched, personalized thank-you gifts that drive discovery and measurable business results.
- **Entity Type**: Private (Series A; total funding $19.5M)
- **Headquarters**: Boston, Massachusetts, United States
- **Founded**: 2014
- **Founders**: Not publicly available

## Core Business
- **Primary industry**: Performance marketing / advertising services (gift-based customer acquisition)
- **Target customers**: B2B (platforms like Afterpay, Klarna, Tripadvisor, Ticketmaster; brands like Fabletics, Chewy, Harry’s, HelloFresh)
- **Mission**: “Elevate gratitude through thoughtful gifts, forging meaningful connections, and empowering businesses to thrive together.”

## Products & Services
- **Nift Platform**: An AI-powered performance marketing platform that enables partner platforms to reward their users with curated gift cards from a network of thousands of brands. Consumers receive a “thank-you” gift after completing an action (purchase, signup, review, milestone); Nift’s proprietary AI matches each user with relevant gift options based on preferences and availability. The result is a measurable lift in customer acquisition and loyalty for brands, and higher engagement for platforms.

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: Annual revenue of $7M (LinkedIn estimate); $19.5M total funding raised across two seed rounds and a Series A
- **Notable Investors**: Spark Capital (seed), Foundry Group, Accomplice (Series A lead)
- **Notable Partners**: Afterpay, Klarna, Tripadvisor, Ticketmaster, Meetup, Mindbody, ParkMobile, iHeartRadio; brands include Fabletics, Chewy, Harry’s, HelloFresh, Allbirds, Rocksbox, Quip, Scentbird, LiquidIV, SiriusXM
- **Growth Signals**: Delivers 50 million+ thank-yous per month across the U.S., UK, and Canada; recognized by Deloitte as one of North America’s fastest-growing technology companies; headcount grew 22.3% YoY (to ~53 employees), operating in 7 countries; recent job postings up 240% year-over-year; expanding into EMEA (hiring General Manager, UK)

## Competitive Advantages
- **AI-driven matching** that increases conversion rates (up to 10%) and drives 70% of consumers to plan purchases from discovered brands
- **Network effects** – a curated marketplace of thousands of brands and millions of consumers, creating a “gratitude flywheel” that benefits all parties
- **Seamless integration** with high-engagement platforms, turning thank-you moments into incremental revenue streams
- **Proven outcomes** – 72% of consumers feel more positively about the platform that rewarded them

## Strategic Focus
- Deepen partnerships with leading consumer platforms and expand into new verticals and geographies (U.K., Australia, Canada)
- Scale the brand network and improve AI personalization to increase conversion and lifetime value
- Continue investing in data science and engineering to maintain competitive advantage in targeting and measurement

## Why Work Here
- **Culture**: Fully remote across all 50 U.S. states (and Israel); emphasis on innovation, transparency, respect, and data-driven decision-making
- **Benefits**: Comprehensive health, dental, vision insurance; equity for all full-time employees; unlimited responsible PTO; quarterly team meetups, trivia nights, and an annual company-wide offsite
- **Growth**: Opportunities for advancement based on performance and impact; roles in data science, sales, finance, people, and more
- **Team**: ~53 employees (LinkedIn) with a flat structure; rated 3.9/5 on employer reviews with a 4.3/5 for work-life balance
- **Values**: “We treat everyone with respect. Period.” – a strong commitment to diversity and inclusion

## Sources
1. [Greenhouse Jobs Page](https://job-boards.greenhouse.io/nift)
2. [Nift Careers Page](https://www.gonift.com/business/careers/)
3. [Nift Main Website](https://www.gonift.com/)
4. [LinkedIn Company Page](https://www.linkedin.com/company/nift-networks)
5. [Built In Boston Profile](https://www.builtinboston.com/company/nift)

## Other roles at Nift

- [Executive Assistant to the CEO](https://feeny.ai/job/executive-assistant-to-the-ceo-nift-united-states-9t3mpbbx5x99) — United States
- [VP of Marketing](https://feeny.ai/job/vp-of-marketing-nift-united-states-m0jzpxk16fth) — United States
- [Chief of Staff](https://feeny.ai/job/chief-of-staff-nift-boston-wtcamf8q38h7) — Boston, MA
- [Data Analyst](https://feeny.ai/job/data-analyst-nift-israel-41xep38wtdzr) — Israel
- [Account Executive, Mid Market (Martech)  *REMOTE*](https://feeny.ai/job/account-executive-mid-market-martech-remote-nift-united-states-ca9cprzpwhcd) — United States
- [Creative Director, Copy](https://feeny.ai/job/creative-director-copy-nift-united-states-1h2q8p75dj3c) — United States
- [Sales Director, Partnerships](https://feeny.ai/job/sales-director-partnerships-nift-united-states-fq2y2t45qvxr) — United States
- [Senior Talent Acquisition Specialist](https://feeny.ai/job/senior-talent-acquisition-specialist-nift-united-states-qsrvdfsr3hnw) — United States
- [General Manager, EMEA / UK](https://feeny.ai/job/general-manager-emea-uk-nift-united-kingdom-z44s7jsbmn7v) — United Kingdom
- [Applied Data Scientist](https://feeny.ai/job/applied-data-scientist-shift5-rosslyn-va-59hbf4nnxyt6) — Rosslyn VA, OR