Data Scientist to build AI - Driven 360° User Comms Engine for Sweat Wallet Lisboa

Overview

Data Scientist to build AI-Driven 360° User Comms Engine for Sweat Wallet

Sweat Foundation’s Mission is to make the world healthier and wealthier by tracking, verifying and tokenising the value of your physical activity into real financial asset - $SWEAT token. Users receive and manage their $SWEAT and other crypto tokens in the mobile
- custodial crypto wallet app - Sweat Wallet.

With more than 20M $SWEAT token holders and millions of active users in the Sweat Wallet app, Sweat Foundation created the largest onramp into web3/onchain world for
- curious.

You can download the app here: https://swe. at

Role overview:

We’re hiring the builder of our
- gen user communication engine for Sweat Wallet’s millions of users.

Your mandate: replace a patchwork of push/email/support tools with one LLM-powered platform that orchestrates inbound and outbound, picks the right channel and moment, and crafts personalized messages at scale. You’ll harness terabytes of behavioral data and operational history so every message we send is consistent, respectful, and genuinely useful - helping people become healthier and wealthier without adding noise.

If you love data, care about comms craft, and hate spam, you’ll shape the system that makes our messages read, valued, and trusted.

Responsibilities

• Research, build, ship and run experiments optimizing the current communications systems, potentially merging them into a single
  - rich engine that will engage, guide and support Sweat Wallet users on their wealth and health journey.
• Understand and document the current communication channels: outbound product communications via Moengage and direct backend sending, ticketing support system with a custom LLM agent and Zendesk,
  - app information LLM agent, social channels (Telegram, Discord, Twitter) managed by moderators, and app store reviews.

Qualifications

• Advanced SQL and Python
• Ability to write
  - ready code (Docker, Git, Airflow)
• Knowledge and experience of statistical methods
• Product-oriented mindset - communications should be user centric
• Strong attention to detail, ownership and proactive mindset
• Excellent English-speaking skills to communicate effectively within the team
• Mastery of balancing between
  - management and dynamic teamwork
• Experience in building with LLMs (prompting techniques and limitations, tool usage, context engineering)

What you will get

• Remote-friendly & Flexible Working Hours
• Unlimited PTO
• Apple devices for work
• Wellbeing and learning allowances
• Health insurance allowance
• Office Location: Lisbon, Portugal - ideally based in Lisbon or open to relocating after the probation period

What to Expect in the Hiring Process

• Initial interview with HR
• Interview with the Line Manager
• Test assignment
• Interview with the CEO/Co-founder
• Reference checks (3-4 contacts)