---
title: 'Data Scientist at Pyyne'
canonical: 'https://feeny.ai/job/data-scientist-pyyne-brazil-bn5gn58kczeg'
type: 'job'
last_seen: '2026-09-09'
---

# Data Scientist at Pyyne

- **Company:** Pyyne
- **Location:** Brazil
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-08-26
- **Last confirmed live:** 2026-09-09
- **Apply:** https://jobs.ashbyhq.com/pyyne/96085095-908a-47a0-9cea-15beb53c80b3

## Job description

## ABOUT PYYNE

Pyyne is a modern technology consultancy engineering the next generation of digital products and services.

At Pyyne, we believe in using technology to unlock business potential, create sustainable growth, and drive forward digital excellence. Our solutions range from advanced Software Engineering, Cloud, and Data & AI solutions.

## JOB SUMMARY

Our client is a prominent NYC-based health tech company. They are seeking a mid-level Data Scientist to conduct product analysis and help design & evaluate A/B tests.

The Data Science team currently consists of 4 other Data Scientists, who work together to tackle a variety of projects each week.

A successful candidate in this role will be comfortable working closely with stakeholders across the data and business teams.

## Key Responsibilities

Product Analysis:

- Answer insightful analysis questions from stakeholders across the Product org
- Be able to ramp up on how different parts of the product & our data model function, to pull accurate results
- Partner with PMs and Engineers to design key metrics for different initiatives

Experiment Analysis:

- Be the “stats expert” alongside PMs to ensure we design effective experiments
- Understand and be able to intuitively explain concepts like power & sample size
- Analyze experiment results to determine what is statistically significant, being able to take into account common pitfalls and “p-hacking” that can happen with A/B testing
- Specific Deliverables (First 3-6 months):
- Ramp up on a particular product area and start answering ad hoc insight questions from there
- Design an experiment (with another DS there to mentor), see it launch, and then analyze it
- Give feedback on new team processes and come up with an idea to iterate / make a new one

Must Have Skills:

- You have 3+ years of Python and SQL experience in a Data Science environment, to aggregate, transform, and analyze data and conduct statistical analysis
- You have 3+ years of experience designing statistical tests and running A/B tests
- You have a proven track record of building successful stakeholder relationships across a range of teams and levels
- You have the ability to distill down complex data concepts and systems to non-technical stakeholders, both in writing and live conversations
- You have experience building predictive models using statistical and ML techniques and working closely with Engineering to bring your models to production
- You have demonstrated curiosity about AI and language models through coursework, projects, or independent exploration

## Nice to Have Skills

- You have experience working with digital consumer subscription products
- You have expertise in survival models, advanced LTV/CRM modeling, and growth accounting
- You have experience working with stakeholders in a number of cross functional areas, ranging from Product to Marketing to Finance to Engineering
- You have experience with AI-native developer tools such as Cursor, Codex, or Claude Code
- You have first-hand experience in data modeling and writing your own data pipelines

🚀 Don’t meet every single requirement? Apply anyway! At our core, we value growth, adaptability, and passion just as much as a checklist of skills. If you are excited about this role and your experience doesn't align perfectly with every tech requirement, we still encourage you to apply. The only non-negotiable for us is fluent English, as you'll be collaborating daily with global teams. If you’ve got the language skills and the drive to learn, you might be exactly who we are looking for to bring a fresh perspective to our team!

## About Pyyne

## Company Overview
- **One-liner**: Pyyne is an AI-native software engineering consultancy that embeds elite engineers alongside client teams to build digital products, manage cloud infrastructure, and deploy agentic AI systems.
- **Entity Type**: Private (Bootstrapped) – The company does not appear to have taken venture capital; it cites $100m ARR and self-funded, sustainable growth since founding.
- **Headquarters**: New York, New York, United States
- **Founded**: 2020
- **Founders**: Björn Rosander (CEO), Andreas Ehn (Chairman and Founding Partner)

## Core Business
- **Primary industries**: Information Technology & Services, Software Engineering, AI/ML Consulting, Cloud Infrastructure
- **Target customers**: B2B — mid-market to enterprise companies (e.g., Inveterate, energy storage firms, AI companies) needing forward-deployed engineering teams, interim CTOs, or AI enablement.
- **Mission statement**: To build what matters — combining agentic AI systems with deep human expertise to help clients ship faster, operate smarter, and scale without limits.

## Products & Services
- **Software Engineering**: Builds user-friendly digital products from ideation to operation, with a focus on scalable architecture and backend refactoring (e.g., reducing API response times from >2 seconds to ~100ms). [pyyne.com](https://www.pyyne.com/our-services)
- **Data, AI, & Agents**: Develops AI agents, data pipelines, and agentic workflows for automation; offers everything from small AI experiments to full data organization builds. [pyyne.com](https://www.pyyne.com/our-services)
- **Cloud, DevOps & Security**: Designs and configures secure, scalable cloud solutions and automates infrastructure to support rapid growth. [pyyne.com](https://www.pyyne.com/our-services)
- **Strategy & Advisory**: Steps in as interim CTOs or heads of engineering, and advises on technical due diligence and organizational change. [pyyne.com](https://www.pyyne.com/our-services)
- **AI Readiness Assessment**: A free benchmarking tool that evaluates an organization across Strategy, Data, Architecture, People, and Governance. [pyyne.com](https://www.pyyne.com/)

## Market Standing
- **Valuation**: Not disclosed (bootstrapped, no public funding rounds reported)
- **Key Metric**: $100m ARR (cited on website) [pyyne.com](https://www.pyyne.com/)
- **Headcount**: ~74–80+ employees (LinkedIn: 74, +24 YoY, +42.1% annual growth) [linkedin.com](https://www.linkedin.com/company/pyyne)
- **Notable Clients/Partners**: Inveterate (helped scale from 8,000 to 3,000,000 members under management in <2 years); one of the world’s fastest growing AI companies (undisclosed); a consumer smart energy storage company. [pyyne.com](https://www.pyyne.com/)
- **Offices**: New York (HQ), São Paulo, Stockholm, San Francisco [pyyne.com](https://www.pyyne.com/about-us)
- **Growth Signals**: 100% year-over-year growth; average employee tenure is 12+ months (high for consulting); 42% annual headcount growth; operations in 8 countries. [linkedin.com](https://www.linkedin.com/company/pyyne) [pyyne.com](https://www.pyyne.com/)

## Competitive Advantages
- **AI-native DNA**: Unlike traditional consultancies, Pyyne embeds agentic workflows and AI as a core service — not an afterthought.
- **Forward-deployed engineering model**: Engineers work directly inside client teams, blending strategic advisory with hands-on execution.
- **Proven scale outcomes**: Case studies show doubling engineering efficiency, reducing bugs in production, and 20x performance improvements.
- **Global, multi-lingual team**: Fluency in 13 languages, operations across 4 time zones (Americas, Europe), enabling 24/7 collaboration. [pyyne.com](https://www.pyyne.com/about-us)
- **Bootstrapped stability**: No VC pressure allows the firm to focus on long-term client partnerships and sustainable growth over short-term exits.

## Strategic Focus
- **Deepening AI capabilities**: AI is the company’s core differentiator — building AI agents, agentic workflows, and data pipelines is the primary growth engine.
- **Scaling the team**: Aggressively hiring senior backend engineers and AI automation engineers globally (7 open roles as of mid-2026).
- **Geographic expansion**: Continued build-out of offices in São Paulo, Stockholm, and San Francisco alongside the NYC HQ.
- **AI Readiness Assessment**: A thought-leadership tool to benchmark enterprises and drive new consulting engagements.

## Why Work Here
- **Culture**: Described as a “close-knit team of engineers and problem-solvers” focused on impact, humility, and trust. The company emphasizes developing people, not just software. [pyynedigital.teamtailor.com](https://pyynedigital.teamtailor.com/)
- **Ratings**: Employee rating of 4.3/5.0 on LinkedIn (27 reviews) — Work-Life: 4.4, Culture: 4.4, Career: 4.3, Compensation: 4.1. [linkedin.com](https://www.linkedin.com/company/pyyne)
- **Work model**: Hybrid — open roles in Stockholm are listed as “Hybrid” (other offices likely similar). Remote flexibility is implied by the global team structure.
- **Compensation**: Transparent salary ranges published — Senior Software Engineering Consultant: ~$181k/yr; Software Engineer Consultant: ~$137k/yr; Software Engineer: ~$125k/yr. [linkedin.com](https://www.linkedin.com/company/pyyne)
- **Team composition**: Highly technical (42% engineers, 26% consultants); strong seniority mix (25% senior-level staff). The firm actively hires from top consultancies and tech companies (Thoughtworks, BairesDev, Accenture).
- **Growth**: 42% YoY headcount growth signals rapid scaling and upward mobility for early joiners.
- **Notable perk**: “Engineers you love to work with” — the company prides itself on a collaborative, low-ego environment.

## Sources
1. [Pyyne Official Website](https://www.pyyne.com/)
2. [Pyyne About Us Page](https://www.pyyne.com/about-us)
3. [Pyyne Our Services Page](https://www.pyyne.com/our-services)
4. [LinkedIn Company Profile](https://www.linkedin.com/company/pyyne)
5. [Pyyne Careers Page (Teamtailor)](https://pyynedigital.teamtailor.com/)

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