---
title: 'Sr. Data Scientist at Pyyne'
canonical: 'https://feeny.ai/job/sr-data-scientist-pyyne-campinas-sao-paulo-j82kt9dp2spd'
type: 'job'
last_seen: '2026-10-14'
---

# Sr. Data Scientist at Pyyne

- **Company:** Pyyne
- **Location:** Campinas São Paulo, Brazil
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-10-09
- **Last confirmed live:** 2026-10-14
- **Apply:** https://jobs.ashbyhq.com/pyyne/dfbe0e7d-750c-4978-bf8e-92de7b58a4f6

## 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 Pyyne is seeking a Senior Data Scientist with experience building and deploying statistical and machine learning solutions to work as a consultant out of our Latin American Office. This is a high-impact role for Pyyne as we begin a new engagement with a large US-based e-commerce retailer, and this is the first technical role on the project. A successful candidate in this role will partner with a Pyyne Project Manager and the client's head of data to turn business questions into models and analyses that stakeholders can act on.

## Key Responsibilities

- Translate business questions from stakeholders into well-defined analytical problems, and explain findings and trade-offs clearly to technical and non-technical audiences.
- Explore, clean, and validate data from multiple sources, building reliable datasets and features for analysis and modeling.
- Design, train, and evaluate statistical and machine learning models, choosing the simplest approach that solves the problem.
- Design and analyze experiments (for example A/B tests) and define metrics that measure business impact.
- Work with the client's data and engineering teams to move models and analyses into production and keep them monitored over time.
- Write clean, tested, reproducible code and document assumptions, methods, and results so others can build on them.
- Work closely with team members to keep progress visible and raise risks early.

Must Have Skills:

- 4+ years of professional experience as a Data Scientist or in a comparable applied machine learning or advanced analytics role
- Strong Python (pandas, scikit-learn, or equivalent) and SQL
- Solid foundation in statistics and machine learning, including model selection, validation, and experiment design
- Track record of taking analyses or models from exploration to something stakeholders actually use, and explaining results to non-technical audiences
- Advanced English, spoken and written, for daily collaboration with client stakeholders

Nice to Have Skills:

- Experience in e-commerce, retail, or manufacturing use cases such as demand forecasting, pricing, or customer analytics
- Experience deploying and monitoring models in production (MLOps) on a cloud platform such as AWS, GCP, or Azure
- Familiarity with modern data stack tools such as dbt, Snowflake, BigQuery, or Databricks
- Experience with BI and visualization tools such as Tableau, Looker, or Power BI
- Prior experience in a consulting or client-facing environment

Benefits:

- Flexible remote working environment.
- Career development opportunities in a fast-growing company.

🚀 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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