---
title: 'Data Scientist at Agility IO'
canonical: 'https://feeny.ai/job/data-scientist-agility-io-latin-america-6xc1750dbs2a'
type: 'job'
last_seen: '2026-10-15'
---

# Data Scientist at Agility IO

- **Company:** Agility IO
- **Location:** Latin America
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-09-30
- **Last confirmed live:** 2026-10-15
- **Apply:** https://jobs.ashbyhq.com/agility.io/de537935-e1f7-468f-aeac-d4ee3260becf

## Job description

Company Overview AgilityIO is a software development firm that designs and builds custom applications for startups and Fortune 500 companies. We are a global team of over 400 developers, QA engineers, project managers, and UX/UI designers with offices in New York City and Vietnam. This is a flexible, contract-based role open to candidates in Latin America.

## About the Role

We are seeking a Data Scientist to evaluate AI-generated data analyses on real datasets, stress-test the reasoning behind them, and write the judgments that teach the next generation of models what rigorous data work looks like. The newest models can spin up a full analysis in minutes — load the data, pick a method, produce charts and a confident conclusion. Someone has to check whether the statistics actually hold up, and that's this role.

## Responsibilities

- Evaluate AI-built analyses on real datasets: the method choice, the assumptions, and whether the conclusion actually follows from the numbers
- Red-team the statistics to expose leakage, p-hacking, confounded comparisons, and confident nonsense before real users trust them
- Write the better analysis when the model falls short: sound methodology, honest uncertainty, clear takeaways
- Build, train, and evaluate machine learning models (classification, regression, clustering, forecasting), including feature engineering, cross-validation, and metric selection
- Document methodology, assumptions, and limitations so that work can be reviewed and reproduced
- Collaborate with engineers, product managers, and other team members, and turn open-ended questions into well-defined analytical problems

Required Qualifications

- Professional, academic, or serious independent experience doing real data analysis in industry or research
- Proficiency in Python and its data stack (pandas, NumPy, SciPy, scikit-learn, statsmodels, or equivalents) and in SQL
- Experience working in Jupyter or similar notebook environments
- Experience with data visualization tools and libraries (matplotlib, seaborn, Plotly, or BI tools such as Tableau or Power BI)
- Working knowledge of machine learning fundamentals: model selection, overfitting, evaluation metrics, and validation strategies
- Clear written and spoken English
- No degree required

## Preferred Qualifications

- Background as a Data Scientist, Data Analyst, or Analytics Engineer
- Experience reviewing, auditing, or red-teaming someone else's analysis or model output
- Familiarity with common pitfalls in applied statistics: p-hacking, leakage, confounding, multiple comparisons
- Familiarity with cloud platforms (AWS, GCP, or Azure), data warehouses (Snowflake, BigQuery, Redshift), and MLOps practices such as experiment tracking and model versioning
- Experience with Git and collaborative, version-controlled workflows
- Prior experience with AI/ML data annotation, evaluation, or model-training projects

## What We Look For

- Skepticism and curiosity: you ask whether a result is real before you ask whether it is exciting
- Honesty about uncertainty: you communicate what the data can and cannot support
- Strong written communication and attention to detail
- Self-direction: you are comfortable working independently and asynchronously in a remote environment

## What We Offer

- Competitive salary and performance-based bonuses
- Flexible remote work environment
- Professional growth opportunities and mentorship
- Engaging and collaborative team culture with cutting-edge projects

Ready to Make an Impact? If you're passionate about rigorous data work and want to help shape how the next generation of AI models reason about data, we'd love to hear from you — send your resume to careers@agilityio.com.

## About Agility IO

## Company Overview
- **One-liner**: AgilityIO is a global software product development firm that helps startups and Fortune 500 companies design, build, and scale digital products through dedicated senior engineering and UX teams.
- **Entity Type**: Private (no public funding rounds disclosed; revenue funded)
- **Headquarters**: New York, New York, United States
- **Founded**: 2011
- **Founders**: Founded by Silicon Valley and Wall Street veterans (individual names not publicly disclosed)

## Core Business
- Primary industry: Software Development / Digital Product Development
- Target customers: B2B – early-stage startups to Fortune 500 enterprises, particularly in FinTech, HealthTech, and consumer tech
- Mission statement: “Turning bold ideas into impactful digital products” with startup speed and enterprise strength

## Products & Services
- **Custom Software Development**: Full-cycle engineering of web, mobile, and backend systems using modern stacks (React, Node.js, AWS, Kubernetes, etc.). Engagements range from building MVPs to scaling complex platforms.
- **UX/UI Design**: Research-driven design, prototyping, and user testing to create intuitive digital experiences.
- **Dedicated Engineering Teams**: Nearshore teams in Vietnam, Latin America, and Singapore working as an extension of the client’s product organization on a weekly retainer basis.
- **Product Advisory**: Strategic consulting on product roadmaps, architecture decisions, and engineering best practices.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed
- **Key Financial Metric**: Annual revenue of approximately USD 4.0 million (latest available) [linkedin.com](https://linkedin.com/company/agility-io)
- **Notable Clients/Partners**: Partnered with 300+ companies, including 8 unicorns; publicly announced partnership with infinant (white-label Banking-as-a-Service fintech) in 2024 [linkedin.com](https://linkedin.com/company/agility-io)
- **Growth Signals**: 7.9% year-over-year headcount growth (124 employees); expanded nearshore presence in Latin America; SOC 2 Type II compliance achieved [agilityio.com](https://agilityio.com)

## Competitive Advantages
- **Senior-Only Talent Model**: Engineers are pre-vetted and continuously trained, ensuring a high bar of quality. No junior or offshore “body shop” approach.
- **Nearshore Flexibility**: 24/7 development cycles via teams in Vietnam, Latin America, and Singapore, with no long-term contracts.
- **Product-Oriented Partnership**: AgilityIO provides advisory on product and engineering strategy, not just pure execution.
- **Security & Compliance**: SOC 2 Type II certified, enabling work in regulated industries (FinTech, HealthTech) [agilityio.com](https://agilityio.com).

## Strategic Focus
- Deepening nearshore capabilities in Latin America while maintaining Vietnam delivery hub
- Targeting FinTech and HealthTech verticals where domain expertise and compliance are key
- Expanding product advisory services to help clients move from idea to scale efficiently

## Why Work Here
- **Culture & Ratings**: Employer rating of 4.7/5 (Work-Life 5.0, Compensation 4.9, Culture 4.6, Career 4.7) [linkedin.com](https://linkedin.com/company/agility-io)
- **Flexibility**: Remote-friendly (many roles require LATAM time zones); physical offices in New York, Vietnam, Singapore, Brazil, and Peru
- **Global Projects**: Work on cutting-edge products for top startups and Fortune 500 clients; exposure to diverse tech stacks (React, GraphQL, AWS, Kubernetes, etc.)
- **Growth & Learning**: The company emphasizes continuous learning and “always leveling up”; internal mobility and training opportunities
- **Perks & Values**: Core values include “Own It, Deliver It” and “Stronger Together”; supportive environment with work-life balance

## Sources
1. [agilityio.com](https://agilityio.com) – Company website, services, security, values
2. [jobs.ashbyhq.com/agility.io](https://jobs.ashbyhq.com/agility.io) – Current job openings (e.g., Senior Full-Stack Engineer)
3. [linkedin.com/company/agility-io](https://linkedin.com/company/agility-io) – Company details, revenue, headcount, employee sentiment, growth trends
4. [agilityio.com/join-our-team](https://www.agilityio.com/join-our-team) – Careers page, hiring process, core values
5. [builtin.com/company/agilityio](https://builtin.com/company/agilityio) – Profile on Built In NYC, headquarters location, founding year

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