Home › Companies › Konfio › Mid Data Scientist
Mid Data Scientist
Konfio · CDMX, Miguel Hidalgo, 11560, Mexico · Active · BambooHR
Job facts
| Field | Value |
|---|---|
| Company | Konfio |
| Title | Mid Data Scientist |
| Normalized title | - |
| Department / team | Credit |
| Location | CDMX, Miguel Hidalgo |
| Work model | - |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | BambooHR |
| Posted / first seen | 2025-12-04 / 2026-05-30 |
| Changed / last seen | 2026-05-30 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Konfio. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through BambooHR. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in CDMX. | Open |
| Department jobs | Active postings in Credit. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Konfio |
| Source | 5bdc4712-79c0-4812-892d-27d41ce5aec2 |
| ATS provider | BambooHR |
Description
Join the Fintech revolution and build the future of finance in Mexico!
Who are we?
We are the leading financial technology company in Mexico, empowering more than 70,000 clients to achieve their dreams. Our mission is to empower the country's small and medium-sized enterprises with innovative solutions (financing, credit card and payments) to overcome their challenges and turn them into the engines of economic growth. We aspire to be the ideal ally of entrepreneurs, contributing to the development of the community, the country and the planet.
Your Mission, Should You Choose to Accept It:
The primary goal of the Data Scientist in Risk Management is to develop, implement, and maintain machine learning models and algorithms to enhance underwriting processes and customer management strategies. This role involves continuous improvement and experimentation with models. This role involves working closely with the Lead or Manager Data Scientist, as the middle position is not completely independent and requires assistance and guidance.
Model Development and Implementation: Design, develop, and implement machine learning models and algorithms for underwriting and customer management.
Model improvement: Conduct experiments to enhance existing models, ensuring their accuracy and reliability through rigorous testing, validation, and benchmarking.
Analytics and Communication: Apply advanced analytical methodologies to solve complex business challenges, presenting insights through charts and graphs, and communicating findings to non-technical stakeholders.
What We're Looking For:
Basic qualification: Degree in a quantitative discipline (e.g., Actuary, Mathematics, Physics, Statistics, Computer Science, or related field).
Proven experience in Data Science (at least 2 years).
Knowledge and experience with Machine Learning models. Knowledge of SQL. Experience in production programming in Python and Pandas library. AWS SageMaker
Statistics fundamentals: most common distributions, generalized linear models, hierarchical models (desirable), A/B testing, bootstrap, experiment design, simulation.
Advanced english (must).
What We Offer:
A dynamic and collaborative work environment where you can develop your full potential.
Opportunities to learn and grow professionally using cutting-edge technologies.
A passionate and talented team with whom you can share knowledge and experiences.
A competitive compensation package and attractive benefits.
The opportunity to positively impact the lives of thousands of people and contribute to the development of the country.
Full job record
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| Org ID | 2684e102-8a62-4b2c-98d2-b9e8256665e5 |
| Source ID | 5bdc4712-79c0-4812-892d-27d41ce5aec2 |
| Board ID | 5bdc4712-79c0-4812-892d-27d41ce5aec2 |
| Provider | bamboohr |
| Provider Job Key | 1144 |
| Title | Mid Data Scientist |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | CDMX, Miguel Hidalgo, 11560, Mexico |
| Department | Credit |
| Team | — |
| Employment Type | full_time |
| Workplace Type | — |
| Remote Policy | — |
| Country | — |
| Region | Miguel Hidalgo |
| City | CDMX |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://konfio.bamboohr.com/careers/1144 |
| Apply URL | https://konfio.bamboohr.com/careers/1144 |
| First Seen At | 2026-05-30 05:51:43Z |
| Last Seen At | 2026-06-06 10:28:16Z |
| Last Checked At | 2026-06-06 10:28:16Z |
| Last Changed At | 2026-05-30 05:51:43Z |
| Inactive At | — |
| Source Posted At | 2025-12-04 00:00:00Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=bamboohr/board=konfio/date=2026-06-06/2026-06-06T10-28-13-571Z-6d98ed2b1d3a762decc45579c049453f6875a9ae6a8f628b1dcfa85221388cb6.json |
Event Fields
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"description": "<p><span style=\"font-weight: bold\">Join the Fintech revolution and build the future of finance in Mexico!</span></p>\n<p><br><span style=\"font-weight: bold\">Who are we?<br></span></p>\n<p>We are the leading financial technology company in Mexico, empowering more than 70,000 clients to achieve their dreams. Our mission is to empower the country's small and medium-sized enterprises with innovative solutions (financing, credit card and payments) to overcome their challenges and turn them into the engines of economic growth. We aspire to be the ideal ally of entrepreneurs, contributing to the development of the community, the country and the planet.<br><br></p>\n<p><span style=\"font-weight: bold\">Your Mission, Should You Choose to Accept It:</span></p>\n<p>The primary goal of the Data Scientist in Risk Management is to develop, implement, and maintain machine learning models and algorithms to enhance underwriting processes and customer management strategies. This role involves continuous improvement and experimentation with models. This role involves working closely with the Lead or Manager Data Scientist, as the middle position is not completely independent and requires assistance and guidance.</p>\n<ul>\n<li><span style=\"font-weight: bold\">Model Development and Implementation:</span> Design, develop, and implement machine learning models and algorithms for underwriting and customer management.</li>\n<li><span style=\"font-weight: bold\">Model improvement: </span>Conduct experiments to enhance existing models, ensuring their accuracy and reliability through rigorous testing, validation, and benchmarking.</li>\n<li><span style=\"font-weight: bold\">Analytics and Communication:</span> Apply advanced analytical methodologies to solve complex business challenges, presenting insights through charts and graphs, and communicating findings to non-technical stakeholders.</li>\n</ul>\n<p><br></p>\n<p><span style=\"font-weight: bold\">What We're Looking For:<br></span></p>\n<ul>\n<li>Basic qualification: Degree in a quantitative discipline (e.g., Actuary, Mathematics, Physics, Statistics, Computer Science, or related field).</li>\n<li>Proven experience in Data Science (at least 2 years).</li>\n<li>Knowledge and experience with Machine Learning models. Knowledge of SQL. Experience in production programming in Python and Pandas library. AWS SageMaker</li>\n<li>Statistics fundamentals: most common distributions, generalized linear models, hierarchical models (desirable), A/B testing, bootstrap, experiment design, simulation.</li>\n<li>Advanced english (must).</li>\n</ul>\n<p><br></p>\n<p><span style=\"font-weight: bold\">What We Offer:</span></p>\n<ul>\n<li>A dynamic and collaborative work environment where you can develop your full potential.</li>\n<li>Opportunities to learn and grow professionally using cutting-edge technologies.</li>\n<li>A passionate and talented team with whom you can share knowledge and experiences.</li>\n<li>A competitive compensation package and attractive benefits.</li>\n<li>The opportunity to positively impact the lives of thousands of people and contribute to the development of the country.</li>\n</ul>",
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