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HomeCompaniesKlarData Scientist - Germany

Data Scientist - Germany

Klar · Remote · Active · BambooHR

Job facts

FieldValue
CompanyKlar
TitleData Scientist - Germany
Normalized title-
Department / teamCredit
LocationBerlin, Berlin, Germany
Work modelRemote / Remote
Employment typeFull Time
Salary-
Statusactive
ATS providerBambooHR
Posted / first seen2026-06-03 / 2026-06-04
Changed / last seen2026-06-06 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Klar.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through BambooHR.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Berlin.Open
Department jobsActive postings in Credit.Open
Work model jobsActive Remote postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyKlar
Source95fd11c5-513b-42e6-ab74-be4a2eb8eab2
ATS providerBambooHR

Description

About KLAR Let's start with the basics! Klar is a Mexican fintech startup whose mission is to democratize and revolutionize the way in which financial services have been delivered so far in Mexico, especially since half of the population doesn't have a bank account. We offer a rich set of products across our debit and credit offers and the future is bright for Klar! We have an exciting and ambitious roadmap to bring more features to our products so that we can better serve our users. We have served more than 7 million users since our launch in 2019 — and we're just getting started. Most recently, we partnered with Uber to launch their first global credit card, right here in Mexico; a testament to the trust we've built with world-class partners and the strength of our infrastructure, team, and product. We are also proud to have been certified in 2023 as a "Great Place to Work" in Mexico — we've worked hard to make that happen and will continue to make bigger strides in the future! Sound like a place you’d like to be? Our people If you join us at Klar, you’ll be welcomed into a team which is rich in many talents and we are very proud! With our head office in Mexico City, and remote tech hubs in Berlin and Argentina, we are always learning something new about another culture or language. With so many people from different backgrounds and walks of life (parents, LGBTQ+, neurodivergence), you’ll definitely find your people here! Our values Ownership - We own our successes & our failures as a team. Excellence - We do everything to the best of our ability & always seek to achieve a new level of excellence in our work. Inclusion - We believe we are stronger together and actively work to promote a safe, diverse, inclusive, and respectful culture. Customer Obsession - We understand the value Klar can bring to its customers & it’s always at the forefront of our decisions. Klarity - We communicate clearly & with authenticity. It’s in our name & it’s what we do. About the Role We are looking for an Individual Contributor to join our Credit Card team. In this role, you will play a key part in modernizing and improving our Machine Learning models; and collaborate with other team members to continuously explore the application of cutting edge technologies to credit risk. This is a full-time remote position operating on European time zones. We are open to candidates based in Germany or elsewhere within the EU, provided they can work effectively within EU business hours. What you can expect: Design, build, and optimize Machine Learning models powering origination, behavioral scoring, limit management, and early-warning systems Leverage alternative data sources including transaction behavior, merchant data, and device intelligence to improve predictive performance Evaluate and implement the infrastructure required to deploy, monitor, and retrain models at scale Explore the applications of novel architectures (transformers, foundational models, etc.) for credit risk and related tasks Collaborate with cross-functional teams to identify opportunities for data-driven insights and solutions Work with other members of the Credit Risk team to build credit policies across the full customer lifecycle: origination, limit management, restructuring, and write-offs A lot of autonomy and ownership: you will own at least one Machine Learning model end-to-end Communicate findings and insights to technical and non-technical stakeholders What we are looking for: Master's degree or above in Data Science, Computer Science, Statistics, Mathematics, or a related field 5+ years of experience in Data Science, Machine Learning, or a related field Strong proficiency in Python and SQL Experience with Machine Learning libraries such as Scikit-Learn, XGBoost, TensorFlow, Keras, and Pytorch Experience owning models or analytical systems end to end, including performance monitoring, retraining, documentation, and stakeholder alignment Comfort using AI coding assistants, such as Claude Code and Codex, to improve productivity Proficiency in data analysis, visualization, and manipulation tools such as Pandas, Matplotlib, and Seaborn Optional, but a plus: Experience with credit risk, fraud, underwriting, lending, financial services, or another regulated decisioning domain Experience with dbt (Data Build Tool) to transform SQL data Experience working with novel, transformer-based architectures Strong problem-solving skills and the ability to think creatively Ability to communicate model tradeoffs, risk implications, and business impact to technical and non-technical stakeholders Our offer to you Competitive salary based on performance and experience Chance of earning Klar stock options 26 days of paid vacation per year Computer devices Wellhub subscription to offer mental and physical health Sponsored coaching and therapy sessions via Modern Health Training budget to upskill your learning Health insurance & Pension scheme BVG Corporate ticket Berlin office if you prefer to work onsite International work environment with amazing and highly skilled people A world class team that helps you evolve your skills in areas you're interested in Klar is a safe place for everyone! We trust our highly skilled and diverse team and we’re committed to creating a welcoming and inclusive environment for new talents to flourish. We value diversity and welcome all applications regardless of gender, nationality, ethnic and social origin, religion/belief, physical abilities, age, sexual orientation and identity. Should you require any accommodations through the recruitment process, please don’t hesitate to let us know how we can help!

Full job record

Job ID0b3cdc9eae43f362fb4fb0e69ffbc82cc5428f3e
Org IDb14e6e10-58ac-4b71-acd8-af50b859c847
Source ID95fd11c5-513b-42e6-ab74-be4a2eb8eab2
Board ID95fd11c5-513b-42e6-ab74-be4a2eb8eab2
Providerbamboohr
Provider Job Key370
TitleData Scientist - Germany
Normalized Title
Statusactive
Activeyes
Location Text
DepartmentCredit
Team
Employment Typefull_time
Workplace Typeremote
Remote Policyremote
CountryGermany
RegionBerlin
CityBerlin
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://klar.bamboohr.com/careers/370
Apply URLhttps://klar.bamboohr.com/careers/370
First Seen At2026-06-04 11:41:43Z
Last Seen At2026-06-06 10:22:30Z
Last Checked At2026-06-06 10:22:30Z
Last Changed At2026-06-06 10:22:30Z
Inactive At
Source Posted At2026-06-03 00:00:00Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=bamboohr/board=klar/date=2026-06-06/2026-06-06T10-22-27-472Z-4a60beb1a4dbc7909ae3b2ef90985a7d3561a3a239149782ae6b717f948969f9.json
Event Fields
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  "last_changed_at": "2026-06-06T10:22:30.000Z",
  "active_status": "active"
}
Parsed Structured
{
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    "city": "Berlin",
    "region": "Berlin",
    "country": "Germany",
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    "confidence": 0.8
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  "remote_policy": "remote",
  "salary_period": null,
  "workplace_type": "remote",
  "salary_currency": null
}
Extensions
{}
Native Structured
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    "departmentLabel": "Credit",
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    "description": "<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\"><span style=\"font-weight: bold\"><span style=\"color: rgb(72, 65, 63)\">About KLAR</span></span></span><br></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Let's start with the basics! Klar is a Mexican fintech startup whose mission is to democratize and revolutionize the way in which financial services have been delivered so far in Mexico, especially since half of the population doesn't have a bank account. We offer a rich set of products across our debit and credit offers and the future is bright for Klar!</span></p>\n<p><br></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">We have an exciting and ambitious roadmap to bring more features to our products so that we can better serve our users. We have served more than 7 million users since our launch in 2019 — and we're just getting started.</span></p>\n<p><br></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Most recently, we partnered with Uber to launch their first global credit card, right here in Mexico; a testament to the trust we've built with world-class partners and the strength of our infrastructure, team, and product.</span></p>\n<p><br></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">We are also proud to have been certified in 2023 as a \"Great Place to Work\" in Mexico — we've worked hard to make that happen and will continue to make bigger strides in the future! Sound like a place you’d like to be?</span></p>\n<p><br></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\"><span style=\"font-weight: bold\"><span style=\"color: rgb(72, 65, 63)\">Our people</span></span><span style=\"font-weight: bold\"><br></span></span></p>\n<p><span style=\"color: rgb(72, 65, 63); font-family: arial, helvetica, sans-serif; font-size: 12pt\">If you join us at Klar, you’ll be welcomed into a team which is rich in many talents and we are very proud! With our head office in Mexico City, and remote tech hubs in Berlin and Argentina, we are always learning something new about another culture or language. With so many people from different backgrounds and walks of life (parents, LGBTQ+, neurodivergence), you’ll definitely find your people here! </span></p>\n<p><br></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt; font-weight: bold\"><span style=\"color: rgb(72, 65, 63)\">Our values </span></span></p>\n<ul>\n<li><span style=\"color: rgb(72, 65, 63); font-family: arial, helvetica, sans-serif; font-size: 12pt\"><span style=\"font-weight: bold\">Ownership </span>- We own our successes &amp; our failures as a team.</span></li>\n<li><span style=\"color: rgb(72, 65, 63); font-family: arial, helvetica, sans-serif; font-size: 12pt\"><span style=\"font-weight: bold\">Excellence</span> - We do everything to the best of our ability &amp; always seek to achieve a new level of excellence in our work.</span></li>\n<li><span style=\"color: rgb(72, 65, 63); font-family: arial, helvetica, sans-serif; font-size: 12pt\"><span style=\"font-weight: bold\">Inclusion</span> - We believe we are stronger together and actively work to promote a safe, diverse, inclusive, and respectful culture.</span></li>\n<li><span style=\"color: rgb(72, 65, 63); font-family: arial, helvetica, sans-serif; font-size: 12pt\"><span style=\"font-weight: bold\">Customer Obsession</span> - We understand the value Klar can bring to its customers &amp; it’s always at the forefront of our decisions.</span></li>\n<li><span style=\"color: rgb(72, 65, 63); font-family: arial, helvetica, sans-serif; font-size: 12pt\"><span style=\"font-weight: bold\">Klarity</span> - We communicate clearly &amp; with authenticity. It’s in our name &amp; it’s what we do.</span></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt; font-weight: bold\">About the Role</span><br></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">We are looking for an Individual Contributor to join our Credit Card team. In this role, you will play a key part in modernizing and improving our Machine Learning models; and collaborate with other team members to continuously explore the application of cutting edge technologies to credit risk. This is a full-time remote position operating on European time zones. We are open to candidates based in Germany or elsewhere within the EU, provided they can work effectively within EU business hours. </span></p>\n<p><br></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt; font-weight: bold\">What you can expect: </span></p>\n<ul>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Design, build, and optimize Machine Learning models powering origination, behavioral scoring, limit management, and early-warning systems</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Leverage alternative data sources including transaction behavior, merchant data, and device intelligence to improve predictive performance</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Evaluate and implement the infrastructure required to deploy, monitor, and retrain models at scale</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Explore the applications of novel architectures (transformers, foundational models, etc.) for credit risk and related tasks</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Collaborate with cross-functional teams to identify opportunities for data-driven insights and solutions</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Work with other members of the Credit Risk team to build credit policies across the full customer lifecycle: origination, limit management, restructuring, and write-offs</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">A lot of autonomy and ownership: you will own at least one Machine Learning model end-to-end</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Communicate findings and insights to technical and non-technical stakeholders</span></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt; font-weight: bold\">What we are looking for:</span></p>\n<ul>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Master's degree or above in Data Science, Computer Science, Statistics, Mathematics, or a related field</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">5+ years of experience in Data Science, Machine Learning, or a related field</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Strong proficiency in Python and SQL</span>\n<ul>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Experience with Machine Learning libraries such as Scikit-Learn, XGBoost, TensorFlow, Keras, and Pytorch</span></li>\n</ul>\n</li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Experience owning models or analytical systems end to end, including performance monitoring, retraining, documentation, and stakeholder alignment</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Comfort using AI coding assistants, such as Claude Code and Codex, to improve productivity</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Proficiency in data analysis, visualization, and manipulation tools such as Pandas, Matplotlib, and Seaborn</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Optional, but a plus:</span>\n<ul>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Experience with credit risk, fraud, underwriting, lending, financial services, or another regulated decisioning domain</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Experience with dbt (Data Build Tool) to transform SQL data</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Experience working with novel, transformer-based architectures</span></li>\n</ul>\n</li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Strong problem-solving skills and the ability to think creatively</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Ability to communicate model tradeoffs, risk implications, and business impact to technical and non-technical stakeholders</span></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt; font-weight: bold\"><span style=\"color: rgb(72, 65, 63)\">Our offer to you</span></span></p>\n<ul>\n<li><span style=\"color: rgb(72, 65, 63); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Competitive salary based on performance and experience</span></li>\n<li><span style=\"color: rgb(72, 65, 63); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Chance of earning Klar stock options</span></li>\n<li><span style=\"color: rgb(72, 65, 63); font-family: arial, helvetica, sans-serif; font-size: 12pt\">26 days of paid vacation per year</span></li>\n<li><span style=\"color: rgb(72, 65, 63); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Computer devices</span></li>\n<li><span style=\"color: rgb(72, 65, 63); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Wellhub subscription to offer mental and physical health</span></li>\n<li><span style=\"color: rgb(72, 65, 63); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Sponsored coaching and therapy sessions via Modern Health</span></li>\n<li><span style=\"color: rgb(72, 65, 63); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Training budget to upskill your learning</span></li>\n<li><span style=\"color: rgb(72, 65, 63); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Health insurance &amp; Pension scheme</span></li>\n<li><span style=\"color: rgb(72, 65, 63); font-family: arial, helvetica, sans-serif; font-size: 12pt\">BVG Corporate ticket</span></li>\n<li><span style=\"color: rgb(72, 65, 63); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Berlin office if you prefer to work onsite</span></li>\n<li><span style=\"color: rgb(72, 65, 63); font-family: arial, helvetica, sans-serif; font-size: 12pt\">International work environment with amazing and highly skilled people</span></li>\n<li><span style=\"color: rgb(72, 65, 63); font-family: arial, helvetica, sans-serif; font-size: 12pt\">A world class team that helps you evolve your skills in areas you're interested in</span></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt; font-weight: bold\"><em><span style=\"color: rgb(72, 65, 63)\">Klar is a safe place for everyone!</span></em></span></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\"><em><span style=\"color: rgb(72, 65, 63)\">We trust our highly skilled and diverse team and we’re committed to creating a welcoming and inclusive environment for new talents to flourish. We value diversity and welcome all applications regardless of gender, nationality, ethnic and social origin, religion/belief, physical abilities, age, sexual orientation and identity.</span></em></span></p>\n<p><br></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\"><em>Should you require any accommodations through the recruitment process, please don’t hesitate to let us know how we can help!</em></span></p>",
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    "jobCategoryId": null,
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    "departmentLabel": "Credit",
    "jobOpeningStatus": "Open",
    "minimumExperience": "Experienced",
    "jobOpeningShareUrl": "https://klar.bamboohr.com/careers/370",
    "employmentStatusLabel": "Full-Time"
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}
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