Match score not available

Unlock Premium Benefits Today!
🚀 Elevate your career with priority access.
Stand out to top recruiters with Jobgether Priority Access:
  • ✅ Top Match: We help you identify job offers where you're a perfect fit.
  • ✅ Exclusive Referral Service: Connect directly with recruiters as a Jobgether Certified Premium User.
  • ✅ Personalized Feedback: Receive feedback and expert guidance on applications, and have your profile manually reviewed.

Start Your Free Trial Now!

Start my free trial

Data Science Associate

Remote: 
Full Remote
Work from: 
Latin America

Offer summary

Qualifications:

Proficiency in SQL, Python, and Git., Experience with machine learning frameworks., Familiarity with AWS and Databricks., Understanding of data science best practices..

Key responsabilities:

  • Build and maintain machine learning models.
  • Conduct data analysis to support business decisions.
Clara logo
Clara Fintech: Finance + Technology Scaleup https://www.clara.com/
201 - 500 Employees
About Clara
Clara is the leading spend management platform for companies in Latin America. Our end-to-end solution includes our locally-issued corporate cards, Bill Pay, financing solutions, and our highly-rated software platform used by thousands of the most successful companies across the region. Clara is backed by top global and regional investors such as Coatue, DST Global, General Catalyst, monashees, Kaszek, Canary, A*, BoxGroup, SV Angel, GFC, Picus Capital, Avid Ventures, ICONIQ Growth, Goldman Sachs, and prominent angel investors. Driven by our six core values (Ownership, Pride, ABC, Simplicity, Clarity and Inclusivity) we’ve reached a unicorn valuation in record time, have been recognized as a Great Place to Work and as one of the most promising startups according to Linkedin’s ranking “Top Startups 2021”. We’re looking for the best talent worldwide to join our team and be part of this journey, so you can't afford to miss this chance! We are: * Shaping business finances in Latin America * Driven by our 6 core values * Proud of our inclusive and caring culture * Certified as a Great Place to Work and a Top LinkedIn Startup
See more Clara offers

Job description

Clara is the leading spend management platform for companies in Latin America. Our end-to-end solution includes our locally-issued corporate cards, a Bill Pay product, financing solutions, and our highly-rated software platform; already being used by thousands of the most successful companies across the region.

Clara is backed by top global and regional investors such as GGV Capital, Coatue, DST Global Partners, General Catalyst, monashees, Acrew Capital, Kaszek, Citius, Canary, Citi Ventures, Picus Capital, Avid Ventures, ICONIQ Growth, Endeavor Catalyst, Goldman Sachs, Accial Capital, and prominent angel investors.

We are looking for someone who will:

  • Build, integrate and maintain machine learning models in a development environment
  • High level of business understanding to tackle any problem with the best possible approach
  • Create simple but very informative visualizations to explain your work for a broad audience
  • Identify data requirements and needs along with the data engineering team
  • Be able to collaborate with teams remotely, not only locally
  • Conduct data analysis to support business decisions.
  • Collaborate with data engineers to ensure data availability.
  • Collaborate with our data engineering team to implement solutions to meet the company’s goals
  • Document your work to have a solid foundation of it for new team members or future references
Requirements:
  • Proficiency in SQL, Python, and Git.
  • Experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow).
  • Experience with object-oriented programming (OOP).
  • Familiarity with AWS and Databricks.
  • Understanding of data science best practices.
  • Ability to say 'I don't know' and willingness to research and find solutions.
  • Good english level. 
Preferred Qualifications:
  • Country-Specific Market Knowledge: Knowledge of the product market in Mexico, Colombia, and Brazil, including user behavior and regulatory environments.
  • Experience with Corporate Bill Pay and Spend Management: Familiarity with corporate bill pay, credit card, and spend management products.
  • Mobile and Web Analytics: Proficiency in analyzing data from both mobile and web platforms, understanding user behaviors, and optimizing the user experience.
  • Data Visualization Tools: Experience with data visualization tools such as Metabase, QuickSight, and Databricks.
  • Programming Skills: Proficiency in SQL, Python, and/or R for data analysis and modeling.
  • A/B Testing and Experimentation: Experience designing and analyzing A/B tests to drive product decisions.
  • User Research and Feedback Analysis: Ability to incorporate user research and feedback into data analysis to improve product offerings.
  • Regulatory Compliance: Understanding of regulatory requirements and compliance standards in the financial sector, especially those relevant to Latin America.

#LI-Remote

The way we do things is as important as what we do. That is why we operate on a set of carefully-identified values. They are what we expect from ourselves and each other in our day-to-day.
 
We value
* Clarity - Open and direct communication
* Simplicity - Pare things down to the essential
* Ownership - We're all owners and act like it
* Pride - Make quality products we're proud of
* Always Be Changing (ABC) - Continuous self-improvement
* Inclusivity - Every voice counts; we value each other for our shared mission and contributions
 
We are
* Shaping business finances in Latin America
* Driven by our 6 core values
* Proud of our inclusive and caring culture
* Certified as Top LinkedIn Startup
 
We offer
* Competitive salary & a robust stock ownership plan
* 100% flexible work model
* A set of benefits that are adaptable to your needs & way of life
* Opportunities for growth in a fast-paced environment
* A chance to shape B2B payments in Latin America and increase the region’s economic competitiveness

Required profile

Experience

Industry :
Fintech: Finance + Technology
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Hard Skills

Data VisualizationPython (Programming Language)SQL (Programming Language)Machine LearningObject-Oriented Programming (OOP)DatabricksGit (Version Control System)TensorFlowAmazon Web ServicesData StrategyScikit-Learn (Python Package)R (Programming Language)Corporate Accounts PayableSpend ManagementMarket IntelligenceA/B TestingWeb AnalyticsRegulatory ComplianceGoogle AnalyticsData VisualizationUser Research

Other Skills

  • Collaboration
  • Communication
  • Problem Solving
Are you interested?

Data Scientist Related jobs

See more Data Scientist jobs
Sign in or sign up with Google or LinkedIn