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:
- 1+ years of experience as a Data ScientistProficiency 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:
- Experience with Corporate Bill Pay and Spend Management: Familiarity with corporate bill pay, credit card, and spend management products.
- 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.
- Regulatory Compliance: Understanding of regulatory requirements and compliance standards in the financial sector, especially those relevant to Latin America.
#LI-RemoteThe 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
