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Data Science Specialist

3 months ago

Upper Marlboro, Maryland, United States Clara Full time

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.


Responsibilities:

  • Design and implement advanced machine learning models.
  • Analyze large datasets to extract actionable insights.
  • Work with stakeholders to identify and solve business problems.

Requirements:

  • Strong proficiency in SQL, Python, and Git.
  • Extensive experience with machine learning frameworks and tools.
  • Proficient with AWS, Databricks, and data analysis tools.
  • Experience with machine learning algorithms (e.g., XGBoost, GMB CatBoost).
  • Experience with object-oriented programming (OOP).
  • Familiarity deploying models into production.
  • Ability to translate business needs into technical solutions.
  • Ability to say 'I don't know' and willingness to research and find solutions.

Non-negotiable Requirements:

  1. Product Data Experience: Candidates must have experience in product data roles, preferably in fintech or similar industries.
  2. Experience with Product Metrics: Strong understanding of product metrics and KPIs, including user engagement, retention, conversion rates, and customer lifetime value (CLTV).
  3. Familiarity with Reforge Principles: Understanding of product management principles and growth strategies as taught by Reforge or similar programs.
  4. Startups Experience: Experience working in high-speed startup environments, preferably those associated with Y Combinator (YC) or similar accelerators.

Preferred Qualifications:

  1. Country-Specific Market Knowledge: Knowledge of the product market in Mexico, Colombia, and Brazil, including user behavior and regulatory environments.
  2. Experience with Corporate Bill Pay and Spend Management: Familiarity with corporate bill pay, credit card, and spend management products.
  3. Mobile and Web Analytics: Proficiency in analyzing data from both mobile and web platforms, understanding user behaviors, and optimizing the user experience.
  4. Data Visualization Tools: Experience with data visualization tools such as Metabase, QuickSight, and Databricks.
  5. Programming Skills: Proficiency in SQL, Python, and/or R for data analysis and modeling.
  6. A/B Testing and Experimentation: Experience designing and analyzing A/B tests to drive product decisions.
  7. User Research and Feedback Analysis: Ability to incorporate user research and feedback into data analysis to improve product offerings.
  8. Regulatory Compliance: Understanding of regulatory requirements and compliance standards in the financial sector, especially those relevant to Latin America.

Additional Requirements for Product Data Roles:

  1. Collaboration with Product Managers: Ability to work closely with product managers to define, measure, and analyze product metrics.
  2. Agile and Lean Methodologies: Experience working in agile and lean environments to quickly adapt to changing product needs.
  3. Customer-Centric Mindset: Focus on understanding customer needs and behaviors to inform product development and improvements.
  4. Data Integrity and Quality: Strong emphasis on maintaining data integrity and quality, especially in user and transaction datasets.
  5. Communication Skills: Excellent communication skills to present data insights to non-technical stakeholders, including product and executive teams.
  6. Innovation and Problem-Solving: Innovative mindset with strong problem-solving skills to identify new opportunities for product improvement and growth.
  7. User Journey Mapping: Experience mapping user journeys and identifying key touchpoints and areas for improvement.
  8. Behavioral Analytics: Proficiency in behavioral analytics to understand how users interact with the product and identify opportunities for enhancement.

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