JobTarget Logo

Data Scientist - Forecasting & Optimization at Felix Technologies, Inc.

Felix Technologies, Inc.
Posted on
NewJob Function:Science
New job! Apply early to increase your chances of getting hired.

Explore Related Opportunities

About This Position

About Us
At Félix, we're building the financial ecosystem for Latin immigrants in the U.S., starting with a revolution in remittances. Our core product is an AI-powered chatbot built on WhatsApp, allowing our users to send money home as easily as sending a text message. We leverage cutting-edge technology like AI, blockchain, and stablecoins to make cross-border payments faster, more affordable, and more accessible than ever before.
We are a hyper-growth Series B company, backed by over $100 million in funding from top-tier global investors, including QED, Castle Island, Switch Ventures, HTwenty, Monashees, and General Catalyst Customer Value Fund. This isn't just about the numbers; it's a testament to the trust our investors have in our vision and our team. Additionally, the Félix founders were selected as “Endeavour Entrepreneurs” and were recipients of the CrossTech Fintech Startups Award. We are a group of extremely talented and dedicated high-performers, united by our shared obsession with a single goal: empowering our customers. We are all owners of Félix, driven by a bias for action and a true experimentation spirit to get shit done with urgency and focus.Joining Félix means you will be part of a team building a legacy, a company that will outlive us all. This is a rare opportunity to apply your skills to a deeply meaningful mission—serving a community that has been underserved for too long. We are a team that is fiercely loyal to each other, where radical transparency and constructive feedback are how we grow and push for excellence. We are bold, we care less about what others are doing, and more about creating sustainable value and a product that truly makes our users' lives better. We are building the future, today.
About The Role
We’re expanding our Data Science & Analytics team and are looking for a Data Scientist with a strong analytical foundation and business mindset to tackle high-impact problems across operations, pricing, and growth. This role sits at the intersection of data science and analytics, combining rigorous modeling with practical execution.You will play a key role in optimizing operator assignment, managing FX treasury strategies to improve margins, forecasting core KPIs, and guiding budget allocation decisions. Additionally, you will partner closely with the Growth team to design predictive segmentation and improve campaign performance.We’re looking for someone who is comfortable moving between structured analysis and predictive modeling, and who thrives in a fast-paced, high-ownership environment.

Responsibilities
  • Operational Optimization:
-Design and implement models to optimize operator assignment, balancing demand, capacity, and efficiency. -Identify patterns in operational data to improve service levels and reduce costs.FX Treasury & Margin Optimization -Analyze FX flows and pricing strategies to optimize margins. -Build models to support decision-making on spreads, pricing tiers, and risk management.
  • Forecasting & Planning
-Develop forecasts for key business KPIs (volume, revenue, retention, etc.). -Support budget allocation decisions using data-driven insights and scenario modeling.
  • Growth & Marketing Science
-Partner with Growth to design and implement predictive segmentation. -Build models to improve targeting, conversion, and campaign ROI. -Analyze experiment results and provide recommendations to scale winning strategies.
  • Analytics & Data Modeling
-Build and maintain robust SQL-based data models to support analysis and reporting. -Develop dashboards and tools to monitor performance and inform stakeholders.
  • Cross-functional Collaboration
-Work closely with Growth, Operations, Finance, and Product teams to define problems and deliver actionable insights. -Translate complex analyses into clear business recommendations

Requirements
Must-Haves:
  • 4+ years of experience in Data Science role.
  • Degree in Economics, Industrial Engineering, or a related quantitative field.
  • Strong SQL skills and experience working with large-scale datasets.
  • Solid foundation in forecasting, statistics, and data modeling.
  • Experience applying data to marketing or growth use cases (segmentation, experimentation, campaign optimization).
  • Strong analytical thinking with the ability to connect data insights to business impact.
  • Excellent communication skills in English — able to explain complex concepts to non-technical stakeholders.


Nice-to-Haves:
  • Experience with pricing, FX, or financial modeling.
  • Familiarity with experimentation frameworks and causal inference.
  • Experience with BI tools (Looker/Omni or similar).
  • Knowledge of Python or R for modeling and analysis.


What We Offer
  • Competitive salary
  • Initial stock options grant
  • Annual performance bonus
  • Health, dental, and vision plans
  • Remote work environment, although we have offices in Miami and México City and would love to work in hybrid model if you are up to it.
  • Continuous learning opportunities
  • Unlimited PTO
  • Paid parental leave
  • Empowering opportunities for growth in a dynamic entrepreneurial environment

Equal Opportunity Employer
At Félix, we are committed to providing equal employment opportunities to all qualified employees and applicants without regard to race, religion, nationality, sex, sexual orientation, gender identity, age, or disability. This policy applies to all terms and conditions of employment, including recruitment, hiring, placement, promotion, training, compensation, benefits, and termination.
Want to learn more about our privacy practices? Check out our Privacy Policy.

Frequently asked questions about this position

Continue to apply
Enter your email to continue. You’ll be redirected to the employer’s application.
By clicking Continue, you understand and agree to JobTarget's Terms of Use and Privacy Policy.