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Welcome to Chargeflow Chargeflow is at the forefront of fintech + AI innovation, backed by leading venture capital firms. Our mission is to build a fraud-free global commerce ecosystem by leveraging the newest technology, freeing online businesses to focus on their core ideas and growth. We are building the future, and we need you to help shape it. Who We're Looking For - The Dream Maker We're in search of an experienced and skilled Senior Data Engineer to join our growing data team. As part of our data team, you'll be at the forefront of crafting a groundbreaking solution that leverages cutting-edge technology to combat fraud. The ideal candidate will have a strong background in designing and implementing large-scale data solutions, with the potential to grow into a leadership role. This position requires a deep understanding of modern data architectures, cloud technologies, and the ability to drive technical initiatives that align with business objectives. Our ultimate goal is to equip our clients with resilient safeguards against chargebacks, empowering them to safeguard their revenue and optimize their profitability. Join us on this thrilling mission to redefine the battle against fraud. Your Arena
* Design, develop, and maintain scalable, robust data pipelines and ETL processes
* Architect and implement complex data models across various storage solutions
* Collaborate with R&D teams, data scientists, analysts, and other stakeholders to understand data requirements and deliver high-quality solutions
* Ensure data quality, consistency, security, and compliance across all data systems
* Play a key role in defining and implementing data strategies that drive business value
* Contribute to the continuous improvement of our data architecture and processes
* Champion and implement data engineering best practices across the R&D organization, serving as a technical expert and go-to resource for data-related questions and challenges
* Participate in and sometimes lead code reviews to maintain high coding standards
* Troubleshoot and resolve complex data-related issues in production environments
* Evaluate and recommend new technologies and methodologies to improve our data infrastructure

?? Senior data Scientist
Join a team building ML-driven products that outperform the investment market
Were looking for an experienced Senior data Scientist to join a strong data Science team and make a real impact by designing and deploying advanced Machine Learning solutions in a production environment.
What Youll Do
Design, research, develop, and implement predictive ML models for complex business problems
Serve as a focal point for classical ML algorithms, LLM implementation, and statistical methodologies
Build and maintain scalable data pipelines and ML infrastructure
Collaborate closely with backend, data Engineering, DevOps, frontend teams, and investment portfolio managers
Stay up to date with advancements in MLOps, time-series prediction, and Gen-AI
Requirements
B.Sc. in Machine Learning, Computer Science, Software Engineering, Statistics, or a related field
5+ years of hands-on experience as a data Scientist in a startup environment
Proven experience with time-series prediction and tabular data, including ML model productization
Strong coding skills in Python and SQL (efficient, scalable ML code)
Experience deploying ML models to production (scalability, reliability, Real-Time processing)
Strong communication skills and ability to present actionable insights
Proactive, innovative, and independent mindset
Passion for continuous learning and adaptability
Preferred Qualifications
M.Sc. or Ph.D. in a quantitative field
Experience fine-tuning and deploying LLMs (Hugging Face, vLLM, SageMaker)
Experience with AWS, Airflow, Docker, Kubernetes, MLflow