About the company
Appen is a leader in AI enablement for critical tasks such as model improvement, supervision, and evaluation. To do this we leverage our global crowd of over one million skilled contractors, speaking over 180 languages and dialects, representing 130 countries. In addition, we utilize the industry's most advanced AI-assisted data annotation platform to collect and label various types of data like images, text, speech, audio, and video. Our data is crucial for building and continuously improving the world's most innovative artificial intelligence systems and Appen is already trusted by the world's largest technology companies. Now with the explosion of interest in generative AI, Appen is helping leaders in automotive, financial services, retail, healthcare, and governments the confidence to deploy world-class AI products. At Appen, we are purpose driven. Our fundamental role in AI is to ensure all models are helpful, honest, and harmless, so we firmly believe in unlocking the power of AI to build a better world. We have a learn-it-all culture that values perspective, growth, and innovation. We are customer-obsessed, action-oriented, and celebrate winning together. At Appen, we are committed to creating an inclusive and diverse workplace. We are an equal opportunity employer that does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Job Summary
You Will
📍Establish subject-matter expertise in payment rails, focusing on cards (pre-paid, debit, credit, etc.) and bank rails (wire, ACH, direct deposit, etc.) 📍Influence product roadmaps and guide the Financial Operations (FinOps) team to navigate through product opportunities and problem ambiguities. 📍Build “soup to nuts” data products, taking raw eventing data from engineering teams and turning into actionable analyses and ML models. 📍Partner with Engineering and Operations leadership to drive a culture of data-driven financial impact. 📍Expand your influence in the Block Data Science community by developing and evangelizing data solutions to improve analytics insightfulness and actionability.
You Have
📍8+ years of related experience (data science, preferably in payment analytics, chargebacks, or related fields) with Bachelor's degree; or 6 years and a Master’s degree; or a PhD with 3 years experience; or equivalent experience 📍At least a bachelor's degree in a technical field such as Engineering, Physics, mathematics, computer science, etc. 📍Experience working on ambiguous problems with high business impact and resolving complex issues in innovative and efficient ways. 📍Expertise in hypothesis testing and causal inference. 📍A strong understanding and willingness to be hands-on in building data pipelines and architecture. 📍Ability to build strong relationships with cross-functional stakeholders, clearly communicating findings and influencing product designs. 📍Advanced proficiency with data, analytics, and visualization technologies (we use SQL, Looker, and Python).
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