> Markdown version of [/jobs/ext/630405-data-scientist-predict](https://www.wearedevelopers.com/jobs/ext/630405-data-scientist-predict). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist, Predict - **Company:** All Inc. - **Location:** New York, United States (Remote available) - **Experience:** Expert - **Salary:** $212,000.0 - $251,000.0 - **Contract:** Permanent contract - **Skills:** Fraud Prevention and Detection, Python (Programming Language), Machine Learning, Standard Sql, Supervised Learning, Scripting, Feature Engineering, Model Validation, Machine Learning Operations, Looker Analytics - **Published:** June 24, 2026 - **Apply:** https://www.dice.com/job-detail/8b188494-e0a2-4bca-bab8-222fae5f6098 ## About the Role * Always building with end-solution in mind. * Able to communicate complicated concepts to a non-technical audience without diluting the complexity of the work. * Able to build strong cross-functional relationships within Alloy. * Naturally curious with a knack for asking tough questions. * Solid understanding of core ML concepts such as supervised learning, feature engineering, and model evaluation. * A team player. You believe that big things happen when the right people are working together. * A fast learner * Humble. Mistakes happen and owning them helps us learn and move on quickly You have: * 8+ years as an individual contributor in Applied Fraud Research, Data Science, or Machine Learning with a proven track record in a "Solutions" or client-facing capacity. * Expertise in working with highly imbalanced datasets and building production-grade Machine Learning models with specific interest in tree-based models. * Advanced proficiency in scripting languages like Python and querying languages like SQL * Proven ability to wrangle and think thoughtfully about data at scale (processing billions of records). * Experience developing metrics and dashboards. * Able to communicate their findings effectively to technical and nontechnical members * Someone who embodies our shared Alloy values: be bold, get scrappy, collaborate, and celebrate our differences. * You have experience in a highly analytical role in fast-paced environments * Must be local to Greater New York City. Nice to Haves: * Previous experience in financial fraud detection. * Advanced Degree (Masters or PhD) in a quantitative field. * Experience managing the end-to-end lifecycle of a technical pilot or Proof of Concept. * Experience with BI tools like Looker. * Experience with modeling on graph structures. We're a lean team, so your impact will be felt immediately, and opportunities will grow as the company scales up. If this all sounds like a good fit for you, why not join us? ## Description The Predict team builds Alloy's real-time machine learning systems at scale. Our immediate focus is on fraud detection, where we believe machine learning can simplify and accelerate decision-making in ways traditional rule-based systems can't. Managing rules and policies to detect fraud is complex and constantly evolving; we use ML to make it smarter, faster, and more adaptive. Our approach is identity-centric, combining signals from a wide range of data sources to build a comprehensive understanding of risk. You will work on advancing our core models while also partnering directly with customers to drive strong outcomes from fraud studies. Alloy operates in a hybrid work environment. We look to foster collaboration and community by having our local employees onsite three days a week. What you'll be doing * Contribute to the design, training, and evaluation of machine learning models that power Alloy's fraud detection capabilities. * Develop testing plans, metrics, performance reports, and translate findings into actionable recommendations. * Support production ML workflows, including feature generation, model training, and monitoring, to ensure models remain accurate and reliable at scale. * Document findings and communicate insights to internal teams, contributing to shared learning and continuous improvement. * Maintain up-to-date model documentation and support Alloy's model governance processes to ensure transparency and compliance. * Stay current with industry trends in applied ML and fraud detection, and contribute to Alloy's mission of making financial services safer and more accessible. ## Related Videos - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [JavaScript? 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