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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Scientist - New York (Hybrid) - Competitive Salary + Competitive Package + Opportunity to with a Series C Fintech Unicorn! - **Company:** ORBIS INC. - **Location:** New York, NY, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Big Data, Python (Programming Language), Machine Learning, Standard Sql, Strategies of Testing, Supervised Learning, Scripting, Feature Engineering, Model Validation, Looker Analytics - **Published:** August 15, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/pb8urjvfu8 ## About the Role * Constantly considering the final answer * Capable of explaining complex ideas to a non-technical audience * Capable of establishing solid cross-functional connections * Inherently interested and skilled at posing challenging queries * A strong grasp of fundamental machine learning concepts, including feature engineering, supervised learning, and model evaluation * A cooperative individual. You think that when the proper individuals collaborate, great things can happen. * Quick to pick things up * Be modest. Errors occur, and accepting responsibility for them enables us to grow and advance swiftly. Ideal Requirements for the Senior Data Scientist Vacancy: * Over 8 years of experience as an individual contributor in Applied Fraud Research, Data Science, or Machine Learning, demonstrating a successful history in a "Solutions" or client-oriented role * Proficient in handling highly imbalanced datasets and developing production-level Machine Learning models, particularly focused on tree-based models * Highly skilled in scripting languages such as Python and in querying languages such as SQL * Demonstrated capacity to manage and analyze large-scale data (handling billions of records) * Background in creating metrics and dashboards * Capable of conveying their results clearly to both technical and nontechnical individuals * A person who represents their values: take risks, be resourceful, work together, and appreciate our diversity * You possess experience in a role that requires strong analytical skills within dynamic settings * Should reside in the Greater New York City area Nice to Have: * Prior background in identifying financial fraud * Postgraduate qualification (Masters or PhD) in a quantitative discipline * Proficient in overseeing the complete lifecycle of a technical pilot or Proof of Concept * Familiarity with business intelligence tools such as Looker * Proficiency in working with graph structure modelling ## Description You will work on progressing our core Machine Learning models whilst also partnering directly with customers to drive relevant outcomes. What You Will Do: * Participate in the creation, development, and assessment of machine learning models * Create performance reports, metrics, and testing strategies, and convert results into practical suggestions. * To guarantee that models maintain accuracy and dependability at scale, support production machine learning activities, such as feature generation, model training, and monitoring. * To promote shared learning and ongoing development, record findings and share insights with internal teams. * To guarantee openness and compliance, keep model documentation current and assist model governance procedures. * Keep up with applicable machine learning industry trends. ## Related Videos - [How building an industry DBMS differs from building a research one](https://www.wearedevelopers.com/videos/768-how-building-an-industry-dbms-differs-from-building-a-research-one) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [JavaScript? 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