<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> <p>We're hiring on behalf of a Haystack partner!</p><p><br/></p><p>The Role</p><p>• Participate in the entire modeling process, from data cleaning and feature engineering to model training and evaluation for risk and fraud detection.</p><p>• Anticipate potential issues in the model-building process and suggest strategies to mitigate pitfalls.</p><p>• Engage in coding and code reviews to ensure quality and efficiency for machine learning models.</p><p>• Collaborate within a cross-functional team to drive innovation and effectiveness in payment products.</p><p>• Analyze data from past customers to determine acceptance and decline decisions for transactions.</p><p><br/></p><p>What You'll Need</p><p>• Bachelor's, Master's, or Ph.D. in a STEM field (e.g., Computer Science, Mathematics, Statistics, Engineering, or related disciplines).</p><p>• Experience working with transactional databases or case handling systems.</p><p>• Proficiency in Python for data science applications, including experience writing production-ready code.</p><p>• Knowledge of SQL, relational databases, Spark, Databricks, VS Code, and Docker.</p><p>• Hands-on experience deploying machine learning models into production environments.</p><p>• Ability to work with unstructured data and familiarity with common Python data science frameworks.</p><p><br/></p><p>What's On Offer</p><p>• Competitive salary.</p><p>• Flexible working arrangements combining on-site teamwork and remote work.</p><p>• Opportunities for professional development and customized growth plans.</p><p>• Access to employee benefits and discounts, sports, and leisure activities.</p><p><br/></p><p>Apply via Haystack today!</p> </div>