Data Science Engineer

ONLY US Citizens or GC holders We are seeking a skilled and driven Senior Data Scientist, responsible for delivery of modern machine learning pipelines and models within Databricks. The ideal candidate will have a strong technical background in machine learning and data engineering, and a deep understanding of the B2B payments industry or payments and account fraud detection solutions. This combination of technical and business domain experience will allow the Senior Data Scientist to ideate and deliver outcomes that increase the speed of decision-making, leverage ML to improve business operations workflows and develop new product offerings. Key Responsibilities: • Manage and maintain machine learning pipelines and models within Databricks, including responsibilities that cover research-through-deployment (i.e., feature engineering, containerization, orchestration, model monitoring/validation) • Identify new areas of opportunity for the company and prototype solutions; conduct basic market research and find external data sources to validate these ideas • Build internal tools (AI-enabled solutions) that help the business team make data-driven decisions and/or automate manual processes • Contribute to existing internal and external machine learning-based products via researching new methodologies, creating new measurement/validation techniques, etc. to increase efficacy and business outcomes • Work with external data vendors to integrate and leverage data for model enhancement • Present key findings and insights to stakeholders in a clear and concise manner • Prioritize and manage multiple projects and development activities independently • Contribute to the team’s knowledge base and guide junior team members as needed Qualifications • Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field • 5-10+ years of experience in a data-oriented environment (analysis, engineering, science, strategy) • Extensive experience with machine learning in a production environment, particularly using Databricks • Proven experience in the B2B payments industry or in similar areas pertaining to payments and account fraud detection • Strong technical skills in data engineering and machine learning, including a high degree of proficiency in SQL and Python • Experience working with external data vendors. • Familiarity with a wide range of machine learning techniques, both supervised and unsupervised, and experience with frameworks such as scikit-learn, TensorFlow, or PyTorch • Proficiency in data visualization tools (e.g., Matplotlib, Seaborn, Power BI) to effectively communicate findings • Familiarity with SaaS business model/metrics and/or previous experience in FinTech