Data Scientist

• Build, validate, and implement machine learning and predictive analytics solutions that address business needs within banking, payments, or financial services use cases.
• Prepare and refine large, complex datasets by performing data cleaning, transformation, and feature development to improve model performance and reliability.
• Develop analytical models using statistical and machine learning techniques such as classification, clustering, ensemble methods, and other predictive approaches.
• Work with big data tools and distributed processing frameworks to analyze high-volume datasets efficiently and support scalable model development.
• Create dashboards, visual reports, and data stories that communicate findings and recommendations to both technical teams and business stakeholders.
• Use Databricks capabilities such as collaborative notebooks, experiment tracking, model management, and automated workflows to support end-to-end model development.
• Design proof-of-concept initiatives that explore new opportunities, assess business value, and guide the expansion of successful solutions into broader use.
• Apply natural language processing methods where appropriate to extract insight from unstructured information and solve business problems.

• Partner with cross-functional teams to deploy, monitor, and maintain production-ready models in alignment with governance and operational expectations. Requirements - Master’s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, or another quantitative field.
• At least 5 years of experience delivering end-to-end data science or machine learning solutions in payments, banking, or financial services settings.
• Strong programming skills in Python and experience working with technologies such as Spark, PySpark, R, Hadoop, Kafka, and ETL processes.
• Hands-on experience with data manipulation and model development tools, including Pandas, NumPy, Scikit-learn, Plotly, Matplotlib, and Seaborn.
• Advanced ability to build visual analytics and business intelligence outputs using platforms such as Tableau.
• Practical experience with Databricks, including MLflow, AutoML, Model Registry, notebook-based collaboration, and MLOps-oriented workflows.
• Demonstrated success explaining complex analytical methods and results to audiences with varying levels of technical expertise.
• Familiarity with NLP techniques, modern MLOps practices, and regulated model governance; experience with generative AI, cloud-based ML environments, or mentoring entry-level team members is a plus. Technology Doesn’t Change the World, People Do., All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information.

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