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# Data Scientist

- **Company:** Robert Half
- **Location:** Jacksonville, FL, United States
- **Experience:** Expert
- **Contract:** Temporary contract
- **Skills:** Big Data, Computer Programming, Data Cleansing, Extract Transform Load (ETL), Distributed Computing Environment, R (Programming Language), Apache Hadoop, Python (Programming Language), Machine Learning, Natural Language Processing, NumPy, Tableau (Software), Visual Analytics, Data Processing, Apache Spark, Generative AI, Pandas, Matplotlib, Pyspark, Scikit Learn, Information Technology, Plotly, Apache Kafka, Data Management, Machine Learning Operations, Databricks
- **Published:** September 11, 2026
- **Apply:** https://www.jacksonvillejobforce.com/job.asp?id=3386423703&tx=KL9797FFU&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* 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.

## Description

* 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.


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