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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Scientist - **Company:** SA FINANCIAL SERVICES, INC - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Data Analysis, Application Integration Architecture, Unit Testing, Big Data, Code Review, Computer Programming, Continuous Integration, Data Mining, Python (Programming Language), Machine Learning, NumPy, Object-Oriented Software Development, Query Optimization, Standard Sql, Data Logging, Data Storage Technologies, Apache Spark, Git, Pandas, Pyspark, Scikit Learn, Information Technology, Machine Learning Operations, Software Version Control, Databricks - **Published:** July 19, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/p5tvg5a9ga ## About the Role * Minimum 4 years of hands-on experience in Data Science, ΑΙ, Machine Learning or Advanced Analytics * Proven experience designing and implementing end-to-end data science solutions for complex business problems * Demonstrated experience taking solutions from proof of concept to production, including testing, packaging, deployment, monitoring and continuous improvement * Strong hands-on programming experience in Python, including object-oriented programming, modular code design, exception handling, logging, unit testing and development of reusable, maintainable and production-ready solutions * Hands-on experience with Databricks, Apache Spark and PySpark for large-scale data processing, analytics and development of scalable solutions * Experience with Git-based development, version control, code reviews, CI/CD practices, model deployment, monitoring and lifecycle management * Advanced knowledge of SQL and experience working with large and complex datasets, including data extraction, transformation, validation and query optimization * Familiarity with AWS cloud environments and services supporting data storage, processing and application integration will be considered an advantage * Strong knowledge of machine learning and data science libraries, including pandas, NumPy, scikit-learn and MLflow, * Bachelor's or Master's degree in Computer Science, Engineering, Statistics, Mathematics or another quantitative discipline * Minimum 4 years of hands-on experience in Data Science, ΑΙ, Machine Learning or Advanced Analytics * Proven experience designing and implementing end-to-end data science solutions for complex business problems * Demonstrated experience taking solutions from proof of concept to production, including testing, packaging, deployment, monitoring and continuous improvement * Strong hands-on programming experience in Python, including object-oriented programming, modular code design, exception handling, logging, unit testing and development of reusable, maintainable and production-ready solutions * Advanced knowledge of SQL and experience working with large and complex datasets, including data extraction, transformation, validation and query optimization * Hands-on experience with Databricks, Apache Spark and PySpark for large-scale data processing, analytics and development of scalable solutions * Familiarity with AWS cloud environments and services supporting data storage, processing and application integration will be considered an advantage * Strong knowledge of machine learning and data science libraries, including pandas, NumPy, scikit-learn and MLflow * Experience with Git-based development, version control, code reviews, CI/CD practices, model deployment, monitoring and lifecycle management Competencies * Ownership and accountability, responsibility for decisions and commitment to results * Adaptability and innovation, openness to change and continuous learning * Customer focus, understanding needs and building strong relationships * Proactivity and initiative, problem solving and opportunity identification * Professional ethos, alignment with values and compliance standards * Collaboration, teamwork and effective stakeholder relationships * Business and strategic thinking, growth opportunities and long-term planning * Leadership, role modeling, high standards and performance recognition ## Related Videos - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Vectorize all the things! Using linear algebra and NumPy to make your Python code lightning fast.](https://www.wearedevelopers.com/videos/562-vectorize-all-the-things-using-linear-algebra-and-numpy-to-make-your-python-code-lightning-fast) - [Advanced Typing in TypeScript](https://www.wearedevelopers.com/videos/496-advanced-typing-in-typescript) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) - [Getting to Know Your Legacy (System) with AI-Driven Software Archeology](https://www.wearedevelopers.com/videos/1437-getting-to-know-your-legacy-system-with-ai-driven-software-archeology) ## Related Articles - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Data Analyst Salary in Switzerland](https://www.wearedevelopers.com/magazine/276-data-analyst-salary-in-switzerland)