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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** Alignment Healthcare USA, LLC - **Location:** Orange, CA, United States - **Experience:** Experienced - **Salary:** $70,304.0 - $71,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Artificial Neural Networks, Microsoft Azure, Big Data, C++ (Programming Language), Computer Programming, Continuous Integration, Data Cleansing, Data Structures, Data Visualization, Relational Databases, R (Programming Language), Apache Hadoop, Python (Programming Language), Machine Learning, Natural Language Processing, NoSQL, Scala (Programming Language), SQL Databases, Unstructured Data, Virtual Machines, Cloud Platform System, Large Language Models, Apache Spark, Git, Information Technology, Machine Learning Operations, Software Coding - **Published:** September 12, 2026 - **Apply:** https://www.jofdav.com/jobs/59679950-data-scientist ## About the Role To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions., * Required: PhD in Computer Science, Engineering, Mathematics, Statistics, or related field, * 2+ years of relevant experience in predictive modeling and analysis * Excellent communication, analytical, and collaborative problem-solving skills; * Must have experience with CAHPS and HOS modelling. * Experience in building end-to-end data science solutions and applying machine learning methods to real-world problems with measurable outcomes. * Deep understanding and experience with various machine learning algorithms, including deep neural networks, natural language processing and LLMs. * Solid data structures & algorithms background. * Strong programming skills in one of the following: Python, Java, R, Scala or C++ * Demonstrated proficiency in SQL and relational databases. * Experience with data visualization and presentation, turning complex analysis into insight. * Experience in setting experimental analytics frameworks or strategies for complex scenarios. * Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development, and evaluation data sets, etc. * Experience with manipulating and analyzing complex, high-volume, high-dimensionality, and unstructured data from varying sources, * Healthcare experience * Experience in Big Data processing technologies: Hadoop, Spark, Cosmos * Experience in Azure, AWS, or other cloud ecosystems. * Experience in NoSQL databases. * Published work in academic conferences or industry circles. * Demonstrable track record of handling ambiguity, prioritizing needs, and delivering results in an agile, dynamic startup environment. * Knowledge of CMS Stars rating procedures. ## Description * Collaborate with key business leaders to understand their business problems and come up with analytical solutions. * Applying coding skills and knowledge data structures to develop projects in partnership with other scientists and engineers in the team * Build customer segmentation models to better understand our customers and tailor the clinical outcome and healthcare care experience for them. * Build and fine-tune models for predicting member behaviors at the individual level. * Develop scalable, automated pipelines for model outputs. * Collaborate with engineering teams to version, test, and deploy models using Git, CI/CD pipelines, and virtual machine (VM) environments. * Partner with Coding, Compliance, CDI, Clinical, and Legal teams to ensure data outputs are aligned with CMS guidance. * Help standardize definitions, documentation logic, and reporting workflows to scale enterprise-wide AI-readiness. * Support the analytics backbone of the Stars team with data cleaning, aggregation, and dashboarding. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [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) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [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 Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)