> Markdown version of [/jobs/ext/3866854-senior-data-scientist](https://www.wearedevelopers.com/jobs/ext/3866854-senior-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Scientist - **Company:** Nexon Inc - **Location:** El Segundo, CA, United States (Remote available) - **Experience:** Expert - **Salary:** $140,000.0 - $180,000.0 - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Data Analysis, Data Infrastructure, Data Mining, Data Visualization, Database Queries, Statistical Hypothesis Testing, JSON, Python (Programming Language), Machine Learning, Language Modeling, Natural Language Processing, Unstructured Data, Jupyter Notebook, Cloud Platform System, Large Language Models, Snowflake, Model Validation, Information Technology, Machine Learning Operations - **Published:** October 22, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/pthlw8cp2a ## About the Role * 5+ years of proven professional working experience as a Data Scientist or related field (Advanced degrees may substitute for part of the required experience.) Education, Professional Training, Technical Training or Certification * BS (MS/PhD Preferred) in quantitative discipline (e.g. Computer Science, Statistics, Applied Mathematics, or a related field) Knowledge/Skills * Expertise in machine learning and statistical analysis approaches such as classification, clustering, regression, statistical inference, collaborative filtering, natural language processing, experimental design, social networking analysis, etc. * Experience managing advanced analytics projects which solve complex analytical problems using data exploration and analysis skills * Experience working with unstructured data (e.g., text, logs, JSON, images) * Expertise in evaluating, automating, deploying, and monitoring models in production systems * A true passion for understanding customer behavior on-platform and in-game * Expert analytical and problem-solving skills, plus the ability to innovate and work with strong initiative * Strong skills in statistical methods (e.g. hypothesis testing, time series modeling) * Strong SQL skills and strong Python skills; familiarity with Jupyter Notebook * Familiar with modern data platforms, and cloud systems (e.g. Snowflake, AWS) * Professional large language models and MLOps experience is a plus. * Online gaming experience is a BIG PLUS! ## Description * Apply your expertise in quantitative analysis, data visualization and data mining to tell the story behind numbers and find relevant insights for partners and leadership * Build and evaluate the ML models and statistical methods to provide Insight & Recommendation and solve the business problems * Establish scalable, automated processes for large scale data extraction, model development, model validation, model deployment, and its monitoring * Research and develop state-of-the-art machine learning, data mining, statistical modeling solutions, and language models to understand game business and key business behaviors, such as player acquisition, retention, and monetization * Maintain clear and comprehensive documentation of the models and analysis results, and present the results to the stakeholders clearly and effectively * Work closely with other data scientists, data analysts, data engineers, and other stakeholders to understand project requirements, provide valuable insights, and advanced solutions. * Mentor other engineers and scientists and contribute to their growth by providing guidance and advice. * Lead the improvement of the team's process. * Other duties as assigned