> Markdown version of [/jobs/ext/4659850-data-scientist](https://www.wearedevelopers.com/jobs/ext/4659850-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). --- # Data Scientist - **Company:** Caplan, Howard S MD & Associates PC - **Location:** San Jose, CA, United States (Remote available) - **Experience:** Expert - **Salary:** $144,991 - $243,500 - **Contract:** Permanent contract - **Skills:** A/B Testing, Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, Cloud Computing, Databases, Extract Transform Load (ETL), Data Presentation, Data Visualization, Data Warehousing, Apache Hadoop, Statistical Hypothesis Testing, Python (Programming Language), Machine Learning, Monte Carlo Methods, Tensorflow, SQL Databases, Tableau (Software), Unstructured Data, Pytorch, Large Language Models, Agentic-AI, Matplotlib, Pyspark, Scikit Learn, Information Technology, Data Analytics, Plotly, Machine Learning Operations, Looker Analytics - **Published:** November 10, 2026 - **Apply:** https://startup.jobs/senior-data-scientist-0701-paypal-payments-mexico--10721493 ## About the Role Must be legally authorized to work in the U.S. without sponsorship. Additional Responsibilities & Preferred Qualifications: Minimum Requirements: Master's degree, or foreign equivalent, in Computer Science, Engineering, Data Science, Statistics, or a closely related field plus two years of experience in the job offered or a related occupation. Special Skill Requirements: Experience using Python and SQL for data analysis, querying databases, and machine learning (2 years). Experience with statistical analysis, probability, hypothesis testing, parametric & non-parametric tests, A/B testing frameworks and product analytics (2 years). Experience with Bayesian Statistics and Mixed Effect Modeling to measure Product launches. (2 years). Experience with machine learning and predictive modeling, including scikit-learn, TensorFlow, or PyTorch for building and deploying models (2 years). Experience with data visualization, Tableau, Looker, Plotly, Dash and Matplotlib/Seaborn for presenting insights (2 years). Experience with ETL pipelines, data warehouses to work efficiently with structured and unstructured data (2 years). Experience translating data insights into actionable business strategies and communicating findings to stakeholders (2 years). Experience with AWS, GCP, or Azure for cloud computing, storage, and model deployment (2 years). Experience working with PySpark and Hadoop for handling large-scale datasets (1 years). Experience with probabilities modeling using Monte Carlo simulation and related stochastic techniques (1 years). ## Description This job will lead the development and implementation of advanced data science models and algorithms. You will work with stakeholders to understand requirements and deliver solutions. Your role involves driving best practices in data science, ensuring data quality, and mentoring junior scientists., PayPal, Inc. seeks Senior Data Scientist in San Jose, CA, Job Duties: Design and execute controlled experiments to measure the effectiveness of PayPal's Agentic Commerce offering across LLM platforms. Apply causal inference methodologies to attribute revenue and conversion changes to product features in AI-driven checkout flows. Develop behavioral models to understand merchant and consumer interactions within conversational commerce environments. Build measurement frameworks to track key performance metrics across growth, conversion, latency, availability, and friction for emerging AI commerce channels. Collaborate with Product and Engineering teams to optimize the Agentic Commerce experience based on data-driven insights. Partial telecommuting permitted from within a commutable distance., The base pay for this role will depend on where you work and the relevant experience and expertise you bring. The expected range of pay for this role by location is, For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.