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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist, Amazon Connect - **Company:** AMAZONAS HOLDINGS, LLC - **Location:** New York, NY, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Data Analysis, Query Languages, Perl (Programming Language), R (Programming Language), Python (Programming Language), MATLAB, Machine Learning, SAS (Software), SQL Databases, Data Streaming, Amazon Connect, Scripting, Data Ingestion, Session Description Protocol Security Descriptions (SDES) - **Published:** August 11, 2026 - **Apply:** https://us.experteer.com/career/view-jobs/data-scientist-amazon-connect-new-york-ny-usa-58899055 ## About the Role next and SDEs on data ingestion, deployment, and model performance issues Tasks * 2+ years of data scientist experience * 3+ years of experience with data querying languages (SQL) or scripting languages (Python) or statistical software (R, SAS, Matlab) * 3+ years of machine learning/statistical modeling and data analysis experience * Experience applying theoretical models in applied environments * Preferred: Python, Perl, or other scripting languages; ML/data science role at a large tech company Key requirements * health insurance (medical, dental, vision, prescription, Basic Life & AD&D) * RSUs * sign-on payments * 401(k) matching * paid time off * parental leave ## Description Experteer Overview As a Data Scientist at Amazon Connect, you will analyze massive datasets to categorize customer usage patterns, detect anomalies, and understand model performance impact on business metrics. You'll translate business problems into data science solutions, collaborate with product managers, scientists, and engineers, and help shape the next generation of cloud-based contact centers. The role offers substantial impact in a fast-growing, early-stage team with a customer-focused mission and opportunities to build scalable, resilient systems. Compensation / Benefits * Categorize customer idiosyncrasies to summarize differences and their impact on models * Develop mechanisms to detect and clean up outliers affecting model outputs * Deep dive into customer issues to determine model versus customer expectations * Assess data gaps and derive features from existing sources, estimate benefits of new data streams * Collaborate in an agile setting with product managers, scientists, and SDEs on data ingestion, deployment, and model performance issues Tasks * 2+ years of data scientist experience * 3+ years of experience with data querying languages (SQL) or scripting languages (Python) or statistical software (R, SAS, Matlab) * 3+ years of machine learning/statistical modeling and data analysis experience * Experience applying theoretical models in applied environments * Preferred: Python, Perl, or other scripting languages; ML/data science role at a large tech company Key requirements * health insurance (medical, dental, vision, prescription, Basic Life & AD&D) * RSUs * sign-on payments * 401(k) matching * paid time off * parental leave ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Leveraging Large Language Models for Legacy Code Translation: Challenges and Solutions](https://www.wearedevelopers.com/videos/1157-leveraging-large-language-models-for-legacy-code-translation-challenges-and-solutions) - [JavaScript? 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