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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist II - Gen AI/Python/AWS/SQL - **Company:** UNUM Group - **Location:** Dunwoody, GA, United States - **Experience:** Experienced - **Salary:** $80,630.0 - $165,500.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, Cloud Computing, Computer Programming, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Visualization, IBM DB2, Database Queries, Software Debugging, DevOps, Python (Programming Language), Logical Data Models, Machine Learning, Microsoft SQL Server, Object-Oriented Software Development, SQL Databases, Teradata SQL, Scripting, Freeform SQL, Cloud Platform System, Feature Engineering, Generative AI, Core Data, Feature Selection, Feature Extraction - **Published:** September 19, 2026 - **Apply:** https://dejobs.org/x/x/6EC93DAF01E8494DA77452D79C69ADF5/job/ ## About the Role Are you passionate about leveraging AI, machine learning, and advanced analytics to solve meaningful business challenges? Do you enjoy working in a collaborative, innovation-focused environment where you can explore new ideas, build data-driven solutions, and contribute to the advancement of AI capabilities? If so, this opportunity may be a great fit for you., * Bachelor's degree in a quantitative field required. Master's is preferred * 4+ years of professional experience or equivalent relevant work. Technical Expertise Core Data Science Capabilities Deep expertise in at least two of the following skillsets preferred; and competency in the other : * Programming & Automation: * Python required; experience with automation, DevOps practices, APIs, file I/O, and database integrations. * Experience engineering solutions in cloud environments (AWS preferred; Azure/Google comparable). * Exposure to object-oriented development and scalable architecture. * Data Visualization: * Expertise across multiple visualization tools and techniques. * Ability to tailor visuals to business use cases and audiences. * Statistics & Machine Learning: * Deep knowledge of statistical inference, regression, feature selection, feature extraction, and ML algorithms. * Familiarity with generative AI approaches is a plus. * Data Engineering / ETL: * Strong SQL skills; ability to design, debug, and optimize complex queries. * Ability to navigate and explore large databases independently. * Experience combining internal and external data sources. Soft Skills & Business Leadership * Strong communication skills, including the ability to influence senior leaders. * Project management experience and strong business acumen (financial services experience a plus). * Ability to manage multiple concurrent initiatives in a fast-moving environment. * Comfortable facilitating engagements and representing analytics with executive leadership. ## Description Analytical Solution Development * Design, develop, and execute analytical solutions using optimization, simulation, machine learning, generative AI, and statistical modeling. * Construct predictive models to explain events, forecast behaviors, identify risk, or perform segmentation and clustering. * Apply domain expertise to ensure models are practical, interpretable, and aligned with business needs. * Evaluate alternative approaches and select appropriate modeling techniques for each use case. Data Engineering & Preparation * Integrate and transform large volumes of data from diverse sources (e.g., DB2, SQL Server, Teradata, APIs) to support analytics and experimentation. * Build modeling-ready datasets using validation, reconciliation, feature engineering, and aggregation techniques. * Write complex SQL queries involving multi-table joins, data exploration, and troubleshooting with minimal guidance. * Develop logical data models combining internal and external datasets; lead conversations with external data providers when needed. Automation & Deployment * Build automated analytics pipelines leveraging scripting, APIs, DevOps practices, and cloud platforms. * Partner with engineering and IT teams to scale solutions, automate workflows, and integrate models into business processes. * Actively participate in operationalizing AI/ML solutions within production environments. Visualization, Insights & Communication * Develop and deliver clear, compelling visualizations (static or dynamic) tailored to various audiences. * Interpret analytical results and communicate actionable insights that influence senior leaders and key business partners. * Translate complex technical work into business-friendly recommendations. Mentorship & Collaboration * Coach, mentor, and develop associate or junior data scientists; provide technical guidance and feedback. * Work in a collaborative, innovation-focused environment with product owners, engineers, data architects, and business partners. * Manage multiple projects simultaneously, prioritizing independently and guiding less experienced team members. Innovation & Research * Stay current on emerging statistical methods, machine learning advancements, and generative AI tools. * Conduct independent R&D to prototype new approaches and explore innovative solutions for high-visibility business problems. * Demonstrate entrepreneurial, self-starter mindset with a strong curiosity and continuous-learning orientation. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Data Fabric in Action - How to enhance a Stock Trading App with ML and Data Virtualization](https://www.wearedevelopers.com/videos/253-data-fabric-in-action-how-to-enhance-a-stock-trading-app-with-ml-and-data-virtualization) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Beyond GPT: Building Unified GenAI Platforms for the Enterprise of Tomorrow](https://www.wearedevelopers.com/videos/1525-beyond-gpt-building-unified-genai-platforms-for-the-enterprise-of-tomorrow) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [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 the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Got AI ideas but no money? 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