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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Scientist - Modeling and Analytics - **Company:** AAA Life Insurance Company - **Location:** Livonia, MI, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** A/B Testing, Agile Methodology, Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, Continuous Integration, Data Mining, Data Visualization, Monitoring of Systems, Python (Programming Language), Machine Learning, Automation of Marketing, Microsoft PowerPoint, Power BI, Azure Machine Learning, SQL Databases, Tableau (Software), Value Engineering, Google Cloud, Feature Engineering, Generative AI, Git, Machine Learning Operations, Databricks - **Published:** May 19, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=3a2b77322b9e1a41 ## About the Role * Master's degree in Statistics, Economics, Mathematics, Data Science or related field. Experienced in marketing analytics or customer behavior modeling. * 5 to 7 years of experience in data science, including hands-on experience with Machine Learning (e.g., scikit-learn, TensorFlow, PyTorch, DataRobot, Databricks), Machine Learning Operations, and Generative Artificial Intelligence. Experience with automated model deployment and monitoring tools. * Possess outstanding analytical, modeling, problem-solving, and critical-thinking skills. * Experienced with cloud platforms such as AWS, Azure, and Google Cloud. Familiar with big data technologies * Strong knowledge of machine learning algorithms and their applications in automated systems. Experience with advanced modeling techniques like ensemble methods, time series analysis, and probabilistic modeling * High proficiency in Python or R for statistical analysis, model development, and process automation. Proficient with SQL for data extraction and manipulation. * Proficiency with data visualization tools (Power BI, Tableau, or similar) and their automation capabilities * Skilled in cross-functional collaboration, agile methodologies, project management, and stakeholder communication. * Advanced training or academic focus in non-parametric statistics, resampling methods, or Bayesian approaches for small sample inference * Experience applying sequential testing or multi-armed bandit approaches to maximize insights from limited samples in marketing contexts * Able to effectively communicate and translate complex, technical findings in a candid, clear, concise, and non-technical fashion to all audiences using Power Point. * Maintain perspective between the big picture and the tactical details. Remains aligned with the organization's strategic plan. * Stellar attention to detail, including maintaining accuracy and consistency across a suite of data science assets, keeping documentation up to date, and proactively identifying and addressing any quality concerns. * Self-starter with the ability to identify priorities and focus on items with high business impact. * Ability to present complex analytical findings with persuasiveness and succinctness Preferred Experience * Experience in the insurance or financial services industry * Experience working with Generative AI in the context of predictive modeling * Knowledge of marketing attribution models, marketing mix media models, automated customer lifetime value analysis, and customer lapse prediction. * Experience with automated MLOps and continuous model deployment * Experience with Git for version control and automated CI/CD for analytical code * Understanding of risk assessment and actuarial modeling principles While performing the duties of this job, the employee is frequently required to stand, walk, sit, use hands to finger, handle, or feel, talk, hear and concentrate. Specific vision abilities required by this job include close vision, distance vision, depth perception, and ability to adjust focus. This job requires the ability to perform duties contained in the job description for this position, including, but not limited to, the above requirements. Reasonable accommodation will be made for otherwise qualified applicants as needed to enable them to fulfill these requirements. ## Description * Build, maintain, and automate models to predict purchase propensity, policy premium, policy lapse/retention, cross-selling, upselling, next best action, and other consumer behaviors using both internal data, census data, appended aggregated data, and macroeconomic data. Recommend marketing distribution strategies for leveraging data and models. * Conduct advanced exploratory data analysis. Perform model interpretability and explainability analysis. * Leverage specific metrics for model performance evaluation (e.g., precision, recall, F1 score). Implement A/B testing and experimental design and quantitative benchmarks for model improvement * Apply data privacy and compliance rules under regulations like GDPR, CCPA. Apply ethical AI principles. Apply model fairness and bias mitigation techniques. * Conduct analyses to assess model performance and campaign performance, both against test datasets and actual results once deployed. * Forecast campaign results based on models built and validate forecast against actuals. * Work with marketing data architects and engineers to ensure data is clean, complete, correct, and suitable for modeling using AI/ML platforms. * Develop and maintain ML pipelines. Implement feature engineering techniques. Find and recommend additional data to use in model building * Proactively identify opportunities for model improvement and need for additional modeling projects. * Maintain clear and organized documentation of data, methodologies, and results. * Implement automation in existing processes to improve overall efficiency. * Perform ad hoc analysis to support Marketing Distribution efforts * Actively seek out innovation and optimization use cases and experiments that will result in organizational transformation and sales and profit improvements. * Utilize advanced analytics and data mining techniques to proactively identify areas of high potential and untapped market opportunities across customer segments, distribution channels, products, and geographies, translating insights into actionable strategies that drive incremental growth and competitive advantage. * Leverage emerging technologies, including Generative AI and advanced automation tools, to uncover new opportunities for operational efficiency, cost savings, productivity gains, and increased production capacity, while accelerating innovation across modeling, analytics, and marketing workflows. ## Related Videos - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Anomaly Detection - Using unsupervised Machine Learning for detecting anomalies in customer base](https://www.wearedevelopers.com/videos/6-anomaly-detection-using-unsupervised-machine-learning-for-detecting-anomalies-in-customer-base) - [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) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Data Analyst Salary Germany](https://www.wearedevelopers.com/magazine/277-data-analyst-salary-germany) - [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) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)