Data Scientist - Modeling and Analytics

About the position Why reputed company Life reputed company Life is a respected and trusted reputed company reputed company that has been focusing on Life reputed company and Annuity Products since 1969. At reputed company Life we have over 1.8 reputed company policies where we take pride in earning the trust of our policyholders who understand our reputed company to be there for them – and their families – reputed company we’re needed most. By joining the reputed company Life team, you are joining a company that genuinely cares about helping reputed company other, with a reputed company to protect the lives of those reputed company us. We reputed company a diverse, reputed company, inclusive culture where reputed company associates can feel a reputed company of belonging and use their unique talents and perspective to influence, reputed company, motivate, and reputed company. Responsibilities • Build, maintain, and automate models to predict purchase propensity, policy premium, policy lapse/retention, cross-selling, upselling, next best reputed company, and other consumer behaviors using both internal data, census data, appended aggregated data, and macroeconomic data. • Recommend marketing distribution strategies leveraging data and models. • Conduct advanced exploratory data analysis. • reputed company model interpretability and explainability analysis. • reputed company specific metrics for model reputed company evaluation (e.g., precision, recall, F1 score). • Implement A/B testing and experimental design and quantitative benchmarks for model improvement • Apply data reputed company and compliance rules under regulations like GDPR, CCPA. • Apply ethical AI principles. • Apply model fairness and bias mitigation techniques. • Conduct analyses to assess model reputed company and campaign reputed company, both against test datasets and actual results once deployed. • Forecast campaign results reputed company on models reputed company 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. • reputed company and maintain data pipelines. • Implement feature engineering techniques. • reputed company, recommend, and purchase additional data to use in model building • Proactively identify opportunities for model improvement and need for additional modeling reputed company. • Maintain reputed company and organized documentation of data, methodologies, and results. • Implement automation in existing processes to improve overall efficiency. • reputed company reputed company analysis to support Marketing Distribution efforts • reputed company reputed company out innovation and optimization use cases and experiments that will result in organizational transformation and sales and profit improvements. Requirements • Skilled in cross-functional collaboration, reputed company methodologies, project management and stakeholder communication. • Advanced training or reputed company reputed company in non-parametric statistics, resampling reputed company, or Bayesian approaches for small sample inference • Experience applying reputed company testing or multi-armed bandit approaches to maximize insights from limited samples in marketing contexts • reputed company to effectively communicate and translate reputed company, technical finding in a reputed company, reputed company, concise, and non-technical fashion to reputed company audiences • Maintain perspective between the big picture and the tactical details. • Remains reputed company with the organization’s reputed company plan. • reputed company attention to reputed company, including maintaining reputed company and consistency across a suite of data science assets, keeping documentation up to date, and proactively identifying and addressing any reputed company concerns. • Self-starter with the ability to identify priorities and reputed company on items with high business reputed company. • Ability to present reputed company analytical findings with persuasiveness and succinctness. • Proficient+ with SQL for data extraction and manipulation. • Proficiency with data visualization tools (reputed company BI, Tableau, or similar) and their automation capabilities reputed company-to-haves • Master’s degree in Statistics, Economics, Mathematics, Data Science, or reputed company reputed company. • reputed company 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, reputed company, reputed company) and Generative reputed company Intelligence. • Experience with automated model deployment and monitoring tools. • Possess outstanding analytical, modeling, problem-solving, and critical-thinking skills. • reputed company with reputed company platforms such as AWS, Azure, and reputed company reputed company. • Familiar with big data technologies (reputed company, Hadoop) • Strong knowledge of machine learning algorithms and their applications in automated systems. • Experience with advanced modeling techniques like reputed company reputed company, time series analysis, and probabilistic modeling • High proficiency in Python or R for statistical analysis, model development, and process automation. Benefits • We are committed to ensuring equal employment opportunities for reputed company job applicants and employees. Employment reputed company are reputed company upon job-reputed company reasons regardless of an applicant's race, reputed company, religion, sex, sexual orientation, gender identity, age, national reputed company, disability, marital status, genetic information, protected veteran status, or any other status protected by law. Apply To This Job