Data Scientist

Data Scientist needed by Welltower, Inc. in Dallas, TX to Support the Business Insights team with Welltower's data and analytics strategy and predictive analytics applications across the organization. Develop predictive models and scalable solutions to efficiently process, extract, and analyze large datasets for actionable business insights. Work on selecting features, defining metrics, and building or optimizing classifiers using advanced machine learning techniques and data-driven methodologies. Perform data analysis, mining, and statistical modeling using data engineering best practices. Integrate company data with third-party and external sources to enhance analytical accuracy and predictive performance. Analyze predictive model outputs to generate meaningful insights that inform Welltower's investment and operational processes. Enhance data collection and transformation procedures to ensure completeness, consistency, and relevance for building analytical and predictive systems. Process, cleanse, and verify the integrity and quality of data used across projects. Conduct exploratory and ad-hoc analyses to identify trends, anomalies, and opportunities, and present findings in a clear and actionable manner to business stakeholders. Develop and maintain data-driven tools including chatbot applications and web-based dashboards, that streamline data access, automate reporting, and support real-time decision-making. Design and implement workflows that leverage large language models (LLMs) for text extraction, classification, and summarization to improve analytical efficiency. Collaborate with cross-functional teams to translate business requirements into technical specifications and deploy data solutions in production environments. Continuously monitor, evaluate, and improve model performance and data pipelines to maintain high-quality outputs and support Welltower's strategic objectives. Apply understanding of the data and analytics landscape. Apply technical skills to include a deep understanding of (but not limited to): Reporting, Programming, Predictive Modeling, and Solution Architect. Apply knowledge of machine learning techniques and algorithms. Apply experience with common data science toolkits from at least one of the following: R, MATLAB, and Python. Apply experience with data mining and data visualization tools including Alteryx and RStudio. Apply skills in applied statistics including distributions, correlation, statistical testing, and regression analysis. Apply knowledge of enterprise profitability and business planning and forecasting.

Minimum Requirements: Requires a Master degree, or foreign equivalent degree, in Mathematics, Data Science, Computer Science, or Applied Statistics and 2 years of experience in the job offered or 2 years of experience in a related occupation applying understanding of the data and analytics landscape; applying technical skills to include a deep understanding of (but not limited to): Reporting, Programming, Predictive Modeling, and Solution Architect; applying knowledge of machine learning techniques and algorithms; applying experience with common data science toolkits from at least one of the following: R, MATLAB, and Python; applying experience with data mining and data visualization tools including Alteryx and RStudio; applying skills in applied statistics including distributions, correlation, statistical testing, and regression analysis; applying knowledge of enterprise profitability and business planning and forecasting.