Data Scientist

Welltower CareersDallas, TX
Onsite

About The Position

Welltower, Inc. is seeking a Data Scientist in Dallas, TX to join the Business Insights team. This role will support the company's data and analytics strategy and develop predictive analytics applications. The Data Scientist will be responsible for developing predictive models, processing and analyzing large datasets for actionable insights, and optimizing classifiers using advanced machine learning techniques. The position involves data analysis, mining, statistical modeling, and integrating company data with external sources. The role also includes analyzing model outputs to inform investment and operational processes, enhancing data collection and transformation procedures, and ensuring data integrity and quality. The Data Scientist will conduct exploratory analyses, develop data-driven tools like chatbot applications and web-based dashboards, and implement workflows leveraging large language models (LLMs). Collaboration with cross-functional teams to translate business requirements into technical specifications and deploying data solutions in production environments is key. Continuous monitoring and improvement of model performance and data pipelines are also essential.

Requirements

  • Master degree, or foreign equivalent degree, in Mathematics, Data Science, Computer Science, or Applied Statistics
  • 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 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

Responsibilities

  • 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.
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