Job Description

Job Description Insight Global is looking to hire a Data Scientist to join one of the largest non-profit healthcare systems in the US. This position is responsible for ensuring the seamless operation and optimization of our Supply & Service Resource Management (SSRM) data driven insights, solutions, and processes. In this role, you will be responsible for applying your expertise in data analytics, data engineering, machine learning, and modeling to strengthen SSRM data solutions and processes. Your work will directly contribute to improving patient care, operational efficiency, and decision-making within our healthcare organization. Other responsibilities include: Technical Skill Set -Data Preprocessing: Clean, transform, and prepare data for development and analysis within a data warehouse composed of supply chain information. Ensure data quality, integrity, and consistency. -Development: Use Python and SQL to build and maintain automation processes, such as RPA and email bots, utilizing tools like relay servers and workflow schedulers for internal use by a wide range of supply chain professionals. -Data Integration: Design, code, and maintain data pipelines that bring together disparate healthcare data sources, including Electronic Health Records (EHR) systems, Enterprise Resource Planning (ERP) systems, and external data feeds from SFTP servers and APIs with a heavy emphasis on cloud-based solutions. Ensure that data is collected, stored, and processed efficiently for analysis. -Data Analysis: Analyze large and complex healthcare datasets to identify patterns, trends, and anomalies. Use statistical techniques to draw meaningful conclusions from data. -Error Handling: Provide advanced technical support on application performance issues, determine root causes, and implement system fixes and improvements. -Data Architecture: Build data storage, data warehousing, cloud integration, and data modeling strategies to support data analytic initiatives effectively. -Data Visualization: Create compelling data visualizations and dashboards to communicate findings and insights to non-technical stakeholders. -Machine Learning: Develop and implement predictive models, classification algorithms, and other machine learning techniques to solve supply chain oriented problems, such as automating supply chain processes and resource allocation optimization. Development Practices -Coding Standards: Write code that meets internal standards for style, maintainability, and best practices for a high-scale database environment. Maintain and advocate for these standards through code review. -Agile: Work in an agile environment across developers, analysts, project managers, leaders, and stakeholders utilizing Azure DevOps or a similar project management system. -Pair Programming: Actively participate in pair programming sessions with fellow data scientists involving a driver, a person who writes the code, and a navigator, a person who reviews each line of code. -Dynamic Environment: Function independently on multiple programming projects with competing priorities and adapt quickly to new ideas and disparate data environments like Oracle and Redshift. -Data Security and Compliance: Ensure that all data handling and analysis comply with relevant healthcare regulations and protect patient privacy. -Continuous Improvement/Continuous Development (CI/CD): Adopts a continuous improvement culture, seeking to make good processes better and to elevate those that need work. -Research and Development: Stay up-to-date with the latest advancements in healthcare analytics and data science, and actively contribute to the development of innovative solutions. Collaboration and Communication -Collaboration: Collaborate with cross-functional teams, such as, data engineers, SMEs, and IT professionals, to understand data requirements, business objectives, and supply chain workflows. -Stakeholder Interaction: Work collaboratively with various stakeholders of differing backgrounds. Being able to explain complex technical concepts in simple terms. -Presentation: Story-telling with data in a coherent manner to communicate the significance of analysis and findings. -Understanding Business Objectives: Comprehend business requirements behind analysis, which involves actively engaging with stakeholders to grasp their needs, challenges, and objectives. -Reporting: Collaborate to develop and refine reports and ad-hoc queries for presentations that convey key findings and their potential impact on healthcare operations so stakeholders can make informed decisions. We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to Human Resources Request Form ( . The EEOC "Know Your Rights" Poster is available here ( . To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: . Skills and Requirements -5+ years of relevant experience or a Bachelor's Degree in Data Science, Computer Science, Statistics, or a related field. -Experience with Lawson S3 or equivalent procurement system experience. -Proficient in Python and SQL programming languages. -Knowledge of the supply chain and healthcare operations. -Experience with software engineering best practices, such as version control (Git), testing and continuous integrations, to analytics code. -Proficiency in data manipulation and analysis using tools like Pandas and NumPy. -Ability to extract, combine, and organize large data sets and knowledge of databases. -Understanding of machine learning algorithms, model development, and evaluation. -Proficiency in data visualization tools like Tableau, Google Looker, or similar software. -Excellent communication and teamwork skills, with the ability to convey complex technical information to non-technical stakeholders. -Master's Degree -Experience with healthcare data, including electronic health records (EHR), supply chain data, and clinical data. null We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [email protected].

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