• Complete a 15-minute structured survey from your desktop computer • Detail your experience evaluating enterprise data and analytics platforms • Provide specific feedback on the analytics tools you currently use • Record brief video responses using your web camera if prompted

Role Description This Principal Data Scientist role will be a part of the Decision Sciences team in Client Center of Excellence organization. The role will be responsible for strategic interpretation of data and business requirements to provide executive leadership and the growth with customer centric data driven insights and AI/ML solutions. Working in collaboration with Director, Decision Sciences and other data scientists team members, this role works to: - Identify new business requirements across the organization. - Translate business requirements into data models. - Perform data engineering to combine diverse data sets. - Develop custom algorithms for predictive AI models to support the Growth business and Optum business units. You will enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges. Primary Responsibilities: - Lead development of advanced AI/ML systems using techniques such as deep learning, representation learning, time-series modeling, survival analysis, and probabilistic modeling to solve complex healthcare problems. - Develop Generative AI and LLM-powered solutions including retrieval-augmented generation (RAG) pipelines, domain-adapted LLMs, and AI copilots for enterprise workflows. - Lead collaboration with key business stakeholders to develop business solutions based on data driven insights to solve complex business problems. - Lead projects that combine diverse customer data sets to identify trends and opportunities, develop custom machine learning models, and provide recommendations to optimize the business and address data-related problems. - Serve as a senior technical authority in AI/ML by mentoring data scientists and reviewing complex modeling approaches and architecture. - Coordinate with different functional teams to improve customer data architecture, ensure accuracy of model output and implement new data gathering processes. - Create customized summaries, business presentations and documentation for internal business clients based on the results of research. - Collaborate with engineering, platform, and product teams to operationalize scalable AI/ML and GenAI systems within enterprise platforms. Qualifications - 8+ years of experience in machine learning, artificial intelligence, or applied data science to develop data products in a business environment. - 8+ years of experience in Python-based machine learning development using frameworks such as PyTorch, TensorFlow, Pandas or equivalent. - 5+ years of experience designing and deploying production machine learning systems leveraging regression, natural language processing algorithms, classification and clustering, time-series forecasting and predictive/prescriptive modeling. - 5+ years of experience providing data driven solutions, predictive models, reports, or recommendations within a business environment using SQL or data visualization tools. Requirements - Experience working with distributed ML systems and large-scale data platforms such as Snowflake, Spark, Databricks, or other ML systems. - Experience working as a project or team lead on the development of data products in a business environment. - Experience working as a key SME to executive or C-Suite stakeholders. - Experience deploying AI solutions on cloud platforms such as AWS, Azure, or GCP. - Experience working with healthcare datasets and standards such as claims, EHR, ICD, CPT, SNOMED, FHIR, or HL7. - External contributions such as publications, patents, or open-source projects in machine learning or generative AI. Benefits - Comprehensive benefits package. - Incentive and recognition programs. - Equity stock purchase. - 401k contribution (all benefits are subject to eligibility requirements).

Role Description The Precision Medicine Intern, under general supervision, supports the data scientists and attends data science calls. Learns about procedures, processes, and data within the department. Performs daily administrative tasks as needed. Supports and adheres to the US Oncology Compliance Program, including the Code of Ethics and Business Standards. - Participate in data science meetings and project calls to gain exposure to real-world analytics, modeling approaches, and clinical data workflows. - Learn and apply department procedures, processes, and data standards related to precision medicine, oncology, and healthcare analytics. - Assist with organizing, validating, and cleaning datasets used for reporting, research, or exploratory analysis. - Help prepare basic summaries, visualizations, or presentation materials to support ongoing projects. - Collaborate with data scientists and cross-functional team members to support project timelines and deliverables. - Perform daily administrative and operational tasks as needed to support the team, including tracking requests, updating documentation, and maintaining organized project files. - Adhere to data privacy, security, and compliance requirements when handling sensitive clinical or patient-related data. Qualifications - High School Diploma or equivalent required. - Must be a rising junior or senior currently enrolled in a bachelor’s program in Data Science, Computer Science, Statistics, Mathematics, Bioinformatics, Public Health, or a related field. - Strong attention to detail with the ability to follow data standards and documentation requirements. - Effective written and verbal communication skills, including the ability to summarize findings or ask clarifying questions. - Ability to manage tasks, meet deadlines, and work both independently and collaboratively in a team environment. - Interest in healthcare, oncology, or precision medicine and the application of data to clinical or research settings. - Understanding of, or willingness to learn, data privacy and compliance principles (e.g., HIPAA-related awareness). Requirements - Physical demands of this job typically require full range of body motion including manual and finger dexterity and eye-hand coordination. - Ability to read and note appropriate measurements. - Requires sitting/standing for extensive periods of time. - Occasionally lifts and carries items weighing up to 40 lbs. - Requires corrected vision and hearing to normal range. Work Environment - Regularly exposed to direct contact with patients with potential for exposure to toxic substances, medicinal preparations, and chemotherapeutic agents. Benefits - Competitive benefits package including Medical, Dental, Vision, Life Insurance. - Short-term and Long-term disability coverage. - A generous PTO program. - A 401k plan that comes with a company match. - A Wellness program that rewards practicing a healthy lifestyle. - Tuition Reimbursement. - An Employee Assistance program. - Discounts on some favorite retailers.

Role Description - Estruturar e manter bancos de dados para análise, garantindo a integridade, organização e disponibilidade das informações; - Realizar processos de ETL (extração, transformação e carregamento de dados), data cleansing e criação de features para preparação de dados; - Extrair, tratar e analisar grandes volumes de dados provenientes de diferentes fontes, promovendo estudos analíticos ad hoc; - Desenvolver e implementar modelos preditivos utilizando técnicas avançadas de machine learning, de acordo com as necessidades do negócio; - Trabalhar de forma colaborativa com equipes multidisciplinares para identificar oportunidades de análise e propor soluções baseadas em dados; Qualifications - Experiência avançada em estruturação e tratamento de bancos de dados relacionais; - Domínio de processos de ETL, data cleansing e feature engineering; - Sólidos conhecimentos em SQL e Python; - Vivência com análise e manipulação de grandes volumes de dados; - Experiência comprovada em desenvolvimento e implementação de modelos preditivos utilizando técnicas de machine learning; - Capacidade de traduzir necessidades de negócio em análises e estudos de dados eficazes; - Experiencia em política de crédito e atributos de Bureaux; - Graduação em Ciência de Dados, Engenharia, Estatística, Matemática, Computação ou áreas correlatas;