Entity: Oracle America, Inc. Job Duties: Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement. Interacts with product and service teams to identify questions and issues for data analysis and experiments. Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers. May telecommute. (385.28104) Employer will accept a Master's degree in Computer Science, Engineering, Computer Information Systems or related technical field and 5 years of experience in the job offered or in a Data Scientist-related occupation. Position requires: - Java; - Python; - REST APIs; - Microservices; - Big Data including: HiveSQL, Spark, Elastic Cache, and Redis; - Agile Development; - Test Driven Development Junit and Selenium - Data Structures; - Databases SQL and NoSQL; and - Distributed Systems and cloud platforms (OCI). Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives. True innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling 1-888-404-2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Learning begins in the classroom but there’s no better place to gain real-world experience than with Stantec. Interns are an integral part of our teams, working to solve some of the world's most complex challenges. As an intern, you’ll work alongside our experienced practitioners and with our clients and communities. This hands-on experience will equip you with practical skills, build your network, and provide opportunities that set you up for success. This Data Science Intern will work on a range of projects focused on the implementation and advancement of research and digital tools and technologies focused on the water, wastewater, biosolids and energy sectors. The intern will: - Work closely with Water BOU’s data strategy manager, machine learning leader, director of innovation and technology and other team members. - Collaborate with the Water OI&T research and engineering team to design and develop methodologies and systems employing data exploration (EDA), hypothesis testing and data modeling (e.g. advanced statistics, machine learning, data analytics) in digital solutions. - Contribute to initiatives such as Water BOU’s Digital Transformation and development of digital solutions to support project delivery. - Report to an Innovation Portfolio Manager in OI&T. This position can be remote. Qualifications - Strong analytical skills. - Programming knowledge and willingness to further expand knowledge capital and skill sets (e.g., python, MATLAB, etc.). - Excellent oral and written communication skills. - Excellent problem-solving skills. - Ability to independently manage multiple priorities. - Strong interpersonal skills and ability to work within all levels of an organization. - Expert level Microsoft product user; Office365 Suite. - Willingness to develop and enhance low-code/no-code skill sets. - Highly curious and willingness to take intellectual risks. - Team oriented with earnest willingness to share ideas with OI&T team and explore through quick test-and-learn approaches. Benefits - Regular full-time and part-time employees (working at least 20 hours per week) have access to medical, dental, and vision plans, a wellness program, health saving accounts, flexible spending accounts, 401(k) plan, employee stock purchase program, life and accidental death & dismemberment (AD&D) insurance, short-term/long-term disability plans, emergency travel benefits, tuition reimbursement, professional membership fee coverage and paid family leave. - Regular full-time and part-time employees will receive ten paid holidays in each calendar year. - Employees will be eligible to accrue vacation between 10 and 20 days per year and eligible for paid sick leave (and if more generous, in accordance with state and local law). - Temporary/casual employees have access to 401(k) plans, employee stock purchase program, and paid leave, in accordance with state and local law. - The benefits information listed above may not apply to union positions because benefits for such positions are governed by applicable collective bargaining agreements.

• Diseñar modelos analíticos y seleccionar técnicas, variables, codificaciones y algoritmos adecuados. • Desarrollar el código de los modelos y asegurar su correcto funcionamiento. • Analizar grandes volúmenes de datos para generar insights y apoyar decisiones informadas. • Identificar relaciones entre variables y construir soluciones basadas en analítica descriptiva, predictiva y prescriptiva. • Optimizar modelos para asegurar escalabilidad, repetitividad y eficiencia. • Apoyar el roadmap de modelos y actividades analíticas junto con el líder del equipo. • Liderar el monitoreo, mantenimiento y actualización de los modelos implementados. • Co-liderar el despliegue de modelos en ambientes tecnológicos internos junto con Arquitectura de Datos. • Guiar técnicamente a otros científicos de datos del equipo.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description DeepIntent is seeking an experienced Senior Director of Data Science to help lead our global data science organization and advance the next generation of data innovation in healthcare advertising technology. In this role, you will lead a team focused on advanced modeling, optimization, and AI initiatives that enable healthcare marketers to connect patients, providers, and brands responsibly and effectively. The Senior Director, Data Science will help shape and execute data science initiatives that drive predictive, privacy-safe insights to power precision marketing and measurable outcomes. This role will collaborate with data scientists across the U.S., Europe, and India while partnering closely with product, engineering, and commercial leaders to deliver scalable, data-driven solutions. Qualifications - Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related quantitative field - Master’s or Ph.D. in Computer Science, Statistics, Mathematics a plus - 8+ years of experience in data science, machine learning, or advanced analytics roles - 5+ years of people management experience managing data science or analytics teams - Experience working with healthcare data, adtech platforms, or marketing analytics environments - Strong understanding of programmatic advertising, identity resolution, and healthcare data ecosystems (claims, RWD, HCP and patient data) - Advanced experience with Python, SQL, Spark, and modern machine learning frameworks (TensorFlow, PyTorch, XGBoost) - Strong foundation in statistics, causal inference, and measurement methodologies for media effectiveness and attribution - Excellent communicator capable of translating complex technical concepts to business stakeholders and clients - Experience working with healthcare compliance frameworks (HIPAA, GDPR, CCPA) and privacy-aware data science practices - Comfort working in global, cross-functional environments across multiple time zones - Passion for applying data science and AI to improve healthcare marketing outcomes Requirements - Partner with executive and cross-functional leadership to translate data science capabilities into scalable, compliant, and commercially impactful solutions - Help execute the global data science roadmap supporting DeepIntent’s mission to transform healthcare marketing through data and technology - Lead and mentor a distributed team of data scientists across the U.S., Europe, and India - Foster a culture of innovation, experimentation, and collaboration across teams - Contribute to strategic planning and help identify new opportunities where advanced analytics and AI can drive business impact - Develop and optimize predictive and causal models for patient and provider targeting, audience segmentation, and campaign performance measurement - Oversee the development and deployment of machine learning models supporting real-time bidding, healthcare audience modeling, and privacy-first identity resolution - Integrate real-world data (RWD), claims data, and digital engagement signals into scalable machine learning pipelines - Ensure models and data science practices align with healthcare privacy standards including HIPAA and other global regulatory frameworks - Collaborate with engineering, product, and data partnerships teams to strengthen our data infrastructure supporting large-scale, multi-market model deployment - Implement best practices in feature engineering, reproducible research, and ML Ops to improve experimentation speed and reliability - Partner with legal and compliance teams to ensure responsible AI development and ethical use of healthcare data - Work closely with Product, Engineering, Data Partnerships, and Commercial teams to design data-driven solutions that improve targeting precision, optimize media performance, and enhance client outcomes - Translate complex modeling outputs into actionable insights for internal stakeholders and clients Benefits - Competitive base salary range of $185,000 - $220,000 - Annualized bonus plan - Comprehensive medical, dental, and vision insurance - 401K match program - Unlimited PTO policy and paid holidays - Remote friendly culture with flexible work options - Career development and advanced education support - WFH and internet stipends - Competitive base salary plus performance-based bonus for India: comprehensive medical insurance and paid holidays - Hybrid-friendly culture with flexible work options in India - Professional development reimbursement and health and wellness allowance in India - Competitive base salary plus performance-based bonus for Europe: comprehensive medical insurance and flexible PTO - Hybrid-friendly culture with flexible work options in Europe - Professional development reimbursement and parental leave in Europe