• Design models and systems that help automate and optimize claims handling, including; Liability prediction, Fraud detection, Document & image understanding. • Partner with product and engineering teams to translate claims workflows into ML solutions • Prototype production-ready models and data pipelines • Dive deep on early stage products to scale product market fit • Help shape the data science roadmap and architecture across Assured’s platform

Role Description Redhawk Administrative Services, LLC is currently seeking a Data Analytics Modeler. The Air Force Accounting and Policy Operations (SAF/FMFO) Data and Analytics Team is responsible for working with the Defense Enterprise Accounting Management System (DEAMS) Integrated Process Team (IPT) Leads and Legacy system subject matter experts (SMEs) to help ensure the successful rollout of financial dashboards to end users as well as the sustainment of the Oracle ERP technology and financials modules for DEAMS. The Data and Analytics Team provides functional and configuration knowledge and manages client relationships. Potential candidates must have experience in Oracle Federal Financials, Department of Defense Financial Management, and full life-cycle implementation. The successful candidate will interact with the functional teams (Procure-to-Pay, Orders-to-Cash, Budget-to-Report, Projects, or Customer Support) and end users in support of the creation and sustainment of financial dashboards. The candidate will provide business process reengineering (BPR) assistance and help the teams through agreed upon phases of project governance, problem solving, and training. Qualifications - Bachelor's Degree in Computer Science, Statistics, Mathematics, or related field - 5 years of experience in BI/ Data Analytics - Proficient with Microsoft Power Platform (PowerBI, PowerAutomate, Power Apps, etc.) - Secret Security clearance required or higher - Must be willing and able to travel as required Requirements - Developing Dashboards and User Facing Products in Microsoft Power Platform - Developing strategies to identify areas of opportunity to optimize statistical efficiency and quality of accounting data - Performing financial data collection through available tools (Discoverer, OBIEE, and APEX) - Analyzing/Interpreting data and recommending corrective (preventative) actions - Identifying accounting anomalies and recommend corrective (preventative) actions - Monitoring unposted transactions and recommend corrective (preventative) actions - Documenting Standard Operating Procedures (SOP) to correct identified anomalies - Performing/Processing actions to correct identified anomalies - Researching trouble tickets to determine course of action - explain, resolve, coordinate and transfer to the appropriate team, or send to triage for system integrator (SI) resolution - Ability to understand issue and analyze root cause through direct customer interaction; brings expertise in Oracle based solution to resolve complex issues and cross functional issues; and communicates with clients effectively in order to resolve customer issues - Ability to leverage Oracle Federal Financials functionality and domain knowledge to assist in solution development Company Description Redhawk Administrative Services, LLC is an equal opportunity employer. Redhawk Administrative Services, LLC does not discriminate in employment opportunities or practices on the basis of race, color, religion, sex, national origin, age, disability, marital status or any other characteristic protected by law.

Role Description Are you passionate about artificial intelligence and eager to gain hands-on experience in a collaborative and innovative environment this summer? Join our team as a Data Scientist Intern to explore the intersection of technology and law through Artificial Intelligence, Legal Collaboration, and Content Protection! This internship is part of the Rising TIDE program. Elsevier created its Rising TIDE internship program to foster inclusion and provide individuals with work experience in the corporate world so that we can develop a pipeline of talent for entry-level individuals for post-graduation opportunities. We are looking for a Data Scientist Intern to join our team, working closely with the Legal department and our AI Data Science team to help identify potential copyright violations in third-party applications and AI models. You will support our content protection efforts by: - Analyzing AI systems and applications - Testing detection models - Collaborating across teams to detect unauthorized use of Elsevier's copyrighted materials This is a unique opportunity to gain practical experience at the intersection of technology and law, working alongside some of the most advanced data scientists in the field. You will be heavily involved in projects that protect intellectual property and ensure regulatory compliance, making a meaningful impact on our business and the broader publishing industry. Location: This is a remote or home-based role, open to various locations in the Eastern and Central time zones. Program Dates: June 1, 2026 - August 7, 2026 Eligibility: Undergraduate or graduate students expected to graduate by May 2027. How to Apply: Candidates must submit a resume and demonstrate technical work by including one of the following: a link to a portfolio website or GitHub profile, code samples, or relevant academic or personal projects to be included on their resume or cover letter. Qualifications - Currently pursuing a bachelor’s or master’s degree in computer science, data science, statistics, mathematics, or a related field of study with a graduation date of May 2027. - Demonstrate proficiency in Python and be familiar with libraries for machine learning, NLP, web scraping, or data analysis (e.g., scikit-learn, TensorFlow, PyTorch, HuggingFace Transformers, BeautifulSoup, Scrapy, pandas). - Have experience with data analysis tools and techniques. - Display an interest in legal and compliance topics related to AI and intellectual property (prior experience is a plus, but not required). - Be able to work collaboratively and communicate effectively within a multidisciplinary team. - Experience with testing, web scraping tools, APIs, Agile/Scrum, or version control (like GitHub) is advantageous, but not required. - Display solid analytical skills and a structured approach to problem-solving. - Eager to learn and contribute in a supportive environment. Requirements - Collaborate with Legal and AI Data Science teams to address challenges in content protection and compliance. - Analyze third-party AI models and applications for potential unauthorized use of Elsevier content. - Support the development and evaluation of AI models for detecting copyright infringements and compliance risks. - Assist the legal team in preparing technical documentation for compliance cases. - Analyze datasets, identify patterns, and communicate findings clearly to stakeholders. - Document issues and suggest improvements to systems and processes. - Learn best practices and advanced methodologies from experienced team members. Benefits - $28/hour for undergraduate students - $30/hour for graduate students - This position is not eligible for benefits. Company Description A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world.

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. We’re passionate about empowering restaurants—today and into the future. Our mission is to help them adapt, grow, and thrive through purpose-built technology. As a Senior Data Scientist, you’ll lead the design and development of scalable ML systems for use cases such as menu recommendation, demand forecasting, offer targeting, and guest personalization. You will serve as a technical thought partner across teams, set best practices, and influence the roadmap for ML-driven products that support key business outcomes. Your work will directly shape strategic decisions and enhance customer experience at scale. A day in the life (Responsibilities) - Own the full machine learning lifecycle—from problem framing and data exploration to modeling, deployment, and monitoring—for mission-critical initiatives. - Design and implement advanced ML and statistical models that improve product performance, operational efficiency, or customer insights. - Collaborate with engineers, product managers, and business stakeholders to define project scope, success metrics, and integration strategy. - Guide architectural decisions, set modeling standards, and champion best practices for experimentation, validation, and productionization. - Mentor other data scientists and raise the technical bar through design reviews, feedback, and sharing domain expertise. - Proactively identify areas where data science can create business value and lead cross-functional efforts to drive those opportunities forward. - Leverage cutting edge AI tools to enhance your development workflow, improve velocity, and help pioneer new approaches to building - contributing to a culture of innovation and productivity across the team. What you'll need to thrive (Requirements) - 5+ years of experience in data science with a proven track record of delivering production ML systems that drive measurable impact. - Deep knowledge of statistical modeling, machine learning (e.g., tree-based models, time series, deep learning), and model evaluation. - Experience working with real-world product data at scale and translating ambiguous problems into well-scoped ML solutions. - Experience with distributed data processing and training, real-time inference, and ML Ops frameworks - Prior experience mentoring other data scientists or acting as a tech lead. - Experience leading experimentation (e.g., A/B testing), causal inference, and real-time decision systems. - Proficiency in Python and SQL, and experience with ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow). - Strong grasp of software engineering principles including modular design, version control, testing, and CI/CD. - Hands-on experience with cloud platforms (preferably AWS), including tools like SageMaker, Athena, Glue, DynamoDB, and Bedrock. - Excellent communication skills and the ability to influence both technical and non-technical stakeholders. - Strong business acumen with the ability to align technical solutions with company goals. Bonus ingredients*: - An advanced degree in Computer Science, Statistics, or a related STEM field is preferred. - Familiarity with MLOps tooling for monitoring, drift detection, retraining, and explainability. - Experience fine-tuning LLMs and applying reinforcement learning from human feedback (RLHF) to improve model performance and alignment. AI at Toast At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture. Our Total Rewards Philosophy We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits. The base salary range for this role is listed below. The starting salary will be determined based on skills and experience. In addition to base salary, our total rewards components include cash compensation (overtime, bonus/commissions, if eligible), benefits, and equity (if eligible). Pay Range $122,000—$195,000 USD How Toast Uses AI in its Hiring Process Throughout the hiring process, our goal is to get to know you. We use AI tools to support our recruiters and interviewers with tasks like note-taking, summarization, and documentation of interviews to ensure they can be fully focused on your conversation. All hiring decisions are made by people. Diversity, Equity, and Inclusion is Baked into our Recipe for Success At Toast, our employees are our secret ingredient—when they thrive, we thrive. The restaurant industry is one of the most diverse, and we embrace that diversity with authenticity, inclusivity, respect, and humility. By embedding these principles into our culture and design, we create equitable opportunities for all and raise the bar in delivering exceptional experiences. We Thrive Together We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the restaurant community. To learn more about how we work globally and regionally, check out: https://careers.toasttab.com/locations-toast. Apply today! Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact candidateaccommodations@toasttab.com. ------ For roles in the United States, it is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.