• Report to the team lead and be a key contributor to our migration from a legacy SQL Server data stack to a modern cloud data stack consisting of Snowflake, dbt and Tableau • Design and build data pipelines using Snowpark and/or Snowpipe where native connectors do not exist for Snowflake for various data sources • Contribute to designing and building a new multi-dimensional data model in Snowflake • Work closely with our Business Intelligence Analytics team - monitoring and implementing enhancement requests for the data warehouse to meet the reporting demands of stakeholders

Every year, we help hundreds of thousands of people find rewarding jobs in the ever-changing world of work. We understand the importance of a job in peoples lifes and we want to help them find work that feels good. And we’ll help them continue to grow as their needs and ambitions change. At Randstad, our value comes from our people and that is why we put them first. We are proud of our learning culture and career architecture framework that encourages ours team to develop both personally and professionally. We believe that talent grows when presented with opportunity and this is why we encourage our people to think beyond their role. We have created a culture that enables talent to flourish, encouraging entrepreneurship, fostering team spirit, and continually building mutual trust. • Performs more complex data management tasks, including the acquisition, processing, integration, and cleaning of large data sets from multiple sources, enhancing the organization's ability to make strategic decisions through improved data quality and accessibility, focusing on multiple business units or areas • Develops and maintains the complex and detailed data dashboards and reports independently, utilizing a range of cutting-edge tools to automate data collection and generate sophisticated reports. Significantly advances the development and efficiency of analytical processes, ensuring that complex data insights are effectively presented across the organization • Performs complex data investigations and analysis, identifying trends and variances that support the organization’s strategic initiatives on a larger scale. Manages intricate data mining, validation, and reconciliation tasks to ensure accuracy and consistency in data reports, working with multiple business areas • Delivers complex business intelligence projects and change management initiatives, providing critical support within assigned areas to better align with organizational strategies. Leads the implementation of new analytics tools and techniques across diverse areas • Acts as data intelligence partner for business leaders. Utilizes specialist knowledge in data visualization to influence strategic decisions • Leads and continuously develops and shares specialist knowledge on emerging trends and changes in data analytics and business intelligence, actively participating in strategic, forward-looking projects across the organization. This includes creating more complex reporting solutions and improvement proposals that increase the quality and uniformity of reporting • Develops and implements the modernization and automation of departmental reporting capabilities, enhancing reporting quality and consistency on an advanced scale Grade Descriptor • Requires specialized conceptual and practical knowledge in own discipline or field and comprehensive understanding of related disciplines • Solves complex and diverse problems • Works independently, receives minimal guidance • Leads projects or project steps within a broader or cross-functional project or may have accountability for on-going activities or objectives • Contributes to process improvements • Acts as a resource for and supports the development of colleagues with less experience • Impacts the ongoing achievement of customer, operational, project/program or key business/organizational/service objectives and recommends improvements within area of responsibility • Explains difficult or sensitive information to facilitate productive discussion; works to build consensus Is this the job for you? We would love to hear from you! Please apply directly to the role and we will get in touch with you.

• Design and deliver end‑to‑end AI solutions , from problem framing and architecture to deployment, monitoring, and iteration, on our Azure + Databricks medallion platform • Architect and build LLM‑powered applications , including RAG pipelines, AI agents, structured outputs, and intelligent alerting integrated with LINAC telemetry and fault data • Develop production‑grade APIs (FastAPI) exposing AI capabilities such as model inference, predictive maintenance scores, and anomaly alerts to clinical dashboards and service tools • Translate clinical and operational requirements into robust AI system designs, acting as a bridge between domain experts (medical physicists, field engineers) and the engineering team • Integrate ML models and GenAI components into the ViDA data platform, orchestrating inference pipelines, managing model lifecycle with MLflow , and ensuring reliability at scale • Build and maintain data pipelines (PySpark, Delta Lake) that provide clean, validated telemetry, dosimetry, and MPC data from the global LINAC fleet • Own production observability for AI systems, including latency, data drift, and model degradation, driving continuous improvement based on real‑world performance • Champion AI adoption across internal teams through clear documentation, technical onboarding, and explainable, actionable AI outputs

Title: Quantitative Analytics Professional A Location: Mclean United States McLean, VA Category Quantitative Analytics & Data Job Id JR17099 Job Description: At Freddie Mac, our mission of Making Home Possible is what motivates us, and it's at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. Job Description - Develop and/or analyze quantitative models that assess the market, credit and/or operational risks of new and existing financial and mortgage products or portfolios to support business and risk decisions. - Develop strategies to analyze and interpret output of models or analytic applications, which assess things such as default losses and required capital of the portfolio. - Plan, execute, and document analysis of complex financial models and provide support to the use of model applications. - May provide portfolio risk assessments based on findings. May provide modeling and analytical assistance to a line of business or product area, functioning as day-to-day technical expert. - Evaluate and manage risks associated with the company's models, including models of defaults, security valuation, prepayments, loan scoring and others. - May perform detailed model validation reviews, establishing performance thresholds, researching model approaches, creating alternative models and other means. - Provide innovative, thorough, and practical solutions to an extensive range of demanding problems, including analyses of relative value. - Position may be eligible for part-time telecommuting. Job Requirements Master's degree or foreign equivalent degree* in Applied mathematics, economics, physics, finance, business analytics, engineering, statistics, computer science, or related quantitative discipline. Must have demonstrated knowledge of: (1) Using and applying predictive modeling standard principles, theories, concepts, and techniques; (2) Programming in SAS, Python, or R; and (3) Mortgage portfolio credit risk. - Any combination of education that has been evaluated by a professional credentials evaluation service to be the academic equivalent of a U.S. degree will be accepted. Demonstrated knowledge can be established through coursework, training, or work experience. 40 hours per week 8:45 AM to 5:15 PM. Work location: 8200 Jones Branch Drive, McLean, VA 22102. We consider all applicants for all positions without regard to gender, race, color, religion, national origin, age, marital status, veteran status, sexual orientation, gender identity/expression, physical and mental disability, pregnancy, ethnicity, genetic information or any other protected categories under applicable federal, state or local laws. We will ensure that individuals are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. A safe and secure environment is critical to Freddie Mac's business. This includes employee commitment to our acceptable use policy, applying a vigilance-first approach to work, supporting regulatory mandates, and using best practices to protect Freddie Mac from potential threats and risk. Employees exercise this responsibility by executing against policies and procedures and adhering to privacy & security obligations as required via training programs. CA Applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Notice to External Search Firms: Freddie Mac partners with BountyJobs for contingency search business through outside firms. Resumes received outside the BountyJobs system will be considered unsolicited and Freddie Mac will not be obligated to pay a placement fee. If interested in learning more, please visit www.BountyJobs.com and register with our referral code: MAC. Time-type:Full time FLSA Status:Non-Exempt Freddie Mac offers a comprehensive total rewards package to include competitive compensation and market-leading benefit programs. Information on these benefit programs is available on our Careers site. This position has an annualized market-based salary range of $105,000 - $157,000 and is eligible to participate in the annual incentive program. The final salary offered will generally fall within this range and is dependent on various factors including but not limited to the responsibilities of the position, experience, skill set, internal pay equity and other relevant qualifications of the applicant.