• Support the Business Insights team in advancing Welltower’s data and analytics initiatives. • Assist in the development and testing of predictive models and analytical solutions. • Help prepare datasets, engineer features, and support machine learning workflows. • Conduct exploratory data analysis and data mining using modern analytical techniques. • Assist with integrating and evaluating internal and external data sources. • Analyze model outputs and communicate insights that support business decisions. • Support efforts to improve data quality, governance, and collection processes. • Process, cleanse, and validate data used in reporting and analytics projects. • Perform ad-hoc analyses and present findings to team members in a clear and organized manner. • Collaborate with cross-functional teams to understand business challenges and identify opportunities for data-driven solutions.

Role Description Under supervision, work collaboratively with industry experts to uncover hidden insights that solve important and impactful real-world problems within a growing team of data specialists. Utilize advanced technology stacks to analyze complex datasets to build and deliver solutions to diverse problems. Carry out job functions within small, project oriented, multidisciplinary teams of Data Science professionals and support direct interaction with clients within the context of project progress meetings, design reviews, operations and project production and delivery. - Collect and organize data from many different sources, including structured and unstructured data. - Discover trends and patterns, combine various algorithms and modules. - Use machine learning tools to select features, create and optimize classifiers. - Work with team members and leaders to develop a data strategy. - Develop dashboards and other reporting tools to present data for decision makers. - May be assigned to unanticipated work locations throughout the United States. - Remote working or telecommuting permitted in all U.S. States, in accordance with company policy. - Relocation to within a reasonable commuting distance of the job opportunity is required. Qualifications - Bachelor’s degree or foreign degree equivalent in Engineering, Data Science, Computer Science, Mathematics, or statistics, or related field. Requirements - Four (4) years of experience in job offered, or in a related occupation. - Academic training or work experience in the following: - Scripting, Python, R software - Analyzing real-time and historical traffic information for various travel metrics - PTV Vissim and PTV Visum - Synchro - Microstation How to apply Submit resume via email to recruiter.na@atkinsrealis.com . Must include Ref# SDSFL-MV. Worker Type Employee Job Type Regular Company Description At AtkinsRéalis, we seek to hire individuals with diverse characteristics, backgrounds and perspectives. We strongly believe that world-class talent makes no distinctions based on gender, ethnic or national origin, sexual identity and orientation, age, religion or disability, but enriches itself through these differences.

Job Description Be a part of a company that is community focused, driven to improve our future and protect our freedom. BAE Systems is one of the world's largest leading multinational defense security and aerospace companies, with products and services covering air, land, and naval forces, as well as advanced electronics, security, information technology, and support services. Our vision is to be the premier international defense, aerospace, and security company. Our mission is to provide a vital advantage to help our customers protect what really matters: "We Protect Those Who Protect Us®". Because this role involves a combination of independent and collaborative work, this position can be conducted 100% Remotely. To be considered for this opportunity, the selected individual must be local to the Cedar Rapids area due to the occasional need for classified work to be performed. Relocation assistance is not available for this opportunity. This position is a non-technical role. Data Managers assist and support the Project team in planning, preparing, organizing, controlling, and submitting contractually required data, as well as manage the release and control of a wide variety of program related documentation. The work is guided by Data Management policies and procedures. This fast-paced role is vital to the performance of a program throughout its lifecycle. Essential Functions of a Data Manager are: - Follows systems necessary to ensure that assigned, required data is compiled, prepared, reviewed, approved, published, and submitted to or received from the customer in quality form, on time, and within budget. - Contributes to a configuration/data management plan, when required, to define and provide an integrated system for the analysis, planning, monitoring, storage and retrieval, status reporting, receipt, and submission of data required on a program. - Implements processes and procedures necessary for the generation of the data items and monitors adherence and quality to the CDRLs and DIDs. - Ensures the establishment, maintenance, and project level control of master files for all data in accordance with a Configuration/Data Management Plan. - Reviews all deliverable data for conformance to customer requirements and coordinates this effort with the preparing function. - Analyzes requirements of contractual data to establish and/or provide direction to preparing groups. - Establishes program milestone targets for each data element and develops methods/procedures of reporting progress against these milestones. - Maintains knowledge of Data Item Descriptions (DID), applicable MIL-STD, and Contract Data Requirement Lists (CDRLs). - Prepares reports/briefings for program management as required in fulfilling the role established for data management on the program. - Performs other duties and responsibilities as required. - Process, track, and manage engineering releases and changes of documentation and software according to project schedules, including the resolution of resource issues relative to the processing of document change orders. - Work with stakeholders to ensure timely review and validation of releases. - Responsible for distributing software media to internal and external customers. - Work with external customers to ensure that data is accurately and securely delivered - Maintains strict configuration control of engineering artifacts within enterprise control. Required Education, Experience, & Skills - Bachelors degree + 2 years Configuration Data Management equivalent experience - Ability to obtain a U.S. DoW Secret Clearance - Strong communication and organization skills - Working knowledge of Configuration Management/ Data Management Industry Standards Preferred Education, Experience, & Skills - 2+ years related work experience - Knowledge of Product Life Management systems and CDRLs, SDRLs - Strong communication skills and experience working with colleagues in various types of roles and departments - Active Secret clearance Pay Information Full-Time Salary Range: $72150 - $122655 Please note: This range is based on our market pay structures. However, individual salaries are determined by a variety of factors including, but not limited to: business considerations, local market conditions, and internal equity, as well as candidate qualifications, such as skills, education, and experience. Employee Benefits: At BAE Systems, we support our employees in all aspects of their life, including their health and financial well-being. Regular employees scheduled to work 20+ hours per week are offered: health, dental, and vision insurance; health savings accounts; a 401(k) savings plan; disability coverage; and life and accident insurance. We also have an employee assistance program, a legal plan, and other perks including discounts on things like home, auto, and pet insurance. Our leave programs include paid time off, paid holidays, as well as other types of leave, including paid parental, military, bereavement, and any applicable federal and state sick leave. Employees may participate in the company recognition program to receive monetary or non-monetary recognition awards. Other incentives may be available based on position level and/or job specifics. About BAE Systems Electronic Systems BAE Systems, Inc. is the U.S. subsidiary of BAE Systems plc, an international defense, aerospace and security company which delivers a full range of products and services for air, land and naval forces, as well as advanced electronics, security, information technology solutions and customer support services. Improving the future and protecting lives is an ambitious mission, but it's what we do at BAE Systems. Working here means using your passion and ingenuity where it counts - defending national security with breakthrough technology, superior products, and intelligence solutions. As you develop the latest technology and defend national security, you will continually hone your skills on a team-making a big impact on a global scale. At BAE Systems, you'll find a rewarding career that truly makes a difference. Electronic Systems (ES) is the global innovator behind BAE Systems' game-changing defense and commercial electronics. Exploiting every electron, we push the limits of what is possible, giving our customers the edge and our employees opportunities to change the world. Our products and capabilities can be found everywhere - from the depths of the ocean to the far reaches of space. At our core are more than 14,000 highly talented Electronic Systems employees with the brightest minds in the industry, we make an impact - for our customers and the communities we serve. This position will be posted for at least 5 calendar days. The posting will remain active until the position is filled, or a qualified pool of candidates is identified.

• Work at the intersection of Artificial Intelligence and Threat Research • Work closely with subject-matter experts in cybersecurity to understand analyst workflows and their security operations procedures • Post-train LLMs and agents — supervised fine-tuning and reinforcement learning (RLHF/RLAIF, PPO/GRPO/DPO, reward modeling) — to automate analyst procedures and improve reliability on real security tasks • Devise AI agents and combine them into increasingly complex workflows: planning and reasoning loops, tool and function calling, and retrieval and memory • Research new approaches to agentic planning, and prototype state-of-the-art methods from the literature • Establish objective criteria for benchmarking agentic systems — evals, LLM-as-judge pipelines, and trajectory-level metrics, with real statistical rigor • Optimize prompts and inference to get the most out of every model • Collaborate and coordinate across Engineering, Data Science, and Managed Services teams, and partner with engineers to take prototypes toward production • Keep track of developments in the field of Artificial Intelligence and help identify, define, and prioritize areas for research