Supporting execution of the Innovation team’s strategic plan across sectors, tracking priorities and deliverables, and driving projects to completion
Producing materials and communications for stakeholders across Real Estate and for senior leadership, including updates, presentations and training content
Developing deep expertise in how key Real Estate workflows are run today, including underwriting, valuations and forecasting processes, and using that knowledge to identify what should be standardized, automated or eliminated
Becoming a subject matter expert in the firm’s existing proprietary tools and platforms and serving as a first point of contact for Real Estate users, maintaining and troubleshooting those systems where relevant
Leading AI training sessions for the broader Real Estate team and raising AI literacy and adoption across the business
The AVP Security Engineer is responsible for providing SIEM, automation, and security platform engineering support, participating in Tier 3 security investigations.
Compensation
Expected annual base salary range: $106,000 - $170,000
Responsibilities
Designing and customizing complex SIEM search queries, dashboards, and promoting advance searching, forensics, and analytics
Design and develop SOAR automations to support response and investigation workflows
Developing and documenting configuration standards, policies, and procedures for operating security / SIEM platforms
Perform as technical lead in the development and delivery of custom content, system integration, and event reporting
Leverage infrastructure-as-code frameworks to provision and maintain cloud resources (Terraform)
Requirements
B.S. in Computer Science or Engineering or similar technical program
Nice to have: experience implementing / managing security platforms used in a SOC environment
Experience working with relational databases utilizing SQL
Experience with Crystal Reports, Excel, Minitab, SPSS, Business Objects, Tableau and others as necessary
Experience with a data manipulation and analysis programming language (R, Python, etc.) is a plus
Ability to use and access data via EMR and other internal software/systems
Able to write SQL queries to extract and manipulate data to achieve desired results using select statements, sub-queries, views, links of multiple tables, etc.
Requirements
Bachelor’s degree in analytics, computer science, engineering, public health, or related field
Provide day‑to‑day support for analytical projects and reports addressing organizational strategic imperatives and system‑wide models for delivering health care.
Responsibilities
Support analytical projects and reports for quality, utilization, regulatory, operations and performance improvement initiatives
Develop and maintain data‑driven tools and dashboards
Validate data and conduct analysis for population health and research
Assist junior analysts with reporting products
Collaborate with clinical and business units to improve quality outcomes
Requirements
Bachelor’s degree in analytics, computer science, engineering, public health, or related field
Master’s degree in public health, Healthcare Administration or other healthcare related field
Nice to have: Certified Professional of Healthcare Quality (CPHQ)
Nice to have: Certified Health Data Analyst (CHDA)
Nice to have: Master’s degree in public health or Healthcare Administration
A Senior Data Scientist responsible for developing and implementing statistical, predictive, optimization, machine learning, and AI solutions to address business and design challenges, driving end-to-end project ownership.
Compensation
Compensation for this role is based upon experience, qualifications, location, and education and typically ranges from $140,000 to $160,000.
Responsibilities
Develop and implement statistical, predictive, optimization, machine learning, and AI solutions that address meaningful business and design challenges.
Independently drive data science projects from problem discovery and data exploration through modeling, validation, deployment, and adoption.
Define scope, identify risks and dependencies, and break ambiguous problems into concrete deliverables.
Build, validate, and evaluate predictive and statistical models using rigorous analytical methods.
Develop analytical and machine learning solutions with production use in mind, including reproducibility, testing, versioning, deployment, and maintainability.
Requirements
Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering or related quantitative field
The Blue Yonder Enterprise Technical Architect (Planning) is responsible for services delivery of product implementation and related integration, providing hands-on support to the Professional Services team and leading technical teams on delivery initiatives.
Responsibilities
Lead and mentor team of technical associates on Solution implementation, enhancement, managed services, integration, and custom projects.
Estimate the workload of implementation activities, assess business needs, and evaluate integration complexity and architecture.
Own initiatives for the technical planning team and contribute towards complex customer assessment and sales cycle.
Collaborate with Global Team/Partners and Customers or internal stakeholders.
Conduct technical analysis sessions to understand functional and technical customer needs and develop technical solutions.
Requirements
Bachelor’s degree
Master’s degree
Nice to have: Enterprise Architecture frameworks certifications
Join our Advanced Algorithm team as a Summer Intern and contribute to cutting‑edge research in metrology technologies, investigating and characterizing next‑generation solutions, collecting data, analyzing results, and automating workflows.
Compensation
Base Pay Range: $58.00 - $58.00 per hour based on pursuit of a Ph.D.
Responsibilities
Innovate next‑generation electromagnetic solvers and implement them on high‑performance computing (HPC) platforms.
Explore machine learning techniques to accelerate electromagnetic solvers.
Requirements
Currently pursuing a Ph.D. in Physics, Mathematics, Computer Science, Electrical Engineering, or a related field.
Nice to have: machine learning for image processing or image denoising
The Agricultural and Food Policy Center (AFPC) seeks a Postdoctoral Research Associate to work on food security, nutrition security, hunger, and domestic food policy using econometric and causal inference methods.
Compensation
Salary: $66,000-$71,000 annually, commensurate with the candidate’s experience and qualifications.
Responsibilities
Conducts research on food and nutrition security and hunger in the United States.
Evaluates food assistance programs and food policies using applied econometric and causal inference methods.
Cleans and analyzes large transaction-level data and household survey data.
Designs survey instruments and prepares IRB applications for data collection.
Writes and contributes to research papers and policy briefs.
Requirements
Ph.D. in Agricultural Economics
Nice to have: U.S. domestic food policy
Nice to have: large transaction-level data (Circana, NielsenIQ)