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STV is seeking a SharePoint Business Analyst (Data & Automation Focus) to support digital transformation initiatives across transportation and infrastructure programs. The role is preferred to be based in the client office, where close collaboration with the client and project team is part of the day-to-day. For exceptional candidates, hybrid or remote arrangements may be considered. The Analyst will be responsible for configuring SharePoint, designing Excel templates, and developing Power Automate logic to improve business processes. The role also includes preparing end-user documentation, supporting workflow mapping and process redesign, and providing training materials and QA/QC oversight.The ideal candidate has strong skills in SharePoint and Microsoft 365 applications, is comfortable leading client-facing sessions, and can translate business needs into clear technical solutions . Experience with Power BI and advanced Power Automate is a plus but not required. Responsibilities SharePoint & Microsoft 365 solutions Configure SharePoint lists, libraries, views, and permissions. Design Excel templates that support data collection, reporting, and integration. Develop, test, and optimize Power Automate workflows. Perform QA/QC on templates, workflows, and SharePoint configurations. SharePoint Versions & Migration Hands-on experience with SharePoint 2016/2019, including site collection administration. Ability to manage and migrate legacy SharePoint content to SharePoint Online (using tools like ShareGate). Knowledge of feature differences between on-premises and cloud and governance considerations. Administration & Configuration Deep knowledge of permission models, groups, site templates, and content types across legacy and Online environments. Experience with central administration (for older versions). Strong understanding of metadata, taxonomy, and search configuration. Business Process & Workflow Support Lead workflow discovery and document current business processes. Support process redesign to improve efficiency and alignment with client goals. Create workflow diagrams and supporting reference materials. Training & End-User Support Develop training guides, reference documents, and quick-start materials. Deliver training sessions and provide hands-on support during UAT and rollout. Serve as the primary point of contact for SharePoint and workflow adoption. Experience training users transitioning from older versions to SharePoint Online. Ability to explain differences in UI, features, and capabilities between environments. Client engagement Facilitate client-facing sessions, including discovery workshops, design reviews, UAT, and training. Collaborate with program leadership and technical teams to align solutions with overall program objectives. Provide recommendations on best practices for document management and workflow automation. What You Bring: 5+ years of experience in SharePoint configuration, business analysis, data management. AEC industry experience is a plus. Bachelor's degree in a related field (e.g., Information Systems, Business, Computer Science, Engineering). Comprehensive knowledge of SharePoint Online and prior versions (2016/19), including administration, customization, and migration. Proficiency in SharePoint Online and Microsoft 365 tools, including Excel, Power Automate, Teams, Forms, Planner, and OneDrive for Business Familiarity with Power BI and data visualization concepts is appreciated but not required. Experience with workflow mapping, requirements gathering, and documentation. Strong communication skills with the ability to explain technical solutions to non-technical stakeholders. Ability to lead client-facing sessions and build trust with diverse teams. Comfortable working in dynamic, fast-paced, and client-facing environments. Adept at influencing, mentoring, and aligning multidisciplinary teams across geographies to achieve common goals. Excellent communication skills with the ability to present ideas clearly and effectively to senior leadership and external stakeholders. Willingness to travel as needed for client engagements, projects, workshops, and business development activities. Why Join Us? We’re relentlessly curious problem-solvers who believe digital transformation is about smarter, more efficient ways of working—not just new tools. Our team is passionate about leveraging technology to drive real impact on the infrastructure that connects our world. At STV, you’ll have the freedom to innovate, lead, and grow while working alongside fun, driven, and collaborative teammates. We move fast, embrace new ideas, and support each other—because that’s what makes us successful. If you love technology, strategy, and problem-solving, and want to help shape the future of digital transformation in AEC, we’d love to hear from you! Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At STV, we are fully committed to expanding our culture of diversity and inclusion, one that will reflect the clients we serve and the communities we work in, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description we encourage you to apply anyways. You may be just the right candidate for this or other roles. STV offers the following benefits • Health insurance, including an option with a Health Savings Account • Dental insurance • Vision insurance • Flexible Spending Accounts (Healthcare, Dependent Care and Transit and Parking where applicable) • Disability insurance • Life Insurance and Accidental Death & Dismemberment • 401(k) Plan • Retirement Counseling • Employee Assistance Program • Paid Time Off (16 days) • Paid Holidays (8 days) • Back-Up Dependent Care (up to 10 days per year) • Parental Leave (up to 80 hours) • Continuing Education Program • Professional Licensure and Society Memberships STV is committed to paying all of its employees in a fair, equitable, and transparent manner. The listed pay range is STV’s good-faith salary estimate for this position. Please note that the final salary offered for this position may be outside of this published range based on many factors, including but not limited to geography, education, experience, and/or certifications.

K2 Space is building large, high-powered spacecraft for the next generation of space development. Backed by Lightspeed Venture Partners, Altimeter Capital, and many others ($200M raised to date) , we intend to mass produce the highest-powered satellite platforms ever built for missions across LEO to Deep Space. The rise of launch vehicles like Falcon 9 and Starship enables the move from an era of mass constraint to one of mass abundance. We believe this new era requires spacecraft with a fundamentally different design in order to fully utilize the massive rockets coming to market. We’re a team that believes the future lies in building large, high-powered satellites that can handle multiple orbits. This is a necessity if we ever want to develop the solar system, and become a Kardashev Type II (K2) civilization. If you are a motivated individual who thrives in a fast-paced environment and you're excited about contributing to the success of a groundbreaking Series B space startup, we’d love for you to apply. The Role Our enterprise software team builds the digital backbone that powers K2 Space’s satellite design, manufacturing, and mission operations. We develop tools that connect engineering, production, and mission control into a seamless ecosystem — enabling our hardware to get from concept to orbit faster than ever before. We’re looking for engineers who are curious, collaborative, and driven to deliver mission-critical software that helps turn ambitious space projects into reality. Responsibilities Develop highly reliable data solutions used across K2 Space — from factory floors to mission control. Create and evolve data design that improve how we design, build, and operate our spacecraft. Partner closely with engineers, business partners, and leaders across disciplines to understand their challenges and design efficient solutions. Own data solutions from concept to full fledge product. Lead data architecture designs, drive data optimization, ensure data integrity and accuracy. Evaluate and make decisions regarding competing data design tradeoffs. Advocate, defend and convert other engineering leaders to your own solutions. Use data to drive prioritization of work and design of solutions to create the largest positive impact. Actively contribute to building a culture of transparency, empathy, integrity, and engineering excellence. Actively mentoring other staff members and help team members build good culture and engineering practices. Qualifications Bachelor's degree in computer science, information technology, mathematics or a STEM discipline or 12+ years of professional experience in software engineering. 8+ years of in-depth experience with structure databases such as MS SQL, PostgreSQL, Snowflake. 5+ years of in-depth experience with hosted database solutions such as AWS RDS, AWS PostgreSQL. 3+ years of working experience with CI/CD deployment. Working experience with Docker. Working experience with Kubernetes (prefer AWS EKS). 3+ years of experience with unstructured database such as NoSQL, Amazon DynamoDB, MongoDB or similar. Working experience with REST API. Strong working experience with data migration process, including data normalization, schema mapping, data serialization, data pipeline, ETL, real-time or near real-time data replication, data mirroring. Nice to Have Experience with distributed data designs such as caching, sharding, data validation. Experience with public cloud data warehouse solution. Experience with data designs for physical product manufacturing. Strong working experience with data analytic such as AWS Redshift. Compensation and Benefits: Base salary range for this role is $160,000 – $200,000 + equity in the company Salary will be based on several factors including, but not limited to: knowledge and skills, education, and experience level Comprehensive benefits package including unlimited paid time off, medical/dental/vision/ coverage, life insurance, paid parental leave, and many other perks If you don’t meet 100% of the preferred skills and experience, we encourage you to still apply! Building a spacecraft unlike any other requires a team unlike any other and non-traditional career twists and turns are encouraged! If you need a reasonable accommodation as part of your application for employment or interviews with us, please let us know. Export Compliance As defined in the ITAR, “U.S. Persons” include U.S. citizens, lawful permanent residents (i.e., Green Card holders), and certain protected individuals (e.g., refugees/asylees, American Samoans). Please consult with a knowledgeable advisor if you are unsure whether you are a “U.S. Person.” The person hired for this role will have access to information and items controlled by U.S. export control regulations, including the export control regulations outlined in the International Traffic in Arms Regulation (ITAR). The person hired for this role must therefore either be a “U.S. person” as defined by 22 C.F.R. § 120.15 or otherwise eligible for a federally issued export control license. Equal Opportunity K2 Space is an Equal Opportunity Employer; employment with K2 Space is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.

About the Role The Director of Audience Data Strategy leads the development and execution of qualitative and quantitative research to guide strategic decision-making. This role is also responsible for architecting and connecting first- and third-party data systems to enable a comprehensive view of current and prospective audiences, supporting Gap Inc.’s broader audience management strategy.Sitting within the Marketing Intelligence organization and reporting directly to the Senior Director of Audience Intelligence, you will be responsible for supporting all four of Gap Inc.’s brands by creating data-driven, audience-first strategies to drive best-in-class media and marketing execution. This role is a key part of a new approach for Gap Inc., and you will be tasked with integrating previously disparate efforts across the four brands to create a holistic understanding of each brand’s current and target audience. In this role, you will build a data strategy that enables cross-portfolio efficiency and avoids the pitfalls of audience cannibalization. You will collaborate with counterparts across Insights and Segmentation, in addition to working closely with Gap Inc’s brand teams, Product Management, Advanced Data Analytics, Media Shared Services organization, and Media agency partners. You will serve as the internal subject matter expert on Gap Inc.’s audience strategy, and drive impact across a highly matrixed organization leveraging strong business and communication aptitude. What You'll Do Develop and socialize the playbook around the full portfolio of Gap brands’ audiences and serve a strategic partner to the Media Shared Services and Brand teams during planning and activation processes Iterate and update audience strategies in collaboration with Channel Planning & Activation and Media agency partners to optimize and adjust strategy based on evolving audience dynamics Lead process of leveraging first- and third-party data sets to build target audiences that will optimize media effectiveness across Gap Inc.’s brands Collaborate with the MadTech product team and Gap Inc.’s data science teams to identify priorities for the roadmap and incorporate net new capabilities (e.g. scoring models and CDP) into the data strategy Act as key collaborator and resource for brands during planning process to build compelling audience strategy and provide a holistic view of overall portfolio strategy to ensure cohesion and harmony across brands Serve as Gap Inc.’s internal expert on crafting audience data strategy and supporting the Sr. Director of Audience Intelligence in effectively communicating trends and recommendations to the Media Shared Services organization, Marketing Intelligence function, and individual brand teams Partner with Media Agency partners and Digital and Tech to enable necessary data sharing and collaborative development of strategy built upon key insights across teams with a sophisticated approach to integration of owned data, third party audience data providers and Agency data Design operating model for Gap Inc.’s approach to data collaboration including ‘clean rooms’ to conduct advanced analyses with agency partners’, media platforms (e.g. Meta and Google), and other data partners Provide strategic and tactical support for media campaigns by identifying relevant audiences and ensuring implementation and delivery Collaborate across Audience Data team to bring together holistic strategy across Gap’s portfolio and enable successful campaigns Who You Are 8+ years marketing experience with 5+ years experience audience data strategy (data science, data engineering and adavanced analytics background is preferable). Particularly someone who -prefers to be in the consulting, project management/leadership side of data science or data engineering. 3+ years of experience managing teams, with a proven track record of collaborative leadership, team building, and managing individual contributors. Must be able to coach and train Senior Manager and below leaders with Data Sciennce or advanced analytics background Experience translating difficult data concepts into easy to understand executive format to share with C-suite leaders. Has the ability to negotiate with both internal stakeholders as well as contract negotiation with various data providers etc. Experience using data and insights from multiple sources to provide actionable recommendations Experience with Data Analysis and Manipulation Tools (Excel, Tableau, SQL, Snowflake, Google Analytics, Adobe Analytics) Experience with Audience segmentation and activation tools (DMP, CDP, Data Onboarders) Understanding of Customer Data Strategy concepts (1st/2nd/3rd party data, Data Privacy and Suppression, Segmentation) and latest regulatory developments (GDPR, CCPA, etc.) Experience with audience insights tools, such as Google Insights Finder, Resonate, etc. Experience in a highly complex, matrixed organizations with a proven track record of working cross-functionally to drive change Exceptional communication and influencing skills, with the ability to collaborate and drive consensus across multiple teams and functions Change agent and motivator, with the ability to build bottoms-up teams and approaches, and foster positive culture change at Gap Entrepreneurial spirit with the ability to work through ambiguity, transform enterprise-wide ways of working, and infuse strategic thinking across levels

Position Summary: Advancing data analytics and master data management (MDM) capabilities are at the core of our strategic vision to augment business decision-making by drawing meaningful insights from its data assets. We are implementing an ERP roadmap to modernize and consolidate to support vital business operations to understand the company’s performance, and opportunities. Our further plan is to strengthen data architecture, analytics, and MDM practices to harness the full value of its data assets. This pivotal role is crucial to ensuring data quality accuracy, security, and compliance of data. This role will be responsible for cultivating a culture of data stewardship and ownership across the enterprise, which will involve working with the stakeholders to gather requirements, and design and implement standardized data governance policies and procedures aimed at supporting data management and compliance initiatives. Principle Activities: Data Governance Collaborate with cross-functional teams such as data engineers, architects, technology leads, business analysts, and other cross-functional stakeholders to establish data quality standards, policies, procedures, data ownership, access control, and data definitions. Establish trust and relationships with stakeholders while defining data governance requirements, ensuring alignment with business goals. Develop and maintain a centralized metadata catalog, and dictionary to document data assets, schemas, and lineage of data being managed by our organization and third-party applications. Define data access policies and classify assets based on sensitivity, confidentiality, and regulatory requirements to ensure compliance with privacy regulations such as ITAR, CCPA, and GDPR. Implement data security, encryption, and access controls to protect sensitive data from unauthorized access or disclosure. Coordinate with legal and compliance teams on the proper classification of Data and its retention periods Ensure compliance with relevant data protection regulations and industry standards. Coordinate with the compliance team to ensure that the data in 3rd party applications is being maintained within our policies. Lead effort to cleanse data and maintain accuracy by implementing quality control guidelines and reconciliation process. Data Architecture and Strategy Work closely with business and IT teams to participate in the development of an overall Data analytics and AI strategy aligned with the business goals. Lead data architecture, data integration design, and data migration projects. Lead strategy to consolidate customer, product, inventory, and transactional data from different data on-prem and cloud data sources. Architect roadmap expansion of MDM, data analytics landscape. Data Quality Management Develop and implement data quality metrics, monitoring, quality assessments, and audit processes. Create reports and reconciliation processes on data quality and work with the business to improve data quality iteratively. Proactively identify data quality issues and work with relevant teams to resolve them. Work closely with cross-functional teams to ensure that business intelligence is performed through consistent data sources and calculations. Data Lifecycle Management Coordinate with Architects and Development teams to assist with managing data lifecycle processes, including data creation, maintenance, archival, and deletion. Ensure data is appropriately classified and protected based on its sensitivity and value. Coordinate closely with QA teams for non-production data refreshes and strategies Work on eliminating duplicate data in the current state and prevent the elimination of unneeded duplication of data in the future. Requirements Required Knowledge, Skills, and Abilities: Strategic thinker capable of assessing business goals and translating them into a data architecture roadmap. Proficient in data analytics, data quality management, governance, life cycle management, integration, and modeling concepts. Ability to analyze and interpret data to identify trends, patterns, and anomalies. Strong communication skills to collaborate with cross-functional teams, explain complex data concepts to non-technical stakeholders, and facilitate data-related discussions. Effective problem-solving skills to address data quality issues, data integration challenges, and data governance concerns. Meticulous attention to detail to ensure data accuracy, completeness, and consistency. Understanding of data privacy regulations (e.g., GDPR, CCPA) and compliance requirements. Ability to work collaboratively in a team environment and build positive relationships with stakeholders at all levels. Flexibility to adapt to evolving data management practices, technologies, and business requirements. Ability to work in a dynamic and ambiguous environment. Awareness of ethical considerations related to data stewardship, including data privacy, confidentiality, and security. Strong understanding of data governance frameworks, principles, and best practices. Experience & Education: A bachelor's degree in computer science, information technology, data management, statistics, mathematics, or a related field. Prior experience working in a customer data platform (CDP), and MDM platform such as Oracle, Epsilon, Informatica, etc. Previous experience in data management, governance, analysis, or related fields. 10+ years of experience working as a data architect, data engineer, data steward, or similar positions. 5+ years of experience with the data lake, Lambda architecture, and data architecture practice. 5+ years of experience working in data modeling, SQL DBMS, and related tools. 5+ years of experience in data governance and data quality management. Experience working with data management tools, data profiling tools, data quality tools, and data integration tools. Experience working with ERP products such as IFS, SAP etc. Certifications in Certified Data Management Professional (CDMP), Certified Information Management Professional (CIMP), or certifications in data governance or data quality management are preferred. ** May require International travel up to 10% CIRCOR is an EEO Employer of Females / Minorities / Veterans / Individuals with Disabilities #LI-JW1

Job Summary: The Data Analyst is responsible for ensuring the accuracy, integrity, and analysis of all RHF’s system data. This position plays a pivotal role in creating reports and dashboards, collaborating with various departments to address data needs, and supporting issue resolution alongside IT vendors and consultants. The Data Analyst also ensures compliance with RHF’s information security policies and maintains a strict commitment to confidentiality. We are currently seeking candidates who are local to Long Beach, CA, or Southern California residents who can reliably commute to our Long Beach office. Relocation assistance is not available for this position. Typical Duties and Responsibilities Dashboard Creation & Maintenance: Develop and manage dashboards to visualize key metrics and KPIs. Data Reconciliation: Establish procedures to ensure data integrity between imported/exported and source data. Collaboration on Financial Reporting: Work closely with internal teams to ensure accurate and reliable financial reporting. Ad Hoc Reporting: Create customized reports to support internal teams and management. Cross-Functional Collaboration: Partner with various departments to understand and fulfill their data requirements. System Integration Management: Design, maintain, and improve system integrations to streamline operations. Trend Analysis: Analyze complex datasets to identify trends and growth opportunities. Data Collection Improvement: Streamline data collection methods to enhance accuracy and integrity. System Efficiency & Protocol Development: Evaluate internal systems, address inefficiencies, and establish protocols for data handling and processing. Education and Experience Requirements Experience: Minimum 5 years of experience as a Data Analyst or similar role. Proven expertise with data analysis tools, including SQL and Python, or equivalent visualization software. Experience in financial reporting is required; familiarity with Oracle Cloud ERP/EPM is a plus. Education & Certifications: Bachelor’s Degree in Finance, Information Technology, Computer Science, or a related field. Certified Analytics Professional (CAP) certification is preferred. Technical Skills: Proficiency in Microsoft Office 365, with advanced Excel skills. Knowledge of system and information security, including data privacy concepts. Strong project management abilities. Soft Skills: Excellent analytical and problem-solving capabilities. Effective multitasking in a dynamic environment. Ability to communicate complex technical information to non-technical users. Compensation: Actual base salary considers several factors including but not limited to geography, job-related knowledge, experience, and budget. The start of the salary range is typically associated with the minimum experience required. The role is considered exempt, and will not be eligible for overtime pay in accordance with federal and state law. The anticipated base pay range for the position is $ 90,000 - $110,000 annual salary Benefits: Competitive pay Health, dental, and vision insurance Paid time off and holidays Retirement savings plan Employee assistance and more Term life and Voluntary supplemental life insurance Why RHF? At RHF, we are dedicated to making a meaningful difference in the lives of our residents. We strive to create vibrant communities where individuals can thrive, regardless of age or background. With over 50 years of experience in providing affordable housing and supportive services, RHF is a mission-driven organization that focuses on the well-being, independence, and dignity of every resident we serve. We offer a collaborative and supportive work environment, opportunities for professional growth, and a commitment to making a lasting impact in the communities we serve. Join us in our mission to create positive change and improve lives—because at RHF, we believe in making every day better for those who need it most.

Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level. Snowflake’s vision is to enable every organization to be data-driven. We’re at the forefront of innovation, helping customers realize the full potential of their data with our data cloud. We are now going beyond the traditional data warehouse and helping customers unlock the power of the open data lake house architecture with our Polaris project—an open-source implementation of the Iceberg REST catalog. As a Senior Software Engineer on the Polaris and Data Lake Catalog team, you’ll play a key role in building and evolving our open and interoperable data lake ecosystem. You’ll work on some of the most complex and exciting challenges in distributed systems, contributing to Snowflake’s mission of providing a truly open data lake architecture, free from vendor lock-in. AS A SENIOR SOFTWARE ENGINEER, YOU WILL: Design and implement scalable, distributed systems to enable support for Iceberg metadata management and query engine interoperability. Architect and build systems that integrate Snowflake queries with external Iceberg catalogs and various data lake architectures, enabling seamless interoperability across cloud providers. Develop high-performance, low-latency solutions for catalog federation, allowing customers to manage and query their data lake assets across multiple catalogs from a single interface. Collaborate with Snowflake’s open-source team and the Apache Iceberg community to contribute new features and enhance the Iceberg REST specification. Work on core data access control and governance features for Polaris, including fine-grained permissions such as row-level security, column masking, and multi-cloud federated access control. Contribute to our managed Polaris service, ensuring that external query engines like Spark and Trino can read from and write to Iceberg tables through Polaris in a way that’s decoupled from Snowflake’s core data platform. Build tooling and services that automate data lake table maintenance, including compaction, clustering, and data retention for enhanced query performance and efficiency. OUR IDEAL SENIOR SOFTWARE ENGINEER WILL HAVE: 8+ years of experience designing and building scalable, distributed systems. Strong programming skills in Java, Scala, or C++ with an emphasis on performance and reliability. Deep understanding of distributed transaction processing, concurrency control, and high-performance query engines. Experience with open-source data lake formats (e.g., Apache Iceberg, Parquet, Delta) and the challenges associated with multi-engine interoperability. Experience building cloud-native services and working with public cloud providers like AWS, Azure, or GCP. A passion for open-source software and community engagement, particularly in the data ecosystem. Familiarity with data governance, security, and access control models in distributed data systems. BONUS POINTS FOR EXPERIENCE WITH: Contributing to open-source projects, especially in the data infrastructure space. Designing or implementing REST APIs, particularly in the context of distributed systems. Managing large-scale data lakes or data catalogs in production environments. Working on highly-performant and scalable query engines such as Spark, Flink, or Trino. WHY JOIN THE POLARIS & DATA LAKE CATALOG TEAM AT SNOWFLAKE? Be part of a pioneering effort to build the most open and interoperable data lake ecosystem in the industry. Work on a high-impact open-source project that solves real-world data challenges for enterprise customers like Netflix, AWS, and others. Collaborate with some of the brightest minds in the data ecosystem, including core contributors to Apache Iceberg. Have the opportunity to innovate in one of the fastest-growing and evolving areas in data infrastructure, where you can make a direct impact on Snowflake’s growth and the broader open-source community. Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

Data Scientist, Mid The Opportunity: As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artifi cia l intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors—from fraud detection to cancer research to national intelligence—we need you to help find the answers in the data. On our team, you’ll use your analytical skills and data science knowledge to create real-world impact. You’ll work closely with your clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You’ll develop algorithms and systems and use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to help clients make informed decisions. Ultimately, you’ll provide a deep understanding of the data, what it all means, and how it can be used. Work with us as we use data science for good. Join us. The world can’t wait. You Have: 1+ year of experience in statistics, operations research, or advanced mathematics Experience with R or Python Experience with using scientific methods to inform qualitative and quantitative analyses Ability to work effectively in a collaborative and fast-paced environment TS/SCI clearance with a polygraph HS diploma or GED Nice If You Have: Experience with optimization, modeling and simulation, prediction, estimation, decision analysis, or engineering management Experience with analyzing large-scale datasets Experience with data gathering, cleansing, and parsing Experience with developing and applying optimization and simulation models Ability to work in Windows and Linux OS environments Bachelor's degree in Operations Research, Applied Mathematics, or Data Science Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance with polygraph is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Work Model Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility. If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

Come help us build the world’s best omni-channel software! Deposco is seeking a Data Scientist to join our Data Science team, focused on R&D innovation as well as internal operations. You will use your analytical expertise to create innovative solutions to supply chain and commerce execution, planning, and strategy problems. Working alongside our team of product managers and software developers, you will help design and deploy these solutions to the Deposco platform - affecting real value in our customers’ businesses. The right candidate will have a strong background in data science methods, an enthusiasm for problem-solving, self-motivation, and effective communication skills. What You'll Do: Formulate and prototype mathematical models and analyses that serve as the foundation for future products and modules. Collaborate with software engineers to integrate these models, engineer solutions to computational challenges, and ensure a successful deployment to the Deposco platform. Work with product owners to design product features enabled by data science methods. Support Business Development by analyzing how our solutions drive supply chain-enabled growth. What You'll Need: M.S. (Ph.D. preferred) in Operations Research, Machine Learning, Computer Science, Mathematics, or related mathematical science, or equivalent experience. Strong development skills in Python (additional experience in Java is a plus).Fluent with SQL and relational database concepts. Strong understanding of mathematical optimization methods (e.g. mixed-integer linear programming, convex optimization, dynamic programming, network flows).Strong understanding of stochastic processes and (Monte Carlo, discrete-event) simulation methods. Strong understanding of statistical learning (regression modeling) and AI methods (structural causal models, generative LLMs).Understanding of macroeconomics and supply chain concepts is a plus. Experience with data visualization tools, such as Domo or Tableau, is a plus. Excellent written and verbal communication. A sense of curiosity, self-motivation, and a love of learning. Perks Be part of an energetic team that is serious about delivering software to customers and cultivating our culture. We work awfully hard and are having a blast doing it. This team believes that what we are doing is a game-changer in the industry Coffee bar with cold brew on tap and a full time barista Standing desk (if you’re into that sort of thing) Corporate events including food trucks, Top Golf and other shenanigans Corporate office with co-working spaces, ping-pong tables, corn-hole boards, and Avalon around the corner Benefits package including health care, paid time off, life insurance, 401k plan (with match), and gym reimbursement Be part of a team recognized 5 years running as an AJC Top Workplace

Granica is an AI research and systems company building the infrastructure for a new kind of intelligence: one that is structured, efficient, and deeply integrated with data. Our systems operate at exabyte scale , processing petabytes of data each day for some of the world’s most prominent enterprises in finance, technology, and industry. These systems are already making a measurable difference in how global organizations use data to deploy AI safely and efficiently. We believe that the next generation of enterprise AI will not come from larger models but from more efficient data systems . By advancing the frontier of how data is represented, stored, and transformed, we aim to make large-scale intelligence creation sustainable and adaptive. Our long-term vision is Efficient Intelligence : AI that learns using fewer resources, generalizes from less data, and reasons through structure rather than scale. To reach that, we are first building the Foundational Data Systems that make structured AI possible. The Mission AI today is limited not only by model design but by the inefficiency of the data that feeds it. At scale, each redundant byte, each poorly organized dataset, and each inefficient data path slows progress and compounds into enormous cost, latency, and energy waste. Granica’s mission is to remove that inefficiency. We combine new research in information theory , probabilistic modeling , and distributed systems to design self-optimizing data infrastructure: systems that continuously improve how information is represented and used by AI. This engineering team partners closely with the Granica Research group led by Prof. Andrea Montanari (Stanford), bridging advances in information theory and learning efficiency with large-scale distributed systems. Together, we share a conviction that the next leap in AI will come from breakthroughs in efficient systems, not just larger models. What You’ll Build and Lead Lead a team of exceptional engineers building core systems across storage, compute, and metadata at planetary scale. Stay close to the code (roughly 30–40% hands-on) while guiding hiring, architecture, velocity, and execution. Translate research prototypes into hardened, scalable infrastructure used across petabyte-scale enterprise environments. Set technical direction through design reviews, RFCs, and principled trade-offs that balance performance, reliability, and maintainability. Establish engineering rigor: precise code quality standards, latency and reliability SLAs, and learning-focused postmortems. Scale the team through hiring, mentorship, and a culture of high trust, ownership, and continuous learning. Drive outcomes: measurable latency reduction, throughput improvements, and reliability at four-nines and above. Create autonomy through simple workflows that let small, high-agency teams ship fast. What You’ll Bring 7+ years in backend or infrastructure engineering, including 2+ years leading teams or large projects. Proven ability to build, scale, and mentor high-performing engineering teams in complex systems domains. Deep expertise in distributed compute frameworks ( Spark , Trino , Presto ) and columnar formats ( Parquet , ORC ). Familiarity with Iceberg , Delta Lake , or Hudi internals. Strong system design instincts and the ability to make and teach high-quality trade-offs. A bias for action and comfort balancing ambiguity with clarity, and architectural depth with rapid iteration. Commitment to clarity, technical excellence, and team growth. Passion for building foundational technology that reshapes how data powers AI at scale. Why Granica Fundamental Research Meets Enterprise Impact. Work at the intersection of science and engineering, turning foundational research into deployed systems serving enterprise workloads at exabyte scale. AI by Design. Build the infrastructure that defines how efficiently the world can create and apply intelligence. Real Ownership. Design primitives that will underpin the next decade of AI infrastructure. High-Trust Environment. Deep technical work, minimal bureaucracy, shared mission. Enduring Horizon. Backed by NEA, Bain Capital, and various luminaries from tech and business. We are building a generational company for decades, not quarters or a product cycle. Compensation & Benefits Competitive salary, meaningful equity, and substantial bonus for top performers Flexible time off plus comprehensive health coverage for you and your family Support for research, publication, and deep technical exploration Join us to build the foundational data systems that power the future of enterprise AI. At Granica, you will shape the fundamental infrastructure that makes intelligence itself efficient, structured, and enduring.

https://www.ardaninc.com/california-employee-and-job-application-privacy-notice/ Hybrid Role - must be able to commute to our Maitland, FL office Position Summary: In this position, you will play a crucial role in managing and optimizing our data processes within our emerging Data Warehouse/Data Lake environments. This position requires a strong foundation in ETL systems, SQL development, and a solid understanding of relational databases. You will work to ensure the efficiency and reliability of our data pipelines, contributing directly to the success of our projects. The ideal candidate will have a strong background in data analysis and data visualization with specific expertise in using SQL to transform and analyze data. You will work closely with stakeholders across the organization to deliver actionable insights and support data-driven decision-making. Essential Functions: Collaborate with data engineers, analysts, and other stakeholders with data flows, scripts, and models using SQL, SnapLogic, and other ETL systems, optimizing for performance and reliability throughout the organization. Assist in the development and testing of new features, models, or data processes within our data warehouses, leveraging feedback to drive continuous improvement. Document data processes, models, and workflows within our data warehouses for internal knowledge sharing and to support ongoing learning and development. Ensure integrity and quality of data throughout the entire data lifecycle, from ingestion to analysis, by implementing data validation and cleansing processes. Maintain security protocols and data governance practices to ensure compliance with organizational policies and industry regulations. Monitor performance and troubleshoot issues within ETL projects and related data environments. Create and maintain interactive dashboards and reports using SSRS, Power BI, or similar visualization tools. Ensure data quality and integrity by implementing best practices in data governance and validation. Education and Experience: Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related field. 3+ years of experience in a data engineering role, with a focus on SQL development (MS SQL Server experience preferred). Strong proficiency in relational databases and data querying techniques. Expertise in data modeling, ETL processes, and data integration techniques. Experience with using programmatic tools for data manipulation and analysis. Familiarity with cloud platforms such as Azure, AWS, or GCP. Knowledge of data visualization tools like Power BI, Tableau, or similar. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams Ability to learn quickly, be adaptable, flexible, and creative. Demonstrated capability to work well independently and as part of a team. Physical Demands Ability to safely and successfully perform the essential job functions consistent with the ADA, FMLA, and other federal, state, and local standards, including meeting qualitative and/or quantitative productivity standards. Ability to maintain reasonably regular, punctual attendance consistent with the ADA, FMLA, and other federal, state, and local standards. Must be able to sit, stand, stoop, or bend for an extended period (8 hours). Must be able to listen and speak clearly over the phone. Work Environment The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The noise level in the work environment is usually moderate. We offer some great perks: Health, dental, and vision benefits. Employer-paid disability and life insurance. Flexible spending accounts. 401K with company match. Paid time off and company-paid holidays. Wellness resources. Note: This job description is not intended to be an exhaustive list of duties, responsibilities, or qualifications associated with the job.

Avathon Government , a wholly owned subsidiary of Avathon, is a U.S. company based in Austin, TX. Avathon Government harnesses proven AI technology to bolster military readiness, improve decision advantage, and optimize defense operations. At Avathon Government, we partner with the armed forces to improve operational readiness through practical, AI-enabled solutions. Our programs focus on upskilling maintainers, enhancing supply chain visibility, and strengthening logistics and distribution efficiency using predictive intelligence powered by advanced machine learning models. We modernize the defense industrial base by maximizing capital equipment uptime, forecasting engine and component failures, and improving supplier quality control through technologies such as deep learning, natural language processing, generative AI, and computer vision. Our mission is ensuring warfighter readiness across a diverse set of missions. Are you ready to build the future of AI for national defense? Join our mission today! Avathon is looking for an experienced and innovative Data Engineer to join our team to help create the next generation of artificial intelligence solutions that will help our customers make well-informed decisions and support critical missions. At Avathon, you will immerse yourself in cutting-edge research and work with the latest technologies to deliver value in the Industrial IoT and Defense spaces. Responsibilities: Establish and execute best practices for data pipelines, supporting multiple products and aligning with several technology stacks Validate and prepare datasets to support analysis and modeling efforts Work closely with software engineers and data scientists to deliver cutting edge AI products and solutions to defense and commercial customers Operate in self-hosted, secure environments, handling sensitive information Required Qualifications: US Citizenship Required Fluency in Python and coding best practices Experience with multiple data storage technologies, including relational, document, and graph databases Experience supporting or delivering software in a production environment Experience contributing to a CI/CD pipeline and following Git practices (we use GitLab) Self-driven and comfortable seeking out problems to solve, recommending technologies and solutions and proactively engaging with peers to provide support and drive value Experience with agile methodology and workflow Preferred Qualifications: 3+ years' experience supporting AL/ML software solutions Hands-on experience with Elasticsearch & Postgres Hands-on experience with graph databases Knowledge of data pipeline frameworks like Apache Airflow, PySpark, Prefect, etc. Comfortable operating in a self-managed cloud environment (we use Azure) Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. Avathon Government is an equal opportunity employer, dedicated to diversity, equality, and inclusion, and provides equal employment opportunities to all employees and applicants for employment. Avathon Government prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-1.35(c)

Are you searching for an opportunity to take your career to the next level? Ignite Digital Services is a fast-growing digital transformation company serving the national security sector. Our small business applies data science, program management and technical domain expertise to help clients implement data-driven approaches that maximize operational efficiencies. We’ve redefined what it means to be a leader in our industry by creating and maintaining effective and rewarding working relationships with our clients, partners and internal team members. Our company culture is built upon a team-based approach, which offers continuous opportunities for personal growth and innovation, while providing unmatched value to our clients. Perks of Working at Ignite Digital Services: Competitive pay and benefits, including PTO Education stipends and referral bonuses Compelling work with the U.S. federal government Strong emphasis on volunteer and community engagement Opportunity to shape the future of our industry Supportive colleagues and management who invest in your growth As a Senior Data Engineer, you will be responsible for designing, implementing, and optimizing data systems and pipelines that support advanced AI/ML applications within a Navy IT command. You will collaborate closely with AI/ML engineers, and other technical teams to ensure the efficient and scalable processing of large volumes of data. This role will involve leveraging best practices in data engineering to create robust, high-performance data architectures, enabling the effective deployment of machine learning models and supporting mission-critical defense operations. You will also be involved in maintaining data quality, ensuring compliance with security protocols, and streamlining data workflows to meet the needs of the client's IT systems. Required Experience: 10+ years of relevant experience or Bachelor's degree and 7+ years of relevant experience or Master's degree and 5+ years of relevant experience in data engineering Ability to obtain DoD Secret clearance Desired Experience: Active DoD Secret Clearance Schedule: Hybrid 3-4 days a week onsite Salary: 125k+ to align with education and experience Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information. Ignite Digital Services is a Small Business committed to providing exceptional service to government agencies at competitive prices. The capabilities and experience of our staff and our extensive industry relationships distinguish Ignite Digital Services among government contractors. Equal Opportunity Employer/Veterans/Disabled For individuals who would like to request an accommodation, please visit https://bit.ly/2XqZoLM (CA) or https://bit.ly/3Eo922f (SC) or contact Human Resources. Ignite Digital Services will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal employment opportunity, employment eligibility requirements or related matters. Nor will Ignite Digital Services require, in a posting or otherwise, U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract. OFCCP'S Pay Transparency Rule EEO is the Law Poster

Elevate Your Career Work where your ideas have impact COMPANY Allspring Global Investments™ is a leading independent asset management firm that offers a broad range of investment products and solutions designed to help meet clients' goals. At Allspring, our vision is to inspire a new era of investing that pursues both financial returns and positive outcomes. With decades of trusted experience propelling us forward, we strive to build portfolios aimed at generating successful outcomes for our clients. We do this through the independence of thought that powers our investment strategies and by bringing a renewed approach to look around the corner to unlock what's possible. Allspring is a company committed to thoughtful investing, purposeful planning, and the desire to deliver outcomes that expand above and beyond financial gains. For more information, please visit  About Us - Allspring Global Investments . At Allspring, unique views inspire us. We leverage the diversity of people, ideas, and skills to help our clients pursue their financial goals. We strive to attract and retain a diverse talent pool that enables us to better serve our global client base. Intentionally fostering a diverse and inclusive culture allows us to empower innovation, productivity, and engagement. It’s also essential for elevating the experience of our clients as well as the communities in which we operate. Thank you for considering Allspring as you explore the next step in your career journey. POSITION Allspring is seeking a highly experienced and motivated Senior Analyst – Investment Data & Operations to lead and optimize our investment data operations. In this critical role, you will be responsible for ensuring the accuracy, completeness, and timeliness of our investment data, while also driving process improvements. We currently operate in a hybrid working model, whereby you will be required to work in-office 4 days a week. Location(s): Milwaukee, WI RESPONSIBILITIES Data Quality Leadership: Develop and implement comprehensive data quality frameworks, standards, and procedures across all investment data domains. Oversee data quality monitoring and validation processes, ensuring timely identification and resolution of data discrepancies. Lead root cause analysis of data issues and implement corrective actions to prevent recurrence. Establish and track key data quality metrics, reporting on data quality performance to senior management. Data Operations Optimization: Analyze existing data operations workflows and identify opportunities for automation, efficiency improvements, and risk mitigation. Implement process improvements and best practices to streamline data acquisition, processing, and distribution. Evaluate and recommend new data management tools and technologies to enhance operational efficiency and data quality. Stakeholder Collaboration: Collaborate effectively with various stakeholders, including portfolio managers, traders, risk managers, and technology teams, to understand their data needs and ensure data quality meets their requirements. Partner with teams to ensure adherence to data policies and standards. Investment Data Expertise: Maintain a deep understanding of investment data domains, including market data, security master data, portfolio holdings, transactions, and performance data. Stay abreast of industry best practices and regulatory requirements related to investment data management. CANDIDATE We are seeking a highly experienced and motivated Senior Data Operations Analyst with a proven track record in the investment management industry to lead and optimize our data quality and operational efficiency. This individual should possess strong analytical and problem-solving skills, advanced data manipulation expertise, and a deep understanding of investment data domains and workflows. QUALIFICATIONS Bachelor's degree in Finance, Economics, Computer Science, or a related field. 10+ years of experience in a data operations or data analysis role within the investment management industry. Proven track record of leading and mentoring teams. Strong understanding of financial instruments, investment management workflows, and data governance principles. Advanced proficiency in SQL and data manipulation tools (e.g., Python, R). Experience with data quality tools, data lineage tracking, and metadata management. Excellent analytical, problem-solving, and communication skills. Strong attention to detail, accuracy, and ability to work under pressure. Base Pay Range:  $160,000 - $190,000 Actual base salary may vary based upon, but not limited to, relevant experience, time in role, base salary internal peers, prior performance, business sector, and geographic location.  In addition to base salary, the competitive compensation package may include, depending on the role, participation in an incentive program linked to performance (for example, annual discretionary bonus programs, or other annual or non-annual incentive or sales plans.)  #LI-BA1 #LI-Hybrid We are an Equal Opportunity/Affirmative Action Employer. We consider all qualified applicants for employment regardless of age, race, color, national origin, sex, religion, veteran status, disability, sexual orientation, gender identity, or any other protected status.

Account Executive, CoStar Data & Analytics - Los Angeles, CA <br> Job Description <br> Who is CoStar Group? CoStar Group (NASDAQ: CSGP) is a leading global provider of commercial and residential real estate information, analytics, and online marketplaces. Included in the S&P 500 Index and the NASDAQ 100, CoStar Group is on a mission to digitize the world’s real estate, empowering all people to discover properties, insights and connections that improve their businesses and lives. We have been living and breathing the world of real estate information and online marketplaces for over 35 years, giving us the perspective to create truly unique and valuable offerings to our customers. We’ve continually refined, transformed and perfected our approach to our business, creating a language that has become standard in our industry, for our customers, and even our competitors. We continue that effort today and are always working to improve and drive innovation. This is how we deliver for our customers, our employees, and investors. By equipping the brightest minds with the best resources available, we provide an invaluable edge in real estate. Why CoStar? Proven Success : 90%+ average customer renewal rate and consistent 10%+ year-over-year growth. High Rewards : Competitive base salary with uncapped commissions, exceptional benefits, and exclusive incentives like our annual President’s Club retreat at a luxury destination for top performers. Career Development : Comprehensive onboarding and training experience with a clear path for growth, where top performers enjoy long-term career advancement. Innovative Tools : Access to industry-leading products that give you a competitive edge. Role Overview As an Account Executive, you will be responsible for selling new business while managing and growing your client portfolio through the value of CoStar products. This is a consultative role that empowers you to build relationships, engage new clients, and oversee the entire sales process from start to finish. Key Responsibilities Sell New Business: Identify and pursue new business opportunities by promoting the value of our product to the commercial real estate industry and beyond. Account Management: Effectively manage and expand your portfolio of clients, ensuring ongoing satisfaction and growth tailored solutions. #1 Commercial Real Estate Brand: Develop expertise in CoStar’s products and the commercial real estate market. End-to-End Sales Process: Leverage your expertise through the full sales cycle, including prospecting, product demonstrations, closing, onboarding, training, and renewing clients. Building Relationships: Conduct in-person meetings and deliver product demos to brokers, owners, corporations, investors, and other commercial real estate professionals. Brand Ambassador: Represent CoStar at industry events and cultivate long term relationships and a professional network. Basic Qualifications 3 + years of successful B2B outside sales experience required. Bachelor’s degree from an accredited not-for-profit University or College required. A track record of commitment to prior employers. Proven track record of exceeding sales targets. Experienced in client management and post-sale. Candidates must possess a current and valid driver’s license. Satisfactory completion of a Driving Record/Driving Abstract check prior to start. Preferred Qualifications 5 + years of successful outside sales experience in a B2B environment selling data, research, and analytic platforms or tools, commercial real estate, financial services, business intelligence, marketing, information providers, or related experience preferred. (Client-facing experience in the commercial real estate industry is strongly preferred.) Strong consultative selling skills with a proven ability to build rapport and trust with clients. A keen interest in the commercial real estate market and a willingness to develop expertise in CoStar’s product suite. Demonstrated success in managing client portfolios and driving revenue growth. Excellent communication, negotiation, and problem-solving abilities. A results-driven mindset with a focus on customer satisfaction and market knowledge. Ideal Traits of Our Account Executives Ambitious: Thrive in a competitive, fast-paced environment and are motivated by uncapped earning potential. Adaptable: Quick to learn and apply new concepts in a constantly evolving suite of products. Engaging: Excellent communicator with a client-focused approach, tailoring information to the relevant audience. Curious : Ask insightful questions, demonstrate strong listening skills, and are eager to learn from customers and colleagues. Customer-Centric: Provide valuable insights and take ownership of client requests, managing them to a successful outcome. What’s In It For You? If you are a driven professional looking for a high-growth, high-reward career, CoStar Group offers the ideal opportunity. Be part of a best-in-class company with strong year-over-year growth that invests in your success. Enjoy a rewarding atmosphere where you can learn, excel, and grow. When you join CoStar Group, you’ll experience a collaborative and innovative culture working alongside the best and brightest to empower our people and customers to succeed. We offer you generous compensation and performance-based incentives. CoStar Group also invests in your professional and academic growth with internal training and tuition reimbursement. Our benefits package includes (but is not limited to): Comprehensive healthcare coverage: Medical / Vision / Dental / Prescription Drug Life, legal, and supplementary insurance Virtual and in person mental health counseling services for individuals and family Commuter and parking benefits 401(K) retirement plan with matching contributions Employee stock purchase plan Paid time off Tuition reimbursement On-site fitness center and/or reimbursed fitness center membership costs (location dependent) Access to CoStar Group’s Diversity, Equity, & Inclusion Employee Resource Groups Complimentary gourmet coffee, tea, hot chocolate, fresh fruit, and other healthy snacks CoStar Group is an Equal Employment Opportunity Employer; we maintain a drug-free workplace and perform pre-employment substance abuse testing. Pay Transparency This position offers a base salary range of $70,000 - $80,000, based on relevant skills and experience, an uncapped/generous commission plan and generous benefits. Sponsorship We welcome all qualified candidates who are currently eligible to work full-time in the United States to apply. However, please note that CoStar Group is not able to provide visa sponsorship for this position. #LI-MM4 <br> CoStar Group is an Equal Employment Opportunity Employer; we maintain a drug-free workplace and perform pre-employment substance abuse testing

WHO WE ARE Consumer Reports is an independent, nonprofit organization dedicated to a fair and just marketplace for consumers. Our team is made up of truth tellers, change agents, and consumer advocates who investigate and build coalitions to fight for fairness and justice in the marketplace for consumers. We leverage our evidence-based approach to demand safer products, a healthier environment, and equitable services for everyone. Our mission starts with you. We offer medical benefits that start on your first day as a CR employee that include behavioral health coverage, family planning and a generous 401K match. Learn more about how CR advocates on behalf of our employees. OVERVIEW AT CR we know there’s more to testing cars than measuring how the rubber meets the road. In addition to testing 50 vehicles a year (driving them hundreds of thousands of miles), we also dig deep into the data--churing through reams of reliability and satisfaction surveys collected from our members, as well as external data, to supplement the analysis, evaluation and rating from our test drives. The information we share helps consumers make fully informed choices about the purchase and maintenance of their vehicles. The Automotive Data Analyst and Content Researcher will report to the Associate Director, Automotive Data Integration. In this position, you will oversee the collection, validation, and internal processes for the various auto vendor and CR survey and testing data. Working closely with other auto team members, you will apply your data management expertise to ensure that our auto data collection is consistent and our analysis is accurate. If you love data and all things automotive, we’d love to hear from you. This is an on-site position, based in Colchester, CT. This position is not eligible for relocation assistance or sponsorship. How You'll Make An Impact At CR, we test products and services so consumers can make informed decisions and use their buying power to help create a marketplace that puts them first. You’ll be an integral part of our mission as you maintain our auto database of information and inform our team of the latest developments in the automotive market. On a daily basis, you may: Partner with Auto Test engineers and technicians to translate individual tests to ratings. Collaborate with Data Engineering to assure the database is optimized for the auto test and publish program. Ensure the Model Year Vehicle data is updated to reflect the latest information for on-line articles and reports. Identify and map various external and internal data feeds to provide comprehensive data for consumers and clients. Maintain quality and integrity of data in the Cars Database. Identify trends from our extensive automotive data and outside sources and submit concise reports with data and graphics. Utilize AI and data visualization tools for understanding and presenting large datasets and information. Follow automotive news and changes in industry and individual models. Help identify which new vehicles should be tested or updated. Work with and support the Program Leader, Auto Data Analytics to process survey data and to provide insights and data for articles, videos, and social media. Assist the Associate Director in assessing new data needs and identifying the best methods to capture and incorporate in the database as well as report mechanisms. Update written road tests for publishing on the Consumer Reports website. ABOUT YOU You’ll Be Highly Rated If: You have the experience. You have at least 3-years of experience working in automotive data. You have the skills . You are proficient and have worked with Tableau, Python and SQL. You are data driven . You use data analysis, visualization and fundamentals to drive decisions and recommendations. You are a strong collaborator , able to partner with other stakeholders, including content and technology. You know the systems . You are comfortable with and proficient in Microsoft Office and Google Suite. You have a valid Driver’s License. You'll Be One of Our Top Picks If: You’ve worked with emerging technologies. You are familiar with machine learning and AI. FAIR PAY AND A JUST WORKPLACE At Consumer Reports, we are committed to fair, transparent pay and we strive to provide competitive, market-informed compensation.The target salary range for this position is $75K-$85K. It is anticipated that most qualified candidates will fall near the middle of this range.Compensation for the successful candidate will be informed by the candidate’s particular combination of knowledge, skills, competencies, and experience. Consumer Reports is an equal opportunity employer and does not discriminate in employment on the basis of actual or perceived race, color, creed, religion, age, national origin, ancestry, citizenship status, sex or gender (including pregnancy, childbirth, related medical conditions or lactation), gender identity and expression (including transgender status), sexual orientation, marital status, military service or veteran status, protected medical condition as defined by applicable state or local law, disability, genetic information, or any other basis protected by applicable federal, state or local laws. Consumer Reports will provide you with any reasonable assistance or accommodation for any part of the application and hiring process.

At Prologis, we don’t just lead the industry—we define it with a 1.3 billion square foot portfolio and an annual throughput of approximately $3.2 trillion. We create the intelligent infrastructure that powers global commerce, seamlessly connecting the digital and physical worlds. From agile supply chains to energy solutions, our ecosystems help your business move faster, operate smarter and grow sustainably. With unmatched scale, innovation and expertise, Prologis is a category of one—not just shaping the future of logistics but building what comes next. Job Title: Investment Associate, Data Center Transactions - East Region Company: Prologis A day in the life As an Investment Associate – Data Center Transactions, you will provide analytical and project management support to the Data Center Development Team for acquisitions, redevelopment, and development opportunities within the East region of the United States. You will play a critical role in translating strategic direction into actionable outcomes—ensuring the seamless advancement of acquisitions, redevelopments, and new developments across the data center portfolio. Key Responsibilities Collaborate with the Data Center Investment Officer to drive project flow by identifying and developing data center opportunities, including green-field land acquisition, development, and value-add redevelopments. Build and maintain key relationships with third-party vendors, including brokers, architects, contractors, and engineers, to facilitate the successful delivery of data center projects. Identify, present, and assess new investment opportunities within the data center sector, with an emphasis on capitalizing on emerging trends to deliver industry-leading returns. Lead the preparation of investment memos, feasibility studies, and other presentations for senior management and the Investment Committee. Evaluate the value and potential of data center investments or speculative development projects by creating and analyzing discounted cash flow models and proforma models. Manage and maintain proforma models for existing and future land banks designated for data center development. Building Blocks for Success Required: 3+ years of relevant experience, preferably in the real estate or construction industry, with a focus on development, finance, or project management, particularly within the data center or industrial sectors. Strong knowledge of financial and real estate concepts, such as net present values, internal rates of return, and cap rates, as well as the ability to create and modify cash flow models using Argus and Microsoft Excel. Experience in analyzing, interpreting, and creating real estate and construction documents, including but not limited to LOIs, RFPs, property offering memorandums, market reports, and contracts. Ability to travel up to 25% domestically. Preferred: Bachelor’s degree in Real Estate, Finance, Civil Engineering, Construction Management, or Economics; advanced degree a plus. Familiarity with enterprise software platforms such as Yardi, Salesforce, PeopleSoft, and real estate research databases. Knowledge of data center development considerations, including power and cooling infrastructure, sustainability standards, and client operational needs. Highly organized, detail-oriented, and capable of managing multiple concurrent projects and deadlines. Strong interpersonal and communication skills; able to effectively support cross-functional teams and represent initiatives to external stakeholders. Hiring Salary Range of: $101,000 - $126,000. Salary and whole compensation package (bonus target) to be determined by the candidate’s location, education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data. #LI-TA1 People First Each of us working at Prologis plays an essential role in the enduring success of our company. We value people who are decisive, courageous and adaptable. While we are one company, locations and departments operate with autonomy and accountability. Individuals take the initiative here. When you join Prologis, you work shoulder to shoulder with some of the top talent in the industry to do the best work of your career. Every employee belongs. Every employee contributes. Employees advance their careers here. As a successful global enterprise, Prologis has never lost sight of what matters most, our strong belief that our people are the most important part of our business. And because of that, we provide a generous total rewards package and take a lot of time to focus on quality management and leadership development. People come first here. All full-time roles in the US come with a robust benefits package which includes healthcare, dental, and vision insurance for employees and eligible dependents. Prologis also offers several other wellness, financial, and work/lifestyle-specific benefits. Our 401(k) retirement plan has a company match of 50% up to 12% of eligible compensation. We also offer generous PTO with a starting accrual of 22 days a year in addition to paid holidays and volunteer time. All job offers are contingent upon successful completion of background verification. Prologis is an Equal Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religions, sex, national origin, sexual orientation, gender identity, disability status, protected veteran status, or any other characteristic protected by law. Employment Type: Full time Location: Baltimore-Columbia Office Additional Locations: Atlanta, Georgia, Columbia, Maryland

Human Resources – Virginia Beach, VA Our Human Resources team at The Christian Broadcasting Network (CBN) is looking for a HRIS Data & Records Coordinator to help drive efficiency, accuracy, and insights across our HR operations. Qualified applicants will be highly organized and detail-oriented, coordinating HRIS data changes, maintaining personnel records, and creating ad-hoc reports. Serving in this position facilitates ministry activities and contributes to CBN’s Biblical mission to advance the Gospel of Jesus Christ worldwide. The successful candidate will have the following qualifications: Hands-on experience in HR data reporting with a solid understanding of ad-hoc reporting HRIS data management, and record-keeping practices Expertise in HRIS systems and proficiency with Microsoft Office tools, with a quick ability to learn new technology and systems Strong critical thinking and analytical abilities to identify issues assess solutions, and deliver results Exceptional time management and organizational skills with the ability to prioritize and multi-task in a fast-paced environment Attention to detail for accurate data entry and the ability to proofread and ensure error-free work Excellent verbal and written communication skills with ability to engage with staff at all levels Strong ability to adapt quickly to new systems, processes, and procedures, contributing to a smooth workflow within the team A self-motivated approach, thriving both independently and within a collaborative, small team environment A high level of interpersonal skills, able to build rapport with staff, management, and external stakeholders Discretion and confidentiality, especially when handling sensitive HR data Flexibility and a resilient mindset to work under pressure, embrace change, and consistently meet deadlines Demonstrated life application of Biblical principles and practices in alignment with CBN’s nonprofit Christian mission Ability to work on-site in the Virginia Beach office Monday through Friday CBN is a global nonprofit ministry demonstrating the love of God by sharing the Gospel through digital content, traditional media, and humanitarian aid. CBN offers a professional and rewarding work environment, competitive salary, and benefits package to include healthcare for full-time positions. If you meet the listed qualifications and are in agreement with CBN’s mission and purpose, please click apply or visit our CBN Job Board at www.cbn.com for application and benefit information. We are unable to give full consideration to resumes without applications.

Hadrian — Manufacturing the Future Hadrian is building autonomous factories that help aerospace and defense companies manufacture rockets, satellites, jets, and ships up to 10x faster and up to 2x cheaper. By combining advanced software, robotics, and full-stack manufacturing, we are reinventing how America produces its most critical parts. We recently raised $260 million dollar Series C to accelerate this mission. We are excited to be launching a new Factory in Mesa, Arizona, a 270,000 square foot facility that will create 350 new jobs immediately. We are opening a new headquarters to support thousands of future hires, launching Hadrian Maritime to serve naval production, and introducing a Factory-as-a-Service model that delivers complete systems instead of individual parts. Hadrian works with startups, Tier 1 and Tier 2 suppliers, and major defense contractors across space, shipbuilding, and aviation to scale production, reduce costs, and accelerate delivery on mission-critical programs. We are backed by leading investors including Lux Capital, Founders Fund, and Andreessen Horowitz. Our fast-growing team is united by a shared mission to reindustrialize American manufacturing for the 21st century and beyond! The Role You will transform manufacturing operations through predictive analytics at Hadrian. As our Manufacturing Analytics Data Scientist, you'll build forecasting models that predict everything from cycle times to tool failures. Working with limited but high-quality data, you'll develop innovative approaches to predict queue dynamics, optimize inventory levels, and forecast demand in the complex world of aerospace manufacturing. Your models will directly impact on-time delivery, reduce waste, and enable proactive decision-making across our factories. What You'll Do Develop cycle time prediction models accounting for part complexity and operator variability. Build queue forecasting systems to predict bottlenecks before they occur. Create tool life prediction models using sensor data and usage patterns. Design inventory forecasting models balancing holding costs with stockout risks. Implement demand forecasting for high-mix, low-volume aerospace parts. Develop anomaly detection for quality issues and equipment failures. Build hierarchical forecasting models for multi-level BOM structures. Create simulation models to validate forecasting approaches. Design experiments to improve model accuracy with limited data. Implement real-time monitoring dashboards with predictive alerts. Develop APIs for model deployment and integration. Create feedback loops to continuously improve predictions. Document methodologies and train operations teams. Collaborate with engineers to understand data generation processes. Present insights and recommendations to leadership. What We're Looking For Strong foundation in time series analysis and forecasting. Experience with manufacturing or operations analytics. Proficiency in Python and statistical programming. Understanding of uncertainty quantification and prediction intervals. Experience working with limited, high-value data. Knowledge of survival analysis and reliability modeling. Ability to build models that work with sparse data. Strong visualization and communication skills. Experience with real-time analytics and streaming data. Understanding of causal inference and confounding. Ability to design meaningful experiments. Experience deploying models to production. Domain knowledge in manufacturing or supply chain. Collaborative mindset and business acumen. Compensation For this role, the target salary range is $160,000 - $240,000 (actual range may vary based on experience). This is the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. An employee's pay position within the salary range will be based on several factors, including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs. Benefits 100% coverage of medical, dental, vision, and life insurance plans for employees 401k Relocation stipend if you’re moving from outside of LA Flexible vacation policy ITAR Requirements To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here . Hadrian Is An Equal Opportunity Employer It is the Company’s policy to provide equal employment opportunity for all applicants and employees. The Company does not unlawfully discriminate on the basis of race inclusive of traits historically associated with race (including, but not limited to, hair texture and protective hairstyles, such as braids, locks and twists), color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, transgender status, national origin (including, in California, possession of a drivers license), ancestry, citizenship, age, physical or mental disability, height or weight, medical condition, family care status, military or veteran status, marital status, domestic partner status, sexual orientation, genetic information, exercise of reproductive rights, any other basis protected by local, state, or federal laws, or any combination of the above characteristics. When necessary, the Company also makes reasonable accommodations for disabled candidates and employees, including for candidates or employees who are disabled by pregnancy, childbirth, or related medical conditions.

Job Description: DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business — today and in the future. Job Description The Data Scientist role in the Customer Engineering team plays a pivotal role at the intersection of AI/ML engineering, solution development, and go-to-market strategy. We are looking for an experienced data scientist who excels in hands-on problem-solving, can lead technical initiatives, and can serve as a trusted advisor to both internal teams and customers.Your work will focus on designing, developing, and delivering production-ready AI solutions that accelerate customer adoption of the DataRobot platform, with a particular focus on SAP workflows.Beyond solution development, you will work directly with clients in various industries as the DataRobot product and data science subject matter expert.This role is ideal for a motivated data scientist with proven experience who wants to work hands-on with Python, pandas, and modern AI tooling while making a significant impact on customer success and AI adoption. If you thrive in a fast-paced, highly autonomous environment and want to build AI solutions that truly scale, we'd love to hear from you! Key Responsibilities: Design and develop sophisticated, production-ready assets that accelerate AI/ML adoption for customers, ranging from reusable solution templates to deployable frameworks. Lead the implementation of AI/ML workflows using Python, pandas, and modern AI tooling, ensuring they are scalable, maintainable, and customer-ready. Establish and champion engineering best practices to improve performance, scalability, and maintainability of AI/ML solutions. Work within existing infrastructure to support scalable AI deployments, including CI/CD automation, API integrations, and containerized environments (Docker, Kubernetes). Create comprehensive testing strategies and implement automated tests for AI/ML workflows. Lead cross-functional collaboration with product, sales, and marketing teams to scale high-impact solutions. Address complex real-world deployment challenges, including monitoring, logging, and improving reliability in AI/ML workflows. Serve as a technical liaison in customer engagements, representing the DataRobot product to various personas from data scientists to C-level executives. Lead proof of value processes and quantify the business impact of DataRobot solutions. Ensure the success of our customers by collaborating with business stakeholders to ensure that AI solutions deliver successful business outcomes Stay ahead of industry trends, continuously refining our approaches and advocating for best practices in AI/ML engineering. Work closely with enablement teams to develop documentation, content, and training materials that scale adoption of our solutions. What this Role is Not: A SWAT demo team - while you will be customer-facing, this role is about building reusable solutions, not one-off demos. A technical marketing role - you'll collaborate with marketing but won't be driving content strategy. A pure research role - we need hands-on builders who can ship working solutions that make an impact. Knowledge, Skills and Abilities: Strong Python ecosystem expertise with the ability to design, develop, and troubleshoot complex ML workflows using libraries like pandas, NumPy, scikit-learn, and web server tools like FastAPI. 3-5 years of experience in data science, machine learning, or AI development with a proven track record of delivering production solutions. Experience with ML model development, deployment, and evaluation. You should be comfortable leading data-to-insights projects and optimizing predictive models. Strong data engineering capabilities, including working with structured/unstructured data, feature engineering, and optimizing ML pipelines. Proficiency in writing efficient, maintainable, and well-structured code, with an emphasis on reusability, scalability, and production readiness. Experience with software engineering best practices, including containerization (Docker), CI/CD automation, and cloud-based ML deployment. Experience with APIs, SDK development, or ML platform integrations. Proven experience in consultative sales processes in the data/analytics marketplace, with the ability to translate complex technical concepts into business value. Excellent communication skills, with the ability to influence stakeholders at various technical and business levels. Self-motivated, driven, and eager to take on challenges. We're looking for someone who thrives in a fast-moving, high-growth, and high-autonomy environment. Nice to Have: Experience with SAP workflows and integration points Experience with cloud platforms (AWS, Azure, GCP) for AI/ML deployment Strong knowledge of automated testing and test-driven development Familiarity with generative AI solutions like RAG, finetuning, etc. Experience with DataRobot platform or similar enterprise AI platforms Masters' degree in Data Science, Computer Science, or related field Experience presenting at conferences or creating technical content Why Join Us? Hands-on, high-impact work - you'll be building real, production-ready AI solutions that customers actually use. Small, elite team with direct influence - you'll work closely with product, engineering, and go-to-market teams to shape AI adoption strategies. Fast learning environment - we invest in our people, providing opportunities to grow and expand your skills. Clear career trajectory - whether you want to specialize in data science, transition into engineering, or take on leadership, we'll help you get there. Work on cutting-edge AI solutions that have real-world impact and are used by enterprises worldwide. This is a unique opportunity to build AI applications, ensuring that data scientists and developers can seamlessly create, customize, and deploy AI solutions at scale. If you're passionate about impacting the future of AI adoption, we'd love to hear from you. The talent and dedication of our employees are at the core of DataRobot’s journey to be an iconic company. We strive to attract and retain the best talent by providing competitive pay and benefits with our employees’ well-being at the core. Here’s what your benefits package may include depending on your location and local legal requirements: Medical, Dental & Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more! DataRobot Operating Principles: Wow Our Customers Set High Standards Be Better Than Yesterday Be Rigorous Assume Positive Intent Have the Tough Conversations Be Better Together Debate, Decide, Commit Deliver Results Overcommunicate Research shows that many women only apply to jobs when they meet 100% of the qualifications while many men apply to jobs when they meet 60%. At DataRobot we encourage ALL candidates, especially women, people of color, LGBTQ+ identifying people, differently abled, and other people from marginalized groups to apply to our jobs, even if you do not check every box. We’d love to have a conversation with you and see if you might be a great fit. DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please see the United States Department of Labor’s EEO poster and EEO poster supplement for additional information. All applicant data submitted is handled in accordance with our Applicant Privacy Policy .