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Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what’s happening now and shape what’s coming next. Vantor is a place for problem solvers, changemakers, and go-getters—where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can: Shape your own future, build the next big thing, and change the world. To be eligible for this position, you must be a U.S. Person , defined as a U.S. citizen, permanent resident, Asylee, or Refugee. Note on Cleared Roles: If this position requires an active U.S. Government security clearance, applicants who do not currently hold the required clearance will not be eligible for consideration. Employment for cleared roles is contingent upon verification of clearance status. Export Control/ITAR: Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3). Please review the job details below. This position requires an active U.S. Government Security Clearance at the TS/SCI level with an in-scope CI poly . We're hiring multiple Data Scientists to join our team. In this position you will use your expertise to support the research, development, and implementation of advanced analytical methodologies and techniques that leverage artificial intelligence, machine learning, and data science approaches. Data Scientists will support a forward-leaning defense intelligence program focused on enhancing analytic rigor, efficiency, and predictive capability across a broad mission set. This includes support to Object-Based Intelligence (OBI) production, structured analytic method augmentation, and automation of analytic workflows. Data Scientists will collaborate with analysts, methodologists, and technologists to research, develop, and implement advanced methodologies that leverage artificial intelligence, machine learning, and statistical modeling to solve complex intelligence problems. Responsibilities: A day in the life/What the position will be doing: Work in tandem with analysts to figure out methods to solve their challenges with complex data sets, pattern identification, and visualizations. Perform research and implement forward-looking analytic methodologies that leverage statistical techniques and pattern recognition. Assist analysts in developing structured approaches to predictive intelligence that increase timeliness and accuracy of assessments. Expand existing Natural Language Processing (NLP) to include new entities and improved visualization. Research and implement approaches that enhance analytical tradecraft (support critical thinking, mitigate biases, increase analytic rigor). Research and implement advanced analytic methodologies that enhance tradecraft, mitigate bias, and improve analytic efficiency. Support the automation of structured analytic methods and workflows to increase repeatability and scalability of intelligence production. Contribute to the development and integration of semantic technologies, including ontologies and knowledge graphs, to support OBI standards. Design and build visualizations and dashboards that communicate complex data insights to technical and non-technical audiences. Evaluate and optimize analytic performance using qualitative and quantitative metrics. Minimum Qualifications: Must be a US citizen and have an active TS/SCI with CI poly. 8 years of experience and an advanced degree. Experience with Git and software development workflows. Demonstrated experience with Python, R, and SQL, including programmatic access to web services, data management, and visualization. Demonstrated experience with statistical analysis and data mining algorithms. Possesses knowledge and experience with artificial intelligence (AI), advanced analytics, cloud architecture, and data storage. Preferred Qualifications: Polished oral and written communication skills sufficient to compose, tailor, and deliver original presentations and papers on abstract concepts. Familiarity with graph databases or graph data structures. Ability to lead multi-disciplinary teams to complete complex data science projects. Experience with AWS or similar cloud provider. Demonstrated experience in solving problems with structured and unstructured data. Experienced in applying statistical and data visualization skills. Strong problem-solving skills to manipulate data and draw insights from large data sets. Proven ability to learn and master new software, technologies and techniques. Familiarity with generative AI and large language models (LLMs) and their strengths and weaknesses when applied to intelligence requirements. Experience in two or more of the following: Machine Learning, Natural Language Processing, Apache Spark, Hadoop, R, C++, SQL Database/Coding, or visualization tools such as Tableau. Pay Transparency: In support of pay transparency at Vantor, we disclose salary ranges on all U.S. job postings. The successful candidate’s starting pay will fall within the salary range provided below and is determined based on job-related factors, including, but not limited to, the experience, qualifications, knowledge, skills, geographic work location, and market conditions. Candidates with the minimum necessary experience, qualifications, knowledge, and skillsets for the position should not expect to receive the upper end of the pay range. ● The pay for this position within the Washington, DC metropolitan area is: $113,000.00 - $188,000.00 annually. For all other states, we use geographic cost of labor as an input to develop market-driven ranges for our roles, and as such, each location where we hire may have a different range. Benefits: Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life. You can find more information on our benefits at: https://www.Vantor.com/careers The application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire. If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire. The date of posting can be found on Vantor's Career page at the top of each job posting. To apply, submit your application via Vantor's Career page. EEO Policy: Vantor is an equal opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law.

StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we’re here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world. We are seeking a talented Senior Data Engineer to join StubHub's Data team. In this role you will be responsible for designing and building the underlying systems and pipelines for centralizing StubHub’s internal plus third-party data. Our team's goal is to empower organizations across the company to transform data for analysis and reporting, new product development, experimentation, and machine learning. This includes developing the core infrastructure for the data lake and data warehouse, creating foundational data models and data pipelines, and building shared tooling to ease the process of creating high-quality, trustworthy data assets. As a Senior Data Engineer on the Data Platform team, you will contribute to core infrastructure, frameworks, and analytical data layers. You will also play a key role in defining the culture and expectations of what great data engineering looks like, and mentoring others on the team to reach that bar. We are looking for the right person that is passionate about the power of both data and software development fundamentals, and can use them in tandem to create a data ecosystem that is principled, maintainable, and extensible to the hypergrowth happening at StubHub.You will specialize in one or more business domains, building deep expertise and anticipating the needs of that business vertical. Location: Hybrid (3 days in office/2 days remote) – New York, NY or Santa Monica, CA What You'll Do: Build and operate scalable data pipelines with robust QA, monitoring, and alerting Create shared tooling to improve data practitioner (data engineering, analytics engineering, data science) productivity and quality across the company Influence the direction for key infrastructure and framework choices for data pipelining and data management Contribute to core cross-functional data models Launch data platform features that have immediate impact on the velocity of innovation and ultimately growth of the business Manage individual initiatives—Setting priorities, deadlines, and deliverables based on your technical expertise Foster a culture of inclusion, results-oriented execution, open innovation, and limitless creativity in your team Specialize in one or more business domains, building deep expertise and anticipating the needs of that business vertical What You've Done: 7+ years of relevant development experience—in data platform or data engineering—in fast paced environments Very high SQL proficiency, with experience in both transactional RDBMS systems and distributed systems Strong programming and system design skills Experience designing and developing large-scale, efficient batch and streaming data processing Ability to analyze and reason about large datasets to identify data quality issues and other contextual insights Experience mentoring, delegating to, and reviewing the work of junior team members Passion for great data end-user experience and stewardship Experience with: Data pipeline management and orchestration tools, such as Airflow Cloud-based data warehousing solutions, such as Snowflake, BigQuery, and Redshift Batch processing systems, such as Spark What We Offer: Accelerated Growth Environment: Immerse yourself in an environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale. Top Tier Compensation Package: Enjoy a rewarding compensation package that includes enticing stock incentives, aligning with our commitment to recognizing and valuing your contributions. Flexible Time Off: Embrace a healthy work-life balance with unlimited Flex Time Off, providing you the flexibility to manage your schedule and recharge as needed. Comprehensive Benefits Package: Prioritize your well-being with a comprehensive benefits package, featuring 401k, and premium Health, Vision, and Dental Insurance options. The anticipated gross base pay range is below for this role. Actual compensation will vary depending on factors such as a candidate’s qualifications, skills, experience, and competencies. Base annual salary is one component of StubHub’s total compensation and competitive benefits package, which includes equity, 401(k), paid time off, paid parental leave, and comprehensive health benefits. Salary Range $200,000 — $250,000 USD About Us StubHub is the world’s leading marketplace to buy and sell tickets to any live event, anywhere. Through StubHub in North America and viagogo, our international platform, we service customers in 195 countries in 33 languages and 49 available currencies. With more than 300 million tickets available annually on our platform to events around the world -- from sports to music, comedy to dance, festivals to theater -- StubHub offers the safest, most convenient way to buy or sell tickets to the most memorable live experiences. Come join our team for a front-row seat to the action. For California Residents: California Job Applicant Privacy Notice found here We are an equal opportunity employer and value diversity on our team. We do not discriminate on the basis of race, color, religion, sex, national origin, gender, sexual orientation, age, disability, veteran status, or any other legally protected status.

Data Engineer, Senior The Opportunity: Ever-expanding technology like IoT, machine learning, and artifi cia l intelligence means that there’s more structured and unstructured data available today than ever before. As a data engineer, you know that organizing data can yield pivotal insights when it’s gathered from disparate sources. We need an experienced data engineer like you to help our clients find answers in their data to impact important missions—from fraud detection to cancer research to national intelligence. As a Data Engineer at Booz Allen, you’ll help build advanced technology solutions and implement data engineering activities on some of the most mission-driven projects in the industry. You’ll deploy and develop pipelines and platforms that organize and make disparate data meaningful. Here, you’ll work with and guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You’ll use your experience in analytical exploration and data examination while you manage the assessment, design, building, and maintenance of scalable platforms for your clients. Work with us to use data for good. Join us. The world can’t wait. You Have: 5+ years of experience in application development 5+ years of experience designing, developing, operationalizing, and maintaining complex data applications at enterprise scale 3+ years of experience creating sof tware for retrieving, parsing, and processing structured and unstructured data 3+ years of experience building scalable ETL or ELT workflows for reporting and analytics Experience creating solutions within a collaborative, cross-functional team environment Ability to develop scripts and programs for converting various types of data into usable formats and support project team to scale, monitor, and operate data platforms TS/SCI clearance Bachelor’s degree Nice If You Have: Experience with Python, SQL, Scala, or Java Experience with UNIX or Linux, including basic commands and Shell scripting Experience with a public cloud, including AWS, Micro sof t Azure, or Google Cloud Experience with distributed data or computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka Experience working on real-time data and streaming applications Experience with NoSQL implementation, including MongoDB or Cassandra Experience with data warehousing using AWS Redshift, MySQL, or Snowflake Experience with Agile engineering practices TS/SCI clearance with a polygraph 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 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.

Anticipated End Date: 2025-12-05 Position Title: Virtual Part-Time Pharmacy Technician I, Data Entry *$1K Sign-on Bonus* Job Description: The CarelonRx Home Delivery Pharmacy will deliver a digital first pharmacy experience that is convenient, simpler to use, and more affordable for our patients and payors. Our Pharmacy model focuses on whole person care, providing the best member experience to drive adherence, affordability, and improved overall health outcomes by putting the patient first. Virtual Part-Time Pharmacy Technician I, Data Entry *$1K Sign-On Bonus* Location: Arizona Virtual: This role enables associates to work virtually full-time, with the exception of required in-person training sessions, providing maximum flexibility and autonomy. This approach promotes productivity, supports work-life integration, and ensures essential face-to-face onboarding and skill development. Please note that per our policy on hybrid/virtual work, candidates not within a reasonable commuting distance from the posting location(s) will not be considered for employment, unless an accommodation is granted as required by law. The Virtual Part-Time Pharmacy Technician I, Data Entry is responsible for the interpretation and data entry of basic prescriptions, prior authorization processing, and troubleshooting adjudication issues. How you will make an impact: Verifies member information and inputs data for the pharmacists. Educates members on pharmacy based rules related to prescriptions and medication resources or assistance programs. Processes prior authorization requests from physicians offices and ensures compliance with Medicare requirements; informs relevant parties of all prior authorization determinations. Provides resolution to grievances and appeals issues. Responds to inquiries from physicians, sales team, and members related to formulary and prescription benefits. Minimum Requirements: Requires H.S. diploma or equivalent and minimum of 1 year of pharmacy experience; or any combination of education and experience, which would provide an equivalent background. Current State Pharmacy Tech. Certification or National Certification based on applicable state(s) required. Preferred Skills, Capabilities and Experiences: Retail or mail-order background highly preferred. Tech savvy-ness highly preferred. Microsoft Teams proficiency. Ability to work and troubleshoot independently. For URAC accredited areas, the following professional competencies apply: Associates in this role are expected to have strong oral, written and interpersonal communication skills, problem-solving skills, facilitation skills, and analytical skills. O07 | Primary Posting Location Compensation: MIN $16.92-MRP $21.16 | QIP: 5% Job Level: Non-Management Non-Exempt Workshift: Job Family: MED > Licensed/Registered Pharmacist/Pharmacy Technician Please be advised that Elevance Health only accepts resumes for compensation from agencies that have a signed agreement with Elevance Health. Any unsolicited resumes, including those submitted to hiring managers, are deemed to be the property of Elevance Health. Who We Are Elevance Health is a health company dedicated to improving lives and communities – and making healthcare simpler. We are a Fortune 25 company with a longstanding history in the healthcare industry, looking for leaders at all levels of the organization who are passionate about making an impact on our members and the communities we serve. How We Work At Elevance Health, we are creating a culture that is designed to advance our strategy but will also lead to personal and professional growth for our associates. Our values and behaviors are the root of our culture. They are how we achieve our strategy, power our business outcomes and drive our shared success - for our consumers, our associates, our communities and our business. We offer a range of market-competitive total rewards that include merit increases, paid holidays, Paid Time Off, and incentive bonus programs (unless covered by a collective bargaining agreement), medical, dental, vision, short and long term disability benefits, 401(k) +match, stock purchase plan, life insurance, wellness programs and financial education resources, to name a few. Elevance Health operates in a Hybrid Workforce Strategy. Unless specified as primarily virtual by the hiring manager, associates are required to work at an Elevance Health location at least once per week, and potentially several times per week. Specific requirements and expectations for time onsite will be discussed as part of the hiring process. The health of our associates and communities is a top priority for Elevance Health. We require all new candidates in certain patient/member-facing roles to become vaccinated against COVID-19 and Influenza. If you are not vaccinated, your offer will be rescinded unless you provide an acceptable explanation. Elevance Health will also follow all relevant federal, state and local laws. Elevance Health is an Equal Employment Opportunity employer, and all qualified applicants will receive consideration for employment without regard to age, citizenship status, color, creed, disability, ethnicity, genetic information, gender (including gender identity and gender expression), marital status, national origin, race, religion, sex, sexual orientation, veteran status or any other status or condition protected by applicable federal, state, or local laws. Applicants who require accommodation to participate in the job application process may contact elevancehealthjobssupport@elevancehealth.com for assistance. Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws, including, but not limited to, the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act.

It's fun to work in a company where people truly BELIEVE in what they're doing! We're committed to bringing passion and customer focus to the business. Core Responsibilities 1. Data Collection and Entry: o Gather production data, outputs, and operational metrics, from various departments. o Accurately enter and maintain data in SAP or other databases. 2. Reporting and Documentation: o Maintain organized records of all operational data for compliance and auditing purposes. 3. Communication and Coordination: o Serve as a point of contact for data-related queries and discrepancies for Traffic Department 4. System and Process Support: o Assist in process improvements related to data management and reporting. 5. Administrative Support: o Provide general administrative assistance to the Traffic Department as required. o Help ensure the smooth flow of information and documentation between teams. Required Skills and Competencies · Strong attention to detail and accuracy · Proficiency in data entry and reporting within SAP and Excel · Excellent organizational and time management skills · Ability to generate clear, concise reports using tools like SAP and Excel · Good communication and teamwork skills · Familiarity with production processes and operational terminology is a plus Performance Metrics · Accuracy and timeliness of SAP data entry and reporting · Compliance with data management and documentation standards Benefit Details Group Health Insurance Company Paid Group Term Life Dental, Vision, Short Term Disability, Long Term Disability, and Critical Care 401k – Eligible day one of employment (Contributions can be from 1% to 50% of salary. Company match of up to 4% quarterly based on safe harbor election) Holidays – 9 per year (Eligible after 30 days of employment) Vacation time Educational Assistance Employee Assistance Program Onsite Clinic – Free medical visits Safety and Attendance incentives Employee Appreciation Days If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Benefits: Company parties Competitive salary Opportunity for advancement At Jackson Hewitt, and its independently owned and operated Franchisees, we provide an invaluable service in guiding our clients through the tax codes, rules, and processes. We do this with integrity, quality, and consistency. The role you play is critical to our success and together we are “Working Hard for the Hardest Working Americans”. This is our mission and it’s a large part of why we work here. Together we are highly passionate about what we do, and how we can help our clients. Doing taxes is much more than filling in some forms. For most Americans, their tax return is the biggest single financial event of the year, and it can be quite an emotional experience. That’s where you come in! We are here to ease their stress and provide expert customer service and tax knowledge.Flexible Schedules Available: Day shift Night shift Weekends Weekdays Full-time or Part-time The Greeter/Receptionist serves as the face of the Jackson Hewitt brand during periods of high client traffic/demand. This position interacts with and engages potential and existing clients by conversing and reviewing marketing materials to create interest in making tax preparation appointments. This seasonal role also supports other operational tasks such as appointment scheduling, answering the phone, and check distribution, when appropriate, to foster a positive and efficient client experience. You will be required to enter the initial customer data in the Jackson Hewitt Tax Profiler system to start the tax return. What you'll do here: Greets all potential clients in a friendly and professional manner Start client's tax return by entering initial information into the Jackson Hewitt Profiler System Engages in conversation with potential clients to share information about Jackson Hewitt’s services, products, and promotions Offers promotional items to potential clients by walking the store floor (for our vendor partners) or marketing to other local businesses near storefronts Assists with scheduling tax preparation appointments Monitors client flow at the location and keeps clients engaged during periods of wait time Monitors client activity and takes initiative to answer phones or assist with check distribution by following established procedures when Tax Preparers are with other clients Skills you'll bring for success: Good interpersonal and communication skills Customer service or sales experience preferred High School Diploma/ GED, or equivalent related business experience Reliable transportation and a valid driver's license and insurance preferred Compensation: $16.00 - $19.00 per hour Working at Jackson Hewitt Jackson Hewitt is an innovator with nearly 6,000 locations, and we’re on a mission to change the face of the tax industry. We are an industry-leading provider of full-service individual, federal, and state income tax preparation with offices across the country. Jackson Hewitt is always seeking to improve its financial products, promotions, and partnerships so clients get more. Taxes are fun (really!) Jackson Hewitt is proud to offer free tax training as well as continuing education for tax preparers across the country. With nearly 6,000 locations to choose from, there's likely a Jackson Hewitt location near you, including at your local Walmart store. Tax preparers have flexible scheduling and various rewards too. PTIN Certification: Yes By submitting this form, I hereby acknowledge that most Jackson Hewitt locations are operated by independent franchisees and not Jackson Hewitt or its affiliates. I further acknowledge that franchisees are independent employers and separate companies and employers from Jackson Hewitt Inc., and set their own employment policies and practices. Franchisees are the exclusive employer of their employees and as such are solely responsible for all employment-related matters and decisions in their locations. Specifically, with regard to employees of franchisees, such franchisees, and not Jackson Hewitt, will have exclusive control over all employment-related decisions, including decisions concerning hiring, firing, wages, conditions of employment, discipline, staffing, or any other day-to-day employment issue. Jackson Hewitt Inc. will have no obligation or right to control any franchise employment issue relating to employees of a Jackson Hewitt franchisee. By applying for a job at a franchise-operated location, I understand that the information I provide will be forwarded to the franchisee in order for that organization to reach out to me and process and evaluate my application. I acknowledge that Jackson Hewitt will not receive a copy of my employment application and will have no involvement in any employment decisions regarding me, including whether I receive an interview or whether I am hired to work for the franchisee. I understand that I need to contact the relevant franchisee for information about its privacy practices. Any communications opt-out that I submit in any franchisee’s job application process is specific to that franchisee and will not be communicated to any other entity.

About the Team The Strategic Finance team is responsible for some of the largest investment categories at OpenAI. We play a critical role in maximizing OpenAI’s long-term value by partnering across the business to allocate and deploy resources for the highest-impact outcomes. We work cross-functionally with Finance, Product, Engineering, and Go-To-Market teams to deliver actionable insights and support strategic decision-making. About the Role As one of the founding Data Scientists on the Strategic Finance Data Science team, you will design, implement, and own critical models, reporting, and analysis. You will work closely with Finance leadership, as well as teams across Research, Applied and Go-To-Market. This role requires deep expertise in predictive modeling, causal inference, and the ability to surface insights to support high-stakes decision-making. This role is based in our San Francisco HQ. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees. In this role, you will: Become an expert in OpenAI’s data and systems. Partnering with Data Engineering, Finance, and other teams, you’ll self-serve data to derive critical insights. Scale causal inference models to measure the impact of different actions on user growth and financial outcomes. Architect customer segmentation frameworks to unlock tailored growth strategies and expand lifetime value. Automate standardized reporting and analysis by building data products or agentic solutions. Support product pricing and other business decisions with ad hoc analysis. Design and deliver dashboards for leadership to track key performance indicators and enable optimal decision-making. Manage and lead cross-functional data science projects end-to-end. You might thrive in this role if you have: MS or PhD in a quantitative field, with 7+ years of experience in a highly quantitative role, ideally as an early data scientist at a hyper-growth company or research organization. Proficiency in Python, SQL, Tableau, and other analytical tools. Strong analytical skills and experience working with large, complex data sets. Proven ability to distill complex data into actionable insights for leadership. Ability to independently initiate and complete projects, owning them end-to-end. Excellent communication and storytelling skills when presenting data insights. Exceptional attention to detail and a commitment to accuracy. You could be an especially great fit if: You’re an enthusiastic self-starter who thrives in fast-paced, dynamic environments. You’re a phenomenal teammate and communicator, able to explain complex topics with clarity and keep stakeholders proactively informed. You’re passionate about technology and artificial intelligence. You use first-principles thinking to design solutions from the ground up based on user needs and operational realities. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Description Position at Parts Town See What We’re All About As the fastest-growing distributor of restaurant equipment, HVAC and residential appliance parts, we like to do things a little differently. First, you need to understand and demonstrate our Core Values with safety being your first priority. That’s key. But we’re also looking for unique enthusiasm, high integrity, courage to embrace change…and if you know a few jokes, that puts you on the top of our list! Do you have a genius-level knowledge of original equipment manufacturer parts? If not, no problem! We’re more interested in passionate people with fresh ideas from different backgrounds. That’s what keeps us at the top of our game. We’re proud that our workplace has been recognized for its growth and innovation on the Inc. 5000 list 15 years in a row and the Crain’s Fast 50 list ten times. We are honored to be voted by our Chicagoland team as a Chicago Tribune Top Workplace for the last four years. If you’re ready to roll up your sleeves, go above and beyond and put your ambition to work, all while having some fun, let’s chat – Apply Today! Perks Parts Town Pride – check out our virtual tour and culture! Quarterly profit-sharing bonus Hybrid work schedule Team member appreciation events and recognition programs Volunteer opportunities Monthly IT stipend Casual dress code On-demand pay options: Access your pay as you earn it, to cover unexpected or even everyday expenses All the traditional benefits like health insurance, 401k/401k match, employee assistance programs and time away – don’t worry, we’ve got you covered. The Job at a Glance We are looking for a Data Engineer- Pipelines & Platform that will focus on building and maintaining reliable, scalable pipelines on our Google Cloud Platform (GCP) data ecosystem. They will ensure data from SAP, Salesforce, eCommerce, WMS, and other systems flows seamlessly into BigQuery through automated, monitored, and secure processes. Y ou will play a pivotal and foundational role in shaping our data driven and AI mission by building the pipelines, products, and platforms that power the next generation of digital distribution. A Typical Day Design, build, and maintain ETL/ELT pipelines on GCP using Dataflow, Dataproc , or Cloud Data Fusion. Manage workflow orchestration with Cloud Composer (Airflow) for scheduling, retries, and monitoring. Optimize data ingestion from SAP, Salesforce, eCommerce, and WMS into BigQuery . Implement Pub/Sub streaming pipelines for near real-time use cases. Develop and manage bronze/silver layers (raw + cleansed) with best practices for schema design and partitioning. Implement data quality frameworks (Great Expectations, dbt tests, or custom Python checks) with automated alerts. Automate CI/CD for data pipelines using Cloud Build or GitHub Actions. Monitor cost/performance of pipelines with Cloud Monitoring & Logging. Document pipeline architecture and maintain data lineage via Dataplex or Collibra integration. To Land This Opportunity You have 4+ years of experience in data engineering, ideally with GCP as the primary cloud. You obtain d eep expertise with BigQuery , Dataflow, Cloud Composer, and Pub/Sub. You’re proficie nt in SQL and Python. You have h ands-on experience with dbt for data transformations. You’re familiar with Terraform (or Deployment Manager) for IaC . You have e xperience designing scalable ingestion frameworks from ERP/CRM/WMS/eCommerce. You have st rong knowledge of security, IAM, and compliance in cloud data environments. You’re an all-star communicator and are proficient in English (both written and verbal) You have a quality, high speed internet connection at home About Your Future Team Our IT team’s favorite pastimes include corny jokes, bowling, pool, and good pizza. They like vehicles that go really fast, Harry Potter, and coffee…a lot (they’ll hear you out on whether Dunkin or Starbucks gets your vote). At Parts Town, we value transparency and are committed to ensuring our team members feel appreciated and supported. We prioritize our positive workplace culture where collaboration, growth, and work-life balance are celebrated. The salary range for this role is $ 118 ,679.40 – 137,799.97 salary which is based on including but not limited to qualifications, experience, and geographical location. Parts Town is a pay for performance-company. In addition to base pay, some roles offer a profit-sharing program, and an annual bonus depending on the role. Our comprehensive benefits package includes health, dental and vision insurance, 401(k) with match, employee assistance programs, paid time off, paid sick time off, paid holidays, paid parental leave, and professional development opportunities. Parts Town welcomes diversity and as an equal opportunity employer all qualified applicants will be considered regardless of race, religion, color, national origin, sex, age, sexual orientation, gender identity, disability or protected veteran status.

About 10a Labs: 10a Labs is an applied research and AI security company trusted by AI unicorns, Fortune 10 companies, and U.S. tech leaders. We combine proprietary technology, deep expertise, and multilingual threat intelligence to detect abuse at scale. We also deliver state-of-the-art red teaming across high-impact security and safety challenges. About the role: We’re looking for an applied data scientist with strong engineering instincts, deep analytical thinking and excellent technical execution. You’ll develop evaluation frameworks, design and automate red-teaming strategies, own quality metrics, and run adversarial testing initiatives to support short-term sprints and long-term initiatives aligned with AI safety goals. You’ll also coordinate with red-teamers, ML engineers, and infrastructure teams to ensure end-to-end product readiness and robustness. In this role, you will: Design the technical implementation of a robust red teaming project. Lead adversarial testing efforts (e.g., red teaming, evasion probes, jailbreak simulation) and analysis efforts. Work with researchers and domain experts to define labeling schemas and edge-case tests. Partner with ML and infrastructure engineers to ensure production readiness, observability, and performance targets. Communicate technical strategy and tradeoffs clearly across internal and client teams. Automate red teaming, including developing automated workflows for prompt generation, model evaluation, and execution of AI experiments; fine-tune LLMs or classification systems. Brainstorm novel research approaches to both known and emerging problems involving AI, data, and the internet. We’re looking for someone who: Has 3-5 years of experience in applied data science, ML product work, or security-focused AI, including technical leadership or staff-level ownership. Has designed and evaluated real-world ML systems with a focus on model behavior, error analysis, and continuous improvement. Can design red teaming workflows to surface model blind spots and failure modes. Operates effectively across ML, infra, and policy / strategy contexts. Thinks like a builder, analyst, and communicator all in one. Requirements: Degree (or equivalent work experience) in Data Science, Information Science, Computer Science with ML focus, or a related field (graduate degree preferred). Background in data science, applied ML, or ML engineering, with proven experience in production-grade systems. Strong analytical toolkit (Python, SQL, Jupyter, scikit-learn, Pandas, etc.) and familiarity with modern ML tooling (e.g., PyTorch, Hugging Face, LangChain). Experience working with LLMs and embedding-based classification systems. Excellent communication skills across strategy and technical domains. Comfort working in fast-moving, high-impact environments, such as startups, AI research labs, or security-focused teams. Nice to have experience with: Safety evaluation, red teaming, or adversarial content testing in LLMs. Trust & safety or risk-focused classification systems. Annotation ops, feedback loops, or evaluation pipeline design. Experience with open-source model evaluation tools (Promptfoo, DeepEval, etc.). Compensation & Benefits: Salary Range: $105K–$125K, depending on experience and location. Bonus: Performance-based annual bonus. Professional Development: Support for conferences, continuing education, or leadership training. Work Environment: Fully remote, U.S.-based. Health Benefits: Comprehensive health, dental, and vision coverage. Time Off: Generous PTO and paid holiday schedule. Retirement: 401(k) plan.

Are you passionate about solving complex challenges in the fintech space? We’re looking for talented individuals to join our dynamic startup, backed by Sequoia Capital. We’re building the universal payment layer to unify all currencies—fiat and crypto—so businesses and consumers can transact seamlessly. If you're passionate about creating innovative solutions in a dynamic, fast-paced environment, we want to talk to you. We’re hiring a Senior Risk Data Analyst to build and scale Breeze’s risk analytics function from the ground up. This is a founding role — you’ll help shape our data infrastructure, define metrics, and drive the insights that power our fraud prevention and merchant risk strategies. What You’ll Do Develop and track metrics to measure and monitor the performance of our risk products and strategies. Conduct in-depth analyses to uncover insights that reduce fraud and increase approval rates for our merchants. Partner directly with clients, translating complex data insights into clear, actionable recommendations. Build and experiment with machine learning models to identify fraudulent patterns and enhance detection capabilities. Work closely with engineers to ensure proper data instrumentation and high-quality data pipelines. Design and automate self-serve dashboards using BI tools (e.g., Tableau, Sigma, Metabase). Collaborate cross-functionally with Product, Engineering, and Business teams to translate requirements into data-driven solutions. Support the implementation and optimization of risk mitigation systems aligned with business goals. What We’re Looking For 5+ years of experience in data-focused roles such as product analytics, business analytics, or data science. Strong technical background with hands-on experience in SQL and Python . Proven experience in the Fraud/Risk domain , ideally within fintech, payments, or financial services. Expertise with BI tools such as Tableau , Sigma , or Metabase . Exposure to machine learning applications for business use cases (e.g., fraud detection, risk modeling). Ability to perform structured analysis (EDA, cohort analysis, etc.) and communicate insights clearly to both technical and non-technical audiences. Strong grasp of performance metrics, experimentation, and data storytelling. A creative problem solver who thrives in ambiguity and enjoys the pace of a startup environment. Must be okay working some hours that overlap with our US team members. Must be based in NYC Why Join Us Competitive salary + equity plan 21 days PTO Flexible benefits: annual medical allowance, productivity allowance, gym membership/personal well-being subsidy Annual team retreat trip Work alongside a world-class team backed by Sequoia Capital with a healthy runway Our Culture Fast-paced and dynamic – We adapt quickly to capture opportunities. Builder’s mindset – We value initiative, creativity, and ownership. Collaborative – Product, data, and operations work as one team. Continuous learning – We share expertise and push boundaries. Join us in shaping how the world transacts — one seamless payment layer at a time. Apply now and help us build the future of payments at a global scale!

Benefits: 401(k) Competitive salary Dental insurance Health insurance Paid time off A Lead Data Scientist is responsible for managing data science projects, leading a team, and utilizing advanced analytics to drive business decisions and product improvements. Key Responsibilities Team Management : Lead and mentor a team of data scientists, machine learning engineers, and big data specialists to foster professional growth and collaboration. Project Planning : Oversee the planning and execution of data science projects, ensuring alignment with organizational goals and objectives. Model Development : Build and optimize analytical models using machine learning, natural language processing, and statistical techniques to derive insights from large datasets. Data Analysis : Analyze various data sources, including procurement, supply chain, and healthcare data, to inform business strategies and product development. Problem Solving : Identify and address data development challenges, proposing innovative solutions to enhance data utilization across the organization. Methodology Development : Lead the development and maintenance of methodologies that support product offerings, including statistical modeling and time-series analysis. Stakeholder Collaboration : Work closely with business leaders and other departments to communicate analytical findings and drive data-driven decision-making. Required Skills and Qualifications Educational Background : Typically requires a Master’s or Ph.D. in Statistics, Computer Science, Mathematics, or a related field. Technical Expertise : Proficiency in data manipulation, visualization, and machine learning techniques, with experience in programming languages such as Python, R, or SQL. Analytical Skills : Strong problem-solving abilities and a knack for statistical analysis to interpret complex data sets effectively. Leadership Skills : Experience in managing teams and projects, with the ability to mentor junior data scientists and foster a collaborative environment. Communication Skills : Excellent verbal and written communication skills to convey complex analytical concepts to non-technical stakeholders. Salary Expectations $ 125,000 - $140,000 Compensation: $125,000.00 - $140,000.00 per year PROVIDING QUALITY STAFFING AND CONSULTING SINCE 2011 Based out of San Antonio, Tex​as, our minority women-owned company specializes in all staffing and consulting needs. Whether you’re trying to hire a pharmacist, a respiratory therapist, or skilled and non-skilled laborer, we will staff your company with the best candidate. We bring extensive experience and professionalism and we will personalize our assistance to your needs and concerns. Most of our contracts are with the Army and Air Force as Sub-Contractors. Our staff has a quick turn around and have been able to fill positions within 48 hours with short notice, we have filled hard to fill locations and jobs, and managed over 16 contracts with over 70 employees at a time. Managed call-ins at 24/7 hospitals and ensured shifts were filled, and managed PRNs with notice of less than 24 hours. Also, provided temp laborers for next day jobs. Our consulting division provides contracting assistance, program managing, application assistance, certification assistance and proposal writing. We are very knowledgeable in a variety of areas and are eager to assist your company's prosperity.

Description Job Title: Data Engineer with java background Client: Capital One Location: 1680 Capital One Drive, McLean, VA 22102 (Hybrid) Duration: 12+ Months with possible of extensionPlease share quality and genuine candidates. It’s a CTH role. Please share only W2 candidates Job Overview: We are seeking an experienced Data Engineer with a strong Java background to support our data platforms and ETL operations. The ideal candidate will have hands-on experience building and maintaining ETL pipelines , writing complex SQL queries , and applying software engineering best practices. This contract role offers a potential path to full-time conversion based on performance Job Description: · Strong experience developing ETL jobs and data pipelines · Experience with data warehousing (Snowflake, Redshift, BigQuery) · Exposure to big data tools (Spark, Hadoop, Kafka) · Ability to write and optimize complex SQL queries · Solid software development background in Java (Python is a plus) · Experience working with relational databases and large datasets · Familiarity with cloud environments (AWS/Azure/GCP preferred)

In a world of possibilities, pursue one with endless opportunities. Imagine Next!At Parsons, you can imagine a career where you thrive, work with exceptional people, and be yourself. Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we cultivate an innovative culture that empowers you to achieve your full potential. Unleash your talent and redefine what’s possible. Job Description: Parsons is looking for an amazingly talented Data Scientist to join our team! In this role you will get to make an impact on the future success of the U.S. Cyber Command. What You'll Be Doing: Design, develop, and maintain robust and scalable data pipelines for enterprise AI applications including defining appropriate data model concepts Develop high-performance data parsers for extremely large and complex datasets Implement and manage various database systems, including graph, SQL, NoSQL, and vector databases Collaborate with AI/ML engineers and data scientists to understand data requirements and optimize data access and retrieval for AI models Ensure data quality, integrity, and security across all data storage solutions Support the deployment and maintenance of AI applications by providing expert data engineering capabilities Familiarity with AI concepts in the context of data storage, access, and retrieval Continuously optimize data infrastructure for performance, cost-efficiency, and scalability What Required Skills You'll Bring: Active TS/SCI with Polygraph Bachelor's degree in a relevant technical field with 8 years of experience; Master's degree in a relevant technical field with 5 years of experience; 4 years additional experience will be considered in lieu of degree Advanced proficiency in programming languages commonly used for data engineering (e.g., Python, Java, Scala) Demonstrated expertise in designing, developing, and optimizing data pipelines for large-scale enterprise environments Proven experience with corporate dataflows and developing data parsers for extremely large datasets Extensive experience with various database technologies including graph databases (e.g., Neo4j), SQL databases (e.g., PostgreSQL, MySQL), NoSQL databases (e.g., MongoDB, Cassandra), and vector databases Familiarity with cloud platforms (AWS, Microsoft Azure) for data storage and processing What Desired Skills You'll Bring: Experience with data governance, data security, and compliance best practices Familiarity with big data technologies such as Hadoop, Spark, or Kafka. Experience with data warehousing concepts and tools Continuous learning mindset to stay abreast of cutting-edge data engineering and AI advancements Understanding of machine learning concepts and their implications for data infrastructure Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams Ability to translate complex data requirements into actionable engineering solutions Security Clearance Requirement: An active Top Secret SCI w/Polygraph security clearance is required for this position.​This position is part of our Federal Solutions team.The Federal Solutions segment delivers resources to our US government customers that ensure the success of missions around the globe. Our intelligent employees drive the state of the art as they provide services and solutions in the areas of defense, security, intelligence, infrastructure, and environmental. We promote a culture of excellence and close-knit teams that take pride in delivering, protecting, and sustaining our nation's most critical assets, from Earth to cyberspace. Throughout the company, our people are anticipating what’s next to deliver the solutions our customers need now.Salary Range: $120,800.00 - $217,400.00We value our employees and want our employees to take care of their overall wellbeing, which is why we offer best-in-class benefits such as medical, dental, vision, paid time off, 401(k), life insurance, flexible work schedules, and holidays to fit your busy lifestyle!Parsons is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status or any other protected status.We truly invest and care about our employee’s wellbeing and provide endless growth opportunities as the sky is the limit, so aim for the stars! Imagine next and join the Parsons quest—APPLY TODAY! Parsons is aware of fraudulent recruitment practices. To learn more about recruitment fraud and how to report it, please refer to https://www.parsons.com/fraudulent-recruitment/ .

ABOUT POOLSIDE In this decade, the world will create Artificial General Intelligence. There will only be a small number of companies who will achieve this. Their ability to stack advantages and pull ahead will define the winners. These companies will move faster than anyone else. They will attract the world's most capable talent. They will be on the forefront of applied research, engineering, infrastructure and deployment at scale. They will continue to scale their training to larger & more capable models. They will be given the right to raise large amounts of capital along their journey to enable this. They will create powerful economic engines. They will obsess over the success of their users and customers. poolside exists to be this company - to build a world where AI will be the engine behind economically valuable work and scientific progress. View GDPR Policy ABOUT THE ROLE The Procurement Officer – Data Center Equipment will oversee the sourcing, negotiation, and procurement of hardware and infrastructure components critical to datacenter operations. This role requires strong vendor management skills, market knowledge, and a focus on aligning purchases with operational needs and budget goals. Existing relationships and network outreach for a strained supply chain is a must. RESPONSIBILITIES Source and procure datacenter equipment, medium voltage gear, transformers, chillers, cooling equipment, etc. Negotiate contracts, pricing, and terms with suppliers to optimize cost, quality, and delivery schedule. Evaluate vendor performance and maintain strong relationships with key suppliers. Collaborate with engineering and operations teams to identify equipment specifications and requirements. Manage procurement budgets, track expenditures, and ensure compliance with financial policies. Monitor market trends and supply chain risks to ensure timely availability of equipment. Maintain accurate records of purchases, contracts, and inventory levels. Ensure compliance with environmental and regulatory standards for equipment procurement. SKILLS & EXPERIENCE Education : Bachelor’s degree in Business, Supply Chain Management, or related field. Experience : 3-5 years of procurement experience, preferably in datacenter equipment or MEP supply chain purchasing. Technical Skills : Knowledge of datacenter equipment (e.g., servers, racks, UPS systems). Familiarity with procurement software (e.g., SAP, Oracle NetSuite). Understanding of supply chain logistics and vendor management. Soft Skills : Strong negotiation and analytical skills. Excellent communication and relationship-building abilities. Ability to manage multiple projects and deadlines. Certifications (preferred): Certified Professional in Supply Management (CPSM) or equivalent. Travel: Regular travel required. For suppliers, sites, and corporate gatherings. PROCESS Intro call with Lance, our VP of Data Center Interview with Lauren, our Director of Strategic Operations Interview with Eiso, our Co-CEO Team fit call with the People team BENEFITS Hybrid work & flexible hours 37 days/year of vacation & holidays Health insurance allowance for you and dependents Company-provided equipment

Description Founded in 1989, CALNET, Inc. has become one of the fastest growing privately held companies in the Technology, Intelligence Analysis, and Language Services consulting arena. Headquartered in Reston, VA, CALNET employees deliver true value to our customers by employing best practices, world-class technologies industry expertise in every project. CALNET is ISO 9001, ISO 20000, ISO 27001, CMMI-Level III for Services, and CMMC Level 2 certified. We are currently searching for a talented, professional Mid-Level Data Scientistwith TS/SCI clearance to join our team to support NGA. About the Job The Senior Analytical Methodologist possesses skills that focus on GEOINT data enrichment and management. Applies expertise to exploit GEOINT data or information in order to develop advanced analytic processes, apply scientific approaches to test geospatial data for accuracy and precision, create automated services that support GEOINT creation and delivery, and/or structure and manage data for further use. Requirements 7 + years of demonstrated experience using quantitative and qualitative techniques to solve complex problems using analytic tools and techniques to solve complex problems such as GIS, quantitative methods and data visualization, modeling, systems analysis, comparative analysis and database development. Bachelor’s degree or master's degree in computer science or information technology discipline. Demonstrated knowledge and experience in data mining, cleansing and exploring spatial, temporal and non-spatial data in both structured and unstructured formats. Demonstrated knowledge of programming languages (e.g. Python, Java, JavaScript, SQL), modeling software, spatial analysis tools and concepts, data mining methods, database structures and analytic information extraction and visualization. Current, active TS/SCI with the ability to obtain a CI Poly . This opportunity is located in Springfield, VA . To apply, go to https://jobs.jobvite.com/calnet. CALNET, Inc. offers a competitive base salary and a generous benefits package. This package includes medical, dental, vision, life, short- and long-term disability insurances, a 401(k)-retirement savings plan, and generous leave time. CALNET, Inc. is an Equal Opportunity Employer; all qualified applicants are encouraged to apply. www.calnet.com EEO/M/F/D/V

Account Executive, CoStar Data & Analytics - Seattle, WA Job Description 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. Demonstration of commitment to prior employers 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 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 CoStar Group is an Equal Employment Opportunity Employer; we maintain a drug-free workplace and perform pre-employment substance abuse testing

Role Details Location: San Francisco, CA. This role is based out of our San Francisco HQ and is not eligible for full-time remote work. About Us At FurtherAI, we’re building the next generation of AI agents for the insurance industry - a trillion-dollar market ready for transformation. We’ve raised more than $30M from top investors (Andreesen Horowitz, YC, Nexus, South Park Commons, Converge) and have grown 10x in revenue this year alone. Our customers include some of the largest names in insurance (we recently closed a top 5 insurance company in the world), and our team combines deep AI expertise with proven company-building experience. Now, we’re looking for an exceptional Data Scientists to join our early team and help shape both our product and culture. Why Join Us Rocketship Growth : Post-PMF, with revenue growing at an exceptional pace. Elite Team : Founding team includes ex-Apple AI Research, 4 ex-YC founders, and 6 ex-founders . Engineers have prior experience at Apple, Microsoft, Google, and Amazon. Technical Depth : Work alongside a staff research scientist and a team of 7 engineers solving cutting-edge problems in AI and scalable backend systems. Massive Market Impact : Insurance is the backbone of global commerce - our work reshapes how this industry operates. Founder’s Mindset : Perfect fit if you want to own big pieces of the product and possibly start your own company in the future. What You’ll Do Own data & evaluation across multiple customer-facing projects - design metrics, run experiments, and build dashboards to track model and workflow performance. Evaluate and refine LLM-based systems - analyze outputs, tune prompts, and measure accuracy and coverage across varied insurance workflows Analyze and communicate insights from production data to improve accuracy, coverage, and reliability. Work closely with our CTO, Sashank (ex-Apple AI/ML), to define success metrics and productionize AI systems. Collaborate with customers to translate workflows into measurable outcomes. Work in-person from our San Francisco HQ (5-day week). What We’re Looking For 3+ years in data science or applied analytics working on customer-facing project Experience prompting and evaluating LLMs for real-world applications Strong in Python, SQL , and building evaluation or dashboarding pipelines . Solid grasp of model metrics, error analysis, and experimentation . Clear communicator who can turn data into actionable insights. At FurtherAI, we set a high bar. We’re not looking for someone who just wants a job - we’re looking for someone who wants to build something transformative . If you thrive in environments where the pace is fast, expectations are high, and the rewards are outsized, you’ll love it here.

We're seeking someone to join our team as an Executive Director who will have responsibility as the Audit Coverage Director (ACD) leading all Data Governance audit coverage and assurance activities, including Data Quality, Data Privacy, and Information Management, for the Firm, including U.S. Banks and other legal entities globally. The Morgan Stanley Internal Audit Data Governance function is responsible for planning and coordinating year-round audit work on Data Governance, collaborating effectively with Internal Audit Staff members within the Business, Finance, Non-Financial Risk (NFR), and Technology teams. This role will report to the Heads of Audit Coverage for Finance and NFR. The Internal Audit Division (IAD) drives attention and resources to vulnerabilities by providing an independent and well-informed view and impactful messages about the most important risks facing our Firm. This is accomplished by performing a range of assurance activities to independently assess the quality and effectiveness of Morgan Stanley’s system of internal control, including risk management and governance systems and processes. IAD serves as an objective and independent function within the Firm’s risk management framework to foster continual improvement of risk management processes. This is an Executive Director level position within Business Audit, which is responsible for inspecting controls in front, middle and back offices. ​Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world. Location : New York, NY (4x per week in office)Interested in joining a team that's eager to create, innovate and make an impact on the world? Read on... What you'll do in the role : Identify risk and emerging risks applicable to Data Governance, and develop and prioritize assurance plan and activities accordingly Oversee coverage strategy for Data Governance for the Firm and U.S Banks from end to end, and ensure that management focus areas and relevant regulatory requirements are adequately scoped into audits, risk assessments and reviews Coach and support team in identifying the most appropriate inspection techniques based on the identified risks Convey increasingly complex risks and impact in a clear, concise and timely manner to senior stakeholders, including but not limited to the Board Audit Committee, Firm and U.S. Banks senior management and external stakeholders (e.g., FRB, OCC, and other regulators) Encourage and support employees in the adoption of new assurance tools and techniques Identify and leverage a range of relevant data sources to generate insights on risks and to facilitate discussions about the implications for the Firm Enable the team to deliver high-quality work and navigate through peak work periods and deadlines Oversee resource utilization, monitoring and progress against targets Build and maintain senior business relationships to assist in the development, planning and/or performing of audits focusing on all aspects of Data Governance. Represent Data Governance Audit on relevant senior-level committees and other governance forums. Oversee performance management for team members covering Data Governance audits What you'll bring to the role : Minimum 12 - 15 years' experience, with technical understanding of Data Governance concepts and methodologies, preferably having worked in Finance or Non-Financial Risk Management internal audit in a major bank/financial institution with trading activities Extensive knowledge of Data Governance as well complex risks, emerging risks and relevant regulations Deep understanding of audit principles and various assurance techniques Ability to articulate complex risks in a clear and concise manner and guide team in their communication Ability to provide effective coaching, real-time feedback, and stretch and development opportunities to help team achieve success Ability to create a work environment that fosters trust, idea sharing, and inclusion among team members Significant experience overseeing resource utilization and monitoring progress against deliverables Experience in dealing with regulators and understanding their expectations for documentation, closure verification work and coverage of relevant regulatory requirements 4-year college degree in a business discipline (e.g., Finance, Economics, Accounting) WHAT YOU CAN EXPECT FROM MORGAN STANLEY: We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices​ into your browser. Expected base pay rates for the role will be between $165,000 and $275,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs. Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees. It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law. Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).

Tax Professional (Tax Preparer) – Entry Level Are you looking for a fun, dynamic work environment? Do you need a job with flexible hours? Are you looking for some extra cash? If you answered YES to any of these questions, Fast Tax has a great opportunity for you! We are excited to announce that we are now seeking career-minded candidates for Tax Professional (Tax Preparer) positions; NO experience necessary. Tax Professional (Tax Preparer) base responsibilities include : Conducting face-to-face client interviews Providing high-quality tax return preparation assistance to clients to ensure that accurate and complete tax returns are filed in a timely manner Increasing client retention, generating business growth and offering additional products and services Other Responsibilities as needed : Make client appointments Assemble client packets Answer telephone, direct calls, take messages Greet arriving clients Other responsibilities as assigned Required Skills & Experience : High School Diploma or equivalent Basic typing skills (minimum 35 wpm) Basic computer operating skills Ability to effectively communicate in person and in writing Excellent people skills Experience working in a fast-pace environment Team-oriented Successful completion of company provided Tax Knowledge Assessment Preferred Skills & Experience : Sales and/or marketing experience Previous tax preparation work experience Annual Filing Season Program (AFSP) Certification Pay is based on hourly rate plus commission Fast Tax Service Inc At Fast Tax, our mission is to serve our Clients by providing high quality, professional tax services. Fast Tax was founded in 1991 and has grown from 10 preparers at four locations to over 100 preparers at 23 locations spanning the Greater New Orleans and Baton Rouge Areas. We attribute the growth and success of our Company to our belief in 3 core principles: Integrity, Accuracy and Service. For more than 25 years, we have been committed to serving the needs of our Clients with the help of a diverse, dedicated team of Enrolled Agents, Accounting Professionals, and other Tax Professionals who have years of experience in the tax services industry. We pride ourselves on maintaining our competitiveness by being aware of and prepared for the complexities that our industry encounters every year. Our objective is to continue to uphold our tradition of excellence in the tax services industry by evaluating and taking full advantage of the latest technologies while keeping abreast of the ever changing tax laws that may affect our Clients. Our company was founded on service and as we look toward the future, we will never lose sight of who and what is most important to us—our Clients