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Responsive recruiter Benefits: Employee discounts Flexible schedule Wellness resources We are Jackson Hewitt, Working Hard for the Hardest Working. We have a new Career Opportunity for you to deliver exemplary customer service, and become someone’s tax hero! Join the team that is focused on being advocates for our clients, and getting them their maximum tax refund, faster, and with fewer associated fees. Stand out as friendly, attentive, and knowledgeable. Jackson Hewitt offers training related to income tax preparation and the delivery of excellent customer service. This position has access to and regularly works with information of a sensitive, highly confidential nature; and regularly deals with diverse matters which require a working knowledge of the business. Responsibilities Presents the Company’s value proposition to clients concerning various company products and services and uses prescribed selling techniques Conducts a thorough in-person interview with potential clients, using the company’s propriety tax software application Delivers exceptional customer service by anticipating customer needs and considers the impact of all decisions/actions on the customer Answering client calls via our national call center routing system Completes all related tax forms in accordance with policies, and in compliance with legislation and regulations. Furnishes taxpayers with sufficient information and advice to ensure correct tax form completion Consults tax law reference materials to determine procedures for preparation of atypical returns Answers questions and provide future tax planning to clients Reviews financial records such as income statements and documentation of expenditures to determine forms needed to prepare tax returns Researches tax related questions and issues, and responds to clients appropriately and within a timely manner Resolves client complaints, or refers situations to supervisor (as appropriate) for resolution Audits all tax return forms for accuracy and completeness (i.e., client signatures) This position has access to and regularly works with information of a sensitive, highly confidential nature, and regularly deals with diverse matters which require a working knowledge of the business Required Qualifications Top candidates for this position will have retail experience providing exceptional client service and performing multiple tasks in a fast paced environment Hands-on marketing with surrounding businesses, including office visits to promote brand awareness and new clientele High School Degree or equivalent 1+ years experience preferably in sales, service and tax preparation Good communication, interpersonal and customer services skills Basic knowledge of computer functions and math required Ability to lift a maximum of 25 lbs Strong attention to detail and accuracy Ability to work under pressure, in a fast-paced working environment Preferred Certifications Field Instructor, Remote Support or Call Center certified Enrolled Agent (EA) certification Compensation: $12.00 - $14.00 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.

Cardiosense is a rapidly growing, venture-backed medical AI company that is redefining how we detect, monitor, and manage heart disease. We're developing novel wearable sensors and advanced machine learning algorithms that translate raw physiological signals into clinically actionable, digital biomarkers used to detect early signs of cardiac worsening, guide personalized therapy, and improve patient outcomes. Our team brings together experts in data science, biosignal analysis, and medicine united by a common mission to identify and combat preventable cardiac disease. Cardiosense's solutions are built on over a decade of clinical research and we continue to collaborate with the world's leading academic institutions to introduce the next generation of cardiac monitoring and disease management. We are seeking a highly experienced Senior Data Scientist to lead complex projects, mentor junior team members, and develop cutting-edge machine learning models and analytics tools. The ideal candidate will have a proven track record of solving high-impact business problems using data-driven methodologies and be passionate about advancing our organization's data capabilities. KEY RESPONSIBILITIES Data Strategy * Collaborate with cross-functional teams to identify opportunities for leveraging company data to drive business solutions. * Collaborate with clinical teams and external vendors to facilitate data collection. Model Development & Deployment * Design, develop, and deploy scalable machine learning models and advanced analytics. * Apply digital signal processing techniques to physiological waveforms (PPG, ECG, SCG, etc.) and build novel machine learning algorithms for hemodynamic assessment. * Optimize existing algorithms and pipelines to improve efficiency and performance. * Own the end-to-end lifecycle of models, from research and prototyping to production and monitoring. Advanced Analytics * Perform exploratory data analysis to extract actionable insights. * Develop predictive, prescriptive, and descriptive analytics to inform decision-making. * Work with structured and unstructured data to uncover trends and patterns. Data Infrastructure & Tools * Partner with data engineering teams to ensure the availability of robust data pipelines. * Recommend and implement data tools, frameworks, and platforms to enhance workflows. Stakeholder Engagement * Communicate complex findings and recommendations to technical and non-technical stakeholders. * Translate business objectives into data science tasks and projects. QUALIFICATIONS Education * Master's or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or related field. Experience 3 + years of professional experience in data science or machine learning roles. * Demonstrated experience leading data science projects or teams. Technical Skills * Expertise in programming languages such as Python, R, or Scala. * Strong proficiency in machine learning frameworks (TensorFlow, PyTorch, Scikit-learn). * Experience with big data tools (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP). Soft Skills * Strong analytical thinking and problem-solving abilities. * Excellent communication and presentation skills. * Proven ability to influence cross-functional teams and stakeholders PREFERRED QUALIFICATIONS * Industry experience in healthcare or medical device environment. * Familiarity with MLOps and automated pipelines. $108,000 - $165,000 a year Compensation and Benefits: Individual compensation is based on a variety of factors, including skills, qualifications, experience, and geographic location. Additional bonuses and equity may also be available where applicableWe also offer a comprehensive and competitive benefits package, which includes: -Health, dental, and vision insurance -Health Savings Account (HSA) or Flexible Spending Account (FSA) options -Commuter benefits -401(k) retirement plan Cardiosense is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, ethnicity, religion, disability status, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

About Johnson Controls At Johnson Controls, we transform the environments where people live, work, learn and play. From optimizing building performance to improving safety and enhancing comfort, we drive the outcomes that matter most. Dedicated to protecting the environment, we deliver our promise in industries such as healthcare, education, data centers and manufacturing. With a global team of 100,000 experts in more than 150 countries and over 130 years of innovation, we are the power behind our customers’ mission. About Security Access Control Business When Fortune 500 corporations, government customers, or any other enterprise applications concerned with critical security issues need a reliable solution in their day to day operations, more often than not, they turn to Johnson Controls and its security and event management technologies currently installed in thousands of facilities worldwide. Johnson Controls has built a solid reputation in the security industry as an innovator of security and event management technologies. With its continuous investment in R&D, and the ability to leverage new technologies, Johnson Controls has reached technological excellence. What you will do Johnson Controls is seeking a a Data Platform Architect to lead the design and evolution of the data infrastructure for our flagship One Security Platform (OSP). This platform serves as the foundation for our next-generation access control, video management, and AI-powered security solutions. You will have the opportunity to define the architecture, technologies, and governance models for data ingestion, storage, analytics, telemetry, and AI model enablement. You will partner with engineering, product, AI/ML, and cloud operations teams to build a robust, scalable, and secure data platform that powers real-time insights, analytics, and intelligent automation. This is a hybrid position. Candidates must be commuting distance to Westford, MA, or able to relocate. Various relocation packages are available. How you will do it Design and evolve the end-to-end data platform architecture that supports telemetry, event streams, metadata, logs, system health, analytics, and ML pipelines. Define data modeling standards, retention policies, partitioning, and lifecycle strategies for structured and unstructured data across the OSP ecosystem. Partner with AI/ML architects and analytics teams to ensure that the data platform supports training, inferencing, real-time analytics, and alerting use cases. Lead the selection and integration of data technologies (e.g., Kafka, Redshift, TimeScaleDB, S3, etc.) aligned to performance, cost, and reliability goals. Ensure compliance with regulatory, privacy, and security standards (e.g., GDPR, SOC2, NDAA, FIPS) for data at rest, in motion, and in use. Build and maintain telemetry pipelines that feed dashboards, observability tools, and proactive health monitoring for platform services. Collaborate closely with platform, cloud, product, and QA teams to ensure data availability, correctness, lineage, and operational efficiency. Provide technical leadership and mentorship to developers, data engineers, and analytics stakeholders. Maintain a roadmap for continuous improvement of the data platform with evolving business needs and technology trends. What you will needRequired 10+ years of experience in software/data engineering, with at least 3 years in a data architect or platform architect role. Minimum Bachelor's degree in a technical, or engineering, related field. Experience designing cloud-native, multi-tenant data platforms for SaaS applications (preferably on Azure, AWS or GCP). Deep expertise in event-driven data pipelines, streaming frameworks (Kafka), and big data storage systems. Strong hands-on experience with data lake/data warehouse technologies, columnar databases, and time-series storage. Understanding of DevOps practices, CI/CD integration for data services, and infrastructure-as-code tools (Terraform, CloudFormation). Strong understanding of security, encryption, access control, and compliance for enterprise-grade data environments. Exceptional communication and documentation skills — able to evangelize architecture and drive alignment across cross-functional teams. Able to travel 5-10% Preferred Experience with security, IoT, or real-time telemetry systems (video, access control, sensor data, etc.). Familiarity with observability stacks (Prometheus, Grafana, Datadog, ELK) and distributed tracing. Exposure to ML/AI pipelines, model training and serving architectures, or time-series analytics for anomaly detection. Experience designing for scalability across global deployments and regulatory zones. Johnson Controls International plc. is an equal employment opportunity and affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, protected veteran status, genetic information, sexual orientation, gender identity, status as a qualified individual with a disability or any other characteristic protected by law. To view more information about your equal opportunity and non-discrimination rights as a candidate, visit EEO is the Law . If you are an individual with a disability and you require an accommodation during the application process, please visit here .

Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you. Synopsis of the role: This 12-week Internship Program (May 18-Aug 7, 2026) is a gateway to full-time career paths for current university students. The program provides meaningful projects with direct impact on our business as well as exposure to senior leaders and opportunities to network. The program is designed to support research and advanced development techniques for Artificial Intelligence (AI) and Machine Learning (ML). What you will do: Enable building the AI/ML prototypes using data, equations, and mathematical results to deliver insight into new and emerging solutions. Partner in development of scalable solutions using large datasets with other data scientists on the team. Integrate diverse data sources, data types and data structures into an innovative visualization prototype. Work with key stakeholders to develop advanced solutions or improve existing solutions around data and analytics. What you will need: Graduate students obtaining a Master's degree in Data Science, Statistics, Analytics, Mathematics, or Computer Science or a related STEM field Expected graduation date of May 2027 Experience or coursework in code development in SQL, Python, Hive, Impala, R What could set you apart: Strong SQL and/or Big Query skills in Big Data environment. Formal coursework and/or familiarity with AI/Machine learning Experience working with large datasets, knowledge of distributed computing tools (Spark, MapReduce, Hive, Apache Mahout etc.) a plus Excellent problem solving skills with the ability to design algorithms, which may include data cleaning, data mining, data clustering and data preparation for visualization Personal qualities desired: creativity, tenacity, curiosity, and passion for excellence in a rapidly changing prototyping environment Experience in Spotfire and/or Tableau We offer comprehensive compensation and healthcare packages, 401k matching, paid time off, and organizational growth potential through our online learning platform with guided career tracks. Are you ready to power your possible? Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference! Primary Location: USA-Atlanta JV White Function: Function - Internships Schedule: Full time

We are an MIT-born, venture-backed Silicon Valley startup building Engineering General Intelligence (EGI)—an AI Copilot for design and manufacturing. Our mission is to fundamentally reinvent how physical products are designed and built, dramatically accelerating the pace of product development. As an Individual Contributor on the Data Studio team, you will play a key role in transforming raw customer data into structured, high-fidelity datasets that power model training, evaluation, and customer delivery. This role is deeply hands-on and sits at the intersection of product, research, and engineering. You will apply your mechanical engineering and manufacturing expertise to create data pipelines, labeling workflows, reference models, and quality checks that ensure the accuracy and reliability of our AI systems. Mechanical engineering or manufacturing design experience is essential; candidates without this background will not be considered. Key Responsibilities 1. Data Creation, Processing & Quality Ingest, clean, transform, and structure customer and internally generated engineering data for AI training and inference. Design and build high-quality mechanical components and assemblies in CAD to serve as authoritative ground truth for evaluating and training AI systems. Produce labeled datasets, reference designs, annotations, exploded views, sequences, and other engineering artifacts that encode real-world reasoning. Apply engineering judgment to define and assess output quality across datasets. Continuously refine standards for metadata, annotation, and model quality, maintaining a living “definition of quality” for ME datasets. 2. Workflow & Tooling Contributions Collaborate with Product Managers to shape tooling used for annotation, data correction, model-output review, and pipeline automation. Provide detailed feedback on tool usability, workflow efficiency, and automation opportunities. Help develop scalable, repeatable data processes that improve throughput and data consistency. 3. Cross-Functional Collaboration Partner closely with engineering and research teams to understand model data requirements, failure modes, and areas needing new data. Influence model behavior by supplying representative engineering examples and ground-truth mechanical designs. Partner with customer-facing teams to translate domain requirements, industry standards, and customer data schemas into actionable dataset specifications. Serve as a subject matter expert on mechanical engineering formats, CAD standards, manufacturing practices, and design artifacts. 4. Domain Expertise & Reference Content Creation Generate technical documentation, exploded views, sequences, and annotations that encode engineering reasoning into training data. Ensure that datasets reflect real-world constraints, DFM (Design for Manufacturing) considerations, material behavior, and industry best practices. Embed engineering reasoning into training data so that AI systems learn not just geometry or text, but engineering intent. 5. Customer & Project Support Work with customers to understand their data sources, schemas, formats, and quality expectations. Guide customers in preparing high-quality datasets, defining structured schemas, and improving data pipelines. Support delivery timelines by communicating progress clearly and surfacing risks or issues early. Review and work with external contractors, ensuring high-quality output and adherence to SOPs. Required Qualifications Strong domain expertise in mechanical engineering, manufacturing design, or industrial workflows. Hands-on experience with CAD tools such as SolidWorks, CATIA, Siemens NX, or Creo. Familiarity with annotation tools and illustration software (e.g., Creo Illustrate, Adobe Illustrator, Arbortext). Ability to interpret complex mechanical assemblies, technical drawings, GD&T, and engineering documentation. Experience creating artifacts like exploded views, work-step sequences, repair manuals, or manufacturing instructions. Strong problem-solving skills and the ability to translate domain workflows into structured data requirements. Excellent communication and cross-functional collaboration skills. Preferred Qualifications Experience with data operations, labeling workflows, ML data pipelines, or AI/ML data lifecycle (collection -> labeling -> QA -> training -> evaluation -> deployment). Experience in fast-paced startup or high-growth environments. Comfort with customer-facing discovery or solutioning. What Success Looks Like Deliver high-quality datasets that measurably improve model performance. Drive standardization and reliability across ME datasets, CAD models, workflows, metadata, and annotations. Enable faster model training, evaluation, and deployment through strong cross-functional collaboration. Maintain clear documentation, repeatable processes, and continuous quality improvement. Be recognized as a trusted ME expert in data quality and domain insight.

About Watershed Watershed is the enterprise sustainability platform. Companies like Airbnb, Carlyle Group, FedEx, Visa, and Dr. Martens use Watershed to manage climate and ESG data, produce audit-ready metrics for voluntary and regulatory reporting including CSRD, and drive real decarbonization. We are looking for team members who love product-building, want to work hard at a mission-oriented startup, and will collaborate with us in shaping the culture of a growing team. We have offices in San Francisco, New York, London, Paris, Berlin, Sydney, Mexico City, and remote team members across the US and Europe. We hope that you'll be interested in joining us! The role As part of this work, you will: Build, maintain, and expand the datasets used for sustainability impact assessment across global value chains. Design and implement data models and schemas that ensure consistency, integrity, and clear semantics across heterogeneous data sources. Develop and operate data pipelines to efficiently ingest, transform, and harmonize external datasets into well-structured, production-grade data assets. Implement robust validation, quality checks, and monitoring processes to ensure reliability and correctness of data over time. Build abstractions, tooling, and processes that empower data scientists and analysts to develop and test new pipelines safely and efficiently. Partner with product and engineering teams to make sustainability data available in ways that serve a variety of customer outcomes. You might be a fit if you: Have 6+ years of industry experience in data engineering or software engineering with a strong focus on data systems. Are fluent in Python and SQL, and have experience with data pipelining and transformation frameworks. Typescript is a plus! Have experience modeling and harmonizing data from diverse, messy, or inconsistent sources into structured, reliable datasets. Care about engineering craft: writing well-tested, maintainable code and building abstractions that scale. Are comfortable building data platforms and tooling that will be used by other engineers, scientists, and analysts. Communicate complex technical topics clearly to both technical and non-technical collaborators. Thrive in environments that combine systematic organization with attention to detail, ensuring data correctness while moving quickly. Are motivated by solving sustainability challenges and excited to do so at a fast-paced startup. Must be willing to work from an office 4 days per week (except for remote roles) Watershed has hub offices in San Francisco, New York, London, and Mexico City and satellite offices in Sydney, Paris, and Berlin. Where we have offices, employees are expected to be in office for 4 days per week. Certain jobs are open to being remote and will be specifically noted on the jobs page and in the job description if so. What’s the interview process like? It starts the same for every candidate: getting to know the team members through 1 to 2 conversations about Watershed, your experience, and your interests. Next steps can vary by role, but usual next steps are a skill or experience interview (e.g. a coding interview for an engineer, a portfolio review for a designer, deeper experience call for other roles) which leads to a virtual or in person interview panel. We prioritize transparency and lack of surprise throughout the process. What if I need accommodations for my interview? At Watershed, we are dedicated to ensuring an inclusive recruitment process. We provide reasonable accommodations for candidates with disabilities, long-term conditions, mental health needs, religious observances, neurodivergence, or pregnancy-related support requirements. If you need assistance during your process, please contact your recruiter.

At U.S. Bank, we’re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at—all from Day One. Job Description Key Responsibilities: Data Lake Architecture and Experience: Guide team to migrate from on Prem Cloudera to Azure cloud environment. Designed and implemented scalable data lake solutions using Snowflake and Databricks , Developed and optimized data pipelines for ingestion, transformation, and storage. Managed data governance, quality, and security across cloud environments and Implemented performance tuning, automation, and CI/CD for data workflows. Collaborated with cross-functional teams to support cloud migration activities Cloudera Cluster Management: Install, configure, manage, and monitor Cloudera Hadoop clusters, ensuring high availability, performance, and security. This includes managing HDFS, YARN, and other ecosystem components. Performance Optimization: Tune Hadoop, Hive, and Spark jobs and configurations for optimal performance, efficiency, and resource utilization. This includes optimizing queries, managing partitions, and leveraging in-memory capabilities. Troubleshooting and Support: Diagnose and resolve issues related to Linux servers, networks, cluster health, job failures, and performance bottlenecks. Provide on-call support and collaborate with other teams to ensure smooth operations. Security, Governance, and Secrets Management: Implement and manage security measures within the Cloudera environment, including Kerberos, Apache Ranger, and Atlas, to ensure data governance and compliance. Setup and manage HashiCorp Vault for secure keys and secrets management. Utilize CyberArk for privileged access management and secure administrative tasks on the cluster. Data and Application Migration: Migrate Hadoop, Hive, and Spark data and applications to Azure cloud services such as Azure Synapse Analytics, Azure Databricks, or Snowflake. Ensure data integrity, performance tuning, and validation. Automation and Scripting: Develop scripts (e.g., shell, Ansible, Python) for automating administrative tasks, deployments, and monitoring. Work with users to develop, debug, optimize Hive/Spark/Python programs that connect to the Cloudera environment. Documentation: Create and maintain documentation for system configurations, operational procedures, and troubleshooting knowledge bases. Vendor Collaboration: Work closely with the Cloudera vendor to stay current with the latest releases, perform upgrades, and address vulnerabilities. Basic Qualifications Advanced degree in Computer Science, Engineering, or related field. Deep expertise in Data Engineering and Management technologies, synthetic data, automation, advanced analytics. 10+ years of hands-on experience in Data engineering, Cloud platform management, and performance optimization. Hands-on experience with Hadoop, Hive, Spark, and migration of Big Data into Azure cloud services. Working knowledge and hands-on experience in Data Integration and Data Lake Architectures with Databricks and Snowflake platforms. Working knowledge of Microsoft Azure cloud and big data migration to cloud platforms. Experience with HashiCorp Vault for secrets and keys management. Experience with CyberArk for privileged access and administrative security tasks Proficiency in Linux, clustering, and distributed systems. Expertise in Hive and Spark for data processing and analytics. Expertise in Hadoop ecosystem components such as HDFS, YARN, Hive, Spark, and Sqoop. Proficiency in languages such as shell, Ansible, C/C++, Java, and Python, Pyspark for automating workflows, deployments, and monitoring. Expertise in Linux, Network, Python scripting, DNS, Kerberos, LDAP/AD, MySQL, PostgreSQL, JupyterHub. Experience in creating and maintaining documentation for system configurations, operational procedures, and troubleshooting knowledge bases. Strong problem-solving skills and the ability to diagnose and resolve system failures and performance bottlenecks. Excellent communication and collaboration skills to work effectively with cross-functional teams Preferred Skills and Experience: Strong experience with Cloudera Hadoop distribution administration. Strong problem-solving, analytical skills. Deep understanding of banking, operations, risk, and compliance—pairing technical fluency with business and regulatory acumen. Experience on change management process and addressing PCI and PII data requirements. Experience in cloud-native architectures (Azure/AWS), Kubernetes, Docker, and containerized workflows. Experience in implementing secure systems with secure API design, IAM integration, Kerberos, Active Directory, and Azure SSO The role offers a hybrid/flexible schedule, which means there's an in-office expectation of 3 or more days per week and the flexibility to work outside the office location for the other days. If there’s anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants . Benefits: Our approach to benefits and total rewards considers our team members’ whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following (some may vary based on role, location or hours): Healthcare (medical, dental, vision) Basic term and optional term life insurance Short-term and long-term disability Pregnancy disability and parental leave 401(k) and employer-funded retirement plan Paid vacation (from two to five weeks depending on salary grade and tenure) Up to 11 paid holiday opportunities Adoption assistance Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law. E-Verify U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about the E-Verify program . The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $105,400.00 - $124,000.00 U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures. Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies. Posting may be closed earlier due to high volume of applicants.

LivCor , a Blackstone portfolio company, is a real estate asset management business specializing in multi-family housing. Formed in 2013 and headquartered in Chicago, LivCor is currently responsible for a portfolio of over 400 Class A and B properties comprising more than 150,000 units in markets across the United States. Our business is focused on making real estate more valuable. But for us, it’s more than that. It’s people first, community always. It’s a life-filled career, not just a career-filled life. It’s doing good work, with good humans, and making a difference. It’s excellence in all its forms. Ultimately, we create great places to work, live, and grow. We do that by focusing on leaving people – and places – better than we found them. Whew! Still with us? Cool. Let’s talk about where you’d fit in: Only read further if you are: Kind Humble Honest Relentless Smart with Heart You should be: Authentic. You do you. Together, we’ll do something amazing. A passionate person with a love for real estate and investing; and believes that helping others win is a noble cause, essential to our success. An excellent team player who enjoys working with others and has strong interpersonal skills. Highly motivated , energeti c, and organized We are seeking a highly skilled Sr. Engineer, Data to join our dynamic data team. The ideal candidate will have extensive experience designing, building, and optimizing data pipelines using ADLS, Databricks, Snowflake, and Python. You will play a critical role in developing scalable data infrastructure to support analytics, machine learning, and business intelligence initiatives. This role will also support data needs of business-critical applications. What you will do: Design, develop, and maintain robust data pipelines using Databricks to process and transform large-scale datasets. Write efficient, reusable, and scalable SQL and/or Python code for data ingestion, transformation, and integration. Optimize data workflows for performance, reliability, and cost-efficiency in cloud environments. Collaborate with data scientists, analysts, and stakeholders to understand data requirements and deliver solutions. Implement data governance, security, and compliance best practices within data pipelines. Monitor and troubleshoot data pipeline issues, ensuring high availability and data integrity. Leverage Databricks for advanced analytics, machine learning workflows, and real-time data processing. Integrate data from various sources (APIs, databases, blob, SFTP, streams) into Datalake for centralized storage and querying. Mentor junior data engineers and contribute to team knowledge sharing. Stay updated on emerging data technologies and recommend improvements to existing systems. Performance Tuning and Optimization of all Data Ingestion and Data Integration processes, including the Data Platform and databases What you should have: Bachelor’s degree in computer science, Engineering, or a related field (or equivalent experience). 5+ years of experience in data or a related role; 3+ years of experience as a data engineer, software engineer and/or data warehouse engineer. Advanced proficiency in SQL and/or Python for data processing, scripting, and automation. Hands-on experience building and optimizing data pipelines. Strong expertise in data modeling, performance tuning, and SQL development. Experience with a cloud platform (AWS, Azure, or GCP) and their data services. Proficiency in ETL/ELT processes and tools for data integration. Understanding of data schema modeling (dimensions, measures, slowly changing dimensions) Familiarity with version control (e.g., Git) and CI/CD practices for data engineering workflows. Strong problem-solving skills and ability to work with complex, unstructured datasets. Excellent communication skills to collaborate with cross-functional teams. Strong communication skills, with the ability to initiate and drive projects proactively and accurately with a large, diverse team. An overwhelming desire to learn new things and to help people succeed. Preferred qualifications: Experience with Azure Databricks Delta Live Tables/Declarative Pipelines, Spark, DuckDB Familiarity with Azure Durable Functions Data Governance Frameworks and Unity Catalog Utilization of Parquet, Delta Lake, and/or Iceberg formats Data Modeling, Inmon vs Kimball (Star-Schema vs 3NF) ELT and/or Bronze, Silver, Gold transformation layers. What we offer: We believe that when we take care of our people, everything else follows. We’re committed to clear expectations, honest feedback, and helping you grow. That’s why we foster a culture that’s collaborative, inclusive, and refreshingly ego-free. We are good neighbors that lead with empathy, embrace curiosity, and put trust at the heart of everything we do. Together, we strive for excellence. We deeply value diversity in all its forms. We want people who sound, think, love, and live differently from one another. This isn’t a footnote—it’s foundational. Now, on to the practical stuff: Generous 401(k) match to help you plan for the future Fertility, adoption, and surrogacy support to grow your family your way Comprehensive health benefits , including medical, dental, and vision Hybrid work model with offices in Chicago, NYC, and Atlanta The LivCorian Values: Be you. Be Real. Be Open . You do you. Together, we will do something amazing. Care, Always. We don’t want to let anyone down. Courageously Curious. We love to learn, even when it hurts. Help Others Win, Be A Good Neighbor. This is about ‘We, not Me.’ Relentless Hustle, Heart & Humility . Work hard. Be Kind. Make Better. LivCor is proud to be a US EPA ENERGY STAR® Partner Base Compensation Range : $125,000.00 To $150,000.00 Annually. This represents the presently-anticipated low and high end of the Company’s base compensation range for this position. Actual base compensation range may vary based on various factors, including but not limited to location and experience. Total Direct Compensation : This job is also eligible for discretionary bonus and incentive compensation on an annual basis. Benefits : The Company provides a variety of benefits to employees, including health insurance coverage, retirement savings plan, paid holidays and paid time off (PTO). The additional total direct compensation and benefits described above are subject to the terms and conditions of any governing plans, policies, practices, agreements, or other materials or documents as in effect from time to time, including but not limited to terms and conditions regarding eligibility. Please review the job applicant privacy notice here . EEO Statement LivCor is an equal opportunity employer. In accordance with applicable law, we prohibit discrimination against any applicant, employee, or other covered person based on any legally recognized basis, including, but not limited to: veteran status, uniformed servicemember status, race, color, caste, immigration status, religion, religious creed (including religious dress and grooming practices), sex, gender, gender expression, gender identity, marital status, sexual orientation, pregnancy (including childbirth, lactation or related medical conditions), age, national origin or ancestry, citizenship, physical or mental disability, genetic information (including testing and characteristics), protected leave status, domestic violence victim status, or any other consideration protected by federal, state or local law. We are committed to providing reasonable accommodations, if you need an accommodation to complete the application process, please email talent@revantage.com

Data Scientist 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 artificial 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 leadership skills and data science expertise to create real-world impact. You’ll work closely with 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 guide teammates and lead the development of algorithms and systems. You’ll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they 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: 3+ years of experience with using programming languages to manipulate and analyze data, including Python, R, and SQL Experience with deploying and maintaining user-facing or user-accessible models Experience with data cleansing, data analytics, inferential statistics, programming, data visualization, and system integration to provide data solutions Experience with developing data visualizations, dashboards, or lightweight web applications to communicate key insights Knowledge of research design principles Knowledge of analytic methods and methodological tools used in applied mathematics, computer programming, or data visualization Ability to apply supervised and unsupervised machine learning algorithms on structured and unstructured datasets TS/SCI clearance with a polygraph Bachelor’s degree Nice If You Have: Experience with project management, project planning, and technical documentation Knowledge of psychometric theory and assessment validation methodologies such as Item Response Theory and Factor Analysis Knowledge of data strategy and data governance Ability to advise clients on the acquisition of data, data management, and data infrastructure Ability to execute projects and tasks with minimal guidance and supervision 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 $99,000.00 to $225,000.00 (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.

Data EngineerJob Category: Information TechnologyTime Type: Full timeMinimum Clearance Required to Start: SecretEmployee Type: RegularPercentage of Travel Required: Up to 10%Type of Travel: Continental US* * * The Opportunity: CACI is actively seeking a Data Engineer to support Naval Surface Warfare Center (NSWC) Corona. As a Data Enginee r you will support one of the departments within NSWC Corona and provide expertise in support of multiple technical projects with a variety of stakeholders/sponsors. Responsibilities: • Design, develop, and maintain data pipelines. Using a variety of data engineering tools.• Work in a team environment.• Create and execute queries into various databases including SQL Server and Oracle DB in order to find relevant and curate relative data.• Create and train various Large Language models (LLMs) and other Machine Learning Models.• Develop and work with Machine Learning and Natural Language Processing systems and integrate with existing products.• Work with technical leads and project managers on architecting data engineering solutions.• Researching and staying up to date with the latest ETL tools, AI/Machine Learning Models, and Data Science applications.• Analyze large data sets to derive insights, analyze trends, and create predictive models.• Maintain code repositories and follow change management protocols.• Collaborate with Team Members across multiple projects.• Provide recommendations for process development and improvement.• Communicate findings effectively through data visualization techniques such as charts, graphs, and dashboards. Qualifications: Required: Relevant Degree or US Navy equivalent work experience. 3-5 years of experience statistical analysis. Strong verbal and written communication capabilities. Code/Programming Language Fluency in Python, SQL, and knowledge of frameworks such as PyTorch, Tensorflow, and Keras. Experience with AI & Machine Learning. Desired: Knowledge of the Navy and Navy Organization. Knowledge of Data Science, Big Data and its applications. Knowledge of data COTS tools. Experience with using Cloud native tools. Experience with soft ware development process. - ________________________________________________________________________________________ What You Can Expect: A culture of integrity. At CACI, we place character and innovation at the center of everything we do. As a valued team member, you’ll be part of a high-performing group dedicated to our customer’s missions and driven by a higher purpose – to ensure the safety of our nation. An environment of trust. CACI values the unique contributions that every employee brings to our company and our customers - every day. You’ll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality. A focus on continuous growth. Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground — in your career and in our legacy. Your potential is limitless. So is ours. Learn more about CACI here. ________________________________________________________________________________________ Pay Range : There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. Learn more here . Since this position can be worked in more than one location, the range shown is the national average for the position. The proposed salary range for this position is: $63,300-$129,700 CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.

Who We Are EDO is the TV outcomes company. Our leading measurement platform connects convergent TV airings to the ad-driven consumer behaviors most predictive of future sales. EDO empowers the advertising industry to maximize media impact, optimize creative performance, and know the fair value of every impression — across linear and streaming for an increasingly programmatic world. By combining immediate engagement signals with world-class decision science and vertical AI, EDO equips industry leaders with syndicated, investment-grade data that aligns media to business results — with detailed competitive, category, and historical insights. Leading brands, agencies, networks, streamers, and studios trust EDO’s TV intelligence to know what works. EDO is headquartered in New York City and Los Angeles with an office space in San Francisco. We recognize the benefits of hybrid working, and want to create the best balance to ensure we can continue working together effectively. We have a hybrid work policy of three days in the office and two remote work days. To learn more about the work we do at EDO, please visit EDO Press . The Role As a Senior Data Engineer at EDO, you will join a team of talented Data Engineers working closely with Data Scientists to build out our next generation Ad EnGage data pipeline. This pipeline measures and optimizes the effectiveness of advertising by combining and analyzing dozens of sources of advertising occurrence data, advertising outcome data, identity resolution data, and various other types of data. Our clients use these insights to make critical business decisions about their advertising strategy. You will work with large data sets (trillions of rows and hundreds of TB of data) using a modern tech stack centered on AWS, Airflow, DBT, and Snowflake. What We Are Looking For Production experience building complex data pipelines. A self-driven individual who eagerly takes ownership of projects in a startup environment. Good working knowledge of data warehousing platforms (such as Snowflake, Redshift, etc), cloud computing (such as AWS), and ETL/data pipeline technologies (such as Airflow, DBT). A minimum of 5 years of software engineering experience, including at least 2 years of data engineering experience. Proficiency with SQL and a scripting language such as Python or Ruby. A strong understanding of software engineering practices, principles, and fundamentals. Able to balance engineering considerations with business considerations. Previous industry experience working with TV or other advertising data is a plus. Compensation and Benefits EDO offers a competitive compensation package. Components of compensation include: Mid-stage equity and competitive salary Flexible Time Off Medical, dental and vision coverage: EDO provides full coverage for individual medical plans and partial coverage for dependent or family plans. 401(k) plan, FSA, HSA Commuter Benefits When in an office, employee meals, snacks, and more In compliance with New York and California Pay Transparency Law, the salary range for this position is $165,000 to $190,000 plus equity. We note the salary information as a general guideline only, as actual compensation may vary from posting. We will consider various factors to determine the offer for this role, including the scope and responsibilities of the position, relevant work experience, key skills, training, and business considerations. EDO is an Equal Opportunity Employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status, or any legally protected status. All your information will be kept confidential according to EEO guidelines.

Site: Mass General Brigham Incorporated Mass General Brigham relies on a wide range of professionals, including doctors, nurses, business people, tech experts, researchers, and systems analysts to advance our mission. As a not-for-profit, we support patient care, research, teaching, and community service, striving to provide exceptional care. We believe that high-performing teams drive groundbreaking medical discoveries and invite all applicants to join us and experience what it means to be part of Mass General Brigham. MGB Digital is hiring a vital member of the team, Payment Card Industry Data Security Standard (PCI DSS) Information Security Analyst IIIFull TimeComprehensive BenefitsPTO starts to accrue day 1Hybrid Working Model Job Summary SummaryThe Payment Card Industry Data Security Standard (PCI DSS) Information Security Analyst III serves as the lead of Mass General Brigham’s PCI DSS compliance program within Digital Information Security. The incumbent will be a subject matter expert in Payment Card Industry Standards, related technical infrastructure, and audit compliance. They will be responsible for leading Mass General Brigham up to the next level of PCI Compliance as an organization that processes payment card data. This role is responsible for assessing if MGB’s information assets are protected in accordance with all PCI-DSS policies, controls, industry standards, and frameworks. They will work to develop, implement, and maintain a comprehensive information compliance program that encompasses all aspects of the PCI compliance management lifecycle—including scoping, control validation, evidence collection, remediation tracking, and annual third-party assessments.The PCI Information Security Analyst III will act as a strategic partner to internal stakeholders and external assessors, ensuring that cardholder data is properly secured, regulatory obligations are met, and enterprise risk is minimized. Essential Functions-Acts as a subject matter expert leader within the team, guiding and mentoring junior and mid-level teammates. -Drives innovation by researching and proposing improved security solutions and technologies within their domain.-Solves complex business problems, including system-wide issues and critical incidents by applying technical and security subject matter expertise in support of business goals. -Drives cross-functional collaboration with vendors, partners and stakeholders to maximize the effectiveness of our solutions. Qualifications Associate's Degree Related Field of Study required Bachelor's Degree Related Field of Study highly preferred Can this role consider and review experience in lieu of a degree? Yes Relevant experience 5-7 years required Skills For Success Expertise in cybersecurity concepts within their domain. Strong understanding of cybersecurity concepts outside of specific individual domain. Expertise with the tools and solutions supported by the team. An ability to apply original and innovative thinking to produce new ideas. Strong leadership, communication and project management skills. Strong decision-making capabilities, with a proven ability to weigh the relative costs and benefits of potential actions and identify the most appropriate one. Additional Job Details (if applicable) Working Model & Additional Details M-F Eastern Business Hours required Hybrid onsite Flexible working model required weekly includes onsite in office (number of days weekly can vary, must be flexible for business needs) 1-2 onsite days per week generally, must be flexible for business needs Remote working days require stable, secure, quiet, compliant working station with MGB issued equipment The salary range for this position is $92,102.14 to $155,032,25 annually . At Mass General Brigham, we believe in recognizing and rewarding the unique value each team member brings to our organization. Our approach to determining base pay is comprehensive, and any offer extended will take into account your skills, relevant experience, if applicable, education, certifications, and other essential factors. The base pay information provided offers an estimate based on the minimum job qualifications; however, it does not encompass all elements contributing to your total compensation package. In addition to competitive base pay, we offer comprehensive benefits, career advancement opportunities, differentials, premiums, and bonuses as applicable, and recognition programs designed to celebrate your contributions and support your professional growth. We invite you to apply, and our Talent Acquisition team will provide an overview of your potential compensation and benefits package Remote Type Hybrid Work Location 399 Revolution Drive Scheduled Weekly Hours 40 Employee Type Regular Work Shift Day (United States of America) Pay Range $92,102.40 - $134,056.00/Annual Grade 7At Mass General Brigham, we believe in recognizing and rewarding the unique value each team member brings to our organization. Our approach to determining base pay is comprehensive, and any offer extended will take into account your skills, relevant experience if applicable, education, certifications and other essential factors. The base pay information provided offers an estimate based on the minimum job qualifications; however, it does not encompass all elements contributing to your total compensation package. In addition to competitive base pay, we offer comprehensive benefits, career advancement opportunities, differentials, premiums and bonuses as applicable and recognition programs designed to celebrate your contributions and support your professional growth. We invite you to apply, and our Talent Acquisition team will provide an overview of your potential compensation and benefits package. EEO Statement: Mass General Brigham Incorporated is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law. We will ensure that all individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. To ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veteran’s Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact Human Resources at (857)-282-7642. Mass General Brigham Competency Framework At Mass General Brigham, our competency framework defines what effective leadership “looks like” by specifying which behaviors are most critical for successful performance at each job level. The framework is comprised of ten competencies (half People-Focused, half Performance-Focused) and are defined by observable and measurable skills and behaviors that contribute to workplace effectiveness and career success. These competencies are used to evaluate performance, make hiring decisions, identify development needs, mobilize employees across our system, and establish a strong talent pipeline.

FleetPride is the largest after-market distributor of heavy-duty truck and trailer parts in the U.S. with some of the best and brightest people in the business! Partner with the best in the heavy-duty industry and apply today! We are seeking a highly skilled and experienced Senior Developer with expertise in Master Data Management (MDM). The ideal candidate will play a pivotal role in designing, developing, and maintaining effective MDM solutions that drive informed business decision-making. Responsibilities: MDM Solution Design: Collaborate with stakeholders to understand business requirements and translate them into effective Master Data solutions. Design and architect MDM solutions utilizing base Stibo STEP functionality, as well as custom workflows, business rules, and exports where needed. Understand the impact and changes needed to subscribing systems to ensure solutions meet the needs of the business. Development and Implementation: Lead the development and implementation of Master Data Solutions, ensuring data accuracy, reliability, and performance. Create, develop, and optimize solutions to allow for complex workflows, business rules, and JSON exports to be integrated into subscribing systems. Data Modeling: Develop and maintain data models to support Auto Care standards and company needs. Implement best practices in data modeling to ensure scalability and decrease time to market for product data to subscribing systems. Data Quality and Accuracy Design and develop methods to ensure data accuracy and display quality metrics around product data. Ensure that the end-users are provided actionable insights to increase data quality and accuracy. Integrations to Subscribing Systems: Leverage Azure Data Factory and EventHub for data integration and ETL processes to subscribing systems. Implement and manage data pipelines in Azure to Master Data and e-commerce initiatives. Subscribing System Expertise: Demonstrate proficiency in designing, implementing, and optimizing solutions that will feed e-commerce, search, and other subscribing systems. Strong SQL skills are needed to ensure the exported data from Stibo STEP are formatted correctly for subscribing systems using various databases, such as SalesForce and DB2. Performance Tuning and Optimization: Monitor and optimize the performance of MDM solutions, identifying and resolving bottlenecks. Implement best practices for data processing and integrations to decrease time-to-market. Collaboration and Training: Collaborate with cross-functional teams to ensure alignment of MDM initiatives with overall business objectives. Provide training and support to end-users on the effective use of MDM tools and systems. FleetPride is the leader in the industry comprised of retail, service, distribution and wholesale divisions. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Job Title: Data Call Workstream Lead Clearance Required: Public Trust – Federal Client requires US Citizenship Work Location: Bethesda/Hybrid Alpha Omega is searching for an experienced Data Call Workstream Leadto join one of our long-term Federal projects. This role will involve leading requirements gathering, development, and deployment of an automated data call solution. The client is responsible for both responding to data calls and sending data calls to consolidate budget information. A data call solution will be developed to automate the client's data call processes. Skills should include a combination of Power BI, Power Apps, SharePoint Online as well as knowledge of federal reporting requirements. Key Responsibilities: 2+ years of experience is required. Oversee all aspects of data call development, including planning, execution, and delivery. Coordinate data collection efforts, ensure data quality, and manage stakeholder communications. Synthesize collected data to produce actionable insights and reports. Ensure compliance with privacy and security standards. Salary and Benefit Information: The likely salary range for this position is $85,000- $125,000. This is not, however, a guarantee of compensation or salary. There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, education and certifications as well as contract provisions regarding labor categories that are specific to the position and could fall outside of this range. Application Deadline: February 24, 2026 Joining the Alpha Omega team entitles you to participate in all retirement benefits, plans of deferred compensation, health and insurance benefits, and other such benefits as set forth in the company’s policy and benefits manuals. See below, to name a few: PTO including paid parental, military, and bereavement leave Eleven (11) paid Federal holidays, five of which are floating holidays (as designated by the company’s holiday schedule each year) Health and Dental Insurance (including 100% employer paid premiums for employee coverage under the HDHP health plan) Life Insurance, STD/LTD term disability coverage, with employer paid premiums 401 (k) plan with a match that is 100% vested after you complete two years of service FSA/DFSA/HSA flexible benefit plans Annual Tuition & Professional Development Reimbursement benefit We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most. Culture and Values: Guided by our core values—Harmony, Engagement, Accountability, Resourcefulness, and Tenacity (HEART)— we foster a culture of innovation, collaboration, and continuous learning and are committed to delivering high-impact solutions. We recognize and reward hard work. Through our H.E.A.R.T. Awards Program, colleagues and managers can recognize each other for actions that exemplify these values. Recognized employees receive a detailed nomination highlighting their contributions, which is shared with their manager. Each quarter, select nominees have the opportunity to receive a monetary bonus as an extra thank-you for their impact. Our Company: Alpha Omega is an award-winning Federal IT solutions provider dedicated to delivering mission-enabling technology and strategic solutions across the National Security, Federal Financial, Healthcare, and Space & Science domains. Since our founding in 2016, we have grown to over 800 employees nationwide with $230m in revenue. With the January 2025 acquisitions of SeKON and Macro Solutions, we have expanded our capabilities to further support our customers in digital modernization, artificial intelligence, and cybersecurity. We are committed to supporting our agency partners as they transform their operations, delivering on our purpose to ensure the safety, security, and well-being of future generations: National Security – Supporting agencies such as the Department of Homeland Security (DHS) and the Department of State. Federal Financial – We bring deep expertise in enterprise financial systems, supporting agencies like the Securities and Exchange Commission (SEC) and the Federal Deposit Insurance Corporation (FDIC). Healthcare – Our Health IT capabilities, enhance health outcomes for the warfighter via the Defense Health Agency (DHA) and support public health initiatives at the Centers for Disease Control and Prevention (CDC), National Institutes of Health (NIH), and the Substance Abuse and Mental Health Services Administration (SAMHSA). Space & Science – We leverage technology to advance agricultural sustainability, secure our nation’s food supply, and prepare for natural disasters, working with the National Oceanic and Atmospheric Administration (NOAA) and the United States Department of Agriculture (USDA). Through strategic partnerships, intellectual property, and relentless drive for innovation, Alpha Omega is shaping the future of government technology. We are proud to be a Virginia Best Places to Work 8 times, an Inc. 5000 honoree 7 times, and a Washington Post Top Workplaces 4 times. Join us in driving transformation that secures the nation's future. Alpha Omega Integration, LLC (Alpha Omega) is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other protected class.

(ID: 2025-0941) Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers and healthcare organizations nationally and abroad. With experts in biomedical science, software engineering, and program management, we focus on developing and applying research tools and techniques to empower decision-making and accelerate research discoveries. We work with some of the top research organizations and facilities in the country including multiple institutes at the National Institutes of Health (NIH). Axle is seeking a Senior Healthcare Data Engineer to join our vibrant team at the National Institutes of Health (NIH) supporting the National Center for Advancing Translation Sciences (NCATS) located in Rockville, MD. Benefits We Offer: 100% Medical, Dental & Vision Coverage for Employees Paid Time Off and Paid Holidays 401K match up to 5% Educational Benefits for Career Growth Employee Referral Bonus Flexible Spending Accounts: Healthcare (FSA) Parking Reimbursement Account (PRK) Dependent Care Assistant Program (DCAP) Transportation Reimbursement Account (TRN) About the Mission: Join the team at the forefront of revolutionizing medical research in the United States. We are building and maintaining the foundational infrastructure of the National Clinical Cohort Collaborative (N3C), the nation’s largest and most significant public repository of harmonized electronic health record (EHR) data. What began as a critical response to the pandemic has evolved into a multi-disease, terabyte-scale resource that empowers researchers to make discoveries faster than ever before. This isn't just another data engineering job. This is a chance to leave your mark on a national-scale platform, solve complex data challenges that directly impact public health, and work with a passionate team dedicated to smarter science and better treatments for all. The Opportunity: Your Impact We are looking for a visionary Senior Healthcare Data Engineer to be a lead architect of our data ingestion and harmonization ecosystem. You will be instrumental in N3C’s next evolutionary step: the transition to a scalable, secure, and flexible “Dynamic Workspaces" model. You won’t just be maintaining pipelines; you will be re-architecting, modernizing, and scaling the systems that ingest and harmonize a diverse torrent of data. From EHRs and CMS claims to cancer registries and geospatial data, you will be making it research-ready for thousands of scientists. If you are a builder who thrives on complex challenges and wants your work to have a tangible, lasting impact on science and medicine, we want to talk to you. What You'll Do: Architect and Modernize National-Scale Data Pipelines: Design, develop, and optimize robust, disease-agnostic data acquisition and ingestion pipelines built to handle the complexity and scale of N3C. Master Data Integration and Harmonization: Tackle the complex challenge of harmonizing heterogeneous clinical data from countless sources. You will maintain and enhance the OMOP harmonization pipeline, improve interoperability between common data models (e.g., OMOP, PCORNet, FHIR), and ensure consistency for critical data like medications and lab values. Build the Future with Dynamic Workspaces: Be a key technical player in developing the infrastructure for N3C's new Dynamic Workspaces. You will help build the systems that provision secure, project-specific analytical environments, giving researchers access to the specific data they need while providing institutions granular control. Champion Data Quality and Governance: Develop and implement sophisticated data quality frameworks, creating dashboards and feedback loops to ensure our data partners and researchers have transparent insight into data completeness, consistency, and quality. Innovate with Advanced Technologies: Integrate critical new data sources, including national mortality data and CMS. You will link datasets and help build the processes for integrating novel data types like geospatial and environmental data. Collaborate and Lead: Work alongside a world-class team of scientists, project managers, and engineers to translate scientific needs into technical solutions. You will provide technical leadership and mentorship, driving best practices in an agile, mission-focused environment. What You'll Bring (Required Qualifications): A deep passion for using technology to solve meaningful problems in healthcare and medical research. Bachelor's or Master's degree in Computer Science, Data Engineering, Bioinformatics, or a related field, with 8+ years of hands-on experience in data engineering (or 5+ years with a Master's). Expert-level proficiency in Python and SQL, with a proven track record of building and maintaining complex, large-scale data pipelines and ETL processes. Significant experience with healthcare data is essential. You must have deep, practical knowledge of common data models (CDMs), particularly OMOP and/or FHIR , and experience with clinical terminologies (e.g., ICD, SNOMED, RxNorm). Strong experience with big data technologies (e.g., Apache Spark, Hadoop) and containerization using Docker for creating reproducible and scalable workflows. Proficiency with version control (Git) and CI/CD practices for data infrastructure. An architectural mindset with the ability to design for scalability, reliability, and security. What Sets You Apart (Preferred Qualifications): Experience designing and deploying data solutions on cloud platforms (AWS, GCP, Azure). Proficiency with modern workflow management systems (e.g., Nextflow, Snakemake, Airflow). Experience with privacy-preserving record linkage (PPRL) techniques and the challenges of working with de-identified patient data. Familiarity with federated data systems and architectures. Experience working in a regulated data environment (e.g., FISMA, HIPAA). Disclaimer: The above description is meant to illustrate the general nature of work and level of effort being performed by individuals assigned to this position or job description. This is not restricted as a complete list of all skills, responsibilities, duties, and/or assignments required. Individuals may be required to perform duties outside of their position, job description or responsibilities as needed. The diversity of Axle’s employees is a tremendous asset. We are firmly committed to providing equal opportunity in all aspects of employment and will not tolerate any illegal discrimination or harassment based on age, race, gender, religion, national origin, disability, marital status, covered veteran status, sexual orientation, status with respect to public assistance, and other characteristics protected under state, federal, or local law and to deter those who aid, abet, or induce discrimination or coerce others to discriminate. Accessibility: If you need an accommodation as part of the employment process please contact: careers@axleinfo.com This role has a market-competitive salary with an anticipated base compensation range listed below. Actual salaries will vary depending on a candidate’s experience, qualifications, skills, and location. #IND Salary Range $150,000 - $190,000 USD

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU. If you'd like to build the world's best AI cloud, join us. *Note: This position requires presence in our Chicago/Elk Grove Village Data Center location 5 days per week. The Operations team is at the heart of keeping our AI-IaaS infrastructure running smoothly from start to finish. They handle everything from sourcing the right hardware and components to keeping our data centers performing at their best day in and day out. The team also works closely across the company, making sure our operational capabilities stay in sync with product goals and overall strategy. By managing the entire lifecycle — from procurement through deployment and ongoing efficiency — the Operations team ensures our AI infrastructure stays reliable, scalable, and ready to support the business as it grows. What You’ll Do Make sure new servers, storage, and networking gear are racked, labeled, cabled, and configured the right way. Keep data center layouts and network topologies up to date in our DCIM software. Coordinate with supply chain and manufacturing teams so systems are deployed on time, especially for large-scale projects. Evaluate current and future data center needs based on growth and technology trends. Manage parts depot inventory and track equipment as it moves from delivery → storage → staging → deployment → handoff. Work closely with hardware support teams to get tickets resolved quickly. Create and manage RMA tickets when needed, making sure faulty parts are replaced and reinstalled without delay. Develop and maintain installation standards (placement, labeling, cabling) to ensure consistency across all data centers. Act as a subject matter expert on data center deployments, supporting sales engagements for major deployments in our facilities or at customer sites. You Sourcing & Procurement Researching, evaluating, and securing the right hardware and infrastructure components. Building relationships with peers and supply chain to ensure cost-effective and timely supply. Data Center Operations Monitoring day-to-day performance of data centers to maintain uptime and efficiency. Troubleshooting and resolving hardware or infrastructure issues quickly. Performing regular maintenance and upgrades to keep systems running at peak performance. Deployment & Lifecycle Management Overseeing the full lifecycle of infrastructure, from initial setup to ongoing optimization. Coordinating deployments of new hardware and ensuring seamless integration with existing systems. Managing capacity planning to make sure infrastructure can scale with business growth. Cross-Team Collaboration Working with product management, support, and other teams to align operational capabilities with company goals. Translating business priorities into technical and operational requirements. Supporting cross-functional projects where infrastructure plays a critical role. Reliability & Scalability Ensuring infrastructure remains stable, secure, and scalable as demand increases. Continuously improving processes to boost efficiency and reduce downtime risks. Nice to Have Certifications: Any Linux or project management. Military background. Experience in the machine learning or computer hardware industry Salary Range Information The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About Lambda Founded in 2012, with 500+ employees, and growing fast Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG Our values are publicly available: https://lambda.ai/careers We offer generous cash & equity compensation Health, dental, and vision coverage for you and your dependents Wellness and commuter stipends for select roles 401k Plan with 2% company match (USA employees) Flexible paid time off plan that we all actually use A Final Note: You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills. Equal Opportunity Employer Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

Department: 12284 Enterprise Corporate- IAS Business Intelligence Status: Full time Benefits Eligible: Yes Hou rs Per Week: 40 Schedule Details/Additional Information: Remote- Weekdays Pay Range $37.50 - $56.25 Major Responsibilities: Analyze, develop, and enhance analytical and operational data solutions/platforms to meet complex business needs. Lead metric and/or technical design and documentation efforts in collaboration with operational and IT teams, ensuring alignment with strategic objectives and effective use of data. Lead multiple medium to large-scale projects and requests using standard project management tools and methodologies. Translate business requirements into well-designed and validated data solutions that support organizational goals including analysis and validation of data from raw source to data solution. Provide thorough and accurate documentation for all work, adhering to current industry standards. Provide production support for ETL/ELT/data solutions, including problem analysis, design, implementation, and rigorous testing of data models, data integrations (ETL, ELT, API,etc.), and reports. Perform data solutions administration activities including training, on call and/or participating in upgrades/changes through all phases with minimal oversight. Identify and manage change effectively and efficiently in a changing environment through use of standard processes and tools, working with teammates to utilize change management processes and tools to create plans to support adoption of changes required by project or initiative. Stay abreast of healthcare environment, EHR, ERP, Cloud, SQL, and BI technology, and industry trends to build professional skills and drive innovation. Mentor junior team members and provide expertise in the analysis and development of Enterprise data solutions. Minimum Job Requirements Education Bachelor's degree in computer science or equivalent knowledge. Certification / Registration / License Epic certification(s) in relevant Cogito/reporting application (status of Certified or Accredited) depending on system access Workday certification(s) in relevant WD reporting application depending on system access Learning plan requirements to be provided with offer includes any missing Epic Cogito and/or Workday certifications needed to perform role, and certifications must be obtained within 5 months of starting first class Experience Typically requires 2-4 years of experience in a healthcare or comparable setting working with report, data, or analytics development. Specifically, experience with some or all: enterprise EHR, Rev Cycle, and/or ERP application (depending on role); data/BI tools such as Business Objects, Epic Slicer Dicer, PowerBI, Tableau, etc.; database content creation (database tables, views, stored procedures); traditional database platforms such as Oracle, SqlServer, DB2, etc.; cloud data development platforms such as Snowflake, Fabric/Synapse, Redshift, BigQuery,etc.; significant SQL, Python, Java or other data manipulation, procedural, or scripting languages; ETL/ELT and data orchestration tools such as SSIS, ADF, DB2, Informatica, DataStage, etc.; healthcare knowledge (EHR, Quality or ERP data experience). Knowledge / Skills / Abilities Communicate effectively with stakeholders, and cross-functional teams at all organizational levels. Show excellent analytical and logical thinking, creativity, self-reliance, communication skills, and the ability to work with various components of a system. Have experience in logical and physical database design, data modeling, complex queries, business intelligence and ETL tools, and change control methodology. Strong understanding of data visualization and data storytelling concepts and EHR and ERP workflows and reporting. Strong change management skills and understanding of change management processes. Work independently or as part of a team and manage multiple priorities while completing tasks efficiently. Be a team player with a positive attitude, a strong commitment to customer service, and a willingness to learn healthcare systems and business processes. Perform independent analysis on key clinical, financial, ERP, and operational metrics. Manage multiple small to medium-sized projects and tasks effectively. Mentor and develop junior teammates Create clear documentation to support education and presentation efforts. Self-motivated, solution-focused, and able to function with minimal supervision. Understanding of software or data development lifecycle and process design Proficiency with Microsoft products, EHR and ERP workflows and reporting, as well as hardware and software systems. Knowledge of ETL/ELT tools and principles, supporting robust data integration and transformation processes. Maintain technical currency and advanced certifications in specialized areas of responsibility Physical Requirements and Working Conditions Travel outside of workplace is required and thus incumbent is exposed to weather and road conditions. Operates all equipment necessary to perform the job. Exposed to normal office environment. Remote work environment. This job description indicates the general nature and level of work expected of the incumbent. It is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities required of the incumbent. Incumbent may be required to perform other related duties. Our Commitment to You: Advocate Health offers a comprehensive suite of Total Rewards: benefits and well-being programs, competitive compensation, generous retirement offerings, programs that invest in your career development and so much more – so you can live fully at and away from work, including: Compensation Base compensation listed within the listed pay range based on factors such as qualifications, skills, relevant experience, and/or training Premium pay such as shift, on call, and more based on a teammate's job Incentive pay for select positions Opportunity for annual increases based on performance Benefits and more Paid Time Off programs Health and welfare benefits such as medical, dental, vision, life, and Short- and Long-Term Disability Flexible Spending Accounts for eligible health care and dependent care expenses Family benefits such as adoption assistance and paid parental leave Defined contribution retirement plans with employer match and other financial wellness programs Educational Assistance Program About Advocate Health Advocate Health is the third-largest nonprofit, integrated health system in the United States, created from the combination of Advocate Aurora Health and Atrium Health. Providing care under the names Advocate Health Care in Illinois; Atrium Health in the Carolinas, Georgia and Alabama; and Aurora Health Care in Wisconsin, Advocate Health is a national leader in clinical innovation, health outcomes, consumer experience and value-based care. Headquartered in Charlotte, North Carolina, Advocate Health services nearly 6 million patients and is engaged in hundreds of clinical trials and research studies, with Wake Forest University School of Medicine serving as the academic core of the enterprise. It is nationally recognized for its expertise in cardiology, neurosciences, oncology, pediatrics and rehabilitation, as well as organ transplants, burn treatments and specialized musculoskeletal programs. Advocate Health employs 155,000 teammates across 69 hospitals and over 1,000 care locations, and offers one of the nation’s largest graduate medical education programs with over 2,000 residents and fellows across more than 200 programs. Committed to providing equitable care for all, Advocate Health provides more than $6 billion in annual community benefits.

With a career at The Home Depot, you can be yourself and also be part of something bigger. Position Purpose: A Sr Data Analyst leverages proven technical abilities to synthesize complex analytical tasks into easily understood data-driven stories. Responsible for working collaboratively among other talented analysts to apply established and create new analytical processes on diverse datasets to deduce insights and solve real-world business problems. Also ensures that all reporting and analytical responsibilities are completed competently in a timely manner, continually seeks out opportunities to learn new and hone existing technical skills (e.g. writing SQL/code, statistics, machine learning, etc.) and operates under minimal supervision and mentorship of more experienced managers and data scientists. Key Responsibilities: 30% Leverages data analytics tools to create new dashboards, reports, and any additional ad-hoc requests 20% Executes existing reporting and analytical responsibilities 20% Ensures the quality of work output by displaying a keen attention to detail 20% Presents findings in easily understood ways, focuses on how the data analytics fits into the bigger picture 10% Develops additional technical competencies and subject matter expertise within core functional group Direct Manager/Direct Reports: This position reports to Manager or Sr Manager This position has no Direct Reports Travel Requirements: Typically requires overnight travel less than 10% of the time. Physical Requirements: Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles. Working Conditions: Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable. Minimum Qualifications: Must be eighteen years of age or older. Must be legally permitted to work in the United States. Preferred Qualifications: Experience in writing complex SQL queries Experience with data visualization using Tableau or similar tools Experience with developing dashboards, KPIs, and benchmarks Prior direct experience in analyzing the relevant subject matter (e.g. Rental, Merchandising, Operations, Store Experience etc.) Experience in MS Excel, MS Access or other analytical tools required. Experience with Hadoop, R, SAS or other relevant statistical modeling tools/languages. Experience with a variety of statistical modeling and regression analysis techniques and their practical business applications. Minimum Education: The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job. Preferred Education: No additional education Minimum Years of Work Experience: 2 Preferred Years of Work Experience: No additional years of experience Minimum Leadership Experience: None Preferred Leadership Experience: None Certifications: None Competencies: Optimizes Work Process Customer Focus Business Insight Financial Acumen Resourcefulness

We are looking for a Customer Data Analyst to join our founding team. This is an opportunity to work directly with the CEO and play a pivotal role in shaping both how we deliver value to customers and how we evolve the product. You will work closely with our design partners—helping them make sense of complex data, uncover patterns, and translate insights into actions that improve their GTM performance. At the same time, you’ll synthesize customer feedback into structured insights that will guide our product roadmap. This role is ideal for someone who thrives in ambiguity, sees data as a puzzle to solve, and wants to work at the intersection of customer-facing work, analytics, and product strategy. About Upside Upside is solving the B2B go-to-market problem with AI. We unify, structure, and use AI to enhance GTM data. Our team is ex-Branch ($4b valuation, $100m+ ARR), and we’re seed-stage, moving fast, and partnering closely with well-known companies as design partners to shape the product. Why this role exists We are looking for a Customer Data Analyst to join our founding team. This is an opportunity to work directly with the CEO and play a pivotal role in shaping both how we deliver value to customers and how we evolve the product. You will work closely with our design partners—helping them make sense of complex data, uncover patterns, and translate insights into actions that improve their GTM performance. At the same time, you’ll synthesize customer feedback into structured insights that will guide our product roadmap. This role is ideal for someone who thrives in ambiguity, sees data as a puzzle to solve, and wants to work at the intersection of customer-facing work, analytics, and product strategy. What you’ll do Own design-partner outcomes: onboard, troubleshoot, and guide early customers to measurable wins and deeper adoption. Analyze multi-source data: wrangle CRM/RevOps, marketing touchpoints, and product signals; find patterns and attribution insights that change decisions. Tell the story: package findings into short narratives, dashboards, and recommendations executives will act on, help them create QBR and board slides. Close the loop with product: translate customer pain+ data learnings into prioritized, testable product requirements. Build for scale: create playbooks, frameworks, and lightweight instrumentation that make future implementations faster and more reliable. Be the voice of reality: pressure-test assumptions, validate data quality, and call out hallucinations before customers see them. You might be a fit if you have 4–5 years in customer success, data analysis, management consulting, RevOps, or similar, ideally in B2B SaaS. GTM fluency: you understand how sales/marketing/revenue ops actually run (pipelines, campaigns, stages, SLAs, attribution basics). Hands-on analytics: strong SQL; comfort with spreadsheets + a BI tool (Mode/Metabase/Looker/Power BI). Python/R is a plus. Data storytelling: you can turn a messy dataset into a 1-pager an exec will forward. Customer presence: consultative, calm under ambiguity, and credible with VP/C-level. Builder energy: you prefer 0→1, document as you go, and don’t wait for perfect specs. Bonus: management consulting, startup/early-stage experience, dbt familiarity, Salesforce/HubSpot/Gong chops, knowledge of MMM/multi-touch attribution tradeoffs. Bonus+: This tweet feels too real We’re an equal-opportunity employer. If you’re excited about the role but don’t meet every bullet, we still want to hear from you. Why Upside Work with a group of experienced founders who already built one unicorn company; work directly with the Founder & CEO on high-leverage problems. Shape the future of how companies understand their own efficiencies in the age of AI Work hands-on with innovative companies and see your insights directly influence their GTM strategy. Opportunity to grow with the company and build an analytics and insights team