Data Science Jobs 2026 (Now Hiring) – Smart Auto Apply

About Middesk Middesk makes it easier for businesses to work together. Since 2018, we’ve been transforming business identity verification, replacing slow, manual processes with seamless access to complete, up-to-date data. Our platform helps companies across industries confidently verify business identities, onboard customers faster, and reduce risk at every stage of the customer lifecycle. Middesk came out of Y Combinator, is backed by Sequoia Capital and Accel Partners, and was recently named to Forbes Fintech 50 List and cited as an industry leader in business verification by digital identity strategy firm, Liminal. The Role We are actively building AI-driven applications that streamline customer workflows, focusing on business onboarding. With our proprietary identity data assets and deep domain expertise, we are uniquely positioned to expand into a broader set of AI-powered solutions that drive long-term growth. We’re looking for a hands-on applied ML expert to help build the technical foundation for these efforts. Ideally you have shipped external-facing models in the risk/fraud space and know the messy realities of imbalanced data, low labels, and changing behavior. This is a highly technical, hands-on role with wide influence on how we design, build, and scale ML at Middesk. What You'll Do: Build risk & fraud ML applications: Deliver production ML models in fraud, trust & safety, KYB, and compliance domains, with measurable impact on customer workflows. Tackle hard data problems: Work on classification problems with extreme class imbalance, sparse signals, and “cold start” label challenges. Innovate in feature engineering & labeling: Use graph-based techniques, weak supervision, LLMs, and AI agents to improve signal extraction and automate labeling process. Establish ML infrastructure foundations: Partner with platform engineering team to design feature services, model training pipeline, model serving standards, and orchestration to scale multiple ML use cases. What We’re Looking For: 7+ years applied ML experience, with direct impact in risk, fraud, trust & safety, compliance, or adjacent high-stakes domains. Proven track record of shipping ML models from research to production in external-facing products. Expertise in classification with real-world challenges, for example: imbalanced labels, sparse signals, cold start, and production version management. Hands-on ML infrastructure experience: feature stores, model management, ML training/serving pipelines. Comfort as a senior IC: setting technical direction, mentoring peers, and establishing best practices. Nice to Haves: B2B SaaS experience, ideally building ML products for enterprise customers. MLE/engineering collaboration experience, or direct MLE work on ML pipelines and services. Familiarity with graph, LLM-based feature generation, or AI agent workflows. Experience scaling ML across multiple products or risk domains.

At Stewart, we know that success begins with great people. As a Stewart employee, you’ll be joining a company that was named a 2024-2025 Best Company to Work For by U.S. News & World Report, and a 2025 Top Workplace by USA Today. We are committed to helping you own, develop, and nurture your career. We invest in your career journey because we understand that as you grow, so does our company. And our priority is smart growth – by attaining the best people, investing in tools and resources that enable success, and creating a better home for all. You will be part of an inclusive work environment that reflects the customers we serve. You’ll be empowered to use your unique experiences, passion and skills to help our company and the communities we serve constantly evolve and improve. Together, we can achieve our vision of becoming the premier title and real estate services company. Stewart is a global real estate services company, providing title insurance, settlement, underwriting, and lender services through our family of companies. To learn more about Stewart, visit stewart.com/about . More information can be found on stewart.com . Get title industry information and insights at stewart.com/insights . Follow Stewart on Facebook @StewartTitleCo, on Instagram @StewartTitleCo and on LinkedIn @StewartTitle Job Description Job Summary Collects, analyzes, monitors, and reports on the organization’s financial matters, managing and ensuring compliance with the organization’s financial policies, professional standards and all laws. Centralized Escrow Accounting (CEA) Service Center provides escrow accounting and related services to substantially all affiliated offices including wire processing, transfers and bank reconciliations, 1099s and escheat reporting, centralized bank account documentation management, management of customer-driven investments and monitoring of daily transactions and positive pay. Job Responsibilities Performs a wide range of support functions to assist in departmental processes Follows clearly defined procedures to complete daily tasks and responsibilities Uses existing procedures to solve straightforward problems without the consistent need to exercise discretion Uses basic communication skills to address internal and/or external clients and/or team members Individual contributor working under direct supervision with little autonomy Performs all other duties as assigned by management Education High school diploma required; Bachelor’s preferred Experience Typically requires 0-2 years of related work experience Equal Employment Opportunity Employer S tewart is committed to ensuring that its online application process provides an equal employment opportunity to all job seekers, including individuals with disabilities. If you have a disability and need assistance or an accommodation in the application process, please contact us by email at careers@stewart.com . Benefits Stewart offers eligible employees a competitive benefits package that includes, but is not limited to a variety of health and wellness insurance options and programs, paid time off, 401(k) with company match, employee stock purchase program, and employee discounts.

🏛️ About GovWell We the people (and the taxpayers) deserve good government — but today, interacting with government services is often frustrating and inefficient. GovWell is building the AI-powered platform that transforms how governments serve communities, starting with local agencies. Our first product helps municipal and county governments modernize complex services like permitting and licensing. GovWell combines a highly configurable SaaS system of record with generative AI that automates work for staff, guides residents through services, and is radically simple to deploy. Founded in 2023, GovWell powers 3,000+ critical processes for agencies in 29 states serving millions of residents. We’ve raised $9.5M in seed funding from Work-Bench and Bienville Capital, and work in person at our HQ in New York City. Read more about our founding story in TechCrunch . ☀️ Why GovWell? A mission that matters: Building AI-powered products to fix outdated government systems isn’t just a technical challenge—it’s a historic opportunity to improve our foundational relationship with government and ensure trillions of tax dollars result in high quality services. WATCH: Mission & Vision with CEO & Co-Founder Troy LeCaire Real-world impact: GovWell’s product is the system of record for government services that affect millions of Americans. From streamlining permitting for small businesses to accelerating affordable housing development, your work will make an immediate difference. Join a startup in hyper-growth: We’ve found product-market fit and are scaling the business very quickly (4X ARR growth in the last year). As an early team member, you’ll learn what it takes to build a successful startup. You’ll work closely with the founders while enjoying exceptional autonomy and ownership over your work. 🌟 Role overview GovWell is hiring a Data Solutions Engineer to help governments transition from legacy systems to modern software. You’ll own customer data migrations and GIS onboarding end-to-end, working directly with government teams to map schemas, validate data, and ensure accurate, complete data is loaded into GovWell’s platform. This role reports directly to Ben Cohen, Co-Founder and CTO, and works closely with Product, Engineering, and Deployment to make onboarding faster, more reliable, and increasingly repeatable as GovWell scales. We have a hybrid work culture that combines regular in-person collaboration at our New York City office (3+ days per week) with flexibility to work remotely. 💻 What you’ll do Execute customer data migrations and GIS onboarding end-to-end, working directly with government staff to understand source systems, configure mappings and ingestion settings, run validations and dry-runs, and ensure accurate, complete data is loaded into GovWell. Own onboarding data quality and correctness by identifying gaps, inconsistencies, and edge cases in legacy data; making documented judgment calls within defined constraints, and preventing bad or unsafe data from entering production. Serve as the primary technical point of contact during onboarding, leading customer calls, clearly explaining data requirements and tradeoffs, and guiding agencies through the transition from legacy systems to GovWell with confidence. Operate and improve repeatable onboarding processes using internal tools, templates, and playbooks to reduce time-to-launch, minimize manual work, and ensure migrations and GIS ingestion become increasingly predictable as volume scales. Provide structured feedback to Product and Engineering teams by documenting recurring issues, unmet assumptions, and tooling gaps encountered during migrations, helping inform platform and process improvements without introducing one-off solutions. 🧠 Who you are 2–3+ years of hands-on experience in data solutions, data migrations, ETL/onboarding, technical implementations, or a closely related role involving messy, real-world data. Strong SQL proficiency used in practice for data validation, reconciliation, and troubleshooting. Experience working directly with customer-provided data, including interpreting poorly documented schemas, resolving inconsistencies, and making tradeoffs to deliver usable outcomes. Strong data quality and validation instincts: able to identify risky data issues early, run effective QA, and prevent incorrect data from reaching production. Comfortable interfacing directly with non-technical stakeholders, clearly explaining technical constraints, requirements, and tradeoffs in calm, plain language. Highly reliable and execution-oriented: you take full ownership of migrations end-to-end, communicate proactively, and deliver on deadlines. Process-driven and disciplined: you follow playbooks, avoid one-off solutions, and contribute to making onboarding more repeatable as GovWell scales. Motivated by the real-world impact that clean, trusted data has on helping governments serve residents better. 🖥️ Our tech stack SQL – your core tool for validation, reconciliation, and troubleshooting Airflow – for managing data migration pipelines PostgreSQL – our core database Python – used in data workflows and automation Hex – your general-purpose data tool for loading, transforming, and QAing data RedwoodJS, GraphQL, TypeScript, AWS – the broader software engineering environment you’ll interact with 💸 Compensation and benefits Compensation within the posted salary band will be commensurate with experience. All offers will include: Competitive base salary. Equity / stock options. Medical, dental, and vision insurance. 401(k) program. #LI-AC1

Title: Agriculture Intern, Data AnalyticsLocation: Kennewick, WAJob Requisition ID: Req-259829Time Type: Full time About Lamb Weston You’ve probably enjoyed our fries without even knowing it! As a leading manufacturer in our industry, and public Fortune 500 company, we inspire and bring people together with foods they love and trust. Our customer base includes international food service providers, restaurants, and households in over 100 countries around the world. A highly innovative global corporation with a start-up mindset, we empower every individual to make a genuine difference. You’ll gain access to hands-on training to fuel your growth and success, explore opportunities for new solutions, and you’ll join a winning team of 10,000+ people all dedicated to raising the bar – together. If you have a strong drive for results, a desire to help us bring the world together through our fries, and are ready for a fresh challenge, we want to hear from you. Job Description Summary Participate in a paid internship program built around your career goals and hands-on projects that impact the organization. As part of the Lamb Weston University Recruiting Internship Program, Interns work towards completing a Capstone project and are assigned a mentor who will guide and evaluate performance. Whether you are interested in Agricultural Science, Data Science, Finance, Supply Chain, IT, Manufacturing, Food Science, Marketing, or Engineering, our highly selective summer intern program has projects that will help you build the next stage in your career.Paid internship, May – August (actual dates may vary)Gain real-world working experience through dynamic projects assigned by your mentor and assigned departmentNetwork and learn from executives, department leaders, high performers, and fellow interns across the businessReceive guidance and feedback from your assigned mentor throughout the programProfessional development events providing tools that will help after the internship and after graduation Job Description The Agriculture Intern, Analytics Intern will be a contributing member of a team responsible for crop analytics across North America supporting critical decision-making related to the sourcing of billions of pounds of potatoes. This intern is a resource to the Sr. Manager Ag Analytics and will help progress our crop analytics and reporting capabilities by building data visualizations, automating data pipelines, and improving predictive crop modeling. The intern will gain insight into numerous datasets used for crop analytics including weather data, input pricing, field sampling, potato quality, and yields. This internship offers the opportunity to gain experience with real-world applications of data science curriculum. The intern will be working in collaboration with other members across the North American Ag Services team. Duties & Responsibilities include: Automating Data pipelines within our department’s various systems. Improve yield modeling training and execution through automated ETL process. Build API connections to relevant internal and external Ag datasets. Build Power BI dashboards. Import open-source satellite imagery. Basic & Preferred Qualifications Must be a current Junior, Senior, or Master’s student enrolled in a related program: Data Engineering, Computer Science, Business Analytics or related field Minimum GPA 3.0 preferred This is a full-time position with 8-hour shifts Monday-Friday, but a successful candidate may need to occasionally flex to other shifts (example: 2nd shift, night shift) as part of your capstone project Valid U.S. driver’s license and ability to meet the Lamb Weston Authorized Driver standards Experience with data modeling, automation, warehousing and building ETL pipelines Experience with AWS technologies – S3, Lambda, & Glue preferred. Experience with Power BI preferred. GCP and Azure equivalents such as Snowflake, Python and or any ETL Tools is a plus Industry-Competitive Benefits Coupled with our compensation and bonus incentive programs, our benefits deliver rewards that are market competitive. Some of the most attractive elements of our benefit programs include: Health Insurance Benefits - Medical, Dental, Vision Flexible Spending Accounts for Health and Dependent Care, and Health Reimbursement Accounts Well-being programs including companywide events and a wellness incentive program Paid Time Off Financial Wellness – Industry leading 401(k) plan with generous company contributions, Financial Planning Services, Employee Stock purchase program, and Health Savings Accounts, Life and Accident insurance Family-Friendly Employee events Employee Assistance Program services – mental health and other concierge type services Benefits may vary based on location, job role/level, job status, and/or the terms of any applicable collective bargaining agreements. Anticipated Close Date The anticipated close date is a good faith estimate for when this job will be closed. Some jobs may be unposted or filled earlier or later than the Anticipated Close Date depending on interview processes and business needs.Anticipated Close Date: 03/23/2026 Pay Transparency In compliance with applicable state and local laws, Lamb Weston has opted to include a reasonable estimate of the compensation for this role. This compensation is specific to this position and takes into account a number of variables. Actual compensation may be higher or lower in the range posted based on various factors, including, but not limited to, job duties, experience and expertise. A candidate’s work location could also impact the actual compensation being outside of the range to reflect local cost of labor. A reasonable hourly estimate for this role based on the variables previously mentioned is listed below.Pay Rate or Range: $22.00 Equal Opportunity Employer Lamb Weston is an Equal Opportunity Employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status or any other protected factor under federal, state or local law

The Opportunity Lesley University is seeking an experienced financial leader to join our team as the Associate Vice President of Financial Planning, Data, and Analysis (AVP). This is an exciting opportunity for a strategic thinker and change agent to serve as the architect of financial models in collaboration with the CFO, playing a key role in shaping the university’s financial future. Reporting to the Chief Financial Officer (CFO), the AVP will be responsible for developing and managing financial models, leading the university’s annual budget process, and overseeing financial analysis and key metric reporting. The AVP will collaborate with university leadership to ensure the institution’s financial health through data-driven decision-making, revenue and expense analysis, and the development of financial reporting improvements. This role will also serve as the primary liaison for the university’s financial systems, ensuring system integrity and seamless integration with financial platforms. Key responsibilities include leading the budget preparation process, providing timely financial reports to senior leadership, evaluating program sustainability, and identifying opportunities for operational efficiencies. Additionally, the AVP will work closely with the Associate VP of Finance/Controller to support financial close processes and prepare for audits and external reviews. Qualities and Capabilities A successful candidate will have: A Bachelor’s degree in finance, accounting, or data analytics; MBA preferred. 10+ years of financial experience, with a minimum of five years in a leadership role. Strong technical and professional accounting skills, with expertise in financial modeling and data analysis. Advanced proficiency in Excel, PowerPoint, and data mining, with experience using Workday Adaptive and Colleague preferred. Familiarity with ERP systems, budgeting, and forecasting tools. Ability to independently lead projects accurately and on time is required. Excellent communication and problem-solving skills, with the ability to engage with all levels of university leadership. A track record of driving financial and operational change, identifying inefficiencies, and implementing improvements. A collaborative mindset and ability to balance high-level strategy with hands-on execution. Why Lesley Located in the heart of Cambridge, Massachusetts, Lesley University is highly regarded for its graduate and undergraduate programs in the human arts of education, the arts, and applied social sciences. Lesley fosters a highly creative environment in which innovative ideas thrive, theory is integrated with practice and its 6,400 students and 90,000 alumni are empowered to improve and enrich communities. We offer a competitive benefits package that includes health, dental, life, and long-term disability insurance. In addition, we offer significant paid time off, a generous retirement plan, and tuition programs that enable employees and their dependents to expand their knowledge and skills. Lesley is committed to the ongoing pursuit of strategic diversity initiatives that help to position diversity, equity, and inclusion as fundamental to institutional and academic excellence at Lesley. In doing so, Lesley strives for a campus culture and community that fosters a true sense of belonging for all, provides opportunity for everyone to participate equally and fully in the Lesley experience, and helps to develop each individual's capacity to confidently and competently engage within and across difference. Given an evolving national context and the rapid change in the demographic profile of our country, the University has made a significant commitment to addressing and enhancing its campus climate and diversity capabilities as an institution. Expressing Interest A letter of interest, CV/resume, and a statement addressing past and/or potential contributions to diversity, equity, and inclusion through teaching, professional activity, and/or service must be included for full consideration. At Lesley University we strive for a supportive and equitable environment where people -- regardless of race, ethnicity, color, sex, physical ability, religion, national origin or ancestry, age, neurodiversity, sexual orientation, gender identity or expression, genetic information, veteran or military status, membership in uniformed services, and all other categories protected by applicable state and federal laws -- can participate equally and fully as their true selves in all aspects of university life. Accordingly, the University prohibits discrimination based on these protected categories in any education program or activity that it operates, including in admission and in employment. We are committed to diversity, equity, and inclusion throughout the fabric of our institution. Individuals may submit concerns or questions related to discrimination to the University's Director of Equal Opportunity. Please visit the Office of Equal Opportunity's webpage for the University's entire notice of nondiscrimination and for additional information. Base Pay Range: $166,978 - $191,866 annually

About the Institute of Foundation Models We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy. As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers. The Role As a Data Engineer specializing in Natural Language Processing (NLP) and large-scale data processing, you will quickly and effectively gather, curate, and prepare high-quality datasets to support cutting-edge NLP research. Your role will be instrumental in enabling researchers by delivering essential data through efficient and scalable engineering practices, including web crawling, LLM-generated content refinement, and robust data pipelines, primarily leveraging Python and related technologies. Key Responsibilities Rapidly collect, curate, and preprocess datasets based on detailed specifications provided by NLPresearchers,delivering data within tight timelines. Develop and maintain efficient web crawling solutions, APIs, and automated workflows to continuously improve data collection processes. Refine and evaluate outputs from Large Language Models (LLMs) to generate structured datasets suitable for model training and benchmarking. Implement scalable data pipelines, ensuring efficient data processing, storage, retrieval, and distribution to research teams. Collaborate closely with researchers and engineers to ensure collected data meets specified quality and relevance criteria. Document data collection methodologies, dataset characteristics, and pipeline architecture clearly and effectively. Engage with peer teams and participate in technical reviews to uphold best practices and data quality standards. Represent MBZUAI at industry and research forums, showcasing technical capabilities in large-scale data processing and AI data infrastructure. Academic Qualifications Bachelor's degree in Computer Science, Data Science, Engineering, or a related technical field required Master’s degree or PhD degree or equivalent experience in Computer Science, Data Engineering, or related technical fields preferred. Professional Experience- Required Extensive experience in data engineering, data processing, and automation using Python. Demonstrated proficiency in designing and deploying web crawling solutions, automated data extraction, and processing pipelines. Strong understanding of data structures, algorithms, databases, SQL, and performance optimization. Experience working with cloud infrastructure and distributed data processing frameworks (e.g., AWS, Spark, Kafka, Kubernetes). Excellent problem-solving abilities, attention to detail, and the capability to rapidly address technical challenges. Strong communication and collaboration skills with cross-functional teams. Professional Experience- Preferred Proven track record of supporting NLP or AI research teams with rapid and reliable data delivery. Experience working with large language models, including evaluation, efficient inference, and prompt engineering. Experience with refining outputs from large-scale AI models, such as LLM-generated data. Contributions to open-source projects, coding competitions, or high visibility in coding communities (e.g., GitHub, Stack Overflow). Familiarity with the latest advancements in NLP data processing and large language model technologies. $150,000 - $450,000 a year Visa Sponsorship This position is eligible for visa sponsorship. Benefits Include *Comprehensive medical, dental, and vision benefits *Bonus *401K Plan *Generous paid time off, sick leave and holidays *Paid Parental Leave *Employee Assistance Program *Life insurance and disability

Are you looking for a Senior Data Engineer(Python, NodeJS, Java) role within our Mission Driven organization? Have you developed production-based products in an Agile environment using Python/APIs development skills? About the role: This position performs data engineering - typically across multiple components; is developing the skills of mentoring junior members of the team and works with others to talk to users/customers and translates their requests into solutions.We are not looking to hire a Data Scientist. About the team: This diverse team is actively involved in developing advanced information and decision support tools for healthcare professionals. One notable initiative is the launch of ClinicalKey AI, a generative AI-driven clinical decision support tool developed in partnership with OpenEvidence. This tool offers a conversational search interface, enabling physicians to quickly access accurate, evidence-based medical information, thereby enhancing clinical decision-making at the point of care. Qualifications Experience with backend programming languages including Python, NodeJS, Java Experience designing, developing and maintaining complex ETL pipelines · Knowledge of Database technologies (SQL, NOSQL) Familiarity with cloud technologies (AWS, Azure, GCP) Experience with (shared) source control (Git, Github, Gitlab, SVN) Familiarity with unit/integration testing Experience documenting and sharing solutions Proficiency in giving great reviews of their peers' work. This includes being respectful, thorough, thoughtful, flexible, and not pedantic. Responsibilities Handling medium- to larger-sized tasks with minimal assistance needed. Designing components and modules pairing while mentoring more junior engineers in the activity. Troubleshooting and debugging issues, provide solutions, and collaborate with quality engineering and product teams. Communicating openly and clearly, whether discussing ideas, asking questions, or providing feedback. Be mindful of clarity and approach. Showing empathy towards colleagues, be open to feedback, and approach situations with humility, acknowledging that everyone can learn from others. Elsevier employs 9,200 people worldwide, including over 2,500 technologists. We have supported the work of our research and health partners for more than 140 years. Growing from our roots in publishing, we offer knowledge and valuable analytics that help our users make breakthroughs and drive societal progress. Digital solutions such as ScienceDirect, Scopus, SciVal, ClinicalKey and Sherpath support strategic research management, R&D performance, clinical decision support, medical education, and nursing education. Researchers and healthcare professionals rely on over 2,800 journals, including The Lancet and Cell; 46,000+ eBook titles; and iconic reference works, such as Gray's Anatomy. With the Elsevier Foundation and our external Inclusion & Diversity Advisory Board, we work in partnership with diverse stakeholders to advance inclusion and diversity in science, research and healthcare in developing countries and around the world. Elsevier is part of RELX a global provider of information-based analytics and decision tools for professional and business customers U.S. National Base Pay Range: $86,600 - $144,400. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy . We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights .

Responsive recruiter Benefits: Health insurance BVA Bears IT Solutions is seeking an SAP BRIM -Data Analytics Engineer to work in the Middletown, PA area. This is a full time position with at least 2 days on-site and possibly 3 days remote. As an SAP BRIM-Data Analytics Engineer, you will design, develop, and maintain data pipelines, analytics models, and reporting solutions supporting SAP Billing and Revenue Innovation Management (BRIM) and SAP S/4HANA. This role ensures accurate data integration, transformation, and visualization for high-volume, consumption-based billing and revenue processes. The engineer collaborates with architects, developers, and business teams to deliver secure, scalable, and compliant analytics solutions aligned with SAP best practices. Key Responsibilities: Data Engineering & Integration Design and implement ETL/ELT pipelines for SAP BRIM data using SAP tools and modern data platforms. Develop integration strategies to ensure data integrity and minimize replication across SAP and external systems. Optimize data migration and delta load processes for high-volume environments. Analytics & Reporting Build dashboards and reports using SAP Analytics Cloud (SAC), BW/4HANA, and other visualization tools. Create data models to support subscription, invoicing, and revenue analytics. Ensure alignment with business KPIs and compliance requirements. Performance & Scalability Implement best practices for query optimization and large-scale data processing. Monitor and tune data pipelines for performance and reliability. Compliance & Security Ensure data handling meets PCI DSS, SOC1/SOC2, and Commonwealth IT security standards. Apply encryption, role-based access, and secure storage practices. Collaboration & Documentation Document data flows, mappings, and transformation logic in Commission-approved templates. Work closely with business analysts and SMEs to validate requirements and deliver actionable insights. Qualifications : Education: Bachelor’s degree in Data Science, Computer Science, or related field. Experience: 5+ years in data engineering and analytics within SAP environments. Hands-on experience with SAP BRIM and S/4HANA data structures. Expertise in ETL tools, SAP BW/4HANA, and SAP Analytics Cloud. Skills: Strong SQL, ABAP for data extraction, and familiarity with SAP BTP for event-driven data processing. Knowledge of API integration and data governance frameworks. Excellent analytical and documentation skills. Preferred Skills: SAP BRIM certifications (BR235/240/245/416). Experience with utilities or transportation industry data models. Familiarity with Agile/Hybrid methodologies and tools like ADO/JIRA. Knowledge of predictive analytics and machine learning in SAP environments. U.S. Citizenship Requirement: This position is restricted to U.S. citizens only in accordance with federal contract requirements. Applicants must provide proof of U.S. citizenship (such as a U.S. passport, birth certificate, or Certificate of Naturalization) prior to employment. Non-citizens, including lawful permanent residents (Green Card holders), are not eligible for this role. Equal Employment Opportunity : BVA Bears IT Solutions is committed to providing equal employment opportunities. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability, genetic information, military/veteran status, or any other characteristic protected by law. ​ Flexible work from home options available.

With a career at The Home Depot, you can be yourself and also be part of something bigger. Position Purpose: Software Engineering Managers lead large engineering teams, oversee multiple projects, and ensure that data solutions align with organizational goals and priorities. This role will lead and mentor a large team of data engineers, setting performance goals and overseeing skill development. Also, this role is responsible for planning, prioritizing, and managing different priorities and their resource allocation and timelines. Managers collaborate with business stakeholders and senior leadership to ensure data strategy supports business objectives. The role will interface with Business Stakeholders, Technology Infrastructure teams, and Development teams to ensure that business requirements are properly met. Managers should be able to operate independently with minimum guidance from others, although will typically work as part of a team with varying skill levels to create, support, and deploy production applications. This role will review data solutions and provide feedback to improve, based on best practices. Key Responsibilities: 30% Delivery & Execution: Collaborates and pairs with product team members (UX, engineering, and product management) to create secure, reliable, scalable software solutions Documents, reviews and ensures that all quality and change control standards are met Writes custom code or scripts to automate infrastructure, monitoring services, and test cases Works with vendors and partners for the successful implementation of critical tooling and platforms Creates meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively Contributes to enterprise-wide tools to drive destructive testing, automation, and engineering empowerment Evaluates new technologies for adoption across the enterprise Participates in and leads review board sessions to drive consistency across the enterprise Fills in on product teams for engineers who are out of the office 10% Support & Enablement: Fields questions from engineers, product teams, or support teams Monitors tools and participates in conversations to encourage collaboration across product teams Provides application support for software running in production Acts as a technical escalation point for the engineers on the team 50% People: Provides leadership, mentoring, and coaching to Software Engineers Attracts, retains, and develops top talent to build a world class Software Engineering Team Conducts annual and mid-year reviews by reviewing individual development plans and team feedback Fosters collaboration with team members to drive consistency across product teams, and finds opportunities to expose engineers to career interests Acts as a proponent of modern software development practices Guides team members in strategy, alignment, analysis, and execution tasks within and across product teams Participates in and contributes to learning activities around modern software design and development core practices (communities of practice) 10% Learning: Learns, through reading, tutorials, and videos, new technologies and best practices being used within other technology organizations Builds relationships with technology leaders at other companies to learn best practices and elegant solutions to common problems Direct Manager/Direct Reports: Typically reports to the Software Engineer Sr. Manager, Technology Director or Sr. Director. Travel Requirements: Typically requires overnight travel 5% to 20% 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. Mastery of an object oriented programming language (preferably Java) Must be legally permitted to work in the United States Preferred Qualifications: 5-7 years of relevant work experience Bachelor’s degree in computer science, data engineering, or related field (or equivalent experience). Proven experience in leading data engineering and managing technical teams. Strong knowledge of cloud infrastructure, data modeling, and ETL processes. Mastery of writing SQL queries against a relational database Experience with project management methodologies and tools. Exceptional leadership and communication skills. Experience with modern product development processes and pipelines Proficient in effective troubleshooting and issue resolution techniques Capable of understanding complicated systems quickly. Strong ability to work and influence cross-functionally and demonstrate deep business acumen. Strong problem-solving skills and attention to detail. 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: 5 Preferred Years of Work Experience: No additional years of experience Minimum Leadership Experience: None Preferred Leadership Experience: None Certifications: None Competencies: Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs Balances Stakeholders: Anticipating and balancing the needs of multiple stakeholders Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals Business Insight: Applying knowledge of business and the marketplace to advance the organization's goals Collaborates: Building partnerships and working collaboratively with others to meet shared objectives Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences Develops Talent: Developing people to meet both their career goals and the organization's goals Drives Engagement: Creating a climate where people are motivated to do their best to help the organization achieve its objectives Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action Manages Ambiguity: Operating effectively, even when things are not certain or the way forward is not clear Organizational Savvy: Maneuvering comfortably through complex policy, process, and people-related organizational dynamics Situational Adaptability: Adapting approach and demeanor in real time to match the shifting demands of different situations Benefits offered include health care benefits, 401K, ESPP, paid time off, and success sharing bonus. For a full list of the various benefits The Home Depot offers, visit https://careers.homedepot.com/our-benefits . For California, Colorado, Connecticut, Rhode Island, Nevada, New York City, Ithaca (NY), Westchester County (NY), and Washington residents: The pay range for this position is between $140,000 - $240,000

About Granica Granica is an AI research and infrastructure company focused on reliable, steerable representations for enterprise data. We earn trust through Crunch , a policy-driven health layer that keeps large tabular datasets efficient, reliable, and reversible. On this foundation, we’re building Large Tabular Models —systems that learn cross-column and relational structure to deliver trustworthy answers and automation with built-in provenance and governance. The Mission AI today is limited not only by model design but by the inefficiency of the data that feeds it. At scale, each redundant byte, each poorly organized dataset, and each inefficient data path slows progress and compounds into enormous cost, latency, and energy waste. Granica’s mission is to remove that inefficiency. We combine new research in information theory , probabilistic modeling , and distributed systems to design self-optimizing data infrastructure: systems that continuously improve how information is represented and used by AI. This engineering team partners closely with the Granica Research group led by Prof. Andrea Montanari (Stanford), bridging advances in information theory and learning efficiency with large-scale distributed systems. Together, we share a conviction that the next leap in AI will come from breakthroughs in efficient systems, not just larger models. What You’ll Build Global Metadata Substrate. Help design and implement the metadata substrate that supports time-travel, schema evolution, and atomic consistency across massive tabular datasets. Adaptive Engines. Build components that reorganize data autonomously, learning from access patterns and workloads to maintain efficiency with minimal manual tuning. Intelligent Data Layouts. Develop and refine bit-level encodings, compression, and layout strategies to extract maximum signal per byte read. Autonomous Compute Pipelines. Contribute to distributed compute systems that scale predictively and adapt to dynamic load. Research to Production. Translate new algorithms in compression and representation from research into production-grade implementations. Latency as Intelligence. Design and optimize data paths to minimize time between question and insight, enabling faster learning for both models and humans. What You Bring Foundational understanding of distributed systems: partitioning, replication, and fault tolerance. Experience or curiosity with columnar formats such as Parquet or ORC and low-level data encoding. Familiarity with metadata-driven architectures or data query planning. Exposure to or hands-on use of Spark , Flink , or similar distributed engines on cloud storage. Proficiency in Java, Rust, Go, or C++ and commitment to clean, reliable code. Curiosity about how compression, entropy, and representation shape system efficiency and learning. A builder’s mindset—eager to learn, improve, and deliver features end-to-end with growing autonomy. Bonus Familiarity with Iceberg , Delta Lake , or Hudi . Contributions to open-source projects or research in compression, indexing, or distributed systems. Interest in how data representation influences AI training dynamics and reasoning efficiency. Why Granica Fundamental Research Meets Enterprise Impact. Work at the intersection of science and engineering, turning foundational research into deployed systems serving enterprise workloads at exabyte scale. AI by Design. Build the infrastructure that defines how efficiently the world can create and apply intelligence. Real Ownership. Design primitives that will underpin the next decade of AI infrastructure. High-Trust Environment. Deep technical work, minimal bureaucracy, shared mission. Enduring Horizon. Backed by NEA, Bain Capital, and various luminaries from tech and business. We are building a generational company for decades, not quarters or a product cycle. Compensation & Benefits Competitive salary, meaningful equity, and substantial bonus for top performers Flexible time off plus comprehensive health coverage for you and your family Support for research, publication, and deep technical exploration At Granica, you will shape the fundamental infrastructure that makes intelligence itself efficient, structured, and enduring. Join us to build the foundational data systems that power the future of enterprise AI!

Since 2012, we've grown to become one of the leading single-family rental companies and homebuilders in the country, recently recognized as a top employer by Fortune and Great Place To Work®. At AMH, our goal is to simplify the experience of leasing a home through professional management and maintenance support, so our residents can focus on what really matters to them, wherever they are in life. The Senior Data Engineer is responsible for designing, building, and managing the data platform and tools to allow for the efficient processing and analysis of large data sets. Develops and maintains scalable data pipelines, ensures data quality, and deploys machine learning models to production. Collaborates with business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision-making across the organization. Builds real-time and batch pipelines to handle large volumes of data efficiently. Collaborates with cross-functional teams and translate business requirements into scalable data solutions. Responsibilities: Design, develop, and maintain real-time or batch data pipelines to process and analyze large volumes of data. Designs and develops programs and tools to support ingestion, curation, and provisioning of complex first party and third-party data to achieve analytics, reporting, and data science. Design and develop Advanced Data Products and Intelligent API’s. Monitors the system performance by performing regular tests, troubleshoots, and integrates new features. Lead in analysis of data and the design the data architecture to support BI, AI/ML and data products. Designs and implements data platform architecture to meet organization analytical requirements. Ensures the solution designs address operational requirements such as scalability, maintainability, extensibility, flexibility, and integrity. Provide technical leadership and mentorship to team members. Leads peer development and code reviews with focus on test driven development and Continuous Integration and Continuous Development (CICD). Requirements: Bachelor’s degree in computer science, information systems, data science, management information systems, mathematics, physics, engineering, statistics, economics, and/or a related field required. Master’s degree in computer science, information systems, data science, management information systems, mathematics, physics, engineering, statistics, economics, and/or a related field preferred. Minimum of eight (8) years of experience as a data engineer with full-stack capabilities Minimum of ten (10) years of Experience in programming Minimum of five (5) years in Cloud technologies like Azure, Aws or Google. Strong SQL Knowledge Experience in ML and ML Pipeline a plus Experience in real-time integration, developing intelligent apps and data products. Proficiency in Python and experience with CI/CD practices Strong background in IAAS platforms and infrastructure Hands-on experience with Databricks, Spark, Fabric, or similar technologies Experience in Agile methodologies Hands-on experience in the design and development of data pipelines and data products Experience in developing data ingestion, data processing, and analytical pipelines for big data, NoSQL, and data warehouse solutions. Hands-on experience implementing data migration and data processing using Azure services: ADLS, Azure Data Factory, Event Hub, IoT Hub, Azure Stream Analytics, Azure Analysis Service, HDInsight, Databricks Azure Data Catalog, Cosmo Db, ML Studio, AI/ML, etc. Extensive experience in Big Data technologies such as Apache Spark and streaming technologies such as Kafka, EventHub, etc. Extensive experience in designing data applications in a cloud environment. Intermediate experience in RESTful APIs, messaging systems, and AWS or Microsoft Azure. Extensive experience in Data Architecture and data modeling Expert in data analysis and data quality frameworks. Knowledgeable with BI tools such as Power BI and Tableau. May occasionally work evenings and/or weekends. Compensation The anticipated pay range/scale for this position is $121,116.00 to $151,395.00 Annually. Actual starting base pay within this range will depend on factors including geographic location, education, training, skills, and relevant experience. Additional Compensation This position is eligible to receive a discretionary annual bonus. Perks and Benefits Employees have the opportunity to participate in medical, dental and vision insurance; flexible spending accounts and/or health savings accounts; dependent savings accounts; 401(k) with company matching contributions; employee stock purchase plan; and a tuition reimbursement program. The Company provides 9 paid holidays per year, and, upon hire, new employees will accrue paid time off (PTO) at a rate of 0.0577 hours of PTO per hour worked, up to a maximum of 120 hours per year. CA Privacy Notice: To learn more about what information we collect when you apply for a job, and how we use that information, please see our CA Job Applicant Privacy Notice found at https://www.amh.com/ca-privacy-notice . #LI-PH1

As the Data Product Manager Lead you will work on transforming the world’s largest research-consented recontactable genetics database into a powerful product that can help accelerate the discovery, validation, and distribution of cures for some of the most destructive health conditions that plague us today. Who We Are We are a group of individuals passionate about genetic discovery. 23andMe Research Institute is a nonprofit medical research organization that enables people everywhere to access their genetic information, learn about themselves, and participate in the world's largest crowdsourced research initiative. The Institute aims to be the world's most significant contributor to scientific advancement, uniting people with the common goal of improving health and deepening our understanding of DNA — the code of life. What You’ll Do Build enterprise data products that are driven by 23andMe’s proprietary genetic data and analytical capabilities that address meaningful needs for 23andMe’s external partners (e.g., biotech and pharmaceutical companies, research institutions) Collaborate with research leaders to establish a vision and strategy for product development that builds on ongoing projects Establish cross-functional relationships with computational scientists, bioinformaticians, business development, engineering, marketing, and design to define product requirements, specify scope, and drive timelines Create detailed road maps, prioritize relentlessly, and communicate trade-offs internally Define success metrics, measure, and evaluate the impact of product efforts Analyze and understand data, and leverage that understanding to make data-driven decisions Work closely with 23andMe scientists and the business development team to communicate the value of the product to potential customers and gather feedback about what would help advance success rates in drug discovery and other applications of the data What You’ll Bring 8+ years experience in product management Proven ability to lead a team to meet concrete milestones Strong analytical skills Ability to build relationships and effectively collaborate with all levels of the organization, from C-level to individual contributors Ability to manage and influence through persuasion, negotiation, and consensus building Enthusiasm and creativity to inspire others Deep experience with building enterprise B2B products for healthcare and life science customers History of developing and successfully launching data products in the past Strongly Preferred Advanced degree (MS, PhD) in a relevant life sciences field Scientific research experience; solid understanding of genetics-driven research and drug target discovery (e.g., genome-wide association studies (GWAS)) Familiarity with UX and information architecture best practices Experience building up and leading a PM team About Us 23andMe, headquartered in California, is a leading consumer genetics and research company. The company’s mission is to help people access, understand, and benefit from the human genome. 23andMe has pioneered direct access to genetic information as the only company with multiple FDA authorizations for genetic health risk reports. The company has created the world’s largest crowdsourced platform for genetic research, with 80 percent of its customers electing to participate. 23andMe research participants consent to research conducted by 23andMe which is overseen by an independent third-party Institutional Review Board (IRB) regulated under the 'Common Rule' (45 CFR part 46). More information is available at www.23andme.com/research . At 23andMe, we value a diverse, inclusive workforce and we provide equal employment opportunity for all applicants and employees. All qualified applicants for employment will be considered without regard to an individual’s race, color, sex, gender identity, gender expression, religion, age, national origin or ancestry, citizenship, physical or mental disability, medical condition, family care status, marital status, domestic partner status, sexual orientation, genetic information, military or veteran status, or any other basis protected by federal, state or local laws. If you are unable to submit your application because of incompatible assistive technology or a disability, please contact us at accommodations-ext@23andme.com. 23andMe will reasonably accommodate qualified individuals with disabilities to the extent required by applicable law. Please note: 23andMe does not accept agency resumes and we are not responsible for any fees related to unsolicited resumes. Thank you. Pay Transparency 23andMe takes a market-based approach to pay, and amounts will vary depending on your geographic location. The salary range reflected here is for a candidate based in the San Francisco Bay Area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future. San Francisco Bay Area Base Pay Range $200,000 — $275,000 USD

About the Company We are a renewable energy and ocean technology company committed to rapidly developing and deploying technologies that will ensure a sustainable future for Earth by unlocking the vast energy potential of its oceans. Our focus is on capturing civilizational levels of ultra-low-cost renewable energy for applications including computing and affordable renewable fuels delivered to shore. The company is a public benefit corporation headquartered in Portland, Oregon and backed by leading venture capitalists, philanthropic investors, university endowments, and private investment offices. We operate as an idea meritocracy in which the best ideas change the company’s direction on a regular basis. About the Job Panthalassa is transitioning from prototyping to production builds. To scale reliably, we need strong enterprise systems that track and manage parts from design through manufacturing to fully integrated, validated nodes. We’re hiring a Program Lead for Enterprise Data Systems to own the strategy and execution of this work. You will lead the selection, implementation, and integration of the core tools that power our operations, including PLM, ERP, MRP, MES, QMS, and WMS. Your goal is to create a practical, connected “digital thread” that gives our teams the data structure and visibility they need to move fast without losing control. You’ll partner closely with Engineering, Manufacturing, Supply Chain, Finance, and IT to define requirements, build a rollout roadmap, and drive execution. This role starts as an individual contributor, and as the program grows, you’ll build a team to implement systems, integrate workflows, and train end users. This role is based on-site in Portland, OR. Exceptional candidates may be considered for a hybrid remote role. Responsibilities: Collaborate with manufacturing, engineering, operational finance, and IT leaders to define the enterprise data systems strategy and roadmap, and prioritize development initiatives Manage day-to-day execution of that roadmap, including communication with stakeholders Lead the evaluation and trades for application development, identifying opportunities for commercial or in-house software development to support business growth and requirements Cross-link the digital system implementation roadmap with our company objectives and production scale-up plans Collaborate with IT to establish and enforce architectural governance for application development, ensuring solutions are scalable, secure, and maintainable Bring in direct hires and/or contract partners to execute the system implementation, including integrations and end user training Required Qualifications: Experience leading enterprise data system implementations or refreshes in a manufactured product context 6+ years of experience working cross-functionally with engineering, production, supply chain, and operational finance teams to implement, improve, or maintain an enterprise data system application Exceptional communication skills, both written and verbal Demonstrated ability to lead by influence at both strategic and operational levels Desired Qualifications: Experience working in multiple different digital ecosystems Experience in high volume manufacturing Bachelor’s Degree or equivalent experience in Computer Science, Information Technology, or Information Management Systems The above qualifications are desired, not required. We encourage you to apply if you are a strong candidate with only some of the desired skills and experience listed. Compensation and Benefits: If hired for this full-time role, you will receive: Cash compensation of $180,000 - $205,000 Equity in the company. We’re all owners and if we’re successful, this equity should be far and away the most valuable component of your compensation. A benefits package that helps you take care of yourself and your family, including: Flexible paid time off Health insurance (the company pays 100% of gold level PPO plan for full time employees, their partners, and dependents) Dental insurance (the company pays 100% for full time employees and 100% for their partners and dependents) Vision insurance (the company pays 100% for full time employees, their partners, and dependents) Disability insurance (the company pays 100% for a policy to provide long term financial support if you become disabled) Ability to contribute to tax-advantaged accounts, including 401(k), health FSA, and dependent care FSA Relocation assistance to facilitate your move to Portland (if needed). Location: This is an on-site position. Our offices, lab, and shop are located in Portland, Oregon .

Job Description: We’re KSM, one of the top 50 largest independent advisory, tax, and audit firms in the United States. But more than our size, it’s our people and culture that set us apart. We believe great things happen when people are supported, challenged, and given the freedom to do their very best work. That’s why we’ve built a workplace where your career and personal life can thrive together – where you have the flexibility to manage your time, the resources to grow, and a team that genuinely cares about your success. We’ve been employee-owned since 2001, giving every team member a stake in our collective success. This ownership mentality fosters a culture of collaboration, curiosity, and excellence – where new ideas are welcomed, different perspectives are valued, and you’re encouraged to explore what excites you most. Whether you’re expanding your skills, tackling new challenges, or making an impact beyond the office, we provide the resources and support to help you grow in the direction that’s right for you. At KSM, your contributions matter – not just to the firm, but to your colleagues, clients, and the communities we serve across the U.S. If you’re looking for a place where you can do meaningful work, build lasting relationships, and grow in ways that align with what’s most important to you, we’d love to meet you. Key Responsibilities: Design, build, and maintain KSM’s enterprise data platform using Databricks, Microsoft SQL Server, and Power BI, supporting analytics, reporting, and operational workloads. Lead the modernization of KSM’s SQL Server environment, including database upgrades, performance tuning, and adoption of newer SQL features and best practices. Develop and maintain robust, scalable data pipelines for ingesting, transforming, and serving data from internal and external systems. Partner with the software development team to support data-related needs, including writing and optimizing stored procedures, views, queries, and data models. Design and manage data models, warehouses, and lakehouse structures that enable reliable analytics and self-service reporting. Implement and monitor data quality, reliability, and governance controls to ensure trusted and auditable data across the firm. Collaborate with analytics and business teams to translate requirements into effective technical solutions. Support AI/ML and advanced analytics initiatives by ensuring data is well-structured, accessible, and performant (not as a primary ML engineer). Troubleshoot and resolve complex data and performance issues across SQL Server, Databricks, and downstream tools. Serve as a senior technical resource and mentor, helping set data engineering standards and best practices across the organization. Monitor data quality and integrity, establishing processes for data validation and error handling. Automate and optimize data workflows to enhance efficiency, reliability, and scalability. Troubleshoot and resolve data-related issues promptly, maintaining system health and performance. Required Qualifications: Technical Expertise: Strong hands-on experience with Databricks, including Spark-based data pipelines, Delta Lake / Lakehouse architectures, and performance optimization. Experience designing and maintaining enterprise data platforms that support analytics, reporting, and downstream applications. Advanced proficiency with Microsoft SQL Server, including writing and optimizing stored procedures, views, complex queries, indexing, and performance tuning. Experience supporting SQL Server upgrades and modernization initiatives. Advanced SQL skills and proficiency in Python for data engineering and automation. Experience building and maintaining ETL / ELT pipelines and data transformations across multiple data sources. Strong understanding of data modeling for both relational and analytical workloads. Experience integrating data platforms with Power BI or similar business intelligence tools. Knowledge of data quality, governance, security, and access control best practices. Ability to troubleshoot and resolve complex data and performance issues across data platforms. Experience: 7+ years of experience in data engineering, data platform development, or a related field. Proven experience designing, building, and supporting enterprise data solutions in production environments. Experience working closely with analytics, reporting, and application development teams. Exposure to advanced analytics or AI/ML initiatives from a data engineering or data platform perspective is a plus. Skills: Exceptional problem-solving and analytical abilities. Excellent communication and collaboration skills, with the ability to lead and mentor teams. Knowledge of compliance frameworks and best practices in data governance. Preferred Qualifications Experience supporting both analytics teams and application development teams in a data engineering or platform role. Familiarity with cloud-based data platforms (AWS and/or Azure) and modern data tooling. Experience with DevOps or CI/CD practices for data pipelines and database deployments. Exposure to AI/ML or generative AI initiatives from a data enablement perspective. Prior experience in professional services, financial services, or regulated environments preferred, but not required. Relevant certifications (Databricks, Microsoft, AWS) are a plus but not required. We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, sex, sexual orientation, gender identity, disability, genetic information, national origin, race, religion, veteran status, or any other protected category. KSM only accepts resumes directly submitted by a candidate and referrals submitted by current KSM employees. Unsolicited resumes or candidate profiles sent by staffing agencies and fee-based referral services will not be considered outside of a signed KSM vendor contract. KSM will not pay a fee to recruiters or agencies that do not have a signed KSM vendor contract.

About Artemis Traditional finance and crypto-enabled finance are merging into digital finance — an open, global financial system for everyone. Stripe and is launching its own blockchain after acquiring Privy and Bridge. JPM is getting involved with stablecoins. Robinhood launched tokenized stocks and its own blockchain. Finance and is moving onchain and its accelerating. Previously platforms like Bloomberg, CapIQ, and FactSet became the information layer on top of finance, growing into $1–$10B ARR businesses. But these platforms weren’t built for a crypto-native world. Artemis is building the open data platform for digital finance — organizing and standardizing the metrics that matter for blockchains, tokens and stablecoins, all in one place. Functionally, we offer a “Bloomberg-like” Terminal trusted by Visa, Circle, Tether, Grayscale, VanEck, Franklin Templeton, Solana, Base, and others — alongside Excel plugins, APIs, and Snowflake Data Shares used by some of the world’s largest asset managers. Our mission is to make crypto’s promise of an open financial system real and to empower anyone, anywhere, to become a world-class investor in digital finance. Who We Are "Humans wanted for hazardous journey. Small wages, bitter cold, long months of complete darkness, constant danger. Safe return doubtful. Honor and recognition in case of success” — Ernest Shackleton, Antarctic Explorer At Artemis we are doing really challenging things, very much inspired by Ernest Shackleton’s mindset. Hard things are not for everyone, only the select few who have super human levels of mental fortitude, optimism, compassion, and courage. If this is who you are — join us. We are a team of crypto-natives and TradFi ex-analysts coming from Meta, Coinbase, Blackrock, Messari, Ribbit Capital, EY Blockchain, and Insight Partners. We raised from the best venture capitalists in the world. Job Overview What you'll do: Own protocol data: Customers are pounding our door for our initial suite of products. Our data platform is the foundation that holds all of this up and pushes our platform to new heights. In this role you will be a “full stack data engineer”, shipping features end-to-end to the Artemis terminal as well as building a scalable data platform that allows any analyst to do the same. Build the best open and free dashboards in the industry: we have an open Terminal that anyone in the world can use to understand what’s happening onchain. Your work will contribute to the free and open information system that digital finance will rely on. Push the crypto industry forward: Our mission is to bring first principle and long term thinking to crypto. That means giving the industry the best damn data they have ever seen and helping them understanding what they’re seeing. Build a name for yourself: We want everyone on our data team to be thought leaders in the space. We don’t just want you to build the free data dashboards - we want you to tweet about it + share your knowledge with the rest of the community. Customer Obsessed : At Artemis we work with the leading capital allocators in the space everyday (from multi-trillion dollar asset managers to leading liquid token funds). We take their feedback seriously and want you to build your own relationship with our clients and help push the space forward with them. Who you are You have 2+ years of data engineering, data science, or analytics engineering background Based in the broader New York City area For exceptional candidates we are open to remote You love to ship products, exercise agency, have a growth mindset, and love crypto You aren’t shy to work 60+ hour weeks You love hard and ambiguous data problems - we aren’t afraid to ask anyone so you can get the data that you need Prior experience working with onchain data (Dune, Flipside, etc.) is a huge plus Our Tech Stack: Modern Data Stack (Dagster, Snowflake, Bigquery, DBT) Read this case study we did with Dagster! Cloud Infrastructure on AWS and Data Cloud Infrastructure on AWS

WHAT WE DO MATTERS: At The Knot Worldwide, we champion celebration - and that starts with celebrating our people. Our employees are passionate dreamers, thoughtful doers, and lifelong learners who power meaningful moments for millions around the world. We’re united by authentic connection, shared purpose, and a deep commitment to the global community we serve. Here, flexibility and belonging go hand in hand with high performance. Driven by our core values, we believe the best ideas come from empowered teams: those who consistently collaborate with intention to design solutions, spark ideas, and drive impact. Our people are at the heart of our success. ABOUT THE ROLE AND OUR TEAM: The Knot Worldwide is seeking a Senior Data Scientist to join our team of data professionals supporting our E-commerce zone. This key business unit is a rapidly expanding area of growth including products like Paper (invitations and stationery), Registry, Wedding Websites and Guest Management. As a senior individual contributor within our Data Science & Analytics organization, this is an exciting opportunity to play a key role in shaping our business and product strategy. You will achieve this by guiding experimentation and unlocking new growth opportunities by translating data science models – built on comprehensive data about user behavior and business performance, into actionable, strategic insights. You will partner with cross-functional teams – including product managers, engineers, and business stakeholders, to ensure we are making data-driven decisions that deliver measurable results. As a trusted advisor and mentor, you will both lead analyses directly and elevate the work of the broader team. RESPONSIBILITIES: Gather, analyze, and interpret data to generate insights about our users and business and help the organization make informed and impactful decisions Apply advanced statistical and machine learning techniques (e.g., hypothesis testing, regression, classification, clustering, forecasting, causal inference) to uncover insights and guide strategy Forecast and simulate hypotheticals to provide early potential signals before large initiatives start Design and analyze A/B and multivariate testing experiments; guide experimentation best practices across teams Build and maintain self-serve reports, capabilities, and applications for partners within the organization Maintain a deep understanding of the product, relevant data assets, and the outcomes of past experiments and analyses Identify opportunities for new data products and integrations and collaborate with business and product partners to implement them Partner with engineers to ensure appropriate and scalable tracking is in place Communicate, collaborate, and present results and recommendations to stakeholders at multiple levels of the business Mentor and provide technical guidance to other data scientists and analysts SUCCESSFUL SENIOR DATA SCIENTIST CANDIDATES HAVE: Excellent communication skills; able to translate technical concepts to non-technical audiences Strong business acumen and ability to translate business problems into analytical solutions Advanced knowledge of statistics, including hypothesis testing, regression, causal inference, and forecasting Hands-on experience with experiment design, analysis, and rollout of A/B and multivariate tests Advanced SQL skills and ability to write efficient, production-ready queries Strong Python skills for data manipulation, visualization, and advanced analysis Knowledge of data modeling and experience partnering with engineers on data infrastructure Experience influencing stakeholders and driving alignment through data-driven insights Master’s or Ph.D. in a quantitative field preferred 3-5 years of experience in data science or advanced analytics, with some prior leadership, mentorship, or project ownership experience Experience working in a matrix environment for a product led company and/or online marketplace preferred WORK MODEL: This role is Together@TKWW-eligible and based near one of our office hubs. You’ll be expected to work in the office two days a week as part of our hybrid work model. At The Knot Worldwide, we believe you are more than a resume and invite you to go for it, take the leap of faith, and apply for this job. Together, we have an incredible opportunity to make it even easier for our customers to plan life’s most meaningful moments and for our small business owners to grow and scale. We would love to have you with us on our journey. WHAT WE LOVE ABOUT YOU: Commit to our customers : You act as one team on behalf of our customers. You lead with head and heart, and build what matters for life's most meaningful moments. Raise the bar: You define "great" and work backwards. You don't just accept how it's been done, but boldly define how it should be. You are unafraid to innovate, learn, and keep moving forward toward our shared vision. Be all in: You believe in our mission and take ownership of your work. You debate openly to reach the best outcomes, speaking with clarity and care, embracing diverse perspectives, then commit fully. Celebrate impact: You measure success by the outcomes you create. You hold yourself accountable to delivering value, while recognizing progress and the lessons learned along the way. You love to win, together. WHAT YOU LOVE ABOUT US: We believe in a wide range of holistic offerings to support our employees so that they can live our values day in and day out. From mental wellbeing, physical health and financial planning, to engaging perks and discounts, we are in the business of celebrating and supporting the Moments that Matter, both in and out of the office.. We offer flexible vacation, generous parental leave, and prioritize initiatives that support the growth, development, and happiness of our people. Together@TKWW is our approach to hybrid work. It’s designed to support how we work best: combining the flexibility we value with meaningful opportunities to connect in person. Whether a role is Together@TKWW-eligible or not, we believe in purposeful moments to come together, build strong relationships, and drive bold ideas forward. For Together@TKWW-eligible roles, this includes regular in-office time to foster collaboration and connection. For roles not eligible for in-office expectations , we support connection through virtual collaboration and intentional gatherings. To facilitate in-person collaboration, we have office spaces in Barcelona, Spain; Delhi, India; Galway, Ireland; London, England; New York, NY; and Washington, D.C. __ US Notice: The Knot Worldwide provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, or disability. In addition to federal law requirements, The Knot Worldwide complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. The Knot Worldwide expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Privacy Notice: The Knot Worldwide (TKWW) processes your personal data to evaluate your application, based on the legal ground of taking steps prior to entering into a potential employment contract. Only the data strictly necessary for this purpose is collected. In some cases, your data may also be processed based on TKWW’s legitimate interests (e.g., to improve recruitment practices or manage candidate pools), to which you can object at any time. You have the right to access, rectify, or delete your data, and to object to certain uses. To learn more about your rights, please consult our The Knot Worldwide (TKWW) processes your personal data to evaluate your application, based on the legal ground of taking steps prior to entering into a potential employment contract. Only the data strictly necessary for this purpose is collected. In some cases, your data may also be processed based on TKWW’s legitimate interests (e.g., to improve recruitment practices or manage candidate pools), to which you can object at any time. You have the right to access, rectify, or delete your data, and to object to certain uses. To learn more about your rights, please consult our Privacy Policy . If you wish to file a complaint, you may contact the competent data protection authority. If you wish to file a complaint, you may contact the competent data protection authority.

Join the Team! Is technology your passion? Do you want to work with smart, forward-thinking individuals? Do you want to grow in a career you love? At Align, our professionals are the key to our success. We don’t just hire talent, we invest in exceptional people who are forward-thinking, results-driven, and passionate about what they do. We’re a group of tech-savvy professionals who are motivated by making an impact. Our culture is one of unbounded opportunity that celebrates the passions, skills and ideas of our team—work hard, play hard, be smart! We believe great communities lead to great companies. That’s why we offer a dynamic workplace where you feel inspired, engaged and innovative. We offer professionals opportunities to train in the leading technologies, make an impact within the industry and acquire valuable new skills whether on client sites or in one of our regional offices. Position Overview The Head of Data Center Selection and Strategy is a passionate and entrepreneurial leader responsible for seeking data center solution sales and guiding infrastructure selection for our clients. This role requires expertise in data center facilities and high-level technology with a proven ability to identify, pursue, and secure enterprise client opportunities. This role will leverage their strong market knowledge and subject matter expertise to build relationships with data center real estate brokers, data center colocation providers and prospective clients. Success in this position requires strategic vision and the ability to manage and engage various parties for success. Candidates should demonstrate a comprehensive understanding of the data center market, critical system assessments, site selection, lease negotiations and transaction oversight. Experience working with high-profile enterprise clients, industry-leading brokerage firms and operators is highly valued. This role will be expected to conduct market research, advise clients on strategic outcomes, and deliver client-focused solutions that drive business growth and profitability. The ideal candidate will possess at least ten years of experience in the data center arena, with a minimum of five years focused on data center or technology real estate. Prior professional services experience, and a proven track record of entrepreneurial success are highly recommended. This role must be able to communicate effectively at all levels, mentor internal talent, and collaborate across teams to ensure seamless integration and shared objectives. Key Responsibilities Demonstrate expertise in data center infrastructure, with a comprehensive understanding of enterprise clients and the complexities involved in improving their environments. Experience spans from the data center space to the physical layer of technology, offering expert guidance and tailored solutions aimed at upgrading client portfolios. Build trusted advisor relationships with clients; communicate effectively at all levels within client organization (Board-level to DC Manager level); demonstrate knowledge and experience to be credible across DC environments. Assessment Guidance: Incorporate Align’s value by introducing our assessment abilities to determine site capacities for clients. Assist with strategic planning. Site Identification & Analysis: Work with the team to pinpoint locations and sites of interest for potential clients Stakeholder Engagement: Establish and nurture relationships data center owners, data center brokers and data center colo providers Negotiation & Agreement Management: Lead discussions for Align services including; assessments, site selection, design, plan, procure, build and execute Portfolio Strategy: Advise clients on existing data center capacities, technology portfolio optimization to identify significant savings and value-add opportunities. Transaction Oversight : Manage all aspects of leasing transactions, including tenant representation, landlord agency leasing, and marketing. Market Research : Conduct market research to identify trends, opportunities, and risks in the data center real estate sector. Project Management: Track milestones and ensure timely execution of site/infrastructure development strategies. Qualifications Experience: Minimum 10 years in the data center arena, with at least 5 years focused on data center or technology real estate. Expertise : Understanding of the data center market, portfolio management, and transaction processes. Industry Knowledge: Familiarity with major data center brokerage firms and operator. Skills : Exceptional negotiation, relationship-building, and project management skills. Education: Bachelor’s degree in Real Estate, Business, Engineering, or related field; advanced degree preferred. Entrepreneurial Mindset: Demonstrated ability to drive business growth and deliver client-focused solutions. To support a fair, consistent, and high-quality hiring experience, some interviews may be recorded. These recordings help our team focus fully on the conversation at hand, rather than note-taking, and allow us to better evaluate and improve our recruitment process. Recordings are used solely for internal purposes such as training, quality assurance, and process improvement. Candidates will be informed in advance and asked to provide consent before any recording takes place. Align is a premier global provider of technology infrastructure solutions. Align specializes in designing and deploying technology infrastructure solutions from the data center to the desktop as well as providing managed IT services for clients. Our professional services team, which includes Workplace Technology and Data Center Solutions provide strategic consulting, design, project management, engineering, implementation and support. Our best-in-class Managed Services team provides IT services and cybersecurity advisory for clients within the Alternative Investment industry. Align is a Microsoft Tier 1 Cloud Solutions Provider (CSP) and Gold Partner. Our client centric approach and passion for driving IT innovation has enabled us to provide tailored solutions and business transformations for over three decades. Leading firms have relied on Align to provide forward-thinking technology strategies that support their current and future business needs. Our teams have flawless track records of delivering technical solutions and have established long-standing relationships with an impressive client list of both Global 1000 and SMB clients. We work across a diverse list of industries including financial services, life sciences (pharmaceutical and health care), retail, technology, media and telecommunications. For more information, visit: www.align.com

Passionate about precision medicine and advancing the healthcare industry? Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time. Tempus' proprietary data and platform connect an entire ecosystem of real-world data to deliver real-time, actionable insights to researchers. Our data empowers researchers to better characterize and understand disease, and to drive better outcomes through precise, individualized care. The Scientific and Technological Solutions team is seeking a driven, intellectually curious member to bridge the gap between our cutting-edge analytical platform and the complex research questions of our clients. This role is central to client success and adoption of the Tempus Data Platform. You will serve as the primary technical and scientific resource, ensuring our clients can seamlessly integrate their research with our data and platform to derive meaningful, scientific answers. Key Responsibilities: Client Onboarding & Education: Lead the technical and scientific onboarding process for new clients, ensuring a smooth transition onto the Tempus Data Ecosystem and analytical platform. Scientific Problem Solving: Engage with clients (primarily researchers and scientists) to deeply understand their specific scientific hypotheses and questions (e.g., biomarker discovery, target identification, clinical trial design). Platform Guidance & Solutioning: Translate client scientific needs into actionable steps on the Tempus analytical platform. This includes designing workflows, structuring queries, and guiding the analysis of complex datasets (genomic, clinical, imaging). Technical Optimization: Identify and implement technological solutions and workflow improvements to make the client experience on the platform as easy, efficient, and intuitive as possible. Feedback Loop: Act as the voice of the client, collaborating closely with Tempus Product, Engineering, and Data Science teams to prioritize features and resolve technical challenges. Documentation & Training: Create high-quality technical documentation, tutorials, and training materials for clients on platform features and best practices for scientific analysis. Qualifications: Required Skills & Experience Advanced Scientific Degree: A Master’s or Ph.D. in a relevant scientific field (e.g., Computational Biology, Bioinformatics, Genomics, Data Science, or a related life science discipline). Data Analysis Proficiency: Demonstrated experience working with and analyzing large-scale biomedical datasets (e.g., Next-Generation Sequencing data, clinical trial data, real-world data). Technical Fluency: Hands-on experience with analytical tools and languages relevant to biomedical research. Having R coding experience is required. Knowing additional languages such Python and SQL and familiarity with cloud environments like AWS/GCP is a great added bonus . Team work: Proven ability to work collaboratively in a team environment and thrive in a fast-paced environment, willing to shift priorities seamlessly. Client-Facing Experience: Excellent written and verbal communication skills with a proven ability to explain complex technical and scientific concepts to both technical and non-technical audiences. Problem-Solving Mindset: A strong track record of identifying inefficiencies or scientific roadblocks and developing pragmatic, user-friendly solutions. Preferred (Bonus) Qualifications: Experience in the biotech, pharma, or healthcare technology space. Familiarity with distributed computing environments and modern analytical platforms. Direct experience with oncology research. Experience with R package development. Experience with: Pandas, NumPy, SciPy, Scikit-learn, Jupyter Notebooks, RStudio, R Package development, tidyverse, ggplot, Git, matplotlib, seaborn, HTML5, CSS3, JavaScript, D3, Plot.ly, Flask, Dask, Docker, AWS. CHI: $80,000-$120,000 USDNYC/SF: $90,000-$135,000 USD The expected salary range above is applicable if the role is performed from California and may vary for other locations (Colorado, Illinois, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position. Additionally, for remote roles open to individuals in unincorporated Los Angeles – including remote roles- Tempus reasonably believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: engaging positively with customers and other employees; accessing confidential information, including intellectual property, trade secrets, and protected health information; and appropriately handling such information in accordance with legal and ethical standards. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Job Summary: WHO ARE WE? Live Nation Entertainment is the world’s leading live entertainment and eCommerce company, comprised of four market leaders: Ticketmaster.com, Live Nation Concerts, Front Line Management Group and Live Nation Network. Ticketmaster.com is the global event ticketing leader and one of the world’s top five eCommerce sites, with over 26 million monthly unique visitors. Live Nation Concerts produces over 20,000 shows annually for more than 2,000 artists globally. Front Line is the world’s top artist management company, representing over 250 artists. These businesses power Live Nation Network, the leading provider of entertainment marketing solutions, enabling over 800 advertisers to tap into the 200 million consumers Live Nation delivers annually through its live event and digital platforms. For additional information, visit www.livenation.com/investors . WHO ARE YOU? Passionate and motivated. Driven, with an entrepreneurial spirit. Resourceful, innovative, forward thinking and committed. At Live Nation Entertainment, our people embrace these qualities, so if this sounds like you then please read on! THE TEAM Core Data Services team is at the center of Data and Analytics initiatives. We are building a modern data platform to support enterprise data needs. Our mission and yours too should you choose to join us, is to empower and enable our data community of data engineers, data scientists, analysts, product teams and decision makers to create value. We are building a highly functional, performant modern enterprise Data Lake while supporting our current data platforms. We focus on creating trusted, usable data assets in an environment that enables LNE teams to drive value for fans and our business. This is what defines us as a Core Data Services Team. THE ROLE We are seeking an experienced and visionary Director of Data Engineering for the Platform Tools and Services to lead our efforts in advancing the capabilities and functionalities of our data platform. In this role, you will be responsible for defining the strategic direction, overseeing the development of tools and services for data ingestion and driving the adoption of Databricks platform within our organization. As a key leader, you will collaborate cross-functionally with engineering, product management, and customer success teams to ensure the success of our data platform services initiatives. WHAT THIS ROLE WILL DO: Define and execute a comprehensive strategy for the enhancement and expansion of Data Platform tools and services, aligned with the company's overall goals and market trends. Lead a team of data engineers and software engineers and collaborate closely with cross-functional teams to ensure the successful delivery of scalable and efficient data ingestion services and common tools. Build or buy tools to monitor job run status, data quality and SLA thresholds Manage cross team dependencies and work with tech leads on solutions Encourages a culture of team driven decision making, ownership and accountability Develop a solid understanding of Databricks Unified Platform Manage and mentor a team of data platform engineers, fostering a culture of collaboration, innovation, and continuous learning Set performance expectations, conduct regular performance evaluations, and provide feedback to team members Identify skills gaps and training needs within the team and develop appropriate development plans Foster a diverse and inclusive work environment, ensuring equal opportunities for all team members Oversee the design, development, and maintenance of scalable data engineering infrastructure and efficient data ingestion ensuring optimal performance and reliability Drive the implementation of efficient data processing pipelines and workflows to support analytics, reporting, and machine learning initiatives WHAT THIS PERSON WILL BRING Proven experience (10+ years) in data engineering, with a strong emphasis on managing complex API development and data ingestion. Good software engineering experience is required. Expert in Databricks performance optimization and data ingestion techniques offered by Databricks. Expert in understanding the new features of Databricks in real world use cases. Strong experience in Spark, Python, Databricks and ETL is required. Expert in developing scalable and efficient data pipelines using PySpark. Good experience in full stack development including react UI development and developing backend services for data ingestion is preferred. Highly knowledgeable in selecting right tools and technology stacks for data ingestion. Strong leadership and management skills, as well as experience leading and developing high-performing teams. Requires a deep understanding of data engineering principles, strong managerial skills, and the ability to drive innovation and operational excellence. Deep technical experience across multiple technologies, governance frameworks, data security, and data platforms. Strong track record partnering with product stakeholders to refine technical data platform roadmap. Thought leader in organizations defining and implementing data mesh based platforms and ingestion strategies to enable various data needs. Excellent oral and written communication and presentation skills. Demonstrated experience with cross-functional teams in a geographically and culturally diverse environment. Exceptional strategic thinking, problem-solving, and decision-making skills. Excellent collaboration and partnering skills. Excellent people management skills and the ability to influence. Manage multiple priorities, be results-oriented, and be delivery-focused. Experience using ANSI SQL. Experience with cloud services from Amazon AWS, Google GCP, or Microsoft Azure is required. BENEFITS & PERKS Our motto is ‘Taking Care of Our Own’ through 6 pillars of benefits: HEALTH: Medical, Vision and Dental benefits for you and your family, including Flexible Spending Accounts (FSA) and Health Savings Accounts (HSAs) YOURSELF: Generous paid time off policy including paid holidays, sick time and paid days off for your birthday, Free concert tickets WEALTH: 401(k) program with company match, Stock Program FAMILY: New parent programs & support including caregiver leave and childcare cash, infertility support CAREER: Tuition reimbursement, student loan repayment internal growth and development programs & trainings OTHERS: Volunteer time off, crowdfunding network Live Nation’s policy regarding vaccinations and masking will evolve based upon updated regulations and factors related to COVID-19. Currently, we strongly encourage employees to be fully vaccinated or have received a negative COVID test within [24] hours of entering an office. EQUAL EMPLOYMENT OPPORTUNITY We are passionate and committed to our people and go beyond the rhetoric of diversity and inclusion. You will be working in an inclusive environment and be encouraged to bring your whole self to work. We will do all that we can to help you successfully balance your work and homelife. As a growing business we will encourage you to develop your professional and personal aspirations, enjoy new experiences, and learn from the talented people you will be working with. It’s talent that matters to us and we encourage applications from people irrespective of their gender, race, sexual orientation, religion, age, disability status or caring responsibilities. Live Nation strongly supports equal employment opportunity for all applicants regardless of age (40 and over), ancestry, color, religious creed (including religious dress and grooming practices), family and medical care leave or the denial of family and medical care leave, mental or physical disability (including HIV and AIDS), marital status, domestic partner status, medical condition (including cancer and genetic characteristics), genetic information, military and veteran status, political affiliation, national origin (including language use restrictions), citizenship, race, sex (including pregnancy, childbirth, breastfeeding and medical conditions related to pregnancy, childbirth or breastfeeding), gender, gender identity, and gender expression, sexual orientation, or any other basis protected by applicable federal, state or local law, rule, ordinance or regulation. We will consider qualified applicants with criminal histories in a manner consistent with the requirements of the Los Angeles Fair Chance Ordinance, San Francisco Fair Chance Ordinance and the California Fair Chance Act and consistent with other similar and / or applicable laws in other areas. We also afford equal employment opportunities to qualified individuals with a disability. For this reason, Live Nation will make reasonable accommodations for the known physical or mental limitations of an otherwise qualified individual with a disability who is an applicant consistent with its legal obligations to do so, including reasonable accommodations related to pregnancy in accordance with applicable local, state and / or federal law. As part of its commitment to make reasonable accommodations, Live Nation also wishes to participate in a timely, good faith, interactive process with a disabled applicant to determine effective reasonable accommodations, if any, which can be made in response to a request for accommodations. Applicants are invited to identify reasonable accommodations that can be made to assist them to perform the essential functions of the position they seek. Any applicant who requires an accommodation in order to perform the essential functions of the job should contact a Human Resources Representative to request the opportunity to participate in a timely interactive process. Live Nation will also provide reasonable religious accommodations on a case by case basis. HIRING PRACTICES The preceding job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job Live Nation recruitment policies are designed to place the most highly qualified persons available in a timely and efficient manner. Live Nation may pursue all avenues available, including promotion from within, employee referrals, outside advertising, employment agencies, internet recruiting, job fairs, college recruiting and search firms. #LI-EF1 #LI-RemoteUnitedStates ---------- The expected compensation for this position is: $180,000.00 USD - $225,000.00 USD Pay is based on a number of factors including market location, qualifications, skills, and experience.