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JLL empowers you to shape a brighter way. Our people at JLL and JLL Technologies are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you've got deep experience in commercial real estate, skilled trades or technology, or you're looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. Location: Palisades NY or NY Metro Responsible for carrying out the following duties specific to your position: Have strong fluency with the commissioning processes and deliverables covered in ASHRAE commissioning requirements and guidelines. Expertise in electrical and/or mechanical equipment/systems installation (means & methods), system startup and pre-functional inspections, acceptance testing and associated commissioning activities. Work directly with General Contractors, sub-contractors, inspectors, AHJs, Engineer of Record, and others involved with the project execution for small, medium and large critical facility construction and commissioning projects. Monitor, review, and execute all facets of Commissioning related projects by providing exceptional technical and project management services. In addition, the candidate will be expected to demonstrate strong management and technical functions throughout the design, pre-construction, construction, and post-construction phases of projects. Liaise with team members, outside consultants and contractors to lead cross functional teams on data center or mission critical commissioning projects. Protect JLL's contractual position and ensure our work meets contracted requirements. Develop or manage the development of Commissioning Plans and Commissioning Specifications. Develop, publish and manage the project commissioning plan from design phase through project completion. Manage project commissioning activities, including: Develop project proposals in response to client RFPs Identify required team makeup for the project(s) Develop and manage project budgets and financials Manage the development, review and approval of assigned L1-L5 commissioning test scripts and procedures Act as main point of contact with client throughout project duration Provide day-to-day directions to assigned team members Act as JLL point of escalation throughout project duration Manage and perform Commissioning Design Drawing, Specification and Submittal Reviews. Schedule, lead and document project commissioning meetings. Possess detailed understanding of how to develop and execute seasonal/performance tests. Write or manage development of detailed standard operating procedures (SOPs) and Methods-of-Procedures (MOPs). Develop and compile project documentation into site/project specific Systems Manuals. Strong proficiency in use of QA/QC and Cx software applications such as BIM360, CxAlloy, Facility Grid, and other related QA/QC and Cx applications. Ability to develop/review/evaluate vendor training programs for installed equipment and systems. Lead all of the project documentation requirements within scope of services for a given project. Accountable for the preparation, review, and issuance of same, and though these tasks may be delegated, there may/will be the need to personally prepare them to meet the required timelines. Lead team members in the performance of, and where necessary, self perform, front to back, all the field activity components. This includes scheduling and coordinating JLL and project team members accordingly, ensuring our requirements are fulfilled by the contractor and relevant sub-trades, and maximizing efficiency/productivity of our staff. Additional Expectations Willingness to travel overnight up to 50% to client sites across the USA and Canada. Travel durations typically do not exceed two week durations. Ideally candidate is home based out of our Palisades, NY office Qualifications A minimum of 7 years of relevant mechanical or electrical engineering and/or field-testing experience with minimum of 5 years in providing building commissioning and/or construction QA/QC field services for data centers An ABET accredited engineering or technology degree is preferred or equivalent industry experience. Ideally candidate will possess a Commissioning Professional certification from a recognized industry authority Prof Eng/PE or PMP designation is considered an asset but not required Knowledge and experience in testing Utility transformers, UPS systems, Generators and associated automated paralleling switchgear, ATSs and STSs, Fuel Oil systems, PDUs, EPMS, BMS, Chillers, CRAHs, CRACs, AHUs. Strong data management skills Strong team leadership skills Excellent written and verbal communication skills Proficiency in MS Project, Word, and Excel Demonstrated ability to coordinate and organize multiple project schedule inputs/performance data into a master schedule platform and deliver project/program status reports as required. Demonstrated ability to analyze and report against contractor (and other third party) schedule updates Experience working in a consultancy or owner organization is an asset Estimated compensation for this position: 175,000.00 - 210,000.00 USD per year This range is an estimate and actual compensation may differ. Final compensation packages are determined by various considerations including but not limited to candidate qualifications, location, market conditions, and internal considerations. Location: On-site -New York, NY, Orangeburg, NY If this job description resonates with you, we encourage you to apply, even if you don't meet all the requirements. We're interested in getting to know you and what you bring to the table! Personalized benefits that support personal well-being and growth: JLL recognizes the impact that the workplace can have on your wellness, so we offer a supportive culture and comprehensive benefits package that prioritizes mental, physical and emotional health. Some of these benefits may include: 401(k) plan with matching company contributions Comprehensive Medical, Dental & Vision Care Paid parental leave at 100% of salary Paid Time Off and Company Holidays Early access to earned wages through Daily Pay JLL Privacy Notice Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL's recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely. For more information about how JLL processes your personal data, please view our Candidate Privacy Statement. For additional details please see our career site pages for each country. For candidates in the United States, please see a full copy of our Equal Employment Opportunity policy here. Jones Lang LaSalle ("JLL") is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process - including the online application and/or overall selection process - you may email us at HRSCLeaves@jll.com. This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL. Pursuant to the Arizona Civil Rights Act, criminal convictions are not an absolute bar to employment. Pursuant to Illinois Law, applicants are not obligated to disclose sealed or expunged records of conviction or arrest. Pursuant to Columbia, SC ordinance, this position is subject to a background check for any convictions directly related to its duties and responsibilities. Only job-related convictions will be considered and will not automatically disqualify the candidate. California Residents only If you are a California resident as defined in the California Consumer Privacy Act (CCPA) please view our Supplemental Privacy Statement which describes your rights and disclosures about your personal information. If you are viewing this on a mobile device you may want to view the CCPA version on a larger device. Pursuant to the Los Angeles Fair Chance Initiative for Hiring Ordinance, JLL will consider for employment all qualified Applicants, including those with Criminal Histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Accepting applications on an ongoing basis until candidate identified.

Job Description We are a leading construction company committed to delivering high-quality, innovative projects. Our team integrates cutting-edge technologies into the construction process to streamline operations, enhance decision-making, and drive efficiency across all levels. We are looking for a talented Data Engineer to join our team and contribute to developing robust data solutions that support our business goals. This role is ideal for someone who enjoys combining technical problem-solving with stakeholder collaboration. You will collaborate with business leaders to understand data needs and work closely with a global engineering team to deliver scalable, timely, and high-quality data solutions that power insights and operations. Responsibilities Own data delivery for specific business verticals by translating stakeholder needs into scalable, reliable, and well-documented data solutions. Participate in requirements gathering, technical design reviews, and planning discussions with business and technical teams. Partner with the extended data team to define, develop, and maintain shared data models and definitions. Design, develop, and maintain robust data pipelines and ETL processes using tools like Azure Data Factory and Python across internal and external systems. Proactively manage data quality, error handling, monitoring, and alerting to ensure timely and trustworthy data delivery. Perform debugging, application issue resolution, root cause analysis, and assist in proactive/preventive maintenance. Support incident resolution and perform root cause analysis for data-related issues. Create and maintain both business requirement and technical requirement documentation Collaborate with data analysts, business users, and developers to ensure the accuracy and efficiency of data solutions. Collaborate with platform and architecture teams to align with best practices and extend shared data engineering patterns. Qualifications Minimum of 4 years of experience as a Data Engineer, working with cloud platforms (Azure, AWS). Proven track record of managing stakeholder expectations and delivering data solutions aligned with business priorities. Strong hands-on expertise in Azure Data Factory, Azure Data Lake, Python, and SQL Familiarity with cloud storage (Azure, AWS S3) and integration techniques (APIs, webhooks, REST). Experience with modern data platforms like Snowflake and Microsoft Fabric. Solid understanding of Data Modeling, pipeline orchestration and performance optimization Strong problem-solving skills and ability to troubleshoot complex data issues. Excellent communication skills, with the ability to work collaboratively in a team environment. Familiarity with tools like Power BI for data visualization is a plus. Experience working with or coordinating with overseas teams is a strong plus Preferred Skills Knowledge of Airflow or other orchestration tools. Experience working with Git-based workflows and CI/CD pipelines Experience in the construction industry or a similar field is a plus but not required. DPR Construction is a forward-thinking, self-performing general contractor specializing in technically complex and sustainable projects for the advanced technology, life sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great story of entrepreneurial success as a private, employee-owned company that has grown into a multi-billion-dollar family of companies with offices around the world. Working at DPR, you'll have the chance to try new things, explore unique paths and shape your future. Here, we build opportunity together-by harnessing our talents, enabling curiosity and pursuing our collective ambition to make the best ideas happen. We are proud to be recognized as a great place to work by our talented teammates and leading news organizations like U.S. News and World Report, Forbes, Fast Company and Newsweek. Explore our open opportunities at www.dpr.com/careers.

Job Description: Job title Director- Product Engineering, Data & AI Collaborate with Innovative 3Mers Around the World Choosing where to start and grow your career has a major impact on your professional and personal life, so it's equally important you know that the company that you choose to work at, and its leaders, will support and guide you. With a wide variety of people, global locations, technologies and products, 3M is a place where you can collaborate with other curious, creative 3Mers. This position provides an opportunity to transition from other private, public, government or military environments to a 3M career. The Impact You'll Make in this Role As a Director- Product Engineering, Data & AI, you will have the opportunity to tap into your curiosity and collaborate with some of the most innovative people around the world. Here, you will make an impact by: Consults with leadership team to set medium- to long-term strategic direction and operating plans Interacts with Stakeholders and Senior Leadership, to influence decision-making, operational/strategic planning, and developing strategies and solutions for complex and multi-faceted business problems Manage delivery of intelligence products including semantic models, knowledge graphs, generative insights, conversational interfaces, agents and algorithms. Drive cross-functional collaboration across engineering, data science, business stakeholders, and product teams to ensure successful delivery and adoption. Define product strategy and roadmaps aligned to business priorities and measurable outcomes. Establish iterative development practices to wireframe, prototype, pilot and scale products Establish Architectural Governance & Design Patterns to build sustainable, reliable and efficient data and AI products and services Establishing operational frameworks for product performance, data quality, and responsible AI practices. Lead leaders of multiple teams and mentoring talent, fostering a culture of innovation, accountability, and continuous improvement. Tracking and communicating ROI, ensuring products deliver tangible business value and efficiency gains. Establish Innovation processes to stay up to speed with industry developments including realtime data processing, transformation, graphical processing, agentic AI, AI assisted development etc. Key Responsibilities: Consults with leadership team to set medium- to long-term strategic direction and operating plans for a medium to large complex IT business operation. Develops business strategies and creates solutions for complex and multi-faceted problems. Provides advice and counsel for decision-making, operational/strategic plng, and info mgmt. Implements appropriate info technology for a typically medium to large IT business operation. Plans, organizes, and directs all info technology activities and policies, including the mgmt of one or more functional disciplines. Consults with leadership team to set medium- to long-term strategic technical direction for a Solution Center or Infrastructure footprint. Develops strategies and creates solutions for complex and multi-faceted problems. Your Skills and Expertise: Bachelor's degree or higher in computer science, Data Science, Engineering, Business, or a science field (completed and verified prior to start). Ten (10) years of experience in technical data or software leadership roles such as Architect, Lead or Manager in a private, public, government or military environment Five (5) years of experience designing and deploying data models and cloud architectures for finance, supply chain, sales and marketing Additional qualifications that could help you succeed even further in this role include: 5+ years of experience building and deploying and managing high volume AI/ML models in production 2+ years of experience building and deploying multiple Generative/Agentic AI applications at scale (1000+ daily users) Proven experience working in a platform-product operating model with expertise in scaling data and AI products, pipelines and solutions from 0 to 10,000+ users Prior experience with Agentic AI, Generative AI and AI/ML, including machine learning, natural language processing, and computer vision. Prior Experience with modern data engineering concepts including Data Warehouse, Lakehouse, ETL/ELT, Graph Databases, knowledge graph, Data Services Understanding of regulatory, ethical, and governance considerations associated with AI products, ensuring responsible and compliant product delivery. Excellent leadership, communication, and interpersonal skills. Ability to think strategically and execute methodically. Experience with agile development methodologies and project management tools Work location: 3M Global Headquarters in St. Paul, MN (4 days in office) Travel: May include up to 10% domestic/international Relocation Assistance: Not authorized Supporting Your Well-being 3M offers many programs to help you live your best life - both physically and financially. To ensure competitive pay and benefits, 3M regularly benchmarks with other companies that are comparable in size and scope. Chat with Max For assistance with searching through our current job openings or for more information about all things 3M, visit Max, our virtual recruiting Applicable to US Applicants Only:The expected compensation range for this position is $228,040 - $278,715, which includes base pay plus variable incentive pay, if eligible. This range represents a good faith estimate for this position. The specific compensation offered to a candidate may vary based on factors including, but not limited to, the candidate's relevant knowledge, training, skills, work location, and/or experience. In addition, this position may be eligible for a range of benefits (e.g., Medical, Dental & Vision, Health Savings Accounts, Health Care & Dependent Care Flexible Spending Accounts, Disability Benefits, Life Insurance, Voluntary Benefits, Paid Absences and Retirement Benefits, etc.). Additional information is available at: https://www.3m.com/3M/en_US/careers-us/working-at-3m/benefits/ . Good Faith Posting Date Range 09/11/2025 To 10/11/2025 Or until filled All US-based 3M full time employees will need to sign an employee agreement as a condition of employment with 3M. This agreement lays out key terms on using 3M Confidential Information and Trade Secrets. It also has provisions discussing conflicts of interest and how inventions are assigned. Employees that are Job Grade 7 or equivalent and above may also have obligations to not compete against 3M or solicit its employees or customers, both during their employment, and for a period after they leave 3M. Learn more about 3M's creative solutions to the world's problems at www.3M.com or on Instagram, Facebook, and LinkedIn @3M. Responsibilities of this position include that corporate policies, procedures and security standards are complied with while performing assigned duties. Safety is a core value at 3M. All employees are expected to contribute to a strong Environmental Health and Safety (EHS) culture by following safety policies, identifying hazards, and engaging in continuous improvement. Pay & Benefits Overview: https://www.3m.com/3M/en_US/careers-us/working-at-3m/benefits/ 3M does not discriminate in hiring or employment on the basis of race, color, sex, national origin, religion, age, disability, veteran status, or any other characteristic protected by applicable law. Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly. 3M Global Terms of Use and Privacy Statement Carefully read these Terms of Use before using this website. Your access to and use of this website and application for a job at 3M are conditioned on your acceptance and compliance with these terms. Please access the linked document by clicking here, select the country where you are applying for employment, and review. Before submitting your application, you will be asked to confirm your agreement with the terms.

About Us: Notion helps you build beautiful tools for your life's work. In today's world of endless apps and tabs, Notion provides one place for teams to get everything done, seamlessly connecting docs, notes, projects, calendar, and email-with AI built in to find answers and automate work. Millions of users, from individuals to large organizations like Toyota, Figma, and OpenAI, love Notion for its flexibility and choose it because it helps them save time and money. In-person collaboration is essential to Notion's culture. We require all team members to work from our offices on Mondays and Thursdays, our designated Anchor Days. Certain teams or positions may require additional in-office workdays. About The Role: Join Notion's Data Platform team as we scale our infrastructure for enterprise customers. You'll help design and build the core data platform that powers Notion's AI, analytics, and search while meeting stringent security, privacy, and compliance requirements. This role focuses on the data platform layer (storage, compute, pipelines, governance) and partners closely with Security, Search Platform, AI, and Data Engineering. What You'll Do: Design and evolve the data lakehouse Build and operate core lakehouse components (e.g., Iceberg/Hudi/Delta tables, catalogs, schema management) that serve as the source of truth for analytics, AI, and search. Own critical data pipelines and services Design, implement, and harden batch and streaming pipelines (Spark, Kafka, EMR, etc.) that move and transform data reliably across regions and cells. Advance EKM and encryption-by-design Work with Security and platform teams to integrate Enterprise Key Management (EKM) into data workflows, including file- and record-level encryption and safe key handling in Spark and storage systems. Improve data access, auditability, and residency Build primitives for fine-grained access control, auditing, and data residency so customers can see who accessed what, where, and under which guarantees. Drive reliability and observability Raise the operational bar for our data stack: improve on-call experience, debugging, and alerting for data jobs and services. Optimize large-scale performance and cost Tackle performance and cost challenges across Kafka, Spark, and storage for very large workspaces (20k+ users, multi-cell deployments), including cluster migrations and workload tuning. Enable ML and search workflows Build infrastructure to support training and inference pipelines, ranking workflows, and embedding infrastructure on top of the shared data platform. Shape the platform roadmap Contribute to design docs and evaluations that influence our long-term platform direction and vendor choices. Skills You'll Need: Experience: 5+ years building and operating data platforms or large-scale data infrastructure for SaaS or similar environments. Programming: Strong skills in at least one of Python, Java, or Scala; comfortable working with SQL for analytics and data modeling. Distributed data systems: Hands-on experience with Spark or similar distributed processing systems, including debugging and performance tuning. Streaming & ingestion: Experience with Kafka or equivalent streaming systems; familiarity with CDC/ingestion patterns (e.g., Debezium, Fivetran, custom connectors). Lakehouse / storage: Experience with data lakes and table formats (Iceberg, Hudi, or Delta) and/or data catalogs and schema evolution. Security & governance: Practical understanding of access control, encryption at rest/in transit, and auditing as they apply to data platforms. Cloud infrastructure: Experience with at least one major cloud provider (AWS, GCP, or Azure) and managed data/compute services (e.g., EMR, Dataproc, Kubernetes-based compute). Operations: Comfortable owning services and pipelines in production, including on-call, incident response, and reliability improvements. Nice To Haves: Experience working directly with enterprise customers or on features like data residency, EKM, or compliance-driven auditing. Prior work on Databricks, Unity Catalog, Lake Formation, or similar catalog/governance systems. Background implementing multi-region / multi-cell data architectures. Experience building ML training/eval workflows or model/feature stores on top of a shared data platform. Familiarity with vector databases or search infrastructure, and how they integrate with upstream data systems. Experience designing or improving observability for data platforms (e.g., Honeycomb, OpenTelemetry, metrics/trace-heavy debugging). Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Notion. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation made due to a disability, please let your recruiter know. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role's scope and complexity, and the candidate's experience and expertise, and may vary from the range provided below. For roles based in San Francisco, the estimated base salary range for this role is $230,000 - $300,000 per year. By clicking "Submit Application", I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion's Global Recruiting Privacy Policy. #LI-Onsite

About Zipline Do you want to change the world? Zipline is on a mission to transform the way goods move. Our aim is to solve the world's most urgent and complex access challenges by building, manufacturing and operating the first instant delivery and logistics system that serves all humans equally, wherever they are. From powering Rwanda's national blood delivery network and Ghana's COVID-19 vaccine distribution, to providing on-demand home delivery for Walmart, to enabling healthcare providers to bring care directly to U.S. homes, we are transforming the way things move for businesses, governments and consumers. The technology is complex but the idea is simple: a teleportation service that delivers what you need, when you need it. Using robotics and autonomy, we are decarbonizing delivery, decreasing road congestion, and reducing fossil fuel consumption and air pollution, while providing equitable access to billions of people and building a more resilient global supply chain. Join Zipline and help us to make good on our promise to build an equitable and more resilient global supply chain for billions of people. About You and The Role Zipline is on a mission to transform how goods move by making autonomous drone delivery the fastest, most reliable, and most delightful logistics system in the world. To deliver on that promise, we need to master the data-rich, highly dynamic environment of last-mile logistics. We're seeking a Principal Data Scientist to lead the development of models, algorithms, and decision frameworks that drive both customer growth and business optimization. This is not a role for someone who just builds dashboards or runs ad hoc analyses - you'll design and deploy optimization engines that directly shape customer experience, marketplace dynamics, and the economics of our business. With 10+ years of professional experience, you're comfortable owning ambiguous, high-stakes problems end-to-end, from problem framing through to production-ready solutions. Your work will ensure Zipline grows fast, scales efficiently, and delivers a magical experience that keeps customers coming back. What You'll Do Marketplace Growth & Engagement: Use statistical and optimization techniques to determine which restaurants/customers to onboard, how to present them digitally, and what mix maximizes engagement and repeat ordering. Pricing & Capacity Optimization: Build models that set optimal prices, balance supply and demand, and define customer-facing constraints to maximize revenue while ensuring a great experience. Customer Experience Tradeoffs: Design frameworks that quantify the ROI of business decisions (e.g., packaging quality, delivery timeliness, customer support investment) and recommend commercial strategies. Marketing Analytics: Run large-scale A/B tests on customer communications, optimize marketing language and digital merchandising, and build models that accelerate customer acquisition and retention. Data Leadership: Partner with engineering, operations, and growth teams to embed data science into the core of decision-making across the business. What You'll Bring 10+ years of professional experience, with significant work as a data scientist, optimization researcher, or applied decision scientist, ideally in last-mile delivery, e-commerce, or marketplace platforms. Deep expertise in applied optimization, causal inference, statistical modeling, and machine learning. Strong engineering skills in Python and SQL, with experience deploying algorithms into production systems. Track record of building and scaling experimentation platforms (A/B testing, marketplace simulations, demand forecasting). Business acumen and the ability to translate complex models into simple, actionable decisions for cross-functional stakeholders. Experience with pricing optimization, supply-demand balancing, or customer lifecycle modeling strongly preferred. Reliability, self-sufficiency, conscientiousness, and comfort navigating ambiguous, high-impact problems in a fast-paced environment. Must be eligible to work in the US. Why This Team? You'll work on problems that directly define the success of Zipline's B2C business: how fast we grow, how efficient we are, and how magical the customer experience feels. Your work won't sit on a shelf - the models you build will be deployed in production and used daily to drive millions of decisions. You'll shape the data science culture at Zipline, bringing senior-level expertise to a fast-growing team. You'll join a group that values rigor, speed, and creativity - solving some of the hardest optimization problems in modern logistics. What Else You Need to Know Zipline is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, ancestry, national origin, religion or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or other characteristics protected by state, federal or local law or our other policies. We value diversity at Zipline and welcome applications from those who are traditionally underrepresented in tech. If you like the sound of this position but are not sure if you are the perfect fit, please apply!

About JLG, an Oshkosh company JLG began in 1969, when our founder, John L. Grove set out to resolve growing safety concerns in the construction industry. Since then we have been committed to understanding the challenges and delivering innovative solutions to the access market. We partner with customers to provide quality equipment, training opportunities and trusted support within the access industry. We are a global company, and our products-including mobile elevating work platforms, telehandlers, utility vehicles and accessories-can be found all over the world. The Data Analytics and AI Intern will work alongside cross-functional teams to support the development, deployment, and enhancement of data-driven solutions using analytics and artificial intelligence. This hands-on internship will expose the candidate to real-world projects involving data modeling, machine learning, business intelligence, and operational optimization. This role is ideal for students who are passionate about solving business problems through data and emerging technologies like AI, ML, and predictive analytics. YOUR IMPACT These duties are not meant to be all-inclusive and other duties may be assigned. Data Collection & Preparation Assist with data wrangling, cleaning, and transformation across multiple structured and unstructured data sources. Collaborate with data engineers to validate data integrity and availability for analytical use. Analytics & Visualization Perform exploratory data analysis (EDA) to identify trends, patterns, and insights. Build dashboards and reports using tools such as Power BI, Tableau, or Python libraries. AI & Machine Learning Projects Support development of machine learning models for use cases such as predictive maintenance, quality forecasting, supply chain optimization, and anomaly detection. Assist in training, validating, and testing models using frameworks like Scikit-learn, TensorFlow, or PyTorch. Business Collaboration & Insights Translate business questions into data problems and help derive actionable insights. Present findings to technical and non-technical stakeholders using clear visuals and storytelling. Research & Innovation Stay updated on AI/ML trends, tools, and techniques and provide recommendations for adoption. Conduct literature reviews or benchmarking studies to support internal innovation initiatives. MINIMUM QUALIFICATIONS Student working towards a bachelor's in Supply Chain Management, Business, Information Technology, Engineering, or related field. STANDOUT QUALIFICATIONS Proficiency in Microsoft Office Suite; knowledge of data analysis tools (Excel, Power BI, Tableau); familiarity with ERP systems, AI, VBA, and/or Python is a plus. Strong analytical and problem-solving skills with an ability to translate data into actionable insights. Excellent verbal and written communication skills WORKING CONDITIONS The following represents general working conditions for this office-based role. Specific conditions may vary depending on business needs and individual circumstances. This role is primarily performed in a professional office environment with standard lighting, ventilation, and temperature-controlled settings. Duties are largely sedentary, requiring extended periods of sitting and using a computer and telephone. Visual acuity to operate a computer and read documents is required, along with auditory ability to participate in virtual and in-person meetings. Occasional movement within the office environment is necessary, including walking short distances, standing, or reaching for files. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this role. Pay Range: $18.00 - $37.00 The above pay range reflects the minimum and maximum target pay for the position across all U.S. locations. Within this range, individual pay is determined by various factors, including the scope and responsibilities of the role, the candidate's experience, education and skills, as well as the equity of pay among team members in similar positions. Beyond offering a competitive total rewards package, we prioritize a people-first culture and offer various opportunities to support team member growth and success. Oshkosh is committed to working with and offering reasonable accommodation to job applicants with disabilities. If you need assistance or an accommodation due to disability for any part of the employment process, please contact us at corporatetalentacquisition@oshkoshcorp.com. Oshkosh Corporation is a merit-based Equal Opportunity Employer. Job opportunities are open for application to all qualified individuals and selection decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, or other protected characteristic. To the extent that information is provided or collected regarding categories as provided by law it will in no way affect the decision regarding an employment application. Oshkosh Corporation will not discharge or in any manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with Oshkosh Corporation's legal duty to furnish information. Certain positions with Oshkosh Corporation require access to controlled goods and technologies subject to the International Traffic in Arms Regulations or the Export Administration Regulations. Applicants for these positions may need to be "U.S. Persons," as defined in these regulations. Generally, a "U.S. Person" is a U.S. citizen, lawful permanent resident, or an individual who has been admitted as a refugee or granted asylum.

About Cubist Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. Role We are passionate about data. We collaborate to build elegant, effective, scalable and highly reliable solutions to empower predictive modelling in finance. Cubist's data services group is looking for a Data Analyst to join our dedicated team. Our group is responsible for the timely delivery of comprehensive and error-free data to some of the most demanding and successful systematic Portfolio Managers in the world. This exceptional individual will be a member of a small team of Data Scientists/Analysts who play a vital role in ensuring the smooth day-to-day implementation of a large research infrastructure, and the live production trading of billions of dollars of capital across global capital markets, including equities, futures, options and other financial instruments. Responsibilities Analyzing financial datasets and preparing reports for investment teams Creating derived data content and data ingestion pipelines Identifying potential data sources Engaging with vendors to understand characteristics of datasets Defining and automating qualitative data checks Assist with data questions and requests from investment teams Creating and maintaining internal documentation on datasets Requirements Strong programming skills in Python and SQL. Experience with AWS and Airflow preferred but not required Financial industry experience preferred but not required Strong organization, communication and interpersonal skills Attention to detail and a love of process Strong oral and written communication skills Ability to exercise sound judgment in assessing and determining how to handle queries, calls and issues Ability to multitask and prioritize assignments The annual base salary range for this role is $100,000-$150,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.

Location: NYC Hybrid Full-time Role summary: We are seeking a Data Analyst to join our Operations team in the Americas region. The ideal candidate will have a background in analytics, proven experience in SQL, and is an expert at building dashboard solutions that provide our business leaders with the data and insights they need to help service our customers with excellence. What you'll do: Provide accurate and user-friendly data models, insight, reports, and dashboards Analyze data, track operational performance, alert and analyze abnormal trends Work with different stakeholders in the company, such as Operations, BizDev, Product, Tech and Program Managers Who you are: 3+ years of working experience as a Data Analyst in tech/fintech companies 3+ years of experience building dashboards with visualization platforms - Power BI, Tableau, Looker, etc. Degree in Industrial Engineering, Statistics, Software Engineering, Computer Science, Mathematics or another quantitative field Highly experienced with SQL Experience working with Python, with focus on Pandas - advantage! Experience with data modelling, BI/ETL development. - advantage! Experience working in cloud environments (Google Cloud Platform, BigQuery) preferred Experience working with operational KPI Metrics What we offer: Discounted medical, dental, and vision insurance (coverage starts on day one) HSA and FSA 401K with employer match Employee Stock Purchase Plan (ESPP) Fitness/Wellness reimbursement Generous PTO, paid holidays, and parental leave Learning and development opportunities Flexible work from home schedule Volunteer activities Fun office culture with supportive leadership In accordance with New York City Law, below is the annual base salary range for this position. Actual annual base salary is based on, but not limited to: experience, education, professional licenses, location and business needs. The position is eligible for health insurance, disability insurance, life insurance, 401k plan, paid-time off, and sick (and where applicable safe) leave. This position is also eligible for a discretionary year-end bonus. The annual base salary range for this position is: $85,000 - $100,000. #LI-FD1

At Barings, we are as invested in our associates as we are in our clients. We recognize those who work diligently for us and reward them for personal and professional integrity, communication skills, distinct competencies and expertise in specific strategies, ability to collaborate as a team member and true dedication to the interests of our clients. We thank you for your interest in joining the Barings team, and invite you to explore our current employment opportunities. Position Title: Senior Data Analyst, Asset-Based Finance Corporate Title: Director Department: Global Private Structured Finance Group, Global Private Finance Location: Charlotte, NC Barings ABF group specializes in a range of public and private asset based investments, primarily residential mortgage related. Our team combines deep industry expertise with advanced analytics to make informed investment decisions and create value for our clients. We are seeking a talented and proactive Analyst to join our quantitative analytics and modeling team. The Senior Analyst will be responsible for independently assessing results from their analysis, deriving actionable insights, and proactively engaging with stakeholders to discuss findings and recommendations. This role requires strong analytical skills, effective communication, and the ability to work closely with cross-functional teams to ensure that insights are implemented. Responsibilities Design and manage system for delivering regular and ad hoc reports on asset-based finance assets, leveraging Power BI or similar analytics platforms. Constantly improve and update the system over time. Analyze internal asset data, model results, external reports and economic data to understand risks and opportunities. Lead ad hoc analytical projects to obtain deep insights into the relationship between mortgage, economic and demographic data and performance outcomes for ABF collateral. Present findings clearly to both internal stakeholders and third-party investors. Review modeling and forecasting assumptions to ensure that they align with reality and Barings' and investors' risk appetite. Mentor other data analysts to expand the capabilities and expertise within the team. Qualifications Bachelor's degree required; advanced degree is a plus. Educational background in a quantitative field (e.g., mathematics, statistics, engineering) strongly preferred. Minimum of five years of experience in a similar role in Asset-Based Finance or similar field in banking or finance. Proficiency with Power BI or similar reporting software. Expertise in querying and manipulating data using SQL or similar language. Proficiency in Python, R and other programming languages is a plus. Excellent communication skills for presenting data-driven insights. Strong attention to detail. This opportunity is ideal for someone who wants to have a senior/leading role in a data analytics team, combining technical expertise with a passion for communicating actionable insights. If you are curious, proactive, and thrive in a dynamic environment, we encourage you to apply and help shape the future of asset-based finance at Barings. #LI-JB1 Requisite Skills Additional Skills Barings is an Equal Employment Opportunity employer; Minority/Female/Age/Sexual Orientation/Gender Identity/Individual with Disability/Protected Veteran. We welcome all persons to apply. Barings offers a comprehensive benefits package including: CORE BENEFITS & WELLNESS Medical (including Virtual Care), Prescription, Dental, and Vision Coverage Fitness Center Reimbursement Program (Including Online Memberships) Employee Assistance Program (EAP) Fertility Benefits FINANCIAL WELL-BEING Highly competitive 401(k) Plan with Company Match Health Savings Account (HSA) with Company Contributions Flexible Spending Accounts (FSA) - Health Care & Dependent Care Retirement Health Reimbursement Account LIFE INSURANCE Basic and Supplemental Life Insurance Spouse and Child Life Insurance TIME OFF, DISABILITY AND LEAVE OF ABSENCE Paid Vacation, Sick Days and Annual Holidays Paid Leave of Absences (Maternity Leave, Parental Leave, Caregiver Leave, Bereavement Time) Short and Long Term Disability Plans Paid Volunteer Time OTHER BENEFITS Education Assistance Program Charitable Matching Gifts Program Commuter Reimbursement Program Adoption and Surrogacy Reimbursement Program

AFL manufactures industry-leading fiber optic cable, connectivity and accessories and provides engineering and installation services for some of the largest telecom customers in the world. Our company was founded in 1984 with a single fiber optic cable and today, we manufacture thousands of products, generate in excess of $2B in revenue, and employ approximately 9,000 associates worldwide. At AFL, we recognize that our associates are our greatest asset. We hire and train each individual, investing in them to ensure success in their careers. With a commitment to professional development and growth, let us connect you to your next career opportunity. What We Offer Professional development, training, and tuition reimbursement programs Opportunities for career advancement with an industry-leading company Remote Office Schedule or Hybrid schedule options Flexible time off policy 401K Company match Excellent medical, dental, vision, and life insurance policy options Responsibilities Create and maintain a customer technology roadmap based on market trends. Drive technical influence to ensure AFL is seen as a primary technology partner. Fully understand customer's data center architecture and maintain up to date drawings. Identification of customer road maps, specific pain points and potential paths to eliminate pain points. Influence major technical changes at the earliest stage, ensuring that AFL is the primary technology partner for assigned customer. Act as technical lead for all optical connectivity within assigned customer(s) Map and continuously update technical org structures of key accounts. Maintain strong technical relationships and trust with key influencers. Participate in regular stakeholder meetings, with minimum quarterly cadence. Maintain a customer-specific technology and business strategy overview. Coordinate technical content and presentations for customer sync meetings. Track and report monthly strategic activity and customer updates Collaborate with Sales, Product Management and Engineering teams to meet customer needs. Translate customer requirements into actionable tasks for AFL. Work with Product Line Managers and Engineering to develop innovative solutions. Define and document new product needs using the NPAF process. Manage pipeline of New Product developments and act as customer liaison through the development process Manage customer drawing creation and approvals within the required timeframes. Participate in technical testing, demos, and implementation of solutions. Represent AFL at industry-leading conferences and standards meetings. Align with Fujikura and Industry partners to drive future-focused product initiatives. Provide thought leadership through white papers, technical content, and external publications. Qualifications Bachelor's degree in engineering, Science, or a technical field preferred 5+ years of experience in large-scale data center deployments Deep understanding of fiber optic connectivity and data center infrastructure Ability to create technical drawings in Visio. Experience in both active and passive networking technologies Familiarity with tools such as Oracle, GP, SFDC, Visio, and MS Office Personal Qualities Excellent oral and written communication skills Strong organizational and documentation skills Resilient, proactive, and solution-oriented mindset Collaborative and confident in cross-functional teams Independent thinker with a global business perspective Detail-oriented, strategic, and customer-focused Working Conditions Remote or hybrid working arrangement. Travel required: 25-50% (domestic with occasional international) Participation in technical and strategic meetings with customers Attendance at industry events and standards organizations

Varo is an entirely new kind of bank. All digital, mission-driven, FDIC insured and designed for the way our customers live their lives. A bank for all of us. About The Role Varo represents a new generation of fintech built on technology and innovation to empower consumers. We serve millions of Americans with our mobile app to make digital banking easy, convenient, and personalized. As a Senior Data Scientist (Machine Learning), you'll get the chance to develop innovative models that affect millions of users in the fintech space. You'll work with experienced Machine Learning Scientists as well as collaborate with your peers on exciting science problems in the fraud detection, risk modeling, personalization, operations, and causal inference spaces. About the Data Science Team Varo's Data Science Team develops Machine Learning models that make it easier for the right people to get access to funds, help protect customers from fraudsters, and transform the in-app experience with real-time recommendations. Unlike some organizations where data takes a support role, here at Varo data science is front and center. Since we are in hyper-growth mode, you will get to work on the most impactful data science problems from day one. We rely on advanced techniques in machine learning, cloud platforms, and data technology. We're a team of PhDs and ex-academics with a collegial work atmosphere. If you are interested in working with an impressive team of Data pros who collaborate and challenge each other and want to solve interesting problems to propel the company's growth, apply now! What you'll be doing Develop production-grade ML algorithms, such as fraud detection algorithms, recommender systems, dynamic credit risk models, and large-scale causal inference models, as well as processes for monitoring and analyzing their performance Leverage large data sets from different sources, and use modern modeling techniques such as tree-based methods, neural networks, and reinforcement learning to increase and optimize customer experiences, customer acquisition, underwriting, and other business outcomes Work with stakeholders throughout the organization to identify opportunities for driving business decisions or improving our product suite with ML Collaborate cross-functionally with the engineering team to deploy models and monitor outcomes You'll bring the following required skills and experiences An advanced degree in a quantitative field - computer science, engineering, statistics, operations research, economics, etc. 4+ years of experience as a Data Scientist, Machine Learning Scientist, or Research Scientist as an individual contributor, including but not limited to relevant experience from your PhD research Experience applying a wide range of statistical techniques to large data sets, and understanding their real-world advantages/drawbacks Experienced in using Python for analysis, modeling, and visualization (numpy, pandas, scikit, nltk, matplotlib, etc.) Ability to thrive in a fast-paced environment Strong bias for action and team player Preferred: Familiarity with Sagemaker, Spark, TensorFlow, Keras, and PyTorch $150,000 - $200,000 a year For cash compensation, we set standard ranges for all US-based roles based on function, level, and geographic location, benchmarked against similar-stage growth companies. Per applicable law, the salary range for this role is $150,000 - $200,000. Final offer amounts are determined by multiple factors as well as candidate experience and expertise and may vary from the identified range. #MidSenior We recognize not everyone will have all of these requirements. If you meet most of the criteria above and you're excited about the opportunity and willing to learn, we'd love to hear from you! About Varo Varo launched in 2017 with the vision to bring the best of fintech into the regulated banking system. We're a new kind of bank - all-digital, mission-driven, FDIC-insured, and designed around the modern American consumer. As the first consumer fintech to be granted a national bank charter in 2020, we make financial inclusion and opportunity for all a reality by empowering everyone with the products, insights, and support they need to get ahead. Through our core product offerings and suite of customer-first features, we aim to address a broad range of consumer needs while profitably serving underserved communities that have been historically excluded from the traditional financial system. We are growing quickly in our hub locations of San Francisco, Salt Lake City, and Charlotte along with colleagues located across the country. We have been recognized among Fast Company's Most Innovative Companies, Forbes' Fintech 50, and earned the No. 7 spot on Inc. 5000's list of fastest-growing companies across the country. Varo. A bank for all of us. Our Core Values Customers First Take Ownership Respect Stay Curious Make it Better Learn more about Varo by following us: Facebook - https://www.facebook.com/varomoney Instagram - www.instagram.com/varobank LinkedIn - https://www.linkedin.com/company/varobank Varo is an equal opportunity employer. Varo embraces diversity and we are committed to building teams that represent a variety of backgrounds, perspectives, and skills. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Beware of fraudulent job postings! Varo will never ask for payment to process documents, refer you to a third party to process applications or visas, or ask you to pay costs. Never send money to anyone suggesting they can provide work with Varo. If you suspect you have received a phony offer, please e-mail [email protected] with the pertinent information and contact information. CCPA Notice at Collection for California Employees and Applicants: https://www.varomoney.com/privacy-legal/ We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

The Senior Director of Regional Data Center Facility Operations oversees teams throughout the region to ensure proper practices and procedures. The Sr. Director will also provide Implementation Management support for certain key accounts to ensure successful service delivery. Responsibilities: Management of the Facilities Employee Management including recognition, reviews, career development, corrective actions and scheduling Interviewing and hiring new employees Employee training and training updates Maintain Operations Policies, Procedures and Guidelines. Support Work with the Manager of Implementations to assure smooth implementations for the customer Review all terms and conditions of customer contracts and orders Serve as Implementation Manager for certain key accounts to ensure successful service delivery. Follow CyrusOne processes on tracking and reviewing project costs, submitting PO requests, coordinating with vendors, reporting on project health, etc. Customer Environmental Services Management Create and deliver scopes of work for environmental consulting Work with Sales to deliver Environmental services proposals Work with the Operations to assure peer to peer connectivity and monitoring is in place for delivered services Support of Phase 6 Work with the Vice President of Data Center Operations to assure that environmental issues are handled and communicated correctly to customers Set up and maintain environmental monitoring solutions for all managed facilities within the NOCC Environmental Management Manage day to day operations of Air (Production & Distribution), Power, Fire, and Access Proactively develop and implement maintenance activities Report on all SLA required activities Capacity Management Maintain status and future status reporting on all capacity thresholds within the facility Access Management Work with the Security Manager to assure all access points are monitored and controlled Manage all security issues to resolution and conduct post mortems for future assurance Create access levels for new clients, assign access levels to vendors, monitor equipment leaving facility and generally oversee all aspects of Security Facility Operations Assurance Manage all sub-contractor agreements for maintaining the building Asset Management Management of our asset tracking processes, and systems Reporting on Assets for customers and internal Daily reporting and communication Data Policing for all Reporting of Operational KPIs Administering Daily Shift Reporting Generate periodic reports Regulatory compliance Management Updates for our Business Continuity Planning Perform SAS 70 Re-occurring audits Updates and Training for our Facility Operations Handbook Perform SOX Audits Perform SOC 2 Audits Problem Resolution Customer Issue Resolution Owner Verification and analysis of alerts Post mortems on all customer complaints. Customer Communication Emergency Action Communication - Creation for Validation. Signoff Point for Customer Transition from Engagements to Operations Customer Concerns discussions Budgeting and Forecasting Responsible for generating and adhering to annual OpEx budget Responsible for generating and adhering to annual CapEx budget Create, submit, and present capital project budget requests to the Capital Committee Manage strategic initiatives on behalf of the company Set forth the vision and roadmap for achievement Develop and organize the team to fulfill the roadmap Monitor and manage activities associated with fulfilling the vision Performs other duties as assigned Qualifications: 9+ years' experience in managing critical facilities in a data center environment 12+ years supervisory or personnel management experience Excellent verbal and written communication skills Ability to work well with all levels of people within the organization Ability to direct and manage work groups Excellent organizational skills Ability to work well under pressure and manage multiple concurrent priorities Excellent time management skills Demonstrates strong customer service skills and takes ownership of the customer experience Ability to develop and document procedures and train personnel on the procedures Can proactively identify potential customer issues; communicate them to appropriate parties and resolve. Takes ownership for business performance Provides constructive thought leadership on ways to improve service. Pursues creative ways to reduce expenses when possible. Operates with a strong work ethic and a desire to do things the right way. Proactively offers constructive and creative ways to improve our business. Leads by example in helping to build and sustain a healthy, supportive and results driven culture. Exercises good judgment in communicating and resolving issues with fellow co-workers. As a CyrusOne representative, treats all vendors, contractors, employees with respect and professionalism. Encourages constructive feedback on performance so lessons can be learned as part of a continuous improvement culture. Displays personal commitment to always learn and improve. Education/Certifications: Bachelor's Degree in Computer Science, Business Administration or related field (equivalent work experience may be substituted for degree) Work environment: Fast paced environment Travel required. 25% for candidates in Sterling, VA. More for other locations. Salary Range: $220,000 - $235,000 plus bonus CyrusOne is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. CyrusOne provides reasonable accommodation for qualified individuals with disabilities in accordance with the Americans with Disabilities Act (ADA) and any other state or local laws. We will respond to requests for reasonable accommodations to assist you in applying for positions at CyrusOne, or to submit a resume.

Celsius, based in Boca Raton, FL, is a global consumer packaged goods company with a proprietary, clinically proven formula for its master brand CELSIUS, a lifestyle energy drink brand born in fitness and a pioneer in the rapidly growing energy category. At Celsius, we pride ourselves in providing our employees with a culture and atmosphere of inclusiveness that challenges individuals to be thought leaders, innovators, and game changers-as every employee is an owner of the CELSIUS brand upon joining the organization. Ready to energize your career? Join a team that's pushing boundaries and redefining what it means to LIVE FIT. Position Overview We are seeking a seasoned Senior Data Governance Analyst to strengthen our global data governance and compliance framework across a diverse portfolio of consumer products and markets. This role will help ensure that our enterprise data is accurate, secure, standardized, and trusted - enabling smarter decisions and innovation across all business functions, including supply chain, marketing, sales, finance, and R&D. Reporting to the VP of Data, the Sr. Data Governance Analyst will partner with data owners, data stewards, business stakeholders, and IT Teams across regions to define policies, improve data quality, and ensure compliance with global data privacy regulations.

Senior Data Specialist Employment Type: Full-Time, Experienced Department: eDiscovery CGS is seeking an experienced Senior Data Specialist with extensive knowledge of litigation discovery processes to provide assistance in the EDRM workflow for a large Federal agency initiative. CGS brings motivated, highly skilled, and creative people together to solve the government's most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success: Performs file manipulation, loading, conversion services, database indexing, and quality checks of loads. Develops, evaluates and modifies methodologies and procedures for manipulating files for use with COTS products and litigation support applications. Responsible for ensuring that incoming productions are made pursuant to the applicable ESI specifications. Performs advanced tasks related to exporting data from contractor and client databases, including: identifying data for export, confirming redactions and other markups, ensuring that exports comply with applicable ESI specifications, and quality check of exported data. Support client attorneys, investigators, and paralegals by tracking and processing incoming documents, subpoena returns, and data; creating, loading, and managing document review databases; producing documents to opposing parties in litigation; and tracking produced documents. Applications used include Everlaw, Relativity, Eclipse, Trial Director, NUIX, LAW, EZManage, CaseView, Metadata Assistant, Beyond Compare, eScan-IT, CaseMap, TextMap, TimeMap, Camtasia, and other applications as directed, or as required to complete processing. Under guidance from the client attorneys, manages documents and data, including the use of document review tools. Documents and data include physical documents, a wide range of Electronically Stored Information (ESI), discovery, forensic images, subpoena returns, PDF's, audio/video files, pictures, forms, email, and others as required to support the client attorneys. Document review tools include those listed in item Contractor will work with the Litigation Support Manager to ensure that incoming productions are made pursuant to the applicable ESI specifications and when deficiencies are found, provides Litigation Support Manager with detailed notice of deficiencies. Coordinate with the client's Technology Service Center regarding litigation support projects that are outsourced to the client. Contractor will ensure that all exports for productions are made pursuant to applicable ESI specifications and/or the requirement of the requesting party or client personnel using the guidelines utilized by the Litigation Support Unit. Work with Litigation Support Manager and client attorneys when issues may arise in discovery negotiations with defense counsel. Contractor will work with the Litigation Support Specialist in modifying and manipulating files for use with COTS products and litigation support applications. Qualifications: Undergraduate degree preferred-preferably in computer science or related field Requires knowledge of litigation discovery process, and the Electronic Discovery Reference Model (EDRM) workflow. Knowledge of Government's IT environment, including office automation networks, PC and server based applications preferred. Working knowledge of personal computers, including Windows, document review software, and encryption methods. Experience with LAW, IPRO, Relativity or other document processing platform. Familiarity with ICONECT, Relativity, MS Office Suite, and West LiveNote valued. At least two years' experience performing eDiscovery roles including but not limited to electronic files processing (EFP), image and data file conversion, data culling using review tools, quality assurance, database loads and retrieval, and data analysis. Our Commitment: Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client's specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years, we've been growing our government-contracting portfolio, and along the way, we've created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work. Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package. Health, Dental, and Vision Life Insurance 401k Flexible Spending Account (Health, Dependent Care, and Commuter) Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation! Explore additional job opportunities with CGS on our Job Board: https://cgsfederal.com/join-our-team/ For more information about CGS please visit: https://www.cgsfederal.com or contact: Email: [email protected] #CJ $80,000 - $100,000 a year We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Industry/Sector Insurance Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. You'll focus on aligning client data strategies to their business strategy. You will assist clients in choosing a platform, defining their data needs and migrating them to a modern cloud data environment using cloud providers such as Azure, Google Cloud Platform, Amazon Web Services, Snowflake, Databricks or Teradata. To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future. As a Senior Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: Use feedback and reflection to develop self awareness, personal strengths and address development areas. Delegate to others to provide stretch opportunities, coaching them to deliver results. Demonstrate critical thinking and the ability to bring order to unstructured problems. Use a broad range of tools and techniques to extract insights from current industry or sector trends. Review your work and that of others for quality, accuracy and relevance. Know how and when to use tools available for a given situation and can explain the reasons for this choice. Seek and embrace opportunities which give exposure to different situations, environments and perspectives. Use straightforward communication, in a structured way, when influencing and connecting with others. Able to read situations and modify behavior to build quality relationships. Uphold the firm's code of ethics and business conduct. Job Requirements and Preferences: Basic Qualifications: Minimum Degree Required: Bachelor Degree Minimum Years of Experience: 4 year(s) Preferred Qualifications: Certification(s) Preferred: Certification in one of the following cloud platforms- AWS/Azure/GCP Preferred Knowledge/Skills: Demonstrates thorough abilities and/or success in one or many of the following areas: Demonstrating an expertise in developing and implementing data or analytics-driven strategies to drive business growth and optimize decision-making; Defining data management and data/analytics governance strategy and align data initiatives with organizational goals; Conducting data/analytics strategy refresh on a regular basis and managing overall data strategy program success; Delivering strategy and transformation projects; Understanding and experience with modern cloud data architectures and engineering for one or more of the following cloud providers- AWS, Azure, GCP; Implementing cloud data architecture and data integration patterns for one or more of the cloud providers (AWS Glue, Azure Data Factory, Event Hub, Databricks, etc.), storage and processing (Redshift, Azure Synapse, BigQuery, Snowflake); Infrastructure as code (CloudFormation, Terraform); Understanding and thorough knowledge of Data Warehousing concepts (normalization, OLAP, OLTP, Vault data model, graphs, star & snowflake schemas); Applying knowledge and work experience in Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL/ELT pipeline development (tools: IICS/AWS Glue/SAP BODS/Matillion/DBT/Abinitio/SSIS/SnapLogic); preferable in P&C/L&A Insurance data warehouse; Developing file and object-based storage solutions using Azure ADLS 2.0 or AWS S3; Applying knowledge in SQL, report generation using visualization tools such as Tableau/Power BI/Cognos, programming using Python/Spark; Designing and developing advanced analytics solutions, AI/ML models, and operationalizing based on ML Ops process; Understanding of enterprise data concepts such as Master Data Management Data Governance and Enterprise Data Warehouse; Applying leading practices in supporting high availability, scalable, process and storage intensive solutions architectures to data integration/migration, analytics and insights, AI and ML requirements; Understanding and familiarity of one or more is a big plus- CI/CD, cloud devops, containers (Kubernetes/Docker, etc.); Understanding of insurance data, underlying KPIs and how they are used; and, Demonstrating prior P&C/L&A Insurance industry experience. Demonstrates thorough abilities with, and/or a proven record of success directing efforts in the following areas: Demonstrating prior Big 4 or proven consulting experience in strategy through execution projects; Working closely with business stakeholders to capture and document business objectives/requirements, ability to translate business and technology objectives to next generation cloud, digital and technology solution architectures; Understanding how the application of analytical techniques correlated to business value and being able to select the appropriate analytical techniques for the problem at hand; Willing to learn and apply modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures; Understanding personal and team roles, contributing to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification and feedback; Prioritizing and handling multiple tasks, researching and analyzing pertinent client, industry and technical matters, utilizing problem-solving skills, and communicating cogently in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment; and, Demonstrating leadership experience, including providing coaching, feedback and guidance on work performance. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Analyse and identify the linkages and interactions between the component parts of an entire system. Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. Develop skills outside your comfort zone, and encourage others to do the same. Effectively mentor others. Use the review of work as an opportunity to deepen the expertise of team members. Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Minimum Degree Required Bachelor's Degree Minimum Year(s) of Experience 7 year(s) Demonstrates extensive-level abilities and/or a proven record of success managing the identification and addressing of client needs: Managing development teams in building of AI and GenAI solutions, including but not limited to analytical modeling, prompt engineering, general all-purpose programming (e.g., Python), testing, communication of results, front end and back-end integration, and iterative development with clients Documenting and analyzing business processes for AI and Generative AI opportunities, including gathering of requirements, creation of initial hypotheses, and development of AI/GenAI solution approach Collaborating with client team to understand their business problem and select the appropriate models and approaches for AI/GenAI use cases Designing and solutioning AI/GenAI architectures for clients, specifically for plugin-based solutions (i.e., ChatClient application with plugins) and custom AI/GenAI application builds Managing teams to process unstructured and structured data to be consumed as context for LLMs, including but not limited to embedding of large text corpus, generative development of SQL queries, building connectors to structured databases Managing daily operations of a global data and analytics team on client engagements, review developed models, provide feedback and assist in analysis; Directing data engineers and other data scientists to deliver efficient solutions to meet client requirements; Leading and contributing to development of proof of concepts, pilots, and production use cases for clients while working in cross-functional teams; Facilitating and conducting executive level presentations to showcase GenAI solutions, development progress, and next steps Structuring, write, communicate and facilitate client presentations; and, Managing associates and senior associates through coaching, providing feedback, and guiding work performance. Demonstrates extensive abilities and/or a proven record of success learning and performing in functional and technical capacities, including the following areas: Managing GenAI application development teams including back-end and front-end integrations Using Python (e.g., Pandas, NLTK, Scikit-learn, Keras, etc.), common LLM development frameworks (e.g., Langchain, Semantic Kernel), Relational storage (SQL), Non-relational storage (NoSQL); Experience in analytical techniques such as Machine Learning, Deep Learning and Optimization Vectorization and embedding, prompt engineering, RAG (retrieval, augmented, generation) workflow dev Understanding or hands on experience with Azure, AWS, and / or Google Cloud platforms Experience with Git Version Control, Unit/Integration/End-to-End Testing, CI/CD, release management, etc. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $99,000 - $232,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Industry/Sector Insurance Specialism Data, Analytics & AI Management Level Manager Job Description & Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. You'll focus on aligning client data strategies to their business strategy. You will assist clients in choosing a platform, defining their data needs and migrating them to a modern cloud data environment using cloud providers such as Azure, Google Cloud Platform, Amazon Web Services, Snowflake, Databricks or Teradata. To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future. As a Manager, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: Develop new skills outside of comfort zone. Act to resolve issues which prevent the team working effectively. Coach others, recognise their strengths, and encourage them to take ownership of their personal development. Analyse complex ideas or proposals and build a range of meaningful recommendations. Use multiple sources of information including broader stakeholder views to develop solutions and recommendations. Address sub-standard work or work that does not meet firm's/client's expectations. Use data and insights to inform conclusions and support decision-making. Develop a point of view on key global trends, and how they impact clients. Manage a variety of viewpoints to build consensus and create positive outcomes for all parties. Simplify complex messages, highlighting and summarising key points. Uphold the firm's code of ethics and business conduct. Job Requirements and Preferences: Basic Qualifications: Minimum Degree Required: Bachelor Degree Minimum Years of Experience: 7 year(s) Preferred Qualifications: Certification(s) Preferred: Certification in one of the following cloud platforms- AWS/Azure/GCP/Snowflake Preferred Knowledge/Skills: Demonstrates extensive abilities and/or success in one or more of the following areas: Possessing understanding and experience with modern cloud data architectures and engineering for one or more of the following cloud providers- AWS, Azure, GCP; Being highly organized; Proven track record of implementing cloud data architecture and data integration patterns (AWS Glue, Azure Data Factory, Event Hub, Databricks, etc.), storage and processing (Redshift, Azure Synapse, BigQuery, Snowflake); Infrastructure as code (CloudFormation, Terraform); Possessing extensive knowledge of Data Warehousing concepts (normalization, OLAP, OLTP, Vault data model, graphs, star & snowflake schemas); Possessing work experience in Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL/ELT pipeline development (tools: IICS/AWS Glue/SAP BODS/Matillion/DBT/Abinitio/SSIS/SnapLogic); preferable in P&C Insurance data warehouse; Possessing proven knowledge in SQL, report generation using visualization tools such as Tableau/Power BI/Cognos, programming using Python/Spark; Improving advanced analytics solutions, AI/ML models, and operationalizing based on ML Ops process; Having end-to-end knowledge of implementing enterprise data solutions such as Master Data Management, Data Governance and Enterprise Data Warehouse; Architecting and driving delivery of high availability, scalable, process and storage intensive solutions architectures to data integration/migration, analytics and insights, AI and ML; Understanding and familiarity of one or more is a big plus- CI/CD, cloud devops, containers (Kubernetes/Docker, etc.); and, Possessing P&C Insurance industry experience, including proven understanding of insurance data, underlying KPIs and how they are used. Demonstrates extensive abilities with, and/or a proven record of success directing efforts in the following areas: Demonstrating prior Big 4 or proven consulting experience in strategy through execution projects; Managing and streamlining data warehouse team and lead in creation of cloud data warehouse plans, roadmap, success metrics, and assessment of client's enterprise (on-premise and on-cloud) data systems; Working closely with business stakeholders to capture and document business; objectives/requirements, ability to translate business and technology objectives to next generation cloud, digital and technology solution architectures; Coordinating and providing guidance to technology teams and architects to define and develop technology solutions; Demonstrating critical thinking and problem-solving methods and skills; Supervising teams to create an atmosphere of trust; Seeking diverse views to encourage improvement and innovation; Coaching staff including timely meaningful written and verbal feedback; Building, maintaining and utilizing networks of client relationships and community involvement; Using appropriate facilitation techniques to gain agreement or move others to action; Managing resource requirements, project workflow, budgets, billing and collections; and, Preparing and/or coordinating complex written and verbal materials. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $99,000 - $232,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

At HDR, our employee-owners are fully engaged in creating a welcoming environment where each of us is valued and respected, a place where everyone is empowered to bring their authentic selves and novel ideas to work every day. As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world? Watch Our Story:' https://www.hdrinc.com/our-story ' Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world. In the role of Senior Data Analyst, we'll count on you to: Provide on-site support to the Florida Department of Transportation Central Office Maintain and enhance multimodal transportation asset management systems Enhance data analytics for asset management and traffic monitoring Develop metadata and other documentation for federal reporting and state business needs Enhance extract, transform and load (ETL) operations of roadway and traffic data Enhance manual and/or automated workflows and processes for roadway asset feature extraction Enhance artificial intelligence and machine learning processes utilizing aerial and/or street level imagery for roadway asset feature extraction Enhance integration of roadway asset data into GIS Prepare complex scripts or programs to automate functions within a desktop or web-based GIS environment Support the Department's Digital Asset Management initiative Assist with the development and maintenance of custom tools, GIS extensions and applications Provide project management, administrative, and technical support Assist with quality assurance functions Assist with outreach and training for data awareness, education, collaboration and program capacity building Assist in preparation for and participate in public information meetings and hearings Perform other duties as needed Preferred Qualifications ESRI ArcGIS desktop, ArcGIS Pro, ArcGIS Online (AGOL) experience FME or other ETL tool experience Oracle Spatial or SQL Server Spatial back-end data processing experience Web-based application development Relational database management experience Artificial Intelligence / Machine Learning experience Remote sensing and/or computer vision experience Asset Management experience Data & Cloud Platforms: Snowflake, AWS SCADA /OT Systems: Cygnet, FlowCal, Enertia, Field Data Capture (FDC) tools Knowledge of NIST cybersecurity framework, MITRE ATT&CK, and data governance best practices. Required Qualifications A degree in a closely related field or combination of education and relevant experience A minimum of 5 years experience with data engineering tools and languages such as SQL, Power Query, and Pandas A minimum of 5 years experience with business intelligence tools such as Power BI, Tableau, Plotly, Seaborn, and Matplotlib A minimum of 5 years experience with data science languages such as Python and R Self-motivated, detail-oriented professional, ability to multitask a must Proficiency with MS Office including Word and Outlook Ability to handle confidential information Excellent writing and people skills Strong math and organizational skills Flexibility and ability to prioritize and handle multiple tasks and various managers in a fast-paced environment Excellent verbal and written communication skills including grammar, punctuation, proofreading, spelling and telephone skills An attitude and commitment to being an active participant of our employee-owned culture is a must In-depth knowledge of machine learning algorithms, statistical models, and data analytics Experience leading multiple complex data science projects Experience leading and mentoring junior data scientists Experience setting the strategic direction of data management, data science practices and technology planning What We Believe HDR is our company. Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve. Our Commitment As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day. Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ , People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees.

Job Req ID: 27960 About Supermicro: Supermicro is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide. We are the #5 fastest growing company among the Silicon Valley Top 50 technology firms. Our unprecedented global expansion has provided us with the opportunity to offer a large number of new positions to the technology community. We seek talented, passionate, and committed engineers, technologists, and business leaders to join us. Job Summary: Supermicro seeks an experienced Staff Data Center Electrical Engineer to lead the design and development of high-density data centers for AI, cloud, and hyperscale use. This position will shape Supermicro's electrical standards, OPR, and BOD documentation for new and expanding projects in the U.S. and globally. The engineer will apply expertise across voltage systems, coordinate with mechanical, civil, and controls teams, and work directly with consultants, utilities, and construction partners to deliver efficient, reliable, cost-effective, and compliant data centers. Essential Duties and Responsibilities: Essential Duties and Responsibilities: Oversee electrical design for new and retrofit data centers covering power, grounding, lightning protection, and controls. Create and update global electrical standards, OPRs, and BOD templates for consistency. Prepare and check SLDs, load calculations, power analyses, and arc flash studies. Select equipment including generators, switchgear, transformers, UPS, PDUs, busways, and battery backup or supercapacitors. Work with mechanical, network, and architectural teams on integrated layouts. Manage consultants and vendors to meet specs, codes, and permitting requirements. Support site selection and utility coordination, assessing grid options, redundancy, and costs. Review documents and shop drawings for technical accuracy. Lead electrical engineering during construction and commissioning; oversee testing and issue resolution. Champion energy efficiency and sustainability, adopting advanced monitoring and control tech. Analyze failure modes and resiliency to boost uptime and lower risks. Collaborate with Supermicro and Modular Data Center teams on rack-level and modular power integration. Develop tools and processes for capacity planning and optimization. Document lessons learned and drive continuous improvement in design and delivery. Additional Responsibilities: Serve as SME for electrical design, code interpretation, and equipment selection. Mentor junior engineers and collaborate with multidisciplinary teams. Deliver technical training and support design summits and commissioning reviews. Join vendor qualification, factory testing, and component evaluation. Connect with industry to monitor new technologies in renewable integration, energy storage, and intelligent power distribution. Qualifications: Qualifications Required: Bachelor's in Electrical, Power Engineering, or related field. 12+ years' experience in electrical design for large-scale data centers. Expertise in MV/LV systems: switchgear, transformers, UPS, PDUs, busways, and backup power. Track record managing consultants and vendors from concept to construction. Proficient with power modeling (ETAP, SKM) and CAD/Revit. Knowledge of safety codes, grounding, lightning protection, and short-circuit/coordination analysis. Experience collaborating with mechanical, civil, and network teams. Strong project management and communication; able to lead technical meetings with stakeholders. Willing to travel domestically and internationally (~20%). Preferred Qualifications: Master's in Electrical Engineering PE license High-voltage substation, renewables, and grid interconnection experience Knowledge of OCP, Uptime Institute, ASHRAE TC9.9 for data centers Familiar with power shelves, BBU, supercapacitors, UPS Construction support, commissioning, and system reliability testing experience Global projects and compliance (NEC, IEC, CE) Data-driven; skilled in energy efficiency and power analytics Strong interpersonal skills; effective in fast-paced, cross-functional teams Salary Range $175,000 - $200,000 The salary offered will depend on several factors, including your location, level, education, training, specific skills, years of experience, and comparison to other employees already in this role. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation, such as participation in bonus and equity award programs. EEO Statement Supermicro is an Equal Opportunity Employer and embraces diversity in our employee population. It is the policy of Supermicro to provide equal opportunity to all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or special disabled veteran, marital status, pregnancy, genetic information, or any other legally protected status. Job Segment: Electrical Engineering, Cloud, Construction, Electrical, Data Center, Engineering, Technology