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We're in an unbelievably exciting area of tech and are fundamentally reshaping the data storage industry. Here, you lead with innovative thinking, grow along with us, and join the smartest team in the industry. This type of work-work that changes the world-is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. SHOULD YOU ACCEPT THIS CHALLENGE… From redesigning our customers' experience with our Modern Data platforms and services, to evolving our own internal tools and ways of working, we are taking deliberate steps to invest and innovate in critical areas to delight our customers and outdistance our competitors. Pure Storage is looking for Software Engineers who can help drive this digital transformation and set Pure up for continued growth. WHAT YOU'LL BE DOING... Designing and implementing creative new algorithms and technologies for high-performance, highly scalable, and highly reliable systems (think six 9's); Owning and delivering innovation end-to-end, from concept to shipped product; Analyzing and solving challenging problems through persistence and insight; Working as a team with smart peers who inspire you and who are inspired by you; Making customers really happy, because that's why we do what we do; Learning a ton, whether you know a lot, or nothing about system software. If this describes you, let's talk! You can take a part in changing how the world works with data. WHAT YOU'LL NEED TO BRING TO THIS ROLE... 5+ years experience using C++, Java, Go or related programming languages ( Proven design sensibility and the willingness to work in a collaborative, team oriented environment; Experience in any number of related systems software projects e.g: Distributed systems, Operating systems, Linux Kernel, file systems, Database internals, Hypervisors, Containers, Compiler Optimization, etc.; A BS degree in Computer Science; advanced degrees are a bonus! We are primarily an in-office environment and therefore, you will be expected to work from the Santa Clara, CA office in compliance with Pure's policies, unless you are on PTO, or work travel, or other approved leave. #LI-ONSITE Salary ranges are determined based on role, level and location. For positions open to candidates in multiple geographical locations, the base salary range is reflective of the labor market across the applicable locations. This role may be eligible for incentive pay and/or equity. There is no application deadline and we accept applications on an ongoing basis until the job is filled. The annual base salary range is: $175,000-$350,000 USD WHAT YOU CAN EXPECT FROM US: Pure Innovation: We celebrate those who think critically, like a challenge and aspire to be trailblazers. Pure Growth: We give you the space and support to grow along with us and to contribute to something meaningful. We have been Named Fortune's Best Large Workplaces in the Bay Area, Fortune's Best Workplaces for Millennials and certified as a Great Place to Work! Pure Team: We build each other up and set aside ego for the greater good. And because we understand the value of bringing your full and best self to work, we offer a variety of perks to manage a healthy balance, including flexible time off, wellness resources and company-sponsored team events. Check out purebenefits.com for more information. ACCOMMODATIONS AND ACCESSIBILITY: Candidates with disabilities may request accommodations for all aspects of our hiring process. For more on this, contact us at TA-Ops@purestorage.com if you're invited to an interview. OUR COMMITMENT TO A STRONG AND INCLUSIVE TEAM: We're forging a future where everyone finds their rightful place and where every voice matters. Where uniqueness isn't just accepted but embraced. That's why we are committed to fostering the growth and development of every person, cultivating a sense of community through our Employee Resource Groups and advocating for inclusive leadership. Pure is proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other characteristic legally protected by the laws of the jurisdiction in which you are being considered for hire.

Who We Are Verily is a subsidiary of Alphabet that is using a data-driven approach to change the way people manage their health and the way healthcare is delivered. Launched from Google X in 2015, our purpose is to bring the promise of precision health to everyone, every day. We are focused on generating and activating data from a variety of sources, including clinical, social, behavioral and the real world, to arrive at the best solutions for a person based on a comprehensive view of the evidence. Our unique expertise and capabilities in technology, data science and healthcare enable the entire healthcare ecosystem to drive better health outcomes. Description As a Staff Clinical Informaticist, you will have the opportunity to apply your expertise in informatics and data architecture to solve complex healthcare challenges. Contributes to the process of ingesting, modeling and curating multi-sourced healthcare data. This role will be crucial as Verily advances personalized chronic condition management and develops registries to accelerate real world evidence generation. Responsibilities Transform healthcare data into FHIR-compliant representations, ensuring instantiated resources adhere to the appropriate profiles and internal standards. Design and operationalize data harmonization and enrichment strategies to standardize clinical data from diverse sources, including electronic health records (EHRs), HIEs, and other healthcare information sources. Apply established data standards (e.g., HL7 v2, CCDA, FHIR, ICD-10, SNOMED CT, LOINC) to ensure data consistency and interoperability. Implement data quality rules and processes to ensure data accuracy. Develop clear and concise documentation that effectively communicates data design requirements to engineering teams and stakeholders with varying levels of technical expertise. Qualifications Minimum Qualifications Bachelor's degree in Computer Science, Mathematics or medical related field and Master's degree in Clinical Informatics. Minimum of 10 years experience working as a clinical informaticist, data architect or data integration engineer in Healthcare or Life Sciences industries. Demonstrated proficiency in healthcare knowledge standards, controlled terminologies (including SNOMED, LOINC, and RxNorm), standard data models (such as FHIR, OMOP, etc), and healthcare interoperability standards like HL7, NCPDP, and CCD-A. Strong skills related to SQL, Python, R, dbt, ETL tooling and Jupyter Notebook. In addition experience with cloud computing platforms and using version control systems (e.g., Git) and collaborative development tools. Preferred Qualifications PhD in Clinical Informatics, MD or PharmD. Previous experience developing informatics solutions to support Oncology patient care or clinical research. Knowledge of clinical practice and research. An understanding of operating procedures and workflows within a hospital or ambulatory setting. General knowledge of Artificial Intelligence (AI) components and techniques. Qualified applicants must not require employer sponsored work authorization now or in the future for employment in the United States. The US base salary range for this full-time position is $162,000 - $230,000 + bonus + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Verily Life Sciences LLC is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Associate 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. Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Apply a learning mindset and take ownership for your own development. Appreciate diverse perspectives, needs, and feelings of others. Adopt habits to sustain high performance and develop your potential. Actively listen, ask questions to check understanding, and clearly express ideas. Seek, reflect, act on, and give feedback. Gather information from a range of sources to analyse facts and discern patterns. Commit to understanding how the business works and building commercial awareness. Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements. Minimum Degree Required Bachelor's Degree Minimum Year(s) of Experience 1 year(s) Demonstrates thorough-level abilities and/or a proven record of success managing the identification and addressing of client needs: Building of GenAI and AI solutions, including but not limited to analytical model development and implementation, 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 GenAI and AI solution approach Collaborating with client team to understand their business problem and select the appropriate analytical models and approaches for AI and 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 Processing 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 Support management of 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; Structuring, write, communicate and facilitate client presentations; and, Directing associates through coaching, providing feedback, and guiding work performance. Demonstrates thorough abilities and/or a proven record of success learning and performing in functional and technical capacities, including the following areas: Managing AI/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: $63,000 - $140,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. 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

Mantis Innovation is a leading facility performance consultant and project delivery engine that delivers smart, sustainable solutions that improve facility performance and unlock operational efficiencies. We serve over 70% of what a building owner/operator spends on their buildings inside and out, including the building envelope, pavements, mechanical systems, lighting, energy procurement, and technology ecosystem. Our company delivers custom outcomes for our clients that reduce operating costs, flatten capital spending, reduce carbon emissions, and drive sustainability ambition. General Purpose: The BMS Technical Solution Sales Executive will drive client growth for our data center facility solutions, specifically related to building automation systems. This role involves identifying and developing building management system (BMS) strategies that improve operational efficiency, sustainability, and energy performance. We are looking for candidates who know about data center facility configurations, not data racking configurations* You will work closely with controls engineers, sales engineers, project managers, and client stakeholders to audit current systems, develop control strategies, build solution proposals, and close project opportunities. This position requires a consultative sales approach focused on understanding building infrastructure challenges and applying best-fit BMS building technologies. Travel is required for on-site evaluations and client engagement. Here's what you'll do: Quickly evaluate existing systems in data centers and commercial/industrial facilities (BMS/controls, electrical, lighting, HVAC, mechanical,) and propose tailored BMS solutions that optimize performance, energy usage, cost of construction, occupant comfort, and probable utility incentive benefits. Conduct site audits and assessments to understand facility needs and identify solution opportunities. Create and revise solution scopes to meet ROI, payback, and performance targets. Present solution strategies and value-based proposals to decision-makers, facility managers, and engineers. Lead and manage the full sales cycle to achieve annual quota from building and managing pipeline to developing opportunities through deal closure, including contract negotiations. Create and maintain a territory-specific sales plan with defined targets and growth strategies. Utilize business and financial knowledge to develop compelling value propositions that align with client goals. Coordinate internal stakeholders in crafting customized deal structures and solution positioning. Qualify inbound and outbound opportunities and manage demand generation efforts. Engage in high-level executive conversations to understand business priorities, financial drivers, and strategic objectives. Navigate complex accounts with multiple sites, global footprints, or high operational complexity. Share best practices across the sales organization and support coaching of fellow sales executives. Collaborate with utility providers and internal teams to qualify projects for available energy incentives and rebates. Drive favorable solution specifications and influence smart building standards with consultants and design engineers. Coordinate with solution engineers and project delivery teams to ensure project feasibility, profitability, and execution success. Develop and maintain strong relationships with key stakeholders including end users, contractors, and engineering firms. Travel for client-facing meetings, site visits, and presentations (estimated 40-50%). Qualifications: 5+ years of complex solution selling experience in building automation, energy efficiency, and critical facility/data center environments. Demonstrated success in developing and closing BMS, automation, or facility performance projects of $5M or more. Experience working with engineers, contractors, and utility incentive programs. Knowledge and experience with OEM building control platforms, automation architecture, and integration strategies. Proficiency with Microsoft Office Suite, Salesforce (or comparable CRM tools) preferred. Skills of the job: Strong knowledge of mechanical and electrical systems, building controls, and integration platforms. Strong consultative selling and client relationship management skills. Ability to translate technical information into compelling business value propositions. Detail-oriented with strong organizational and time-management skills. Confident, coachable, and proactive with a growth mindset. Excellent verbal and written communication skills. Passion for continuous learning and innovation in smart building technologies. $125,000 - $375,000 a year The above salary mentioned is OTE (On-Target Earnings): base salary PLUS commission What else can we offer you? We offer a fantastic lineup of benefits, including Medical, Dental, Vision, FSA, HSA, 401k Matching, Paid Vacation, Paid Sick, Paid Holidays, Paid Parental Leave, Paid Short Term & Long Term Disability, Tuition Reimbursement, and a flexible hybrid work schedule (for office-based employees). Working at Mantis also brings tremendous professional development opportunities that allow you to make a real impact on both the company and your career! Don't meet every single requirement? Studies have shown that women and members of historically marginalized communities are less likely to apply to jobs unless they meet every single qualification. At Mantis we are dedicated to building a diverse, equitable, and inclusive workplace, so if this role has you excited but your past experience doesn't align perfectly with every qualification we encourage you to still apply! Note: Employees are held accountable for all duties of this job. This job description is not intended to be an exhaustive list of all duties, responsibilities, or qualifications associated with the position. Mantis Innovation is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

About the Team The Business Data Science team uses data and analytics to optimize business performance, drive growth, and foster meaningful partnerships, with the goal of ensuring the sustained and impactful expansion of OpenAI's initiatives to maximize the benefits of AGI for all of humanity. We partner with Sales (GTM), Marketing, Partnerships, Support, Finance, Product, and Growth. About the Role As a member of our Business Data Science team, you will help build a data-driven culture around insight generation, decision making, and strategy at OpenAI. This role is focused on driving customer success within our business products (ChatGPT Team, ChatGPT Enterprise, and API). You will work on projects such as identifying opportunities for interventions within a customer lifecycle to drive activation & onboarding, identifying target audiences for new feature launches, and measuring the efficacy of emails, events, and other interventions to drive ongoing engagement with our products. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Embed with our Customer Success organization as a trusted partner, uncovering new ways to drive customer adoption and engagement of our business products. Establish key metrics, run experiments, and perform analysis to help us understand the incrementality of our efforts to drive adoption/engagement. Proactively surface insights and opportunities to drive engagement and growth. Build tools and systems for stakeholders to self-serve routine data and insights freeing up time to work on more leveraged analyses. Become an expert in OpenAI's data and systems. Through partnership with Data Eng, Finance and other business teams, you will self-serve all the underlying data for our business and derive insights from them. Partner with other data scientists across the company to share knowledge and continually synthesizing learnings across the organization You might thrive in this role if you have: At least 7+ years of experience in Data Science roles within dynamic, outcome-driven organizations. Expertise in statistics and causal inference, applied in both experimentation and observational causal inference studies. Proficiency in quantitative programming languages, such as Python and R. Expertise in SQL, with extensive experience extracting large datasets and designing ETL workflows. Experience using business intelligence tools, such as Mode, Tableau, and Looker. Strategic and impact-driven mindset, capable of translating complex business problems into actionable frameworks. Ability to build relationships with diverse stakeholders and cultivate strong partnerships. Strong communication skills, including the ability to bridge technical and non-technical stakeholders and collaborate across various functions to ensure business impact. Ability to craft clear data stories using decks, memos, and dashboards to drive decision-making at every level. Best-in-class attention to detail and unwavering commitment to accuracy. Proven track record in solving problems within Finance, Marketing, Partnerships, Sales, Support, or other GTM areas. . About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Company: Mercer Description: We are seeking a talented individual to join our Government Human Service Consultant (GHSC) - Informatics team at Mercer. This role can be based in Phoenix, Atlanta, DC, or Seattle, and it is a hybrid role with a requirement of working at least three days a week in the office. Medicaid is a government-sponsored health insurance program in the United States designed to provide healthcare coverage to low-income individuals and families. As a consulting firm specializing in Medicaid, Mercer's GHSC team assists state governments in optimizing their Medicaid programs. Our team plays a vital role in managing and analyzing Medicaid claims data to enhance patient access to care, improve cost efficiency, and elevate the quality of services provided to these individuals. As a Government Healthcare Data Consultant, you will have the opportunity to collaborate with experienced programmers, actuaries, and clinicians, contributing to meaningful projects that aim to positively impact the lives of individuals and families in need. Join us in making a difference! We will count on you to: Utilize SAS programming software to interpret, validate and analyze large health care data sets Participate in initial meetings with client or project lead to define the scope of the project and provide insight and expertise including knowledge of the capabilities and flexibility of various approaches Define the data process based on project scope, insight from the project lead and direction from the project's senior actuarial staff Understand the reasons and impacts of data anomalies and exceptions on the analysis, formulate solutions, and communicate to client teams Perform technical peer review for data analysis projects Act as a mentor for junior staff What you need to have: BA/BS or equivalent experience required Minimum 4 years' experience using SAS (desired), SQL, or equivalent programming language Strong analytical and mathematical skills Ability to prioritize and handle multiple tasks in a demanding work environment Strong critical thinking and analytical problem-solving skills What makes you stand out? Experience with Medicaid programs and associated health care data, preferably in a consulting environment Excellent interpersonal skills; strong oral and written communication skills Why join our team: We help you be your best through professional development opportunities, interesting work and supportive leaders. We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities. Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being. Mercer, a business of Marsh McLennan (NYSE: MMC), is a global leader in helping clients realize their investment objectives, shape the future of work and enhance health and retirement outcomes for their people. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit mercer.com, or follow on LinkedIn and X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, veteran status (including protected veterans), or any other characteristic protected by applicable law. If you have a need that requires accommodation, please let us know by contacting reasonableaccommodations@mmc.com. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one "anchor day" per week on which their full team will be together in person. The applicable base salary range for this role is $68,500 to $137,000. The base pay offered will be determined on factors such as experience, skills, training, location, certifications, education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives. We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs as well as employee assistance programs.

Crusoe is building the World's Favorite AI-first Cloud infrastructure company. We're pioneering vertically integrated, purpose-built AI infrastructure solutions trusted by Fortune 500 companies to power their most advanced AI applications. Crusoe is redefining AI cloud infrastructure, with a mission to align the future of computing with the future of the climate. Our AI platform is recognized as the "gold standard" for reliability and performance. Our data centers are optimized for AI workloads and are powered by clean, renewable energy. Be part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that's setting the pace for responsible, transformative cloud infrastructure. About the Role: This role is critical to ensuring industry-leading reliability and uptime for our cloud platform, directly impacting our ability to deliver innovative solutions to our customers. You'll be involved in exciting projects, from supporting the burn-in/stress testing of new hardware to troubleshooting complex server issues and collaborating with vendors. The ideal candidate is a highly skilled and experienced technician with a deep understanding of server hardware, a passion for problem-solving, and a commitment to maintaining peak performance in a fast-paced environment. This is a full-time position. What You'll Be Working On: Troubleshooting & Repair: Diagnose and resolve hardware failures in complex GPU-based servers (both air and liquid-cooled), ensuring minimal downtime. Hardware Testing & Qualification: Collaborate with the Infrastructure Systems team to support burn-in/stress testing of new hardware and resolve any issues that arise. Support the qualification of new hardware. Vendor Management: Open and manage support tickets with hardware vendors, serve as the datacenter liaison for vendor support personnel, and maintain a hardware issue tracker. Inventory Management: Maintain an accurate spares inventory and replenish stock as needed to ensure quick repairs. Deployment Support: Assist the Cloud Deployments team with racking and cabling servers, contributing to the efficient expansion of our infrastructure. Documentation & Communication: Maintain detailed records of hardware issues and resolutions, and communicate effectively with internal teams and vendors. Physical Demands: Work in a physically challenging environment (sound/vibration/thermal) and be able to lift 50 lbs. On-Call Support: Participate in a rotating on-call schedule to address critical after-hours hardware issues. What You'll Bring to the Team: Minimum of 5-7 years of hands-on experience in a data center, hardware support, or equivalent technical environment. Server Hardware Expertise: Possess significant experience diagnosing and repairing complex GPU-based servers (both air and liquid-cooled). Technical Proficiency: Demonstrate a deep understanding of server hardware, BMC-based manageability, BIOS settings, and firmware deployment. Datacenter Experience: Have four or more years of hands-on experience working in a datacenter environment. Networking Knowledge: Familiarity with Infiniband switches and network topology. Linux Skills: Basic Linux system administration expertise. Problem-Solving Abilities: Excellent analytical and problem-solving skills to effectively troubleshoot hardware issues. Communication Skills: Strong organizational, time management, and communication skills. Education: Associates Degree or equivalent experience in an IT-related field. Background Check: Must be able to pass a background check. Safety and Compliance: This position is designated a safety-sensitive position and/or is located in a safety-sensitive facility. Drug and alcohol program participation is required. Bonus Points: Experience with other high-performance computing (HPC) technologies. Relevant certifications (e.g., CompTIA Server+, CCNA). Experience with scripting languages (e.g., Python, Bash). Knowledge of datacenter infrastructure management (DCIM) tools. Experience working in a fast-growing startup environment. Familiarity with various cooling systems used in data centers. Experience with liquid cooling systems. Benefits: Industry competitive pay Restricted Stock Units in a fast growing, well-funded technology company Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents Employer contributions to HSA accounts Paid Parental Leave Paid life insurance, short-term and long-term disability Teladoc 401(k) with a 100% match up to 4% of salary Generous paid time off and holiday schedule Cell phone reimbursement Tuition reimbursement Subscription to the Calm app MetLife Legal Compensation Range Compensation will be paid in the range of up to $110,000 - $150,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

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, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. 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

Job Description: Sr Staff Engineer - Finance Data Specialist GEICO is seeking experienced Finance Data specialists to provide expertise and guidance in supporting the build out of a Finance data lake/warehouse. This individual must have the ability to provide coaching to business teams and technologists by guiding, planning, and partnering at various levels. This specialist will partner with the engineering teams in the establishment of a new Finance Data Warehouse. This role requires strong functional and technical Finance Systems background to partner with the Business and have effective discussions driving the capture, transformation, and utilization of Finance data to meet Business goals. The Senior Staff Engineer, Finance Data Specialist will report to the Senior Manager of Finance Data & Analytics and will provide solutions on how to build out, maintain, and support a Finance Data Warehouse/Lake to support FP&A processing and analytics while also supporting the larger Finance organization's need for Finance data. This role will work with multiple Finance and Technology leaders to set the strategy for building out the company's Finance Data Warehouse/Lake to provide a central repository for all Financial related transactions so it can be a reconciled source of truth for processing and the source for Revenue and Expense analytics. The individual in this role will be a key advisor and partner to the Finance Leadership to redesign the way they use their technologies in managing GEICO's business. The Finance Data Specialist is also accountable to support the delivery of technology solutions that will support FP&A Planning/Budgeting, financial reporting, Revenue/Expense Analytics, and the build out of the Finance Data Warehouse to become a reconciled source to allow the GL to become a "thin" ledger. The ideal candidate has deep Finance Systems experience across multiple companies to support deploying best practices, leveraging their broad and deep knowledge of various ERPs (e.g. Oracle; Workday; SAP or PeopleSoft). Prior Financial Systems experience is required, with a deep understanding of the functional and technical aspects of ERP and Data Warehouse systems. Position Responsibilities As a Senior Staff Engineer, Finance Data Specialist supporting Finance Systems you will: Leverage your deep Functional and Technical systems expertise to drive towards the right solution to support the department and GEICO's current and future needs Engage in cross-functional collaboration throughout the entire software lifecycle Lead design sessions with peers to ensure systems are well designed, efficient, and meet Business expectations Collaborate with Finance Leaders within the FP&A, Controllers, Financial Reporting, and Finance QA & Systems team along with the Data Engineering and Finance Technology leaders to ensure organizational goals are met Have a deep understanding of Finance functions to support the establishment of a vision and technology roadmap to build out a Finance Data Lake/Warehouse Have a good understanding of finance data lake/mart with Data processing/data transformation using ETL/ELT tools such as Informatica, DBT, etc. Experience with designing, developing, implementing, and maintaining solutions for data ingestion and transformation projects Experience working with cloud data solutions (Delta Lake, Iceberg, Hudi, Snowflake, Redshift or equivalent) Support the development of a roadmap and then work towards implementing Revenue and Expense Analytical solutions Work with Business Sponsors to develop project roadmaps which align to business objectives and sequenced by priority and resource availability Support and influence customers and stakeholders, and work through divergent expectations Support the implementation of a strong control and governance framework and maintain it for SOX and Audit reviews Support Business and Technology discussions at various leadership levels to ensure alignment towards long term goals of Finance and Technology Analyze and translate business and functional specifications and change requests into technical specifications Consistently share best practices and improve processes within and across teams Qualifications 20+ years of Finance Systems experience with industry leading ERP solutions (e.g. implementing and supporting PeopleSoft; Oracle EBS; Oracle Cloud; Workday; or SAP) 5+ years of experience in implementing and supporting FP&A applications (Preferred) 5+ years working with or supporting a Finance Data Lake/Warehouse/Mart along with various Financial Reporting tools Solid understanding of Dimensional Data Modeling Strong working knowledge of Data processing/data transformation using ETL/ELT tools such as Informatica, DBT, etc. Strong working knowledge of SQL and the ability to write, debug and optimize SQL queries and ETL jobs 5+ years as a lead or architect supporting Financials via the major vendors (e.g. PeopleSoft; Oracle EBS; Oracle Cloud; Workday; or SAP) Deep Finance domain expertise to be able to work with senior Finance leaders to interpret their process and functional needs into system solutions Strong understanding of FP&A Budgeting, Planning, and Reforecasting processes Experience in implementing or supporting Revenue or Expense analytical solutions via tools such as Power BI, Tableau, etc. Strong understanding of Accounting process and reporting expectations to partner with senior Finance Leaders Ability to communicate and work directly with leaders across Technology and Finance Sound understanding of project management techniques, methodologies, and best practices Strong problem-solving abilities Ability to excel in a fast-paced environment Knowledge and experience with the software development life cycle Ability to work independently and in a team-oriented collaborative environment Education Bachelor's degree in Computer Science, Information Systems, Engineering, Business Administration, or equivalent education or work experience Annual Salary $115,000.00 - $260,000.00 The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations. At this time, GEICO will not sponsor a new applicant for employment authorization for this position. The GEICO Pledge: Great Company: At GEICO, we help our customers through life's twists and turns. Our mission is to protect people when they need it most and we're constantly evolving to stay ahead of their needs. We're an iconic brand that thrives on innovation, exceeding our customers' expectations and enabling our collective success. From day one, you'll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people's lives. Great Careers: We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career - and your potential - in mind. You'll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels. Great Culture: We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose. As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers. Great Rewards: We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future. Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family's overall well-being. Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance. Access to additional benefits like mental healthcare as well as fertility and adoption assistance. Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year. The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled. GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.

Our not-so-secret sauce. Award-winning, inclusive, Top Workplace culture doesn't happen overnight. It's a result of hard work by extraordinary people. More than 11,000 of the industry's brightest talent drive our efforts to deliver purposeful work and meaningful impact every day. Learn more about what makes us different and how you can thrive as a Senior Data Architect at Marsh McLennan Agency (MMA). MMA provides business insurance, employee health & benefits, retirement, and private client insurance solutions to organizations and individuals seeking limitless possibilities. With 200 offices across North America, we combine the personalized service model of a local consultant with the global resources of the world's leading professional services firm, Marsh McLennan (NYSE: MMC). A day in the life. As a Senior Data Architect on the Data team, you'll establish consistent data standards, reference architectures, patterns, and practices across the organization for both OLTP and OLAP (Data warehouse, Data Lake house) MDM and AI/ML technologies. You will define reference data architecture and work with agile teams to ensure the documented best practices are used in data platform development. Additionally, you'll create strategies and design solutions for a wide variety of use cases like Data Migration (end-to-end ETL process), database optimization, and data architectural solutions for Analytics Data Projects. You will also design, develop, and troubleshoot highly complex technical problems in OLAP/OLTP/DW, Analytics, and provide solutions for Enterprise-level Applications utilizing Azure Data Platform. Our future colleague. We'd love to meet you if your professional track record includes these skills: 10+ or more years of experience in Information Technology. 5 to 10 years of experience in Enterprise data architecture, Data, Modelling, Data management and Data strategy 5 to 7 years of experience in Cloud database technologies. 7 to 10 years of experience as a data architect Solid understanding of databases and the strengths and weaknesses of platforms and products, with the ability to provide a trusted voice at the decision-making table Expertise in creating ER (Entity Relationship), Logical, Physical, and Conceptual data models for an enterprise Experience in data modeling, streaming skills, and data architecture for operational and analytical datastores Proficiency in the design of batch and streaming data ingestion Knowledge in designing solutions with Data Quality, Data Lineage, and Data Catalogs Experience with solving performance challenges for a variety of velocities, latencies, and volumes of data Designing and maintaining the data models, including conceptual, logical, and physical data models Experience with SOA data layer utilizing data access frameworks and exposing data via web services Experience with Business Intelligence and data mart architecture Experience creating a data architecture vision between lines of business and IT Demonstrated competency in communicating the value of data architecture to stakeholders and senior management Experience in SDLC processes, database patterns, and development frameworks Strong interpersonal, verbal, and written communication skills, with the ability to develop and conduct executive-level presentations Experience crafting solutions that leverage data in NoSQL and SQL datastores for high availability and disaster tolerance Preferred experience with Kubernetes, Cloud Native ecosystem, and Data Lake/Data Warehouse technologies Deep expertise in Data engineering capabilities involving architecture, modeling (physical and logical), data governance, storage, security, resilience, and replication Knowledge of Informatica - IICS task flows development and maintenance Experience with MongoDB or another NoSQL database, PostgreSQL, or any relational database Experience with Azure, Data Lake, Databricks, SQL, ETL, and MDM Experience with data integration services such as Azure Data Factory Experience with business intelligence tools; Power BI or Qlik is preferred Experience in designing and building large-scale, enterprise systems in a highly available, scalable, performant, and distributed environment These additional qualifications are a plus, but not required to apply: Knowledge of Agency Management systems like Applied EPIC and Vertafore Sagitta, Benefit Point Microsoft Azure Data Engineer or other cloud certifications Data bricks experience and certification We know there are excellent candidates who might not check all of these boxes. Don't be shy. If you're close, we'd be very interested in meeting you. Valuable benefits. We value and respect the impact our colleagues make every day both inside and outside our organization. We've built a culture that promotes colleague well-being through robust benefit programs and resources, encourages professional and personal development, and celebrates opportunities to pursue the projects and causes that give colleagues fulfillment outside of work. Some benefits included in this role are: Generous time off, including personal and volunteering Tuition reimbursement and professional development opportunities Remote work Charitable contribution match programs Stock purchase opportunities To learn more about a career at MMA, check us out online: http://marshmma.com/careers or flip through our recruiting brochure: https://bit.ly/3Qpcjmw Follow us on social media to meet our colleagues and see what makes us tick: https://www.instagram.com/lifeatmma/ https://www.facebook.com/LifeatMMA https://www.linkedin.com/company/marsh-mclennan-agency/ Who you are is who we are. We embrace a culture that celebrates and promotes the many backgrounds, heritages, and perspectives of our colleagues and clients. We are always seeking those with ethics, talent, and ambition who are interested in joining our client-focused teams. Marsh McLennan and its affiliates are EOE Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers. #LI-Remote The applicable base salary range for this role is $113,000 to $197,800. The base pay offered will be determined on factors such as experience, skills, training, location, certifications, education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives. We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs as well as employee assistance programs. Applications will be accepted until: August 25, 2025

Comscore is unable to provide sponsorship for this position, now or in the future. Job Title: Data Analyst Location: Reston, VA or Remote East Coast (Must reside in the USA) About This Role: We're seeking a Data Analyst with strong analytical skills in designing and building data solutions. The Data Analyst will have the opportunity to partner with team members spanning Analytics, Engineering, Sales, and Client Insights to help build a new audience measurement vertical, while also gain exposure to other Comscore product areas: digital, mobile, OTT, and TV. What You'll Do: Query relational databases such as Snowflake, SQL Server to extract, manipulate, and process TB sized datasets Work cross functionally with Analytics, Engineering, Sales, and Client Insights team members to build custom measurement data solutions Own production of key data solutions making sure appropriate data quality assurance (QA) processes are in place Identify process efficiencies and automation opportunities Support the Sales team by providing data domain expertise and feasibility analysis Present data insights and findings to a broad range of technical and non-technical audience What You'll Need: Bachelor's degree in Computer Science, Information Technology, Mathematics or related quantitative field + 2 years' experience as a Data Analyst or similar role Master's degree in Computer Science, Information Technology, Mathematics or related quantitative field is acceptable Fluent in utilizing data analytics stack including SQL, Python, PySpark, Snowflake, SQL Server, and Unix Compensation: $75,000 - $100,000; commensurate with experience Preferred Experience: 1 year of academic or professional experience building scalable web scraping solutions with a solid understanding of HTML, XML, CSS, and XPath 1 year of experience with Comscore's offerings and research methods, or comparable analytics experience 1 year of experience leading analytical projects with minimal supervision About Comscore At Comscore, we're pioneering the future of cross-platform media measurement, arming organizations with the insights they need to make decisions with confidence. Central to this aim are our people who work together to simplify the complex on behalf of our clients & partners. Though our roles and skills are varied, we're united by our commitment to five underlying values: Integrity, Velocity, Accountability, Teamwork, and Servant Leadership. If you're motivated by big challenges and interested in helping some of the largest and most important media properties and brands navigate the future of media, we'd love to hear from you. Comscore (NASDAQ: SCOR) is a trusted partner for planning, transacting and evaluating media across platforms. With a data footprint that combines digital, linear TV, over-the-top and theatrical viewership intelligence with advanced audience insights, Comscore allows media buyers and sellers to quantify their multiscreen behavior and make business decisions with confidence. A proven leader in measuring digital and set-top box audiences and advertising at scale, Comscore is the industry's emerging, third-party source for reliable and comprehensive cross-platform measurement. To learn more about Comscore, please visit Comscore.com. EEO Statement: We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, disability status, sexual orientation, gender identity, age, protected veteran status or any other characteristic protected by law. To comply with federal law, Comscore participates in E-Verify. Successful candidates must pass the E-Verify process after hire. #LI-DB1

Industry/Sector Technology Specialism Data, Analytics & AI Management Level Senior Manager Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Craft and convey clear, impactful and engaging messages that tell a holistic story. Apply systems thinking to identify underlying problems and/or opportunities. Validate outcomes with clients, share alternative perspectives, and act on client feedback. Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations. Deepen and evolve your expertise with a focus on staying relevant. Initiate open and honest coaching conversations at all levels. Make difficult decisions and take action to resolve issues hindering team effectiveness. Model 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 8 year(s) Certification(s) Required GCP Professional Cloud Architect, GCP Data Engineer QuickBase App Builder Certification and/ or QuickBase Expert Builder Certification Preferred Qualifications Certification(s) Preferred Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate Preferred Knowledge/Skills Demonstrates in-depth abilities and/or success in one or many of the following areas: Designing and implementing comprehensive data architecture strategies that meet current and future business needs using Google Cloud services; Developing and documenting data models, data flow diagrams, and data architecture guidelines; Assessing that data architecture is compliant with data governance and data security policies; Collaborating with business stakeholders to understand their data requirements and translate them into technical solutions leveraging Google Cloud and Google eco-system solutions; Evaluating and recommending new data technologies and tools to enhance data architecture; Evaluating data and technology architecture options and build case for change across architecture principles like Security, Reliability, Scalability, Maintainability, Automation and Cost management; Developing leading practices and perspectives for Data Engineering, Data Science, and Data Governance and Data Management; Leading the implementation of GCP based solutions, ensuring they meet the specified requirements and best practices across batch, real-time, structured, semi-structured and unstructured datasets; Architecting, designing, building and optimizing ETL/ELT pipelines for data ingestion, processing, and storage; Developing and deploying scalable data storage solutions using GCP services; Architecting, designing, and implementing scalable data pipelines and workflows using GCP tools like Dataflow, Dataprep, Data Fusion, BigQuery, and Cloud Composer, ensuring robust data integration, transformation, and analytics capabilities with advanced BI platforms such as Looker and/ or Tableau; Designing, implementing, and managing workflows using low-code/no-code platforms like Quickbase and /or Pega to streamline processes, integrate with enterprise systems, and build scalable, automation-driven applications; Architecting, designing and implementing data warehouses and data lakes, ensuring data is organized and accessible; Developing frameworks for monitoring and troubleshooting data pipelines, data warehouses and workflows to ensure data quality, system reliability, performance and cost management; Architecting and overseeing implementation of IAM roles and policies to manage access and permissions within GCP; Developing automation strategies leveraging Terraform for infrastructure as code (IaC) deployments; Architecting and implementing services using GCP DevOps services to build and deploy DevOps pipelines; Developing data security industry standard practices using GCP; Optimizing Cloud resources for cost, performance, and scalability; Demonstrating strong proficiency in SQL and experience with relational databases; Familiarity with big data technologies like Hadoop, Spark, or Kafka is a plus; Experience with machine learning and data science workflows is a plus; Knowledge of data governance and data security industry practices; Possessing strong analytical, problem-solving, and communication skill; and, Working independently and as part of a team in a fast-paced environment. Demonstrates in-depth level abilities with, and/or a proven record of success directing efforts in the following areas: Applying modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures; Collaborating and contributing as a team member: 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 effectively in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment; Research emerging trends, analyzing publications, and adopting modern technologies in solution architectures; and, Coaching and collaborating with associates who assist with this work, 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: $124,000 - $280,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. 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 Associate 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. Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Apply a learning mindset and take ownership for your own development. Appreciate diverse perspectives, needs, and feelings of others. Adopt habits to sustain high performance and develop your potential. Actively listen, ask questions to check understanding, and clearly express ideas. Seek, reflect, act on, and give feedback. Gather information from a range of sources to analyse facts and discern patterns. Commit to understanding how the business works and building commercial awareness. Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements. Minimum Degree Required Bachelor's Degree Minimum Year(s) of Experience 1 year(s) Demonstrates thorough-level abilities and/or a proven record of success managing the identification and addressing of client needs: Building of GenAI and AI solutions, including but not limited to analytical model development and implementation, 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 GenAI and AI solution approach Collaborating with client team to understand their business problem and select the appropriate analytical models and approaches for AI and 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 Processing 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 Support management of 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; Structuring, write, communicate and facilitate client presentations; and, Directing associates through coaching, providing feedback, and guiding work performance. Demonstrates thorough abilities and/or a proven record of success learning and performing in functional and technical capacities, including the following areas: Managing AI/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: $63,000 - $140,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. 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

This is a U.S. based position. All of the programs we support require U.S. citizenship to be eligible for employment. All work must be conducted within the continental U.S. Who we are: Raft ( https://TeamRaft.com ) is a customer-obsessed non-traditional small business with a purposeful focus on Distributed Data Systems, Platforms at Scale, and Complex Application Development, with headquarters in McLean, VA. Our range of clients includes innovative federal and public agencies leveraging design thinking, cutting-edge tech stack, and cloud-native ecosystem. We build digital solutions that impact the lives of millions of Americans. About the role:  As a Data Engineer , you will implement technology solutions across Analytics, Big Data, and Cloud platforms while researching industry trends and evaluating them for business fit. Your role involves partnering with R&D IT teams to provide technology recommendations that result in enterprise solutions solving critical business problems. You will design and document multi-platform architecture focused on performance, scalability, and security. You'll architect reliable data platforms, provide standard interfaces for analytics on large security-related datasets, and lead innovation by implementing data-centric technologies. You'll work with Big Data Technologies such as Hadoop/HBase, Cassandra, and BigTable while managing ETL processes and performing system administration and performance tuning. This role is contingent on contract award. What we are looking for: Associate: Bachelor's degree with 0-4 years of experience or Master's degree with 0-2 years of experience. Works on assignments requiring judgment and initiative under supervision. Develops solutions to technical problems of limited to moderate scope following established procedures. Standard: Bachelor's degree with 5-10 years of experience or Master's degree with 3-8 years of experience. Works independently providing technical solutions to complex problems with considerable latitude in approaches. Senior: Bachelor's degree with 10+ years of experience or Master's degree with 8+ years of experience. Recognized authority providing innovative solutions to complex technical problems and leading advanced development efforts. Experience with Big Data technologies (Hadoop, HBase, Cassandra, BigTable), ETL processes, data platform architecture, cloud computing infrastructure (AWS), programming languages (Java, Python), and distributed systems design. Highly preferred: Open source project contributions. Experience with distributed RDBMS (Teradata, Greenplum, Vertica). Strong programming background and large-scale system design experience. Clearance Requirements: Active Top Secret with ability to obtain and maintain SCI  Work Type: Onsite in Colorado Springs, CO May require up to 10% travel Salary Range : $130,000 - $190,000 The determination of compensation is predicated upon a candidate's comprehensive experience, demonstrated skill, and proven abilities What we will offer you: Highly competitive salary Fully covered healthcare, dental, and vision coverage 401(k) and company match Take as you need PTO + 11 paid holidays Education & training benefits Generous Referral Bonuses And More! Our Vision Statement:  We bridge the gap between humans and data through radical transparency and our obsession with the mission.  Our Customer Obsession:   We will approach every deliverable like it's a product. We will adopt a customer-obsessed mentality. As we grow, and our footprint becomes larger, teams and employees will treat each other not only as teammates but customers. We must live the customer-obsessed mindset, always. This will help us scale and it will translate to the interactions that our Rafters have with their clients and other product teams that they integrate with. Our culture will enable our success and set us apart from other companies. How do we get there?   Public-sector modernization is critical for us to live in a better world. We, at Raft, want to innovate and solve complex problems. And, if we are successful, our generation and the ones that follow us will live in a delightful, efficient, and accessible world where out-of-box thinking, and collaboration is a norm.  Raft’s core philosophy is  Ubuntu: I Am, Because We are . We support our  “nadi”  by elevating the other Rafters. We work as a hyper collaborative team where each team member brings a unique perspective, adding value that did not exist before. People make Raft special. We celebrate each other and our cognitive and cultural diversity. We are devoted to our practice of innovation and collaboration.  We’re an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars. DATA & CONTROL SYSTEMS TECHNICIAN The data & control systems technician will support the build-up and maintenance of our data and control systems. These systems comprise various data acquisition and control hardware, wiring, interface harnesses, and a wide range of instrumentation. The goal of the data & control systems team is to meet various test requirements to achieve safe, economical, and reliable access to space.  RESPONSIBILITIES : Install and terminate wiring to pad instrumentation and data acquisition systems Install connectors, connector pins, terminals, and lugs Perform continuity checks, locate and correct wiring errors using measuring instruments such as ohmmeters and voltage calibrators Perform work in support of fellow technicians and engineering employees using shop assembly equipment and hand tools Collaborate with design engineers to troubleshoot failures and issues derived from test data Write, create, and organize work planning documents and instructions Generate purchase orders from vendor quotes Lead complex and mentally taxing projects with little to no oversight Install and modify electrical conveyances, including but not limited to conduit and cable tray Install cable and cable assemblies Build intricate and complex cable assemblies using Mil-C connectors and contacts Troubleshoot AC power distribution equipment up to 480VAC Build and terminate AC power equipment up to 480VAC Build, terminate, troubleshoot, and maintain PLC-based manufacturing hardware Fabricate support structures, enclosures, and conveyances for electrical distribution equipment  BASIC QUALIFICATIONS: High school diploma or equivalency certificate 1+ years of professional experience working with the following instrumentation: transducers, accelerometers, or thermocouples  PREFERRED SKILLS AND EXPERIENCE: Associate degree in aerospace technology or another technical field 2+ years of professional, hands-on experience working with launch site instrumentation Experience with ISO 9000, IPC-620, and ICP-610 standards Quality inspection experience with harnessing and cables Understanding of basic direct current electrical theory Experience helping to develop and document procedures Basic knowledge of Microsoft Office (Excel, Word, Outlook) Ability to design and fabricate simple electrical circuits PLC and DAQ programming experience Experience with NI Max and Studio 5000 Proficient with the use of power tools (e.g., hand drills, grinders, band saws, vacuums, and impact drivers) Proficient with use of hand tools (e.g. wire strippers, screw drivers, brooms, flush cuts, and wrenches)  ADDITIONAL REQUIREMENTS: General physical fitness is required for some work areas, hardware is typically built in tight quarters, and physical dexterity is required Ability to lift heavy objects up to 25 lbs unassisted Ability to work at elevated heights Ability to work in extreme environments – heat, cold, rain, fumes, odors, and noise Willing to work extended hours and weekends, as needed ITAR REQUIREMENTS: To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here .   SpaceX is an Equal Opportunity Employer; employment with SpaceX is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status. Applicants wishing to view a copy of SpaceX’s Affirmative Action Plan for veterans and individuals with disabilities, or applicants requiring reasonable accommodation to the application/interview process should reach out to  EEOCompliance@spacex.com . 

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars. DATA ENGINEER (STARLINK) At SpaceX, we’re leveraging our experience in building rockets and spacecraft to deploy Starlink, the world’s most advanced broadband internet system. Starlink is the world’s largest satellite constellation and is providing fast, reliable internet to 6M+ users worldwide. We design, build, test, and operate all parts of the system – thousands of satellites, consumer receivers that allow users to connect within minutes of unboxing, and the software that brings it all together. We’ve only begun to scratch the surface of Starlink’s potential global impact and are looking for best-in-class engineers to help maximize Starlink’s utility for communities and businesses around the globe. As a Data Engineer, you will be responsible for developing the strategy, key metrics, tools, software services, and processes for assessing how well key aspects of Starlink are scaling and how effective the Starlink Network is itself, in serving millions of users around the globe. You will work with operators, subsystem responsible engineers, software engineers, and network engineers inside the Starlink organization as well as key contacts with various major external partners to help ensure the growth of this program. RESPONSIBILITIES: Build and maintain mission-critical infrastructure, tools, processes, and custom software to objectively assess growth areas for the Starlink program Automate the aggregation of metrics and detection of widespread application issues across Starlink Establish and maintain relationships with key third-party application/content owners Lead technical investigations about chronic application-level issues Build ground-based software systems that ingest, transform, and store data Apply data analytics, models, and techniques to data products created by space vehicles Create catalogs of data and tools that can be used by you and other teams to perform analytics Fuse data from multiple sources to create usable information BASIC QUALIFICATIONS: Bachelor’s degree in computer science, data science, physics, mathematics, or a STEM discipline 1+ years of professional data/software engineering experience (internship experience is applicable) Development experience in an object-oriented programming language (i.e. C, C++, Python) PREFERRED SKILLS AND EXPERIENCE: Professional experience in analytics, data science, or machine learning Experience using Spark, Presto, Flink, or Snowflake Experience building solutions with Parquet, or similar storage formats Knowledge of Kubernetes Experience building solutions with in-stream data processing of structured and semi-structured data Experience building predictive models and machine learning pipelines (clustering analysis, prediction, anomaly detection) Experience in custom ETL design, implementation, and maintenance Experience handling large (TB+) datasets Experience with developing and deploying tools used for data analysis Ability to work effectively in a dynamic environment that includes working with changing needs and requirements Ability to take on projects that require taking initiative and developing new expertise ADDITIONAL REQUIREMENTS: Must be willing to work extended hours and weekends as needed COMPENSATION AND BENEFITS: Pay range: Data Engineer/Engineer I: $122,500.00 - $145,000.00/per year Data Engineer/Engineer II: $140,000.00 - $170,000.00/per year Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. Base salary is just one part of your total rewards package at SpaceX. You may also be eligible for long-term incentives, in the form of company stock, stock options, or long-term cash awards, as well as potential discretionary bonuses and the ability to purchase additional stock at a discount through an Employee Stock Purchase Plan. You will also receive access to comprehensive medical, vision, and dental coverage, access to a 401(k)- retirement plan, short & long-term disability insurance, life insurance, paid parental leave, and various other discounts and perks. You may also accrue 3 weeks of paid vacation & will be eligible for 10 or more paid holidays per year. Exempt employees are eligible for 5 days of sick leave per year. ITAR REQUIREMENTS: To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here .   SpaceX is an Equal Opportunity Employer; employment with SpaceX is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status. Applicants wishing to view a copy of SpaceX’s Affirmative Action Plan for veterans and individuals with disabilities, or applicants requiring reasonable accommodation to the application/interview process should reach out to  EEOCompliance@spacex.com . 

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars. FULL STACK PROPULSION SOFTWARE ENGINEER, DATA ANALYSIS (RAPTOR)  The Raptor Systems Modeling and Control Team is responsible for the power-balance, optimal control, and calibration of one of the worlds most prolific and advanced rocket engines. In addition to this we aid in root cause analysis for anomaly resolution, providing data and model driven insights supporting operations and components teams in high-consequence decision making. Our tools and analysis are relied upon day-in-and-day-out to evaluate the safety and optimality of flight trajectories. With hundreds of engines, hundreds of simulations, and hundreds of hotfire operations, the work we do impacts both the engine design process and operation of every single mission and engine test. In this role you will work with brilliant, passionate engineers to develop rapid, seamless processes to translate engine test data into accurate predictions of future performance for the most reliable and cutting-edge rocket engines in the world. RESPONSIBILITIES Develop well-architected highly reliable and available web applications and data pipelines that are used to clean, curate, explore, and understand raptor engine performance data across hundreds of units and operations Participate in and lead architecture, design, and code reviews. Frontend application development: deliver well-tested, easy-to-use, and maintainable JavaScript/TypeScript, HTML, and CSS code from the ground up Backend development: deliver well-tested, performant, and maintainable Python, C#/.NET and Java code from the ground up Develop tools to aid in mission planning and design and vet proposed mission profiles against engine history and design to maximize performance and reliability Develop data trending and analysis portals to make sense of the rich engine performance dataset, present that data to the broader raptor engineering community in a comprehensible and explorable way to enact improvements to manufacturing and engine hardware design Assist with anomaly resolution and work directly with engineers of every raptor sub-component to develop tools to improve time-to-insight Collaborate with engineers across the company to extend and improve interoperability among existing tools BASIC QUALIFICATIONS  Bachelor's degree in computer science, engineering, or a STEM discipline OR 3+ years of professional experience building full-stack software in lieu of a degree 1+ years of experience building full-stack software  PREFERRED SKILLS AND EXPERIENCE 2+ years of full stack web development experience Data driven analysis of complex systems Experience with data management, analysis, and presentation techniques Programming experience in Python, C#, .NET, Go, Scala, Java, or similar object-oriented language Frontend experience in Angular, React, or a similar JavaScript framework Production experience with infrastructure tools such as Docker and Kubernetes Experience with version control, continuous integration, and continuous delivery systems COMPENSATION AND BENEFITS:          Pay range:     Level I: $120,000.00 - $145,000.00/per year     Level II: $140,000.00 - $170,000.00/per year     Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. Base salary is just one part of your total rewards package at SpaceX. You may also be eligible for long-term incentives, in the form of company stock, stock options, or long-term cash awards, as well as potential discretionary bonuses and the ability to purchase additional stock at a discount through an Employee Stock Purchase Plan. You will also receive access to comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short and long-term disability insurance, life insurance, paid parental leave, and various other discounts and perks. You may also accrue 3 weeks of paid vacation and will be eligible for 10 or more paid holidays per year. ITAR REQUIREMENTS: To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here .   SpaceX is an Equal Opportunity Employer; employment with SpaceX is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status. Applicants wishing to view a copy of SpaceX’s Affirmative Action Plan for veterans and individuals with disabilities, or applicants requiring reasonable accommodation to the application/interview process should reach out to  EEOCompliance@spacex.com . 

Company Description Govini transforms Defense Acquisition from an outdated manual process to a software-driven strategic advantage for the United States. Our flagship product, Ark, supports Supply Chain, Science and Technology, Production, Sustainment, and Modernization teams with AI-enabled Applications and best-in-class data to more rapidly imagine, develop, and field the capabilities we need. Today, the national security community and every branch of the military rely on Govini to enable faster and more informed Acquisition decisions. Job Description We are seeking an inquisitive data scientist to join our team and work with our various datasets to find connections, knowledge, and potential issues in order to help our government clients make more informed decisions. Your role on the Data Science team will be primarily focused on our large datasets, and you will design and implement scalable statistical systems based on your analysis. You will have the opportunity to expand and grow data-driven research across Govini, and lead new areas to apply advanced analytics to drive business results. As part of our team, you must be a data nerd with a strong understanding of the various fundamentals of data science and analysis and know how to bring data to life. In order to do this job well, you must be a highly organized problem-solver and possess excellent oral and written communication skills. You are independent, driven, and motivated to jump in and roll up your sleeves to get the job done. You lead by influence and motivation. You have a passion for great work and nothing less than your best will do. You share our intolerance of mediocrity. You’re uber-smart, challenged by figuring things out and producing simple solutions to complex problems. Knowing there are always multiple answers to a problem, you know how to engage in a constructive dialogue to find the best path forward. You’re scrappy. We like scrappy. We need a creative, out-of-the-box thinker who shares our passion and obsession with quality. This role is a full-time position located out of our office in Pittsburgh, PA. This role may require up to 25% travel Scope of Responsibilities Design experiments, test hypotheses, and build models for advanced data analysis and complex algorithms Apply advanced statistical and predictive modeling techniques to build, maintain, and improve multiple real-time decision systems Make strategic recommendations on data collection, integration, and retention requirements, incorporating business requirements and knowledge of data industry best practices Model and frame business scenarios that are meaningful and which impact critical processes and decisions; transform, standardize, and integrate datasets for client use cases Convert custom, complex and manual client data analysis tasks into repeatable, configurable processes for consistent and scalable use within the Govini SaaS platform Optimize processes for maximum speed, performance, and accuracy; craft clean, testable, and maintainable code Partner with internal Govini business analysts and external client teams to seek out the best solutions regarding data-driven problem solving Participate in end-to-end software development, on an agile team in a scrum process, collaborating closely with fellow software, machine learning, data, and QA engineers Qualifications US Citizenship is Required Required Skills: Bachelor's degree in Computer Science, Computer Engineering, Mathematics, Statistics, or a related field; Master’s or PhD preferred 7 + years of hands-on data science experience 7+ years deriving key insights and KPIs for external and internal customers Regular development experience in Python Prior hands-on experience working with data-driven analytics Proven ability to develop solutions to loosely defined business problems by leveraging pattern detection over large datasets Proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms Experience using machine learning algorithms (e.g., gradient-boosted machines, neural networks) Ability to work independently with little supervision Strong communication and interpersonal skills A burning desire to work in a challenging fast-paced environment Desired Skills: Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship Experience in or exposure to the nuances of a startup or other entrepreneurial environment Experience working on agile/scrum teams Experience building datasets from common database tools using flavors of SQL Expertise with automation and streaming data Experience with major NLP frameworks (spaCy, fasttext, BERT)Familiarity with big data frameworks (e.g., HDFS, Spark) and AWS Familiarity with Git source control management Experience working in a product organization Experience analyzing financial, supply chain/logistics, or intellectual property data We firmly believe that past performance is the best indicator of future performance. If you thrive while building solutions to complex problems, are a self-starter, and are passionate about making an impact in global security, we’re eager to hear from you. Govini is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law.

Company Description Govini transforms Defense Acquisition from an outdated manual process to a software-driven strategic advantage for the United States. Our flagship product, Ark, supports Supply Chain, Science and Technology, Production, Sustainment, and Modernization teams with AI-enabled Applications and best-in-class data to more rapidly imagine, develop, and field the capabilities we need. Today, the national security community and every branch of the military rely on Govini to enable faster and more informed Acquisition decisions. Job Description We are seeking a highly motivated and skilled Data Engineering Manager to join our dynamic team. As a Data Engineering Manager, you will be responsible for leading a team of data engineers in data ingestion, transformation, and the creation of analytics solutions. Your role will be instrumental in driving our data engineering vision and ensuring the successful delivery of high-quality data products and services. In addition to your managerial responsibilities, you must also be willing to jump in and be hands-on when necessary. Your hands-on involvement will play a crucial role in mentoring your team, tackling complex data engineering challenges, and setting a high standard for data quality. If you are passionate about cutting-edge technologies, data quality, and leading a talented team, this role is for you. This is a team member position, working onsite in our Pittsburgh, PA office. This role may require up to 10% travel Scope of Responsibilities Lead and manage a team of data engineers, fostering a collaborative and innovative environment. Provide guidance, mentorship, and support to team members, encouraging their professional growth and development. Coordinate with cross-functional teams to align data engineering efforts with broader organizational goals and user requirements. Develop and articulate a clear data engineering vision that aligns with the company's strategic objectives. Drive the implementation of the data engineering vision, ensuring it is aligned with business priorities and timelines. Oversee the design and development of data pipelines, data models, and data architecture to support analytics and reporting needs. Collaborate with stakeholders to identify and prioritize data engineering projects and initiatives. Allocate resources efficiently and manage project timelines to deliver high-quality solutions on time and within budget. Stay up-to-date with the latest trends, tools, and technologies in the data engineering field. Evaluate and recommend new technologies that can improve data engineering processes and enhance overall efficiency. Develop and implement processes to ensure data quality is built into data pipelines from the outset. Qualifications U.S. Citizenship is required Required Skills: Bachelor's degree in Computer Science, Mathematics, or equivalent experience 7+ years in a technical data engineering role 3+ years of people management Experience implementing streaming data pipelines Experience with various data modeling techniques, such as relational and dimensional Experience with AWS’ Aurora Postgres or MySQL Proficient in SQL, Stored Procedures, Functions Proficient in big data technologies such as Spark, Hadoop, Databricks, Kafka Requires strong analytical ability and attention to detail Desired Skills: Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship Experience in or exposure to the nuances of a startup or other entrepreneurial environment Experience working with Kubernetes Knowledge of design patterns in the Cloud and Building Well Architected Solutions Working knowledge with large (multiple terabytes) amounts of data We firmly believe that past performance is the best indicator of future performance. If you thrive while building solutions to complex problems, are a self-starter, and are passionate about making an impact in global security, we’re eager to hear from you. Govini is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law.