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

Position Summary... What you'll do... Chance to work on financial data for complex problems/challenges. Utilize LLMs/Genai systems and architectures to build and deploy state-of-the-art Genai systems. Our team collaborates closely with Finance teams to enhance financial planning and strategic decision-making through cutting-edge data-driven solutions. We specialize in a range of initiatives which provides actionable insights into trends and patterns and leveraging Generative AI (Genai) to produce concise, insightful summaries that empower decision-makers. By integrating these innovative approaches, we strive to drive efficiency, accuracy, and impactful outcomes in financial operations. About Team: Our team works closely with our US stores and eCommerce business to better serve customers by empowering team members, stores, and merchants with technological innovation. From groceries and entertainment to sporting goods and crafts, Walmart U.S. offers an extensive selection that our customers value, whether they shop online at Walmart.com, through one of our mobile apps, or in-store. Focus areas include customers, stores and employees, in-store service, merchant tools, merchant data science, and search and personalization. What you'll do: Develop data science systems and tools for retail; e-commerce applications: Leverage LLMS to summarize and build large scale applications Establish cross-functional relationships to maintain win-win situation for the corporation Collaborate with various product stake holders and business owners to formulate and productionize a solution. What you'll bring: Master's degree or PHD in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in analytics related field. Must have qualifications... Experience with training and inference of large-scale AI models such as Large Language Models (LLMs), multimodal models, and reasoning models. Knowledge of advanced model optimization techniques, including quantization, pruning, distillation, Low-Rank Adaptation (Lora), and Parameter-Efficient Fine-Tuning (PEFT) for cloud deployment. Solid understanding of LLMs and Genai ecosystems, including GPT, LLaMA, Mistral, Claude, Gemini, AWS Sonnet, and related frameworks/tools. Hands-on experience with RAG (Retrieval-Augmented Generation), AI agent development, and frameworks such as Lang Chain, Langgraph etc., Great to have... Experience with Big Data processing and feature engineering using Spark Experience with training machine learning models through Cloud Services including Google Cloud Platform and Microsoft Azure Hands on experience of designing and training large DL models on GPU farm Behavior qualifications... Problem solver with can-do attitude, not afraid of facing new problems, technical challenges, delivery pressures Ability to clearly define problems, models and constraints from informal and flexible business requirements Form collaborative working environment. Demonstrated ability to manage multiple cross-functional initiatives, balancing competing priorities and deadlines. Comfortable working in ambiguous, rapidly changing environments, with strong problem-solving and adaptability. About Walmart Global Tech Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail. Walmart’s culture is a competitive advantage, and it’s fostered by being together. Working together in person allows us to collaborate, align quickly and innovate with greater speed. We use our campuses to create purposeful connection rooted in deepening understanding and investing in the development of our associates. Our hubs: Walmart is a global company with offices across the United States and around the world. Our global headquarters is in Bentonville, Arkansas, with primary hubs in the San Francisco Bay area and New York/New Jersey. Benefits: Benefits: Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more. Equal Opportunity Employer: Walmart, Inc. is an Equal Opportunity Employer – By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing unique styles, experiences, identities, ideas, and opinions – while being inclusive of all people. The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process. At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices .Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms. For information about benefits and eligibility, see One.Walmart . Bentonville, Arkansas US-10735: The annual salary range for this position is $90,000.00 - $180,000.00 Sunnyvale, California US-04396: The annual salary range for this position is $117,000.00 - $234,000.00Additional compensation includes annual or quarterly performance bonuses.Additional compensation for certain positions may also include : - Stock ㅤ ㅤ ㅤ ㅤ ‎ Minimum Qualifications... Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Option 1- Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field. Option 2- Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field. Option 3 - 5 years' experience in an analytics or related field. Preferred Qualifications... Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications. Data science, machine learning, optimization models, Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture. Primary Location... 2501 Se J St, Ste A, Bentonville, AR 72716-3724, United States of AmericaWalmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

Company Description We are Olsson. We engineer and design solutions that improve the world around us. As a company, we promise to always be responsive, transparent, and focused on results – for our people, our clients, and our company. We’re a people-centric firm, so it’s no surprise our greatest asset is our people. The impact this creates is an environment that encourages our people to grow and be creative with their talents. This approach builds a culture that is uniquely Olsson. It allows us to grow our people as we grow our business. This, in turn, creates a lasting impact on the world around us. Job Description Olsson delivers multidisciplinary design services for some of the world’s most innovative companies. Our U.S. data center projects rank among the largest and most complex engineering efforts today, giving you the chance to shape critical infrastructure that powers global connectivity. We are seeking a skilled Project Manager to join our industry-leading Data Center Project Management team. In this role, you will oversee large, multidiscipline design projects throughout the design and construction phases, ensuring the project adheres to the approved design, specifications, and contractual agreements while promptly resolving issues during construction. You will be responsible for driving the project forward through project closeout, ensuring successful delivery on time, within scope, and on budget. Primary responsibilities include: Stakeholder Liaison: Act as the primary point of contact between the design team, client representatives, contractors, and stakeholders, ensuring clear communication throughout the project lifecycle. Design Adherence: Oversee the implementation of design intent, ensuring project execution aligns with specifications, contract documents, and quality standards. Technical Coordination: Urgently manage the flow of technical documentation (including RFIs, submittals, and design deliverables), reviewing for cross-discipline completeness and constructability. Project Delivery & Risk: Drive project delivery to meet schedule and budget milestones, proactively identifying and mitigating project risks. Issue Resolution: Lead the resolution of technical and site-specific issues, coordinating between design and construction partners to swiftly address unforeseen conditions or conflicts. Quality Assurance: Conduct regular site observations and quality reviews to verify progress, identify deficiencies, and ensure reporting accuracy. Meeting Leadership: Lead and document project coordination meetings to drive decision-making and team alignment. Change Management: Manage the scope modification process, including the review and negotiation of Change Orders and contract adjustments. Project Closeout: Oversee the closeout process, ensuring the accurate maintenance of record documents and final deliverables. Qualifications You are passionate about: Working collaboratively with others. Having ownership in the work you do. Using your talents to positively affect communities. You bring to the team: 4+ years of project experience in the Architecture, Engineering, and Construction industry with increasing responsibility. 2+ years of experience in industry-related project management or construction management; may be concurrent with project experience. Excellent communication, organization, time management, attention to detail, and problem-solving. Knowledge of engineering/design terms, contracts, financials, and operations. Proven ability to meet client expectations through effective project or construction management. Strong decision-making, leadership, organization, and negotiation abilities. Strong conflict management and resolution skills. Proficiency in MS Office, construction management software, and understanding of construction processes/codes #LI-DD1 Additional Information Olsson specializes in engineering and design, client advisory services, planning, field services, and environmental. Improving the world has been our mindset from the very beginning, back when Olsson first opened for business in 1956. And it will be our mindset for years to come. As an Olsson employee, you will: Receive a competitive 401(k) match Be empowered to build your career with tailored development paths Have the possibility for flexible work arrangements Engage in work that has a positive impact on communities Participate in a wellness program promoting balanced lifestyles In addition, full-time employees will receive our traditional benefits package (health care, vision, dental, paid time off, etc.) and the opportunity to participate in a bonus system that rewards performance. Olsson is an Equal Opportunity Employer. We encourage qualified minority, female, veteran, and disabled candidates to apply and be considered for open positions. We do not discriminate against any applicant for employment or any employee because of race, color, religion, national origin, sex, sexual orientation, gender identity, gender, disability, age, military status, or other protected status. Olsson understands the importance of privacy and is committed to protecting job applicants’ personal information. Pursuant to the California Consumer Privacy Act, as amended by the California Privacy Rights Act (collectively, the “CCPA”), this notice explains Olsson’s practices regarding the collection, use, and disclosure of personal information for job applicants residing in California. Please read this Notice carefully to understand our privacy practices. For more information about the types of information we collect and how we use it in connection with your general access and use of our website, please review our general California Privacy Notice here .

At Array Labs, we are building the world’s most advanced radar imaging satellites to produce an accurate, continuously updated 3D map of the Earth, providing governments and commercial organizations with critical insights into the physical world. We design and build our satellites end-to-end, from on-orbit hardware to ground software and data processing, achieving system performance not possible with conventional satellite systems. As Principal Software Engineer for data infrastructure, you will play a crucial role in designing and implementing the systems that process, analyze, and serve our satellite constellation’s data to end-users. You will have the opportunity to shape highly reliable backend infrastructure that handles petabytes of data annually. The position will work closely with frontend engineers, scientists, satellite systems engineers, and the product team. As part of our quickly growing engineering team, you will play a critical role in the design of the world’s most advanced radar satellite constellation—one that will significantly improve humanity’s ability to rapidly and comprehensively understand our changing planet. Responsibilities Design and implement scalable distributed systems for processing and analyzing massive datasets from our satellite constellation. Develop and optimize database schemas and storage solutions for managing petabyte-scale 3D geospatial data. Architect and maintain high-performance APIs and services for efficient geospatial data streaming, querying, and analysis. Lead the design and implementation of mechanisms for handling data ingestion, processing, and delivery pipelines. Implement robust monitoring, logging, and operational systems to ensure reliability and performance of backend services. Work with cross-functional teams to define technical requirements, architect solutions, and drive the backend roadmap in alignment with company goals. Qualifications 6+ years of backend software engineering experience, including 4+ years building distributed systems and scalable APIs. Strong proficiency in backend languages (e.g., Python, C++, Java), experience with cloud platforms (AWS, GCP, Azure) and containerization technologies (e.g. Docker, Kubernetes). Deep understanding of distributed systems and cloud-native development practices. Experience with high-performance computing and optimization of large-scale data processing pipelines. Excellent communicator, with the ability to make high-quality technical decisions in a startup environment. Preferred Skills and Experience Experience building geospatial databases, mapping technologies, and 3D visualizations, including relevant front-end techniques. Familiarity with geospatial, remote sensing, 3D data, and/or digital signal processing techniques (e.g. SAR and optical satellite imagery, OpenStreetMap, LiDAR point clouds). ITAR Requirements To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Equal Opportunity Employer Array Labs is an Equal Opportunity Employer. Employment decisions are made on the basis of merit, competence, and job qualifications and will not be influenced in any manner by gender, color, race, ethnicity, national origin, sexual orientation, religion, age, gender identity, veteran status, disability status, marital status, mental or physical disability or any other legally protected status. $150,000 - $400,000 a year Interview Process We will conduct two virtual interviews followed by an onsite or virtual onsite. The typical process takes 2-4 weeks from start to finish. Hiring and Compensation Strategy Our hiring and compensation strategy is simple: 1) find uncommonly good people 2) pay them uncommonly well You can anticipate competitive pay, with high flexibility between salary and equity-based compensation. Why you should join Array Labs Array Labs is launching a constellation of satellites to create the first high-resolution, real-time, three-dimensional model of Earth. Our next-generation satellite technology will offer image quality 60x greater than traditional techniques, profoundly expanding humanity’s ability to understand and respond to events on a global scale. In forging an affordable, accessible, accurate representation of Earth, our work has the potential to transform the face of dozens of fields, including autonomy, telecommunications, disaster relief, gaming, climate science, defense and construction.

Cybersecurity Data Loss Prevention DLP Analyst Description - As the world around us becomes more connected and digital, there are increased opportunities for fraud and disruption due to cybersecurity attacks. The need for companies, products, and services to be secure is more important than ever in this constantly changing landscape. Are you passionate about keeping good people safe from bad actors? We are too! We are HP Cybersecurity, and we are tasked with the security of the HP enterprise. As HP continues our digital transformation, the work of the cybersecurity professional is never complete and is always interesting. Come be a part of making a difference with us! The HP Cybersecurity Data Loss Prevention Analyst is responsible for supporting the development and management of data loss prevention methods and tools. This role involves configuring and maintaining technologies used to protect HP data. The analyst will monitor data activity, respond to data handling events, and ensure compliance with company policies. The ideal candidate will have experience using data loss prevention tools, a background in cybersecurity, strong analytical skills, and the ability to work collaboratively across different teams. This position is a flexible full-time remote working position with the expectation that the employee will be available when needed to join occasional meetings outside of core working hours. What a Cybersecurity Data Loss Prevention Analyst does at HP: Gathers requirements, proposes solutions, and implements new technologies or configures existing technologies to support changes as various data governance and protection programs mature. Contributes to the continuous improvement and maturation of HP’s Data Loss Prevention tools and methods. Creates and maintains comprehensive documentation for processes. Monitors alerts and investigates possible policy violations or data loss events. Understands company Cybersecurity policies and directs employees to relevant policy language and/or authorized technologies and processes. Assists in preparing training materials and delivering training as needed. Engages with other cybersecurity teams as needed, ensuring smooth hand-offs and fostering strong partnerships. Prepares and presents reports, identifying and communicating risks as required. Monitors industry cybersecurity threats, best practices, regulatory changes, corporate updates, and geopolitical changes impacting security. Advises on improvements to data handling procedures and applies strong governance concepts. Individuals who thrive in this role at HP typically have: Experience configuring, administering, and using Zscaler, Purview, Forcepoint, or similar technologies. 3-5 years of relevant experience developing policy, reviewing data loss event alerts, and/or conducting investigations. Technical Cyber Security Certification through one of the recognized bodies a bonus: SANS, ISACA, (ICS)2, CompTIA. Solid working knowledge of industry frameworks and standards and best practices. Results-driven, strong analytical skills, ability to connect the dots to make better decisions. Fluent in oral and written communications in English. Able to work effectively in a team and with various stakeholders at various organizational levels. Good responsiveness, organizational, and time management skills. Proactive in seeking problem resolution. About the team: The Cybersecurity Data Loss Prevention team is a developing group of cyber security professionals who collaborate with all disciplines within Cybersecurity as well as business and functional stakeholders as trusted advisors to effectively manage cyber security risks to the business. Knowledge & Skills • Data Loss Prevention • Cybersecurity operations• Cybersecurity governance• Cybersecurity policies• Data Analysis• Risk identification• Automation• Issue tracking• Security controls Cross-Org Skills • Effective Communication• Results Orientation• Learning Agility• Digital Fluency• Customer Centricity Disclaimer • This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management. The pay range for this role is $83,000 to $127,800 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience. Benefits: HP offers a comprehensive benefits package for this position, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave ( US benefits overview ) The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law. Job - Data & Information Technology Schedule - Full time Shift - No shift premium (United States of America) Travel - Relocation - Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. For more information, review HP’s EEO Policy or read about your rights as an applicant under the law here: “ Know Your Rights: Workplace Discrimination is Illegal "

Here at Lower , we believe homeownership is the key to building wealth , and we’re making it easier and more accessible than ever. As a mission-driven fintech , we simplify the home-buying process through cutting-edge technology and a seamless customer experience . With tens of billions in funded home loans and top ratings on Trustpilot (4.8), Google (4.9), and Zillow (4.9) , we’re a leader in the industry. But what truly sets us apart? Our people. Join us and be part of something bigger. Job Description: The Engineering Manager will lead and grow a high-impact team of data engineers while remaining hands-on in the codebase. This role blends people leadership, technical execution, and architectural stewardship. The Engineering Manager is responsible for guiding a team of three data engineers, setting technical direction, planning and prioritizing work, and contributing directly through individual contributor efforts. This is an ideal opportunity for a senior engineer or manager who enjoys mentoring others, improving systems, and still spending meaningful time building pipelines, reviewing code, and solving complex data problems. The role plays a critical part in shaping the future of our data platform as we scale, modernize, and deepen our impact across the business. Location: Columbus, OH or Austin, TX required with weekly in-office expectations. Compensation: Compensation for this role varies based on location and experience level. The anticipated base salary ranges are: Columbus, OH: $125,000–$169,000 Austin, TX: $135,000–$185,000 What you'll do: Team Leadership & Management Manage, mentor, and support a team of data engineers, fostering growth, accountability, and strong engineering practices. Plan, prioritize, and groom team work through sprint planning, backlog refinement, and capacity management. Conduct regular 1:1s, provide feedback and coaching, and support career development for team members. Partner with cross-functional leaders to align engineering priorities with business needs. Hands-On Technical Contribution Act as a player-coach by owning and delivering individual contributor work alongside the team. Design, build, and maintain scalable data pipelines using tools such as Snowflake, Fivetran, SQL, Python, and custom API integrations. Review pull requests, enforce coding standards, and ensure high-quality, maintainable, and well-documented code. Troubleshoot and resolve data pipeline issues, performance bottlenecks, and reliability concerns. Architecture & Platform Ownership Own and evolve the data engineering architecture with a focus on scalability, reliability, and simplicity. Identify and reduce technical debt, improve repository structure, and introduce best practices across the codebase. Partner closely with the analyst side of the team to ensure datasets are well-modeled, performant, and analysis-ready. Contribute to tooling, process improvements, and documentation that increase team velocity and data quality. Stakeholder Collaboration Work directly with analyst teammates, product, marketing, and business stakeholders to understand data needs and translate them into technical solutions. Provide technical guidance and context to non-technical partners. Proactively identify opportunities where data engineering can unlock new insights or efficiencies. Who you are: Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience). 6+ years of experience in data engineering, analytics engineering, or related roles. Strong hands-on experience with cloud data warehouses (Snowflake or equivalent). Expert-level SQL skills, including query optimization and analytical data modeling. Strong Python experience for data pipeline development, automation, and orchestration. Experience implementing ELT/ETL workflows using managed tools (e.g., Fivetran) and custom API-based ingestion solutions. Solid understanding of data modeling, pipeline orchestration, and analytics enablement. Experience reviewing code, improving architecture, and managing technical debt. Strong communication skills and ability to balance technical depth with business context. Preferred Experience Prior experience leading or mentoring engineers (formal management experience preferred but not required). Mortgage, real estate, or financial services industry experience is a strong plus. Technical Environment & Stack Programming: Python, SQL, Bash scripting. Cloud: AWS (Lambda, S3, API Gateway, CloudWatch, IAM). Data Warehouse: Snowflake, dimensional modeling, query optimization. ETL/ELT: dbt, pandas, custom Python workflows. DevOps: GitHub Actions, Docker, automated testing. APIs: REST integration, authentication, error handling. Data Formats: JSON, CSV, Parquet, Avro. Version Control: Git, GitHub workflows. What you'll get: Extended benefit offerings including medical/dental/vision, parental leave, life insurance, short- and long-term disability Paid holidays and paid time off 401K with company match Discount on home mortgage refinances or purchase Lower provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

About the Team We are looking for a Director of Data Engineering and Agentic AI Automation to lead the next generation of our finance data infrastructure. As OpenAI expands its Finance operations, we need scalable and trustworthy data systems to match the pace and complexity of our growth. This includes well-modeled, auditable data for revenue recognition, financial reporting, and planning, supported by reliable pipelines that connect ERP, planning, and operational systems. You will lead a group of analytics engineers, data engineers, and AI engineers to build the data pipelines that connect our internal engineering systems with enterprise platforms such as Oracle Fusion ERP. This role will also define the roadmap for agentic AI automation, enabling intelligent workflows, process automation, and AI-driven decision-making across Finance. 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: Build and maintain scalable, auditable data infrastructure that powers accurate financial information, with a focus on revenue recognition, compute attribution, and close automation. Lead and grow teams of analytics engineers, data engineers, and AI engineers to deliver high-impact, intelligent data systems. Guide work across financial close and allocations automation, B2C revenue automation from engineering systems to ERP (including reconciliation with cash and source systems), and other mission-critical financial processes. Design and implement data pipelines connecting ERP, planning, and operational systems, including Oracle Fusion, Anaplan, and Workday. Build and support scalable, audit-proof architecture that enables reliable financial reporting and compliance. Develop data and AI-powered workflows that enhance forecasting accuracy, compliance automation, and operational efficiency. Create and maintain data marts and products that support stakeholders across Revenue, FP&A, Tax, Procurement, Hardware Accounting, and Controller teams. Define and enforce best practices for data modeling, lineage, observability, and reconciliation across finance data domains. Set the technical direction and manage team structure, mentoring engineers and overseeing contractors or system integrators to ensure delivery of high-quality outcomes. Partner with senior leaders across Finance, Engineering, and Infrastructure to align on priorities and integrate new automation capabilities. Ensure data systems are AI-ready and capable of supporting predictive analytics, autonomous agent workflows, and large-scale automation. Own and maintain Tier-1 data pipelines with strict SLA, data quality, and compliance standards. Drive the long-term roadmap for agentic AI enablement to build the foundation for “Finance on OpenAI.” You might thrive in this role if you have: 12+ years in data engineering, with proven experience building and managing enterprise-scale, auditable ETL pipelines and complex datasets Proficiency in SQL and Python, with demonstrated experience in schema design, data modeling, and orchestration frameworks Expertise in distributed data processing technologies such as Apache Spark, Kafka, and cloud-native storage (e.g., S3, ADLS) Deep knowledge of enterprise data architecture, especially within Finance and Supply Chain Familiarity with financial processes (close, allocations, revenue recognition) and supply chain data models (Supply and demand planning, procurement, vendor master), along with experience in ingesting data from internal engineering systems with large volumes of B2C Experience integrating with contract manufacturers and external logistics providers is a strong plus Strong track record of partnering with senior business stakeholders and translating complex requirements into scalable technical solutions About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Job Title: Software Engineer with Data Management ExperienceJob Category: EngineeringTime Type: Full timeMinimum Clearance Required to Start: TS/SCI with PolygraphEmployee Type: RegularPercentage of Travel Required: NoneType of Travel: None* * * The Opportunity: CACI is seeking a Software Engineer with Data Management Experience to be at the forefront of transforming system security evaluation! You will play a crucial role in developing cutting-edge capabilities that automate and streamline security processes, implement continuous monitoring and assessment, and enhance network data gathering across project lifecycles. Join our innovative team and help shape the future of data management and system security! Responsibilities: Develop, maintain, and execute Pig and/or PySpark analytics Review and approve data ingest tickets and merge requests Ensure reliable and accurate data delivery to end users Manage day-to-day operations and troubleshoot data accuracy issues Contribute to the shift from manual to automated security evaluation processes Qualifications: Required: Active TS/SCI clearance with Polygraph 10+ years of experience as a Software Engineer on similar scope and complexity projects Bachelor's degree in Computer Science or related field (or 4 additional years of relevant SWE experience) Strong background in analytics development Proficiency in Pig and PySpark Desired: Experience with patch management and IAVA tracking Programming skills in Python, Java, or Scala Familiarity with NiFi and Ansible Experience working in Agile environments This position is contingent on funding and may not be filled immediately. However, this position is representative of positions within CACI that are consistently available. Individuals who apply may also be considered for other positions at CACI. _________________________________________________________________________ What You Can Expect: A culture of integrity. At CACI, we place character and innovation at the center of everything we do. As a valued team member, you’ll be part of a high-performing group dedicated to our customer’s missions and driven by a higher purpose – to ensure the safety of our nation. An environment of trust. CACI values the unique contributions that every employee brings to our company and our customers - every day. You’ll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality. A focus on continuous growth. Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground — in your career and in our legacy. Your potential is limitless. So is ours. _________________________________________________________________________ Pay Range : There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. The proposed salary range for this position is: $131,800 - $290,000 CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.

Data Product Manager Description - Join the HP Print Software Platform team and be a part of history as we push the industry forward, redefining the state-of-the-art Print Software Platform. It is an exciting time to be at HP as our services and solutions business are growing fast. The Print software organization has grown significantly, and we need to evolve the way we work to keep up. HP is focused on converging multiple cloud stacks and data lakes into a unified scalable platform to serve as a single comprehensive Intelligent platform to meet the needs of HP's printers, PCs and other product lines. Job Summary The Data Product Manager will be responsible for planning, prioritizing, and breaking down data requirements for the Print software platform. This involves working closely with business stakeholders, software and data engineers, data scientists, designers and others in order to understand pain points, develop data strategies and build a successful ecosystem of data products. It'll involve crafting roadmaps that will help build a next-generation data platform for maximum impact across all HP business units. Role includes managing data as an asset, motivating and launching data-driven products that will ensure our customers’ success in creating technology that makes life better for everyone, everywhere. It is a highly visible role being part of a team supporting thousands of software developers, and hundreds of millions of users and devices Responsibilities Facilitate and partner with business and technical leaders to develop value propositions for data science-driven products that help achieve HP’s strategic initiatives across multiple business units. Collaborate with solution product teams to gather the voice of the customer, identify needs & create platform opportunities for data science to inform the delivery of rich, compelling user experiences. Collaborate with data engineers & data analysts to match data sources, data quality needs, and data science technical requirements with desired business outcomes. Develop use cases and roadmaps that build an ecosystem of data products and solutions that drive customer value with strong ROI. Manage the data platform’s end-to-end product and feature lifecycle, from strategic planning ideation to tactical execution implementation and stabilization. Establish source-of-truth data products and dashboards that the entire company can use to answer their own product questions. Manage solution engagement and onboarding, ensuring customer and partner success in using the data platform. Communicate with scrum teams, program teams, management and senior executives about data product strategy, requirements, development and launch. Maintain clear priorities and relentless execution in a dynamic, fast-paced environment. Define and monitor data platform performance metrics against goals. Support data platform design and integration across adjacent platforms in HP. Maintain deep expertise on the solution space, market environment and overall HP business strategies as they relate to data science activities. Education & Experience Recommended Four-year or Graduate Degree in Computer Science, Software Engineering, Information Systems, or any other related discipline or commensurate work experience or demonstrated competence. Typically has 10+ years of work experience, preferably in product management, digital or software product development, or a related field. Knowledge & Skills Agile Methodology Automation Change Management Big Data Management and Analytics Computer Science Continuous Improvement Process JIRA Kanban Principles Lean Manufacturing Milestones (Project Management) New Product Development Process Improvement Product Management Project Engineering Project Management Project Planning Project Schedules Risk Management Scrum (Software Development) Software Development Sprint Planning The pay range for this role is $147,050 to $230,850 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience. Benefits: HP offers a comprehensive benefits package for this position, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave ( US benefits overview ) The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law. Job - Software Schedule - Full time Shift - No shift premium (United States of America) Travel - No Relocation - No Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. For more information, review HP’s EEO Policy or read about your rights as an applicant under the law here: “ Know Your Rights: Workplace Discrimination is Illegal "

We are looking for a seasoned Senior Data Engineer to lead the evolution of our data infrastructure. This is a high-impact role designed for a self-starter who thrives in autonomous environments. You will be responsible for designing, building, and maintaining robust data infrastructure and pipelines that power our decision-making capabilities. The ideal candidate isn't just a builder, but a strategist who can identify bottlenecks, prioritize technical debt alongside new functionality, and communicate the "why" behind their technical choices to the broader team. You’ll play an active role in shaping the future of data at thatgamecompany, evolving and democratizing the usage of our data and underlying infrastructure in support of thoughtful decision making across the studio with high quality data and insights in hand. In this role, you will: Design, develop, and optimize data infrastructure (pipelines, applications, data stores etc) to facilitate data movement, transformation, storage, and delivery across a diverse and growing set of sources and sinks Architect sophisticated data models that ensure high performance, data integrity, and ease of use for downstream consumers Proactively identify opportunities for system improvements, manage your own workflows, and execute projects from conception to deployment with minimal oversight Serve as a bridge between technical and non-technical teams, translating stakeholder needs into tangible data solutions and actionable business insights Partner closely with teams across the organization to understand data requirements, provide technical guidance, and ensure data accessibility Maintain high standards for code quality, workflow efficiency, and data quality, keeping principles like extensibility, scalability, efficiency, etc in mind What we’re looking for: A gamer at heart. Someone who deeply understands and cares about the player experience A problem solver with a curious mind, willing to take initiative and challenge assumptions Comfort with ambiguity and a drive to bring clarity and structure to complex, evolving problems Strong communication skills. You can clearly articulate your solutions and the reasoning behind them Core Qualifications: 5+ years of professional experience in data engineering or a related field Demonstrated success in building efficient, scalable, fault-tolerant data solutions A self-motivated "owner" mentality with a genuine passion for clean data and elegant engineering solutions Experience writing optimized SQL queries for analysis and building custom datasets Experience with cloud data platforms (ideally GCP) and big data tools (e.g., BigQuery, Redshift, Iceberg, Spark, Beam) Deep understanding of data modeling, data quality practices, and cost-efficient storage architecture Hands-on experience working with structured and semi-structured data across relational and NoSQL databases Experience with Git and modern version control workflows Preferred Experience Any of the following would be highly preferred, but most of all, we value engineers who are eager to learn and contribute to the team: Familiar with the Python data ecosystem (e.g., Pandas, Airflow, Flask, Plotly) Experience with the broader GCP ecosystem (Kubernetes, GCS, PubSub, Cloud Functions, etc) Experience with Apache Spark Experience with TypeScript or Golang Experience with CICD or IaC (Terraform) Experience with a data visualization tool like Tableau or Looker Perks: • Paid Time Off, Holidays, and Two Weeks Winter Break • Employees and their dependents get medical, dental, and vision coverage, regardless of their level, tenure, or position within the company. Moreover, these benefits start on the first day of the job—there’s no waiting period before they kick in. • Pet Insurance for those who need it too. • Compassionate leave for employees who needs to take care of their family members • Pre-tax wellness stipend • Pre-tax work from home stipend • Access our savings plan (401K program) with company match • Mental health resources including Headspace membership and Employee Assistance Program (EAP) • Discount portal for everyday goods and services • Employee inclusive and diversity initiatives such as Grow Together • Support for personal professional development Applicants must be authorized to work for any employer in the U.S or Canada. We are unable to sponsor or take over sponsorship of an employment Visa at this time. The salary range for this position is $133,000 USD to $180,000 USD annually, with the opportunity to earn an annual discretionary bonus. This salary range is an estimate, and the actual salary may vary based on the Company’s compensation practices. Employees in this position are eligible to participate in the Company’s standard employee benefit programs, which currently include the following: medical, dental, vision, 401k, and paid time off. #LI-Remote

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Marketing Data Operations Analyst - REMOTE. In this role, you will leverage data to enhance marketing effectiveness through targeted segmentation and database management. You'll collaborate with regional marketing teams to align data strategies with business objectives while ensuring data integrity and compliance with privacy laws. Your contributions will shape the future of our marketing initiatives and drive measurable results across various channels. Accountabilities Apply best practices to uphold high standards of data quality, facilitating precise audience and segmentation reporting and analysis. Lead continuous efforts to improve data quality within the database to maximize marketable audiences and database utilization. Create and develop segmentation models for improved audience targeting. Gather marketer requirements to build effective audience lists for marketing campaigns. Proactively maintain communication with the marketing team to define audience criteria, ensuring alignment with regional priorities. Collaborate with marketers to create and test new audience segments, enhancing database performance. Conduct ongoing sessions with the marketing team to improve understanding and utilize the marketing database effectively. Ensure compliance with privacy laws (e.g. GDPR) for both new and existing data. Collaborate with the Data Operations Team and IT to ensure the marketing database is up-to-date. Support in the processing and management of incoming lead data, ensuring accurate classification. Requirements 5+ years of experience working with large-scale databases focusing on B2C/B2B data. Strong knowledge of marketing data sources, tools, and technologies, including CRM systems and marketing automation platforms. Expertise in data analysis and reporting, with proficiency in SQL or equivalent. Strong attention to detail and an analytical mindset with the ability to turn data into actionable insights. Excellent communication skills to collaborate with cross-functional teams and explain technical concepts to non-technical stakeholders. Problem-solving mindset with attention to detail, capable of working independently and taking initiative. Benefits Comprehensive benefits program aimed at maintaining physical, mental, and financial health. Support for work-life balance and community engagement. Flexible remote working options. Opportunities for professional growth and skill development. Collaborative team environment fostering innovation and problem-solving. Why Apply Through Jobgether? We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Sciforium is an AI infrastructure company developing next-generation multimodal AI models and a proprietary, high-efficiency serving platform. Backed by multi-million-dollar funding and direct sponsorship from AMD with hands-on support from AMD engineers the team is scaling rapidly to build the full stack powering frontier AI models and real-time applications. Role Overview Sciforium is seeking a highly technical and visionary Data Scientist to lead the strategy, creation, and curation of the massive datasets that power our foundation models. We believe that in the era of LLMs, data is the primary competitive advantage. In this role, you will own the end-to-end data lifecycle—from raw web-scale crawling to the fine-grained human-alignment datasets that define model behavior. This position is ideal for a scientist who views data as a high-scale engineering challenge and an analytical puzzle. You will not just "provide" data; you will design the taxonomies, filtering heuristics, and post-training pipelines that ensure our models are world-class in reasoning, safety, and multimodal understanding. Key Responsibilities Foundation Dataset Strategy: Own the end-to-end creation of pre-training datasets for LLMs. This includes defining the mix of web data, code, books, and technical papers to optimize for downstream model performance. Petabyte-Scale Curation: Design and implement sophisticated pipelines for data cleaning, exact/fuzzy deduplication, and high-quality signal extraction from petabytes of raw, unstructured data. Post-Training & Alignment Data: Lead the development of high-quality post-training datasets, including Supervised Fine-Tuning (SFT) instructions, multi-turn dialogues, and preference modeling data (RLHF/DPO). Multimodal Expansion: Drive the acquisition and processing of vision and video data, navigating the complexities of multimodal alignment, video compression, and temporal data consistency. High-Performance Engineering: Develop high-throughput data processing scripts using Python, leveraging multiprocessing and multithreading to handle massive-scale ingestion and transformation without bottlenecks. Data Profiling & Analysis: Conduct deep-dive statistical analysis on training corpora to identify biases, gaps in knowledge, and quality regressions, ensuring the "diet" of the model is mathematically balanced. Synthetic Data Generation: (Added Value) Design pipelines to generate high-reasoning synthetic data to augment gaps in natural datasets, utilizing existing models for data labeling and refinement. Must-Haves 5+ years of industry experience in Data Science or Machine Learning, with a proven track record of building and managing datasets for foundation models. Deep Proficiency in Python: Expert-level skills with a focus on high-performance code, including multiprocessing, multithreading , and efficient memory management for large-scale data tasks. Petabyte-Scale Experience: Demonstrated experience working with petabyte-scale datasets that have been directly used to train production-grade LLMs or Large Vision Models. Dataset Reconstruction: Experience building massive LLM training sets from scratch , including raw web crawls (e.g., Common Crawl) and specialized domain data. Post-Training Expertise: Hands-on experience building datasets for RLHF, DPO, and multi-turn instruction following , including the management of human-labeling workflows and quality gold-sets. Data Tooling: Mastery of data-at-scale frameworks such as Spark, Ray, or high-performance data-loading formats (e.g., WebDataset, Parquet). Nice-to-Haves Computer Vision (CV) Curation: Experience building large-scale image or video datasets from scratch (e.g., LAION-style pipelines). Multimodal Crawling: Familiarity with large-scale crawling of multimodal data and the associated challenges of video processing, codecs, and compression. Taxonomy Design: Experience in designing complex labeling schemas for reasoning, coding, and mathematical benchmarks. Research Background: A Master’s or PhD in a quantitative field with a focus on data-centric AI or information retrieval. Benefits include Medical, dental, and vision insurance 401k plan Daily lunch, snacks, and beverages Flexible time off Competitive salary and equity Equal opportunity Sciforium is 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.

Description Senior Data Engineer CreditAssociates – Plano, TX Job Description CreditAssociates , a very successful and rapidly growing consumer financial services company located near Highway 121 and the Dallas North Tollway in Plano Texas, seeks a Senior Data Engineer to work on our growing Corporate Reporting and Analytics team. Our ideal candidate for this position is someone with a bachelor’s degree in computer science , Business Information Systems or similar. Who You Are: Bachelor's degree in computer science , Business Information Systems or similar . 5 + years in the d ata space or comparable experience. Keen problem-solving abilities and strong attention to detail. Has the i nterpersonal skills necessary to work well with others in teams and collaborative work situations. Passion for building and maintaining data pipelines / workflows . Poss esses a desire and ability to learn new skills/technologies . What You’ll Need: Practical experience with SQL (preferably MySQL, MariaDB, or PostgreSQL) , data modeling/data warehousing, and Python. Practical experience with visualization libraries and tools such as matplotlib, Plotly , Tableau, Power BI, Looker , or Superset . Basic understanding of predictive analytics, statistical modeling, and data mining (theory, algorithms, and application). Curiosity about how things work and tenacity to learn and bring new perspective. Understanding of cloud-based technologies such as AWS, GCP, or Azure. Salesforce and/ or marketing experience is a p referred, but not required . What you’ll work on: Creates and maintains data pipeline architectures to meet continuing needs of stakeholders. Solve novel and complex business problems with high quality maintainable code. Ensures data is prepared for easy visualization and reporting. Data gathering from a variety of sources. Express complex, technical topics to management, peers, and others who may not possess a strong data background. Explain deep or technical topics in easy-to-understand terms. Design, develop and maintain scaled, automated, user-friendly systems, reports, dashboards, and other tools to support our stakeholders' needs. Relentlessly focused on minimizing defects and technical debt. Advocate for leading data practices and make sure that our business users make data driven decisions . Provide high quality documentation. Benefits: Excellent benefits, including Medical, Dental, Vision and company paid Life Insurance Generous 401k plan with aggressive company match Convenient location near Legacy West All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, age, marital status, pregnancy, genetic information, or other legally protected status.

Job Responsibilities and Requirements The Financial Data Analyst will be responsible for collecting, processing, and analyzing data related to our Retirement Services organization. This role requires proficiency in data analysis, accounting principles, and financial reporting to support informed decision-making within our organization. Data Collection and Analysis: Develop reporting methodologies to support business needs Gather and consolidate financial data from multiple sources, including internal systems and external vendors. Conduct comprehensive data analysis to identify trends, anomalies, and insights related to Annuities, Funding Agreements and Investments. Reporting and Compliance: Prepare accurate and timely financial reports for internal stakeholders, clients, and regulatory authorities. Ensure adherence to accounting standards and regulatory requirements while providing transparent and detailed reporting. Assist in audit and compliance activities, providing necessary documentation and explanations to auditors. Ensure adherence to regulatory guidelines, internal controls, and industry best practices. Reconciliation and Validation: Perform regular reconciliations of investment transactions, ensuring consistency and accuracy between various data sources. Validate data to ensure integrity, identify discrepancies, and take corrective actions as needed. Process Improvement: Continuously seek opportunities to enhance data management processes, data accuracy, and accounting practices. Develop and maintain process documentation. Collaborate with cross-functional teams to implement improvements and streamline workflows. Required Knowledge, Skills, Abilities and/or Related Experience Bachelor's degree in Accounting, Finance, Economics, or a related field. Proven experience (2-5 years) in investment data analysis, accounting, or a related financial role. Strong knowledge of accounting principles and financial reporting standards. Proficiency in utilizing a variety of business software applications, including but not limited to Oracle, Clearwater, Microsoft Excel, Microsoft Access, SQL, and Python. Familiarity with investment instruments, asset classes, and portfolio management concepts. Attention to detail and ability to work with complex financial data sets. Excellent analytical, problem-solving, and critical-thinking skills. Strong communication and interpersonal skills for effective collaboration with team members and stakeholders. Ability to adapt to changing priorities, manage multiple tasks, and meet strict deadlines. Preferred Skills: Advanced degree (Master's or MBA) in Finance, Accounting, or a related field. Professional certifications such as CFA, CPA, or CIPM. Experience with investment accounting software and systems. Understanding of risk management principles and practices. Ability to Travel: None The expected hiring range for this position is $71,990.00 - $96,100.00 annually for work performed in the primary location (Philadelphia, PA). This expected hiring range covers only base pay and excludes any other compensation components such as commissions or incentive awards. The successful candidate’s starting base pay will be based on several factors including work location, job-related skills, experience, qualifications, and market conditions. These ranges may be modified in the future. Work location may be flexible if approved by the Company. What We Offer At Reliance Matrix, we believe that fostering an inclusive culture allows us to realize more of our potential. And we can’t do this without our most important asset—you. That is why we offer a competitive pay package and a range of benefits to help team members thrive in their financial, physical, and mental wellbeing. Our Benefits: An annual performance bonus for all team members Generous 401(k) company match that is immediately vested A choice of three medical plans (that include prescription drug coverage) to suit your unique needs. For High Deductible Health Plan enrollees, a company contribution to your Health Savings Account Multiple options for dental and vision coverage Company provided Life & Disability Insurance to ensure financial protection when you need it most Family friendly benefits including Paid Parental Leave & Adoption Assistance Hybrid work arrangements for eligible roles Tuition Reimbursement and Continuing Professional Education Paid Time Off – new hires start with at least 20 days of PTO per year in addition to nine company paid holidays. As you grow with us, your PTO may increase based on your level within the company and years of service. Volunteer days, community partnerships, and Employee Assistance Program Ability to connect with colleagues around the country through our Employee Resource Group program Our Values: Integrity Empowerment Compassion Collaboration Fun EEO Statement Reliance Matrix is an equal opportunity employer. We adhere to a policy of making employment decisions without regard to race, color, religion, sex, national origin, citizenship, age or disability, or any other classification or characteristic protected by federal or state law or regulation. We assure you that your opportunity for employment depends solely on your qualifications. #LI-Hybrid .

Argo Group International Holdings, Inc . and American National, US based specialty P&C companies, (together known as BP&C, Inc.) are wholly owned subsidiaries of Brookfield Wealth Solutions, Ltd. (“BWS”), a New York and Toronto-listed public company. BWS is a leading wealth solutions provider, focused on securing the financial futures of individuals and institutions through a range of wealth protection and retirement services, and tailored capital solutions. Job Description We’re seeking a highly analytical Senior Data Analyst with strong P&C insurance experience to elevate our compliance and data capabilities. You’ll own the end-to-end process of transforming complex policy, claims and financial data into accurate, timely regulatory filings. This role blends Data Analysis, Data Engineering, and Actuarial insight, ideal for someone who thrives on solving data challenges with real business impact. What You’ll Do Interpret regulatory requirements and break them into clear data needs Analyze underwriting, policy, claims, and financial data to ensure completeness, accuracy, and compliance Partner closely with Applications, MGA Operations, Data Analysis, Data Engineering, Compliance, and Underwriting teams to resolve data issues Learn the ins and outs of various data models by collaborating with application experts Design and implement data enrichment solutions Model reference data Build and optimize data pipelines Reconcile data extractions with Annual Statement Support data calls, tax reporting, audits and ad-hoc regulatory requests What We’re Looking For Bachelor’s degree in Data Science, Statistics, Business Analytics, Computer Science, Actuarial Science or a related field. Master’s degree preferred. 5+ years in data analysis within Property & Casualty Insurance industry, with a focus on regulatory compliance reporting. Experience with Insurance Operations and Statutory Accounting, across policy, claims, underwriting, or financial domains. Strong skills in SQL, data engineering, and exploratory data analysis. Actuarial mindset or experience working with Actuarial teams Strong communication skills and the ability to work across technical and business teams Exposure to data calls and regulatory reports like NISS CLSP, NISS AQR, TX ISO CLSP, MCCA Annual Assessment, TRIA and SFAA You thrive in a fast-paced environment and handle shifting priorities like a pro. Nice to Have Experience with Snowflake and Python Associate in Regulation and Compliance Designation Why Join Us Your work will have a direct impact on ensuring we meet industry standards while staying efficient and innovative Opportunity to shape how we handle regulatory compliance reporting for the future Collaborative and supportive environment The base salary range provided below is for hires in those geographic areas only and will be commensurate with candidate experience. Pay ranges for candidates in other locations may differ based on the cost of labor in that location. In addition to base salary, all employees are eligible for an annual bonus based on company and individual performance as well as a generous benefits package. New York City - $136.9k - $163k Chicago - $125.5k - $149.2k Richmond, San Antonio and Omaha - $114.1k - $135.7k PLEASE NOTE: Applicants must be legally authorized to work in the United States. At this time, we are not able to sponsor or assume sponsorship of employment visas. If you have a disability under the Americans with Disabilities Act or similar state or local law and you wish to discuss potential reasonable accommodations related to applying for employment with us, please contact our Benefits Department at 210-321-8400. Notice to Recruitment Agencies: Resumes submitted for this or any other position without prior authorization from Human Resources will be considered unsolicited. BWS and / or its affiliates will not be responsible for any fees associated with unsolicited submissions. We are an Equal Opportunity Employer. We do not discriminate on the basis of age, ancestry, color, gender, gender expression, gender identity, genetic information, marital status, national origin or citizenship (including language use restrictions), denial of family and medical care leave, disability (mental and physical) , including HIV and AIDS, medical condition (including cancer and genetic characteristics), race, religious creed (including religious dress and grooming practices), sex (including pregnancy, child birth, breastfeeding, and medical conditions related to pregnancy, child birth or breastfeeding), sexual orientation, military or veteran status, or other status protected by laws or regulations in the locations where we operate. We do not tolerate discrimination or harassment based on any of these characteristics. The collection of your personal information is subject to our HR Privacy Notice Benefits and Compensation We offer a competitive compensation package, performance-based incentives, and a comprehensive benefits program—including health, dental, vision, 401(k) with company match, paid time off, and professional development opportunities.

If you are a current State of Maine employee, you must complete your application through the internal application process (Find Jobs Report). Please apply using your PRISM account. If you are on Seasonal Leave and do not have access to PRISM, contact your local Human Resources representative for application information. Department of Health and Human Services (DHHS) Public Service Coordinator III Opening Date: January 12, 2026 Closing Date: February 2, 2026 Job Class Code: CA34 Grade: 34 (Confidential) Salary: $84,697.60 – $120,265.60 per year Position Number: 20002-4813 Location: Augusta -Limited period position- Program Overview: The Rural Health Transformation Program (RHTP) is a major statewide initiative administered by DHHS, aiming to build a resilient, integrated rural health system that delivers accessible, high-value care and improved outcomes for all Mainers. The RHTP is a grant opportunity administered by CMS that provides $50B to states to transform rural health. Maine has applied for $1B of funding ($200M/year) across five years to deliver transformative change in rural health across five key initiatives: Population Health, Rural Workforce Development, Innovation, Access & Affordability, and Sustainable Rural Health Ecosystems. Position Summary The Associate Director of Data & Evaluation oversees the design, implementation, and management of RHTP’s data, evaluation framework, and metric and outcomes reporting processes, in partnership with DHHS’s contracted RHTP Evaluation Vendor (TBD). This role ensures that metrics and outcomes across all initiatives are tracked using evidence-based methods consistent with CMS requirements and are compliant with the grant application. This position translates data into actionable insights to inform decision-making, policy development, and program performance. Key Responsibilities: Data Management & Integration Oversee the design and statewide data management and oversight processes for RHTP reporting, integrating inputs from MHDO, HIN, and MaineCare. Direct the work and oversee DHHS’ contracted RHTP Evaluation Vendor (TBD) Ensure interoperability and alignment of RHTP data processes with existing State and CMS reporting platforms. Oversee data collection, cleaning, and validation across subrecipients and initiatives. Develop new and streamlined methods for data collection from RHTP initiatives and activities. Performance Measurement & Evaluation Develop baseline data and performance indicators for all initiatives in accordance with CMS reporting templates. Conduct ongoing analyses to measure program outcomes, trends, and impact on rural health metrics. Lead the creation of dashboards, scorecards, and public data summaries. Program Reporting & Federal Coordination Support preparation of quarterly, annual, and ad hoc reports to CMS, DHHS, and Statewide leadership. Collaborate with CMS evaluators and academic partners on independent or cross-state evaluations. Support the Director in translating data into policy and implementation recommendations. Technical Assistance & Capacity Building Train initiative teams and partners on data collection methods and reporting protocols. Provide technical assistance to ensure consistent data quality across initiatives. Oversee and direct the work of the RHTP Evaluation Vendor. Minimum Qualifications: A 10-year combination of education, training and experience in public health, epidemiology, biostatistics, or related field which includes a minimum of 5 years of experience in data management, program evaluation, or healthcare analytics. Proficiency in statistical and visualization tools (SAS, Power BI, Tableau, R). Preferred Qualifications Knowledge of CMS reporting requirements and State-level health data systems. Experience managing evaluation for large health transformation or Medicaid programs. Thinking about applying? Research shows that people from historically excluded communities tend to apply to jobs only when they check every box in the posting. If you’re currently reading this and hesitating to apply for that reason, we encourage you to go for it! Let us know how your experience and passion set you apart. Agency information: The Department of Health and Human Services (DHHS) is dedicated to promoting health, safety, resilience, and opportunity for Maine people. The Department provides health and social services to approximately a third of the State's population, including children, families, older Mainers, and individuals with disabilities, mental illness, and substance use disorders. The Department also promotes public health, operates two state psychiatric hospitals, and provides oversight to health care providers. Application Information: For additional information about this position, please contact Desirea.Murray@Maine.gov Please submit all documents or files in PDF or Word format. To request a paper application, please contact Mandy.Hernandez@Maine.gov Benefits of working for the State of Maine: No matter where you work across Maine state government, you find employees who embody our state motto—"Dirigo" or "I lead"—as they provide essential services to Mainers every day. We believe in supporting our workforce's health and wellbeing with a valuable total compensation package, including: Work-Life Fit – Rest is essential. Take time for yourself using 13 paid holidays, 12 days of sick leave , and 3+ weeks of vacation leave annually. Vacation leave accrual increases with years of service, and overtime-exempt employees receive personal leave. Health Insurance Coverage – The State of Maine pays 85%-100% of employee-only premiums ($12,845.82 - $15,112.76 annual value), depending on salary. Use this chart to find the premium costs for you and your family, including the percentage of dependent coverage paid by the State. Health Insurance Premium Credit – Participation decreases employee-only premiums by 5%. Visit the Office of Employee Health and Wellness for more information about program requirements . Dental Insurance – The State of Maine pays 100% of employee-only dental premiums ($395.72 annual value). Retirement Plan – The State contributes the equivalent of 18.91% of the employee's pay towards the Maine Public Employees Retirement System (MainePERS). Parental leave is one of the most important benefits for any working parent. All employees who are welcoming a child—including fathers and adoptive parents—receive six weeks of fully paid parental leave . Additional, unpaid leave may also be available, under the Family and Medical Leave Act . State employees are eligible for an extensive and highly competitive benefits package , covering many aspects of wellness. Learn about additional wellness benefits for State employees from the Office of Employee Health and Wellness . Note: Benefits may vary somewhat according to specific collective bargaining agreements and are prorated for anything less than full-time. There's a job and then there's purposeful, transformative work. Our aim is to create a workplace where you can learn, grow, and continuously refine your skills. Applicants demonstrate job requirements in differing ways, and we appreciate that many skills and backgrounds can make people successful in this role. As an Equal Opportunity employer, Maine State Government embraces a culture of respect and awareness. We are committed to creating a strong sense of belonging for all team members, and our process ensures an inclusive environment to applicants of all backgrounds including diverse race, color, sex, sexual orientation or gender identity, physical or mental disability, religion, age, ancestry, national origin, familial status or genetics. If you’re looking for a great next step, and want to feel good about what you do, we’d love to hear from you. Please note reasonable accommodations are provided to qualified individuals with disabilities upon request. . If you are unable to complete the online application, please contact the Human Resources representative listed on the job opening you are interested in applying for. They will work with you for an alternative method of submitting.

Team Profile (Firmwide Data Office) The Firmwide Data Office department is recruiting for an enthusiastic, dynamic, hands-on and delivery focused Ontologist / graph developer for an innovative program that plans to harness the power of Graph & Semantic Technologies to build an Enterprise Knowledge Graph - to solve complex business problems and deliver value to various business divisions. The team vision is a multi-year effort to simplify firm's data architecture and business processes front-to-back with goals of reducing infrastructure and manpower costs, improving the ability to demonstrate control of data, empowering developers by providing consistent means of handling data, facilitate data-driven insights & decision making, and providing a platform to implement future change initiatives faster, cheaper and easier. What You will do in the role: Participate in ontology creation, ontology management and semantic enrichment efforts Work on strategies to leverage ontologies to facilitate natural language processing including fact extraction, document classification and query processing. Devise and implement processes to validate data in a semantic context and develop metrics and procedures for assessing, managing and characterizing datasets. Work with data analysts to design procedures to leverage knowledge graph data in a machine learning space Contribute to data architecture and data management strategy design Promote the creation of semantic data models and SPARQL endpoints to link quality data Work to develop processes and procedures to integrate taxonomies into the knowledge graph environment Participate in collaborating with the Firm's Ontology and Semantic Modeling consortium to develop standards and best practices Collaborate with business and other technology teams to translate business requirements into innovative solutions implementing performant, scalable, resilient distributed applications Work closely with business and technology stakeholders to align development priorities & planning with product and technology roadmap Act as a thought leader in the technical space through researching and knowing industry trends as well as cutting edge tools and technologies What You will bring to the role: Experience and expertise in W3C compliant semantic models experience (RDF, OWL and SPARQL) Experience with relevant ontology development tools and industry standard knowledge graph database tooling 5+ years complex enterprise scale data & metadata architecture experience Demonstrable experience in developing mappings and transformation processes to take data from a relational paradigm into a knowledge environment. Strong problem-solving skills, business acumen, and demonstrated excellent oral and written communication skills with both technical and non-technical audience Desired Skills: Proficient in Python, Java, Jscript or other programming languages Experience in utilizing ontology in developing natural language processing solutions Experience utilizing graph data in a machine learning environment tools Experience in creating data validation processes using SHACL, SPARQL or other rule languages Experience in Financial Services working with various front-to-back business functions like Sales and Trading, Operations, Finance etc. or in an Information Management framework Education: Bachelor's degree in information science, computer science, library science, computational linguistics, mathematics, philosophy or related discipline WHAT YOU CAN EXPECT FROM MORGAN STANLEY: We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices​ into your browser. Expected base pay rates for the role will be between $150,000 to $210,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs. Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees. It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law. Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).

Replies within 24 hours Benefits: 401(k) 401(k) matching Bonus based on performance Company parties Employee discounts Flexible schedule Opportunity for advancement Training & development Wellness resources Job Summary: We are seeking a detail-oriented and analytical Data Analyst to join our dynamic tax team. The successful candidate will play a crucial role in ensuring the accuracy and integrity of tax-related data. The Data Analyst will be responsible for collecting, organizing, and analyzing tax and financial data to support tax preparation and compliance, reporting, and strategic decision-making. Key Responsibilities: Data Collection and Compilation: Gather and compile relevant financial data from various sources, including client forms, internal systems, financial statements, and third-party reports. Ensure the completeness and accuracy of tax-related information. Data Analysis and Interpretation: Conduct thorough analysis of financial data to identify trends, anomalies, and potential tax implications. Tax Compliance: Assist in the preparation of tax returns by providing accurate and well-organized data. Collaborate with tax professionals to ensure compliance with local, state, and federal tax laws. Quality Assurance: Perform regular audits and reviews of tax data to maintain data accuracy and integrity. Implement and maintain data quality controls to minimize errors and discrepancies. Reporting: Generate comprehensive reports summarizing tax-related data analysis for internal stakeholders. Communicate findings and insights in a clear and understandable manner. Process Improvement: Identify opportunities for process improvement in tax data management and implement efficient solutions. Stay informed about changes in tax regulations and adjust data processes accordingly. Qualifications: Obtain IRS PTIN Pass Background check Proven experience in data analysis, preferably in a tax or finance-related role. Proficiency in Microsoft tools and learning new software (e.g., Excel, SQL). Excellent attention to detail and organizational skills. Strong communication and collaboration skills. Ability to work under tight deadlines and manage multiple tasks simultaneously. Willingness to serve people Preferred Qualifications: Professional certification such as CPA or CMA. Familiarity with tax software and ERP systems. Bachelor's degree in Accounting, Finance, or a related field. If you are a highly motivated individual with a passion for data analysis, we encourage you to apply for this rewarding position. Join our team and contribute to the success of our finance department. 3 month seasonal role with opportunity to go full timeP erks: Hourly pay + competitive bonus program Flexible Schedule Options Heath & wellness benefits 401K and other perks Corporate discount program Free tax preparation training and PTIN registration Free continuing tax education Enrolled Agent materials and testing reimbursement Compensation: $16.00 - $18.00 per hour Working at Jackson Hewitt Jackson Hewitt is an innovator with nearly 6,000 locations, and we’re on a mission to change the face of the tax industry. We are an industry-leading provider of full-service individual, federal, and state income tax preparation with offices across the country. Jackson Hewitt is always seeking to improve its financial products, promotions, and partnerships so clients get more. Taxes are fun (really!) Jackson Hewitt is proud to offer free tax training as well as continuing education for tax preparers across the country. With nearly 6,000 locations to choose from, there's likely a Jackson Hewitt location near you, including at your local Walmart store. Tax preparers have flexible scheduling and various rewards too. PTIN Certification: Yes By submitting this form, I hereby acknowledge that most Jackson Hewitt locations are operated by independent franchisees and not Jackson Hewitt or its affiliates. I further acknowledge that franchisees are independent employers and separate companies and employers from Jackson Hewitt Inc., and set their own employment policies and practices. Franchisees are the exclusive employer of their employees and as such are solely responsible for all employment-related matters and decisions in their locations. Specifically, with regard to employees of franchisees, such franchisees, and not Jackson Hewitt, will have exclusive control over all employment-related decisions, including decisions concerning hiring, firing, wages, conditions of employment, discipline, staffing, or any other day-to-day employment issue. Jackson Hewitt Inc. will have no obligation or right to control any franchise employment issue relating to employees of a Jackson Hewitt franchisee. By applying for a job at a franchise-operated location, I understand that the information I provide will be forwarded to the franchisee in order for that organization to reach out to me and process and evaluate my application. I acknowledge that Jackson Hewitt will not receive a copy of my employment application and will have no involvement in any employment decisions regarding me, including whether I receive an interview or whether I am hired to work for the franchisee. I understand that I need to contact the relevant franchisee for information about its privacy practices. Any communications opt-out that I submit in any franchisee’s job application process is specific to that franchisee and will not be communicated to any other entity.

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior 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. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Respond effectively to the diverse perspectives, needs, and feelings of others. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. Use critical thinking to break down complex concepts. Understand the broader objectives of your project or role and how your work fits into the overall strategy. Develop a deeper understanding of the business context and how it is changing. Use reflection to develop self awareness, enhance strengths and address development areas. Interpret data to inform insights and recommendations. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Minimum Degree Required Bachelor's Degree Minimum Year(s) of Experience 4 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-workPwC 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-deadlinesThe salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Data Scientist, Senior The Opportunity: As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors—from fraud detection to cancer research to national intelligence—we need you to help find the answers in the data. On our team, you’ll use your leadership skills and data science expertise to create real-world impact. You’ll work closely with clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You’ll guide teammates and lead the development of algorithms and systems. You’ll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions. Ultimately, you’ll provide a deep understanding of the data, what it all means, and how it can be used. Work with us as we use data science for good. Join us. The world can’t wait. You Have: 8+ years of experience in data science, including performing quantitative analysis, developing visualizations, and processing complex data to create data-driven insights Experience with programming languages, such as Python and SQL Experience leveraging APIs to query systems and migrate data Experience with creating system linkage diagrams to visualize data flows and documenting system schemas Experience with collecting and visualizing critical metrics for systems or programs such as key performance indicators (KPIs) Experience developing dashboards in a data visualization platform such as Grafana, Tableau, or PowerBI Active TS/SCI clearance; willingness to take a polygraph exam Bachelor’s degree Nice If You Have: Possession of excellent written and verbal communication skills to articulate challenging technical concepts to all audiences TS/SCI clearance with a polygraph Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Work Model Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility. If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.