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

Data Specialist Employment Type: Full-Time, Mid-Level Department: Data Science As a Data Specialist for CGS you will help our government client in processing data using LAW. The ideal candidate will regularly load large volumes of production data; running exports from the database for creating discovery party productions. Downloading files from our file sharing tool, JEFS, and performing quality control on load and export files to ensure accuracy is vital to this job position. CGS brings motivated, highly skilled, and creative people together to solve the government's most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success: Modify load files and perform quality control on loaded data quickly and accurately Assist with creating and updating document processing procedures as needed Run multiple load streams simultaneously Perform native file processing in LAW Export data from Relativity to create load files for other various platforms as requested by Case Manager Performs data conversion processing, including conversions of various document types Perform special format data conversions and file manipulation requests Handle quality control on load files and Relativity data loads and exports Perform advanced requests, such as creating data exports for productions and performing quality control on files, and complicated overlays or appends, privilege clawbacks, and sequestration of documents Perform quality control to confirm accuracy on loads completed by new Data Specialists Provide hands-on training to other Data Specialist as needed Perform basic Relativity searching and global updates to mark and/or tag records as requested; to include confirming record counts in Save Searches and Image redactions prior to creating exports for production Clearly and accurately discusses data inconsistencies found with Project Manager Assists on calls relating to data load file formats or media encryption software with Case - Manager and other IT individuals as requested Qualifications: Modify load files and perform quality control on loaded data quickly and accurately Assist with creating and updating document processing procedures as needed Run multiple load streams simultaneously Perform native file processing in LAW Export data from Relativity to create load files for other various platforms as requested by Case Manager Performs data conversion processing, including conversions of various document types Perform special format data conversions and file manipulation requests Handle quality control on load files and Relativity data loads and exports Perform advanced requests, such as creating data exports for productions and performing quality control on files, and complicated overlays or appends, privilege clawbacks, and sequestration of documents Perform quality control to confirm accuracy on loads completed by new Data Specialists Provide hands-on training to other Data Specialist as needed Perform basic Relativity searching and global updates to mark and/or tag records as requested; to include confirming record counts in Save Searches and Image redactions prior to creating exports for production Clearly and accurately discusses data inconsistencies found with Project Manager Assists on calls relating to data load file formats or media encryption software with Case Manager and other IT individuals as requested Our Commitment: Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client's specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years, we've been growing our government-contracting portfolio, and along the way, we've created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work. Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package. Health, Dental, and Vision Life Insurance 401k Flexible Spending Account (Health, Dependent Care, and Commuter) Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation! Explore additional job opportunities with CGS on our Job Board: https://cgsfederal.com/join-our-team/ For more information about CGS please visit: https://www.cgsfederal.com or contact: Email: [email protected] $61,152 - $82,992 a year We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Industry/Sector 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-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Job Description: The Data Center Technician I is a 24x7x365, market-based position responsible for providing physical and Level II technical support to Flexential customers and resources. A solid understanding of Facilities infrastructure, Windows operating systems, PC troubleshooting and management applications. Data Center Technician I's must be able to demonstrate the ability to represent Flexential both professionally and technically during interactions with customers and internal resources in a calm and professional manner. Key Responsibilities and Essential Job Functions: Establish and maintain strong customer relationships by prioritizing satisfaction and professionalism; respond to customer phone calls and emails promptly and effectively. Monitor and troubleshoot technical issues and alarms with Flexential Infrastructure. Comfortable with following ERP and Escalating to engineering staff in a fast-paced data center environment. Perform physical security walkthroughs, administration of security sign-in and badging procedures for all colocation customers, visitors, third parties and escorting them to designated work location while adhering and enforcing established company security standards. Track and document time spent on tasks and support cases including customer installations, site expansions, outages, and remote hands activities. Ensure accurate entry of Cap Labor on timesheets and timely completion and submission of all timesheets. Accurately follow Flexential Cabling Standards. Execute standard operational tasks including auditing, documentation, and report completion under guidance from senior team members. Accurately follow instructions for hardware installations, maintenance requests, and ticket updates within ServiceNow and other systems. Always maintain data center cleanliness and organization, including inventory of tools and equipment, and support shipping/receiving processes. Work a common hardware upgrade/replacement request. Identify information given during more complex requests as outlined by the remote hands product. Perform common maintenance/PRJTASK requests after receiving guidance/walkthrough from a local project coordinator. Identify physical layer problems through testing of cables (cables are properly seated, confirming power supplies are plugged in, power strip has power, etc.). Install hardware in a cabinet according to Flexential best practices. Understand OpsDB functionality. Install, label, and document power installed into customer cabinets. Can articulate process for ordering of PDUs, cable, and cabinets. Install, label, terminate, test and troubleshoot cabling consistently. Document CLX entries. Follow safety and fiber cleaning protocols. Read, understand and perform LOA verification. Support site safety and emergency readiness efforts by participating in walkthroughs and learning protocols. Maintain SLA compliance across assigned tasks. Document shift activities and complete handoffs to ensure continuity of operations. Learn and apply Technical Operations best practices, seeking guidance from DCT II and III team members. Demonstrate reliability and flexibility in supporting 24x7x365 operations, including working varied shifts as needed. Perform other duties as assigned, contributing to a high-performing, collaborative, and resilient data center environment. Required Qualifications: Passion for providing great customer experience. Strong verbal and written communication skills. Understanding of Windows and Microsoft operating systems. Must be a self-starter, reliable and dependable. Excellent verbal and written communications skills. Strong attention to detail, making and keeping commitments and meeting deadlines. High school diploma or equivalent. 0-4 years of experience working within an IT or Data Center Support environment. Cross Team Collaboration. Running Cable/Climbing Ladders. Effectively respond to critical infrastructure emergencies. Network/Power Monitoring. Candidates must have reliable transportation. Ability to learn quickly and apply new knowledge and skills. Assess situations and escalate accordingly, following internal procedures. Preferred Qualifications: 1 year of experience working within an IT or Data Center Support environment. Previous NOC/SOC/IOC experience and/or data center experience. Some familiarity with DS1, DS3, Ethernet and dark fiber circuits. Experience with data center infrastructure such as generators, UPS, DC Plant, HVAC, Fire suppression systems, and ability to read electrical diagrams Familiarity with basic hardware troubleshooting tasks, replacing hard drives, memory and motherboards. Knowledge of Windows operating systems both pc and server-side. Physical Requirements Ability to climb ladders and work aloft. Ability to work in hot and cold temperature environments. Ability to maneuver pallet jacks. Ability to lift up to 50 lbs. Ability to pull and install cabling. Limited travel may be required. Base Pay Range: Hourly salary range offered for this position is estimated to be $20.00 - $22.00. However, the actual pay range depends on each candidate's experience, location, and qualifications. This position has the following safety hazards: ☒ Chemical ☒ Confined Spaces ☒ Electrical ☒ Ergonomics ☒ Climb ladders ☒ Mechanical lift ☒ Noise ☒ Temperature Extremes ☒ Trip/Fall Not meeting every single requirement? No problem! We are looking for candidates who possess unique skills that set them apart from the rest. If you're enthusiastic about this role and believe you have the skills and abilities that would make you successful, don't hesitate to apply today! Benefits of working at Flexential: Medical, Telehealth, Dental and Vision 401(k) Health Savings Accounts (HSA) and Flexible Spending Accounts (FSA) Life and AD&D Short Term and Long-Term disability Flex Paid Time Off (PTO) Leave of Absence Employee Assistance Program Wellness Program Rewards and Recognition Program Benefits are subject to change at the Company's discretion. Flexential participates in the E-Verify program. Please click here for more information. #LI-Onsite EEOC Statement: Flexential is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.

If you're ready to be part of our legacy of hope and innovation, we encourage you to take the first step and explore our current job openings. Your best is waiting to be discovered. Day - 08 Hour (United States of America) The Lead Data Engineer will be part of a team building Stanford Health Care's (SHC) solutions incorporating Artificial Intelligence including providing health care solutions in the areas of patient care, medical research and administrative services. This group is designed to bring Artificial Intelligence (AI) and other emerging machine learning (ML) based innovations in data science into healthcare and will partner closely with individuals across clinical specialties and operations areas to deploy algorithms that can lead to better patient outcomes. Reporting to the Data Science Director and working closely with Stanford Medicine's inaugural Chief Data Scientist, this role will be responsible for building, scaling and maintaining the compute frameworks, analysis tooling, model implementations and agentic solutions that form our core AI platform. This is a Stanford Health Care job. A Brief Overview The Lead Data Engineer will be part of a team building Stanford Health Care's (SHC) solutions incorporating Artificial Intelligence including providing health care solutions in the areas of patient care, medical research and administrative services. This group is designed to bring Artificial Intelligence (AI), predictive algorithms and other emerging machine learning (ML) based innovations in data science into healthcare and will partner closely with individuals across clinical specialties and operations areas to deploy algorithms that can lead to better patient outcomes. Reporting to the Data Science Director and working closely with Stanford Medicine's inaugural Chief Data Scientist, this role will be responsible for maintaining compute frameworks, analysis tooling, and/or model implementations used or created by the team. The individual will design, implement, and support data processing software and infrastructure. Locations Stanford Health Care What you will do Build end-to-end data pipelines and infrastructure for ML models used by the Data Science team and others at SHC. Understand the requirements of data processing and analysis pipelines and make appropriate technical design and interface decisions. Elucidating these requirements will require training, developing, and validating researcher-built or vendor provided machine learning algorithms on hospital data as well as working with other members of the data science team. Understand data flows among the SHC applications and use this knowledge to make recommendations and design decisions for languages, tools, and platforms used in software and data projects. Troubleshoot and debug environment and infrastructure problems found in production and non-production environments for projects by the Data Science Team. Work with other groups at SHC and the Technology and Digital Solutions (TDS) group to ensure servers and system maintenance based on updates, system requirements, data usage, and security requirements. Education Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or related, or equivalent working experience Experience Qualifications 5+ years experience in building data infrastructure for analytics teams, including ability to write code in SQL, R, or Python for processing large datasets in distributed cloud environments Required Knowledge, Skills and Abilities Experience with cloud deployment strategies and CI/CD. Experience building and working with data infrastructure in a SaaS environment. Experience overseeing, developing or implementing machine learning operations (MLOps) processes. Experience mentoring junior engineers and enforcing best practices around code quality. Knowledge of multiple programming languages, commitment to choosing languages based on project-specific requirements, and willingness to learn new programming languages as necessary. Knowledge of resource management and automation approaches such as workflow runners. Collaborative mentality and excitement for iterative design working closely with the Data Science team. Physical Demands and Work Conditions Blood Borne Pathogens Category II - Tasks that involve NO exposure to blood, body fluids or tissues, but employment may require performing unplanned Category I tasks These principles apply to ALL employees: SHC Commitment to Providing an Exceptional Patient & Family Experience Stanford Health Care sets a high standard for delivering value and an exceptional experience for our patients and families. Candidates for employment and existing employees must adopt and execute C-I-CARE standards for all of patients, families and towards each other. C-I-CARE is the foundation of Stanford's patient-experience and represents a framework for patient-centered interactions. Simply put, we do what it takes to enable and empower patients and families to focus on health, healing and recovery. You will do this by executing against our three experience pillars, from the patient and family's perspective: Know Me: Anticipate my needs and status to deliver effective care Show Me the Way: Guide and prompt my actions to arrive at better outcomes and better health Coordinate for Me: Own the complexity of my care through coordination Equal Opportunity Employer Stanford Health Care (SHC) strongly values diversity and is committed to equal opportunity and non-discrimination in all of its policies and practices, including the area of employment. Accordingly, SHC does not discriminate against any person on the basis of race, color, sex, sexual orientation or gender identity and/or expression, religion, age, national or ethnic origin, political beliefs, marital status, medical condition, genetic information, veteran status, or disability, or the perception of any of the above. People of all genders, members of all racial and ethnic groups, people with disabilities, and veterans are encouraged to apply. Qualified applicants with criminal convictions will be considered after an individualized assessment of the conviction and the job requirements. Base Pay Scale: Generally starting at $94.35 - $125.03 per hour The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to, internal equity, experience, education, specialty and training. This pay scale is not a promise of a particular wage.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Vice President, Data Platform Engineering Overview: Mastercard is seeking a Vice President, Data Platform Engineering, responsible for providing strategic leadership, operational oversight, and driving innovation across our enterprise-wide Data Platform. Mastercard's Data & Analytics organization is undergoing a bold transformation to modernize our global data ecosystem-unlocking value through secure, scalable, and compliant data capabilities. Our current platform includes core components such as Apache NiFi, Apache Spark, and MinIO, supporting multiple internal applications for data ingestion, processing, and storage. We are now seeking an experienced and visionary leader to build and lead a Multi-Agent ETL Platform team. This role will design, develop, and operationalize an intelligent, scalable, and automated data pipeline ecosystem that leverages AI agents, orchestration frameworks, and modern data engineering tools to extract, transform, and load data from diverse legacy systems. The ideal candidate will bring deep data engineering expertise, AI-driven automation experience, and proven leadership skills to advance innovation, scalability, and efficiency across Mastercard's data infrastructure. This is a hybrid position based in O'Fallon, MO or Arlington, VA, requiring three days per week onsite. Role: Drive modernization from legacy and on-prem systems to modern, cloud-native, and hybrid data platforms. Architect and lead the development of a Multi-Agent ETL Platform for batch and event streaming, integrating AI agents to autonomously manage ETL tasks such as data discovery, schema mapping, and error resolution. Define and implement data ingestion, transformation, and delivery pipelines using scalable frameworks (e.g., Apache Airflow, Nifi, dbt, Spark, Kafka, or Dagster). Leverage LLMs, and agent frameworks (e.g., LangChain, CrewAI, AutoGen) to automate pipeline management and monitoring. Ensure robust data governance, cataloging, versioning, and lineage tracking across the ETL platform. Define project roadmaps, KPIs, and performance metrics for platform efficiency and data reliability. Establish and enforce best practices in data quality, CI/CD for data pipelines, and observability. Collaborate closely with cross-functional teams (Data Science, Analytics, and Application Development) to understand requirements and deliver efficient data ingestion and processing workflows. Establish and enforce best practices, automation standards, and monitoring frameworks to ensure the platform's reliability, scalability, and security. Build relationships and communicate effectively with internal and external stakeholders, including senior executives, to influence data-driven strategies and decisions. Continuously engage and improve teams' performance by conducting recurring meetings, knowing your people, managing career development, and understanding who is at risk. Oversee deployment, monitoring, and scaling of ETL and agent workloads across multi cloud environments. Continuously improve platform performance, cost efficiency, and automation maturity. All About You: Hands-on experience in data engineering, data platform strategy, or a related technical domain. Proven experience leading global data engineering or platform engineering teams. Proven experience in building and modernizing distributed data platforms using technologies such as Apache Spark, Kafka, Flink, NiFi, and Cloudera/Hadoop. Strong experience with one or more of data pipeline tools (Nifi, Airflow, dbt, Spark, Kafka, Dagster, etc.) and distributed data processing at scale. Experience building and managing AI-augmented or agent-driven systems will be a plus. Proficiency in Python, SQL, and data ecosystems (Oracle, AWS Glue, Azure Data Factory, BigQuery, Snowflake, etc.). Deep understanding of data modeling, metadata management, and data governance principles. Proven success in leading technical teams and managing complex, cross-functional projects. Passion for staying current in a fast-paced field with proven ability to lead innovation in a scaled organization. Excellent communication skills, with the ability to tailor technical concepts to executive, operational, and technical audiences. Expertise and ability to lead technical decision-making considering scalability, cost efficiency, stakeholder priorities, and time to market. Proven track leading high-performing teams with experience leading and coaching director level reports and experienced individual contributors. Bachelor's degree in Data Science, Computer Science, Information Technology, Business Administration, or a related field. Equivalent experience will also be considered. This role is not eligible for Mastercard's work authorization sponsorship. As such, candidates must be eligible to work in the United States, now as well as in the future, without employer sponsorship. #LI-NF1 #AI Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard's security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines. In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations. Pay Ranges Arlington, Virginia: $230,000 - $368,000 USD O'Fallon, Missouri: $200,000 - $320,000 USD

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we're changing the way people think about and interact with personal finance. We're a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we're at the forefront. We're proud to come to work every day knowing that what we do has a direct impact on people's lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The role: The Compliance Staff Data Scientist will be responsible for assisting the Anti-Money Laundering Compliance program with model development, model optimization, model validation, management information reporting, AML system integration, AML data infrastructure and AML data architecture to effectively fight financial crime. Additionally, this role will also support AML governance initiatives including risk assessments and internal/external inquiries. What you'll do: Facilitate AML model development, implementation, optimization, assessment and validation of risk-based customer screening, transaction screening, transaction monitoring and AML customer risk rating covering multiple product lines, including banking, brokerage and lending to ensure sound risk coverage across the enterprise. Maintain, test and configure AML vendor solutions to ensure conceptually sound design, proper implementation, and acceptable model performance. Research, compile and evaluate large sets of data to assess quality, integrity and completeness to determine suitability for AML model development. Architect and lead the design of advanced AML models utilizing machine learning and statistical modeling methods for supervised and unsupervised learning. Exercise flexibility in selecting model architectures, algorithms, third-party libraries, and development workflows, provided they align with project objectives and organizational requirements. Ensure AML compliance and regulatory requirements are embedded in the model design. Document modeling methodology, data sources, assumptions, and validation results. Lead governance and quality control across the full AML model lifecycle including code reviews, validation of methodology, input data integrity, and performance metrics. Ensure adherence to the organization's established ML framework, coding conventions, documentation standards, and model risk management policies, embedding AML compliance and regulatory requirements into design and deployment. Oversee documentation and review processes for internal model validation, external regulatory examinations, and cross-functional approvals, while supporting resolution of development blockers and coordinating with key stakeholders. Develop governance documentation related to tuning efforts, parameter changes and data validation for AML transaction monitoring to ensure a comprehensive audit trail is maintained. Track and report results of tuning and optimization activities and model performance to senior management. Develop robust management information dashboards displaying real-time or near real-time AML metrics. Partner with and advise the AML Governance Unit by providing necessary data for AML Risk Assessments, internal/external audit examinations and other regulatory requirements. What you'll need: Bachelor's Degree or Master's Degree in Statistics, Computer Science, Mathematics, Finance, Computer Science, Engineering or other relevant areas. 6+ years of experience in the finance industry focusing on BSA/AML, OFAC, or fraud modeling/analytics. Statistical/data analytical skills, including data quality validation, and predictive modeling experience in SQL and Python. Knowledge of and ability to leverage traditional databases, cloud-based computing, and distributed computing. Track record of leading AML governance-related initiatives, such as risk assessments, internal/external audits and other regulatory requirements. Demonstrated ability to communicate effectively with all levels of the organization and across different business lines. Nice to Have: Knowledge of AML regulations and the USA PATRIOT Act. Familiarity with regulatory guidance on Model Risk Management (Federal Reserve SR Letter 11-7, OCC Bulletin 2011-12, FDIC FIL 22-2017, DFS504) Experience with data visualization (e.g., Tableau) Experience with data monitoring systems (e.g., DataDog, Monte Carlo) Experience with cloud data infrastructure (e.g., Snowflake) Experience with automated transaction monitoring (e.g., Verafin) Experience with customer/transaction screening (e.g., LexisNexis) Experience with infrastructure automation software (e.g., Terraform) Familiarity with virtualization and containerization (e.g., Docker) Familiarity with container orchestration (e.g., Kubernetes) CAMS certification preferred Compensation and Benefits The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate's experience, skills, and location. To view all of our comprehensive and competitive benefits, visit our Benefits at SoFi page! Pay range: $153,600.00 - $264,000.00 Payment frequency: Annual This role is also eligible for a bonus, long term incentives and competitive benefits. More information about our employee benefits can be found in the link above. SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law. The Company hires the best qualified candidate for the job, without regard to protected characteristics. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. New York applicants: Notice of Employee Rights SoFi is committed to an inclusive culture. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com. Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time. Internal Employees If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.

Who You Are You are a data scientist, an experienced quantitative thinker who wants to develop further as both a data scientist and an engineer. You are skilled at finding the precise mathematical kernels of real-world business challenges faced by leading international financial institutions. You want to apply your expertise in statistics and computer science using Quantifind's state-of-the-art infrastructure to solve problems in Natural Language Processing, such as Entity Resolution, Document Classification, building Knowledge Graphs, and Topic Modeling. You are excited to work at a fast-growing company where you will have the chance to expand your scientific and engineering skills in new areas. You share Quantifind's commitment to winning together and are eager to see your coworkers build on the technical foundations you will be creating. You are passionate about maintaining the high scientific and engineering standards required to enable your peers. Above all, you are a curious and independent problem solver who is motivated to find a place where your skills can have a real impact. You're looking to explore a client-facing role at the intersection of software and consulting. You are obsessed with the idea of delighting clients at some of the world's leading Financial Institutions, helping them identify financial crimes. You have always been a strong critical thinker and know how to problem solve. You are an excellent communicator with the ability to distill complex concepts into clear and effective verbal and written presentations. You are comfortable working closely with Sales, Product, and Technology teams to promote a Customer Centric culture. You have an entrepreneurial spirit with a deep sense of personal accountability for work product quality and always take the initiative to propel work products to new heights. You maintain a positive attitude even in a deadline-driven environment, bring out the best in others, and enjoy contributing to the success of the team. Who We Are Quantifind is the Risk Intelligence company. We help some of the world's biggest banks identify money laundering and fraud. Quantifind also works with government agencies, using the same platform, to uncover criminal networks and support national security. Unlike other players in this space, Quantifind delivers results through an AI-driven software-as-a-service (SaaS) solution with consumer-grade user experiences. Quantifind's Graphyte platform uncovers signals of risk across disparate and unstructured text sources using artificial intelligence and natural language processing techniques. In financial crimes risk management, Quantifind's solution uniquely combines internal financial institution data with public domain data to assess risk in the context of Know Your Customer (KYC), Customer Due Diligence (CDD), Fraud Risk Management, and Anti-Money Laundering (AML) processes. Today, these compliance processes are burdened by ever-increasing regulatory responsibilities and an expectation of frictionless transactions. Legacy technologies demand increasingly more human resources as the operations expand; Quantifind's solution offers a way to cut through the inefficiency and enhance effectiveness simultaneously. Demand for this solution is fueling our rapid growth. To help you succeed, we provide a supportive environment that fosters collaboration between teams and team members, where learning and professional growth are considered a key part of your success, and of ours. We offer a flexible work environment with a family-friendly work-life balance. What a Great Candidate Looks Like: Master's degree or higher in Statistics, Mathematics, Computer Science, or a related quantitative field. At least 2 years of professional industry experience, in addition to your academic experience. Proficient in two or more of the following: Scala / Java, Python, R. Outstanding quantitative and analytical ability. Able to take less-than-precise business requirements and translate them into Quantitative problems that you enjoy solving. In-depth knowledge of Statistics / Probability / Machine Learning, including foundations such as bias/variance trade-off, regularization, dimension reduction, and model explanation. Prior experience with Natural Language Processing (NLP) methods such as Word and Contextual Embeddings, Named Entity Recognition, Topic Modeling, large-scale Document Classification, and Sequence-to-Sequence Models is a significant plus. Ability to apply software engineering best practices to build scalable, reliable ML pipelines. Comfortable prototyping algorithms, iterating quickly, and working collaboratively. Prior experience working with large-scale datasets (Millions of records) using SQL and Spark. Excellent written and verbal communication skills, prior experience explaining assumptions, conclusions, and methodology to technical and non-technical audiences. The Opportunity We Offer Quantifind is seeking to fill a Data Scientist position on our Data Science team. We work closely with the Product Management team and Platform engineers to anticipate company needs and quickly put state-of-the-art mathematical tools into the hands of end users. Members of the Data Science team translate real-world problems into quantitative language, find or create algorithms to solve those problems, and implement them in code. Our team values a creative and empathetic approach to problem-solving and strives to maintain rigorous scientific and engineering standards. We will give you the opportunity to work on the full spectrum of data science challenges, bringing solutions from research all the way to production. Quantifind's development team is centered in Palo Alto, California, and we have technology hubs in Atlanta, Georgia, and Washington, D.C. Quantifind is currently using a hybrid mix of working from home and in the office, with regular in-person touchpoints and shared office space. A highlight of our benefits: Competitive salary Company Equity Exceptional benefits package Flexible Vacation & Paid Time Off Employer-matched 401(k) plan A fun environment where work-life balance is valued The base salary range for this full-time position is $140,000 to $170,000. Our salary ranges are determined by role, level, and location, and the range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location, role-related knowledge and skills, depth of experience, relevant education or training, and additional role-related considerations. Depending on the position offered, equity, bonuses, commission, or other forms of compensation may also be provided as part of a total compensation package, in addition to a full range of medical, financial, and other benefits. We are an equal opportunity employer; we have a fun place to work and a devotion to succeeding together. Will you join us? Apply now!

Have you ever had that green-light feeling? When you hit every green light and the day just feels like magic. CLEAR's mission is to create frictionless experiences where every day has that feeling. With more than 30+ million passionate members and hundreds of partners around the world, CLEAR's identity platform is transforming the way people live, work, and travel. Whether it's at the airport, stadium, or right on your phone, CLEAR connects you to the things that make you, you - unlocking easier, more secure, and more seamless experiences - making them all feel like magic. As CLEAR continues to scale, we're deepening our investment in the data science ecosystem that powers our products, personalization, and decision-making. We're looking for a Data Scientist to design, develop, and deploy advanced statistical and machine learning models that drive measurable business impact on our digital identity platform. This is a hands-on individual contributor role for someone who blends strong modeling expertise, exceptional Python engineering craft, familiarity with modern ML tooling, and a passion for translating complex data into clear, actionable intelligence. You'll build and operationalize models that help CLEAR understand, predict, and optimize behavior across our digital identity platform delivering insights and automation that scale. What You'll Do: Evolve CLEAR's predictive modeling ecosystem: design, train, and optimize statistical and machine learning models for our digital identity platform that support product, risk, fraud, operations, and member experience teams. Develop high-quality production code including enhancements to feature engineering pipelines, model training workflows, and evaluation frameworks that meet reliability and performance standards. Partner with Data Engineering and ML Platform teams to deploy models into production and ensure real-time and batch inference systems run efficiently. Advance CLEAR's AI & ML capabilities by designing reusable modeling components, improving model documentation, and contributing to a roadmap for integrating ML into core products and decision flows. Improve experimentation and insight generation by building robust tooling and analytical frameworks, designing statistical tests, and synthesizing results into clear and actionable recommendations for cross-functional teams. What You Bring: 3+ years of experience in data science, machine learning, or applied statistics within a modern cloud data environment like AWS Sagemaker. Advanced Python with deep experience in scientific libraries (e.g. pandas, NumPy, SciPy, matplotlib), machine learning frameworks (e.g. scikit-learn, XGBoost, LightGBM, pytorch), and model evaluation tooling. SQL skills and experience working with cloud data warehouses (e.g. Snowflake, BigQuery, Redshift). Experience with modern ML workflow tools (e.g., Airflow, Dagster, MLflow, Vertex / SageMaker, Voxel 51). Understanding of statistical methods, experiment design, data cleansing, feature engineering, and model interpretability. Experience deploying production models and maintaining them through their lifecycle (monitoring, retraining, performance management). Strong communication and storytelling skills; you can translate complex data science work into insights and decisions. A proactive, curious mindset with a passion for standardization, repeatability, and scaling high-quality modeling practices. Why You'll Love This Role: High-impact: Your models and insights will shape decision-making and member experiences across CLEAR. Craft + influence: Blend hands-on modeling with the opportunity to set the bar for data science excellence company-wide. Mission-driven culture: Help build trusted, secure, frictionless experiences for millions. Autonomy: Build cutting-edge solutions while helping to guide best practices Culture that moves: We value curiosity, iteration, direct feedback, and bold thinking. How You'll be Rewarded: At CLEAR, we help YOU move forward - because when you're at your best, we're at our best. You'll work with talented team members motivated by our mission of making experiences safer and easier. Our offices are bright and energetic with an open concept and plenty of conference rooms and casual co-working spaces. We also offer catered lunches every day and have fully stocked kitchens. Outside of the office, we invest in your well-being and learning & development with stipends and reimbursement programs. We offer holistic total rewards, including comprehensive healthcare plans, family-building benefits (fertility and adoption/surrogacy support), flexible time off, annual wellness stipend, free OneMedical memberships for you and your dependents, a CLEAR Plus membership, and a 401(k) retirement plan with employer match. The base salary range for this role is $150,000 -$180,000, depending on levels of skills and experience. The base salary range represents the low and high end of CLEAR's salary range for this position. Salaries will vary depending on various factors which include, but are not limited to location, education, skills, experience and performance. The range listed is just one component of CLEAR's total compensation package for employees and other rewards may include annual bonuses, commission, Restricted Stock Units CLEAR provides reasonable accommodation to qualified individuals with disabilities or protected needs. Please let us know if you require a reasonable accommodation to apply for a job or perform your job. Examples of reasonable accommodation include, but are not limited to, time off, extra breaks, making a change to the application process or work procedures, policy exceptions, providing documents in an alternative format, live captioning or using a sign language interpreter, or using specialized equipment. We are committed to a transparent and secure hiring process. All communications related to this role will come directly from a CLEAR employee through valid CLEAR channels (e.g., a valid @clearme.com email address or verified CLEAR LinkedIn profile). We encourage candidates to remain alert to job scams and to report any suspicious activity. #LI-Onsite

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

The AV Safety Data Reporting Engineer will be responsible for ensuring all relevant safety data and information is accurately gathered, analyzed, and presented for compliance to multiple internal and external requirements. You will be responsible for continued development and implementation of effective data and analysis processes commensurate with Zoox's safety innovative leadership. As an AV Safety Data Reporting Engineer, you will define and implement innovative processes that are rigorous, diligent, and systematic, as well as applicable and repeatable, as Zoox continues to scale, to ensure the highest level of safety in the organization and product. You will continually improve our internal data gathering, analysis, and reporting processes, and work closely with our Legal, Policy, Operations, Vehicle Engineering, Safety Design, Software, Hardware, and Communications teams to ensure a quantified, rigorous, disciplined, engineering approach. In this role, you will: Create, implement, and maintain our internal and external safety data gathering, analysis, and reporting processes, and work cross-functionally with other internal organizations to ensure proper regulatory reporting. Support the implementation of safety and risk data programs, processes and dashboards for awareness and decision-making, including systematically ensuring representation and input from key internal stakeholders. Support continuous improvement of our safety data programs, including establishing and maintaining critical dashboards on key safety metrics, incidents, and other information. Assist with formal reviews of safety programs with executive leadership and present data, findings and areas of improvement. Champion strong safety culture at Zoox. Support the continuing development and implementation of successful operational safety and compliance programs Qualifications 5+ years of experience in the AV, Automotive, Transportation or Robotics industries, with experience with forensic data analysis or reporting to regulatory requirements or to other critical audiences Proven ability to analyze data from disparate sources, and analyze and categorize underlying events based on technical engineering methods, concepts, or experience Basic understanding of vehicle systems and automotive functionality Demonstrated attention to detail in analyzing technical, engineering or forensic data Strong communication skills with individuals from varying levels of management, including ability to collaborate to achieve multiple simultaneous goals for the organization Demonstrated program management experience and skills, with ability to guide/help others to accomplish complex programs and tasks BS in Engineering, Masters preferred; may consider other degrees in a technical, data, or safety-related field Bonus Qualifications Experience with NHTSA SGO, TREAD, or California DMV AV reporting requirements Experience in automated vehicle systems and functionality Advanced degree in Engineering, Management or other transportation safety-related field Membership or participation in professional societies or industry standards activities Certification in Safety or Automotive systems $175,000 - $210,000 a year Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance. About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We're looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to [email protected] or your assigned recruiter. A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. 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.

THIS IS NOT A DATA ENGINEERING RELATED POSITION CAI seeks Mechanical Commissioning Engineers, Minimum of two years' experience in Data Center Commissioning to support development and execution of all mechanical aspects of commissioning projects. Position Description: This position supports development and execution of all mechanical aspects of assigned commissioning projects from initial engagement, design reviews, checklists, safety support, script development, vendor coordination, testing and report development through turn over to the client. The Mechanical Commissioning Engineer will support the development of the mechanical test schedule, finalize mechanical test procedures, review project submittals for consistency with the design intent, basis of design and the owner's project requirements, and maintain project cadence for the mechanical systems testing and associated Building Automation Systems. The Mechanical Commissioning Engineer is to support the planning and execution of commissioning for the mechanical infrastructure of the mission critical facility. They will be expected to execute against the project schedule through the coordination of contractors and/or vendors to complete the desired mechanical systems testing. CAI DC Mechanical Commissioning Engineer will be exposed to cutting edge technologies in the Hyperscale and other spaces. You will have an opportunity to work with recognized subject matter experts allowing YOU to be a key player in bringing data technologies to market. As part of our company culture, we invest in YOUR future, and commit to hands on certifications as well as professional training. Our collaborative culture ensures that our customers benefit from exemplary work across our entire range of professional services. Responsibilities: Support and contribute to all aspects of safety for all mechanical tests. Support complete commissioning and performance acceptance testing of the mechanical infrastructure systems. Development of all mechanical test procedures, MOPS, SOO's and checklists. QA/QC of all mechanical test procedures. Provide input and insight to the overall commissioning plan. Develop reports for the mechanical testing and contribute to a daily report to the Commissioning Project Manager. Attend and be an active participant of customer equipment Factory Witness Test Assist with vendor coordination and management. Perform equipment inspection to ensure build adherence to vendor submittal. Provide test documentation that equipment is delivered, installed, and tested correctly and set to function properly for the customer. Support and perform design specification review, manufacturer submittals, one line drawing sets, and project schedule documentation. QA/QC of mechanical equipment installation\startup Execute test scripts to confirm equipment and system operation to design specification. Ensure safe work practices are followed by the commissioning team and customer site. Engage with customers and vendors to ensure positive experience, goals achievement, and schedule adherence. Provide daily status reports for mechanical commissioning team status. Conduct facility walk downs, turnover, and punch list reviews. General understanding of LEED specifications and requirements. Look for new opportunities for CAI to provide service and value to customer. Duties may be increased as experience and skill allow. Requirements include: Position Requirements: Bachelor's degree or equivalent experience Minimum of 2 years Data Center Commissioning experience. Knowledge of OSHA safety requirements. Good written and verbal communication skills. Ability to read and interpret mechanical drawings, P&ID's and specifications. Knowledge of mission critical design concepts. Knowledge of various Building Automation/Monitoring Systems (BAS/BMS), Air Handlers, Humidifiers, Variable Refrigerant Flow, Computer Room Air Conditioners/Handlers (CRAC/CRAH), Evaporators, Adiabatic Coolers, Pressure/Temperature/Humidity sensors & Flowmeters. Knowledge of basic thermodynamics and heat transfer and fluid flow. Knowledge of the Test, Adjust and Balance (TAB) process. Knowledge of mechanical trend analysis. Strong experience with Word, Excel and PowerPoint. Can effectively create final products in all three programs. Work under construction site conditions Other Requirements: Excellent oral and written English is required Extensive travel may be required (75%) Candidates must have a Passport or the ability to immediately get a Passport Able to work in the US without sponsorship now or any time in the future. About CAI CAI is a 100% employee-owned company established in 1996, that has grown year over year to more than 800 people worldwide. We provide commissioning, qualification, validation, start-up, project management and consulting services related to operational readiness to FDA regulated and other mission critical industries. Are You Ready? Our approach is simple; we put the client's interests first, we do not stop until it is right, and we will do whatever it takes to get there. As owners of CAI, we are committed to living our Foundational Principles, both professionally and personally: We act with integrity We serve each other We serve society We work for our future With employee ownership, one person's success is everyone's success; we work diligently to accomplish team goals. We place Team Before Self, demonstrate Respect for Others, and possess a can-do attitude. That is how we have grown exponentially. Benefits Our full-time positions offer competitive compensation and benefits which include: up to 15% retirement contribution, 24 days PTO and 5 sick days per year, health insurance at extremely low cost to employee, financial support for both internal and external professional education as well as 70% long term disability paid for by the company. #LI-MV1 #MISSIONCRITICAL $72,800 - $85,500 a year Average salary range, not including benefits or compensatory time and possible discretionary bonuses. CAI Benefits: Comprehensive Health Insurance coverage 24 days of Paid Time Off ESOP/401K - 15% Company Contribution (US Only) Company paid Life Insurance Company paid Long Term Disability We are an equal opportunity employer; we are proud to employ veterans and promote a diverse culture in our workplace. Diversity is a strength for our global company. We pledge that CAI will be operated in a way that is fair and equitable to all - our employees, our customers, and the broader society. This job description is not all inclusive and you may be asked to do other duties. CAI will also consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the FCO. 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.

Mantis Innovation provides managed facility services and turnkey program management with technology-enabled solutions that target the entire building footprint. We look at the entire facility-inside and out-and can impact 70% of what a building operator allocates critical budget dollars toward, including: Strategic electricity and natural gas procurement, renewable energy, and demand response; climate impact reduction and reporting, net zero strategies, and sustainability planning; roofing, solar, HVAC assessment management, pavement, building envelope, data center optimization, and EV charging; lighting/LED retrofits, HVAC/mechanical systems, and BMS/BAS improvements and implementation. General Purpose: The BMS Technical Solution Sales Executive will drive client growth for our data center facility solutions, specifically related to building automation systems. This role involves identifying and developing building management system (BMS) strategies that improve operational efficiency, sustainability, and energy performance. We are looking for candidates who know about data center facility configurations, not data racking configurations* You will work closely with controls engineers, sales engineers, project managers, and client stakeholders to audit current systems, develop control strategies, build solution proposals, and close project opportunities. This position requires a consultative sales approach focused on understanding building infrastructure challenges and applying best-fit BMS building technologies. Travel is required for on-site evaluations and client engagement. Here's what you'll do: Quickly evaluate existing systems in data centers and commercial/industrial facilities (BMS/controls, electrical, lighting, HVAC, mechanical,) and propose tailored BMS solutions that optimize performance, energy usage, cost of construction, occupant comfort, and probable utility incentive benefits. Conduct site audits and assessments to understand facility needs and identify solution opportunities. Create and revise solution scopes to meet ROI, payback, and performance targets. Present solution strategies and value-based proposals to decision-makers, facility managers, and engineers. Lead and manage the full sales cycle to achieve annual quota from building and managing pipeline to developing opportunities through deal closure, including contract negotiations. Create and maintain a territory-specific sales plan with defined targets and growth strategies. Utilize business and financial knowledge to develop compelling value propositions that align with client goals. Coordinate internal stakeholders in crafting customized deal structures and solution positioning. Qualify inbound and outbound opportunities and manage demand generation efforts. Engage in high-level executive conversations to understand business priorities, financial drivers, and strategic objectives. Navigate complex accounts with multiple sites, global footprints, or high operational complexity. Share best practices across the sales organization and support coaching of fellow sales executives. Collaborate with utility providers and internal teams to qualify projects for available energy incentives and rebates. Drive favorable solution specifications and influence smart building standards with consultants and design engineers. Coordinate with solution engineers and project delivery teams to ensure project feasibility, profitability, and execution success. Develop and maintain strong relationships with key stakeholders including end users, contractors, and engineering firms. Travel for client-facing meetings, site visits, and presentations (estimated 40-50%). Qualifications: 5+ years of complex solution selling experience in building automation, energy efficiency, and critical facility/data center environments. Demonstrated success in developing and closing BMS, automation, or facility performance projects of $5M or more. Experience working with engineers, contractors, and utility incentive programs. Knowledge and experience with OEM building control platforms, automation architecture, and integration strategies. Proficiency with Microsoft Office Suite, Salesforce (or comparable CRM tools) preferred. Skills of the job: Strong knowledge of mechanical and electrical systems, building controls, and integration platforms. Strong consultative selling and client relationship management skills. Ability to translate technical information into compelling business value propositions. Detail-oriented with strong organizational and time-management skills. Confident, coachable, and proactive with a growth mindset. Excellent verbal and written communication skills. Passion for continuous learning and innovation in smart building technologies. $125,000 - $375,000 a year The above salary mentioned is OTE (On-Target Earnings): base salary PLUS commission Note: Employees are held accountable for all duties of this job. This job description is not intended to be an exhaustive list of all duties, responsibilities, or qualifications associated with the position. What else can we offer you? We offer a fantastic lineup of benefits, including Medical, Dental, Vision, FSA, HSA, 401k Matching, Paid Vacation, Paid Sick, Paid Holidays, Paid Parental Leave, Paid Short Term & Long Term Disability, Tuition Reimbursement, and a flexible hybrid work schedule (for office-based employees). Working at Mantis also brings tremendous professional development opportunities that allow you to make a real impact on both the company and your career! Not sure you meet every single requirement? Studies show that women and individuals from underrepresented groups often hesitate to apply unless they check every box. At Mantis, we're committed to building an inclusive and equitable team-so if this role excites you, we'd love to hear from you, even if your experience doesn't match every single qualification. Mantis Innovation is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Industry/Sector 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-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Data Scientist, Mid 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 analytical skills and data science knowledge to create real-world impact. You'll work closely with your 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 develop algorithms and systems and use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to help clients 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: 1+ year of experience in statistics, operations research, or advanced mathematics Experience with R or Python Experience using scientific methods to inform qualitative and quantitative analyses Ability to work effectively in a collaborative and fast-paced environment TS/SCI clearance with a polygraph HS diploma or GED Nice If You Have: Experience with optimization, modeling and simulation, prediction, estimation, decision analysis, or engineering management Experience analyzing large-scale datasets Experience with data gathering, cleansing, and parsing Experience developing and applying optimization and simulation models Ability to work in Windows and Linux OS environments Bachelor's degree in Operations Research, Applied Mathematics, or Data Science Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance with polygraph is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (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.

About the Role The Data Acquisition Team is the entry point to WEX's Data-as-a-Service (DaaS) platform-responsible for ingesting, validating, and orchestrating raw data from dozens of internal systems and third-party providers. As a Software Engineer 2 - Data Acquisition (Data Engineer), you'll play a key role in designing and building robust, scalable, and extensible pipelines that feed the entire data ecosystem at WEX. You'll work across multiple data domains and ingestion patterns-batch, streaming, and event-driven-while ensuring quality, performance, and governance are embedded in every step. WEX is undergoing a data platform transformation-and this team builds the foundation. Every pipeline you create contributes directly to powering analytics, automation, and product intelligence across all business domains. If you're passionate about scaling data platforms from the ground up, this is your chance to help shape how WEX ingests and leverages its most valuable asset: data. What You'll Do Design and implement moderately complex ingestion pipelines that integrate with internal and external systems. Develop reusable components for data transformation, validation, and logging. Contribute to both batch and streaming ingestion flows, ensuring scalability and maintainability. Support platform observability by enhancing monitoring, alerting, and error-handling features. Participate in design discussions, code reviews, and incident investigations. Partner with data consumers to understand requirements and translate them into ingestion solutions. Improve automation and testing coverage to reduce manual effort and increase pipeline reliability. What You Bring B.Sc. in Computer Science, Engineering, or related technical field (M.Sc. preferred). Equivalent experience considered. 2-4 years of experience as a data or software engineer, ideally working with data pipelines or distributed systems. Solid programming skills in Python, Java, or Scala, with ability to write maintainable, production-ready code. Hands-on experience with ETL/ELT pipelines, schema management, and data modeling concepts. Familiarity with streaming (e.g., Kafka, Kinesis, Spark Streaming) or batch frameworks. Understanding of CI/CD, version control, and testing practices. Exposure to observability practices such as logging, metrics, and tracing. Strong sense of accountability and eagerness to take ownership of assigned deliverables. The base pay range represents the anticipated low and high end of the pay range for this position. Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role. Base pay is one component of WEX's total compensation package. Most sales positions are eligible for commission under the terms of an applicable plan. Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan. WEX's comprehensive and market competitive benefits are designed to support your personal and professional well-being. Benefits include health, dental and vision insurances, retirement savings plan, paid time off, health savings account, flexible spending accounts, life insurance, disability insurance, tuition reimbursement, and more. For more information, check out the "About Us" section. Pay Range: $96,100.00 - $115,500.00

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we're changing the way people think about and interact with personal finance. We're a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we're at the forefront. We're proud to come to work every day knowing that what we do has a direct impact on people's lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The role: SoFi is seeking a highly motivated Senior Data Scientist to join the Marketing Data Science (MDS) team. The MDS team plays a crucial role in enabling data-driven decisions across SoFi's Marketing organization through robust analytics, modeling, experimentation, and measurement. This exciting new role will focus on supporting the development and execution of top-tier marketing strategies specifically within the Direct Mail (DM) channel. The DM channel is a key driver of revenue and new account acquisition for SoFi, encompassing all lending products-including Personal Loans, Home Loans, Student Loan Refinance, In-school Loans, and Credit Cards-as well as Checking & Savings, Small Medium Business Loans, and future products. This position is ideal for someone passionate about utilizing data for problem-solving in a fast-paced environment. It requires direct interface with marketing managers, channel owners, and third-party partners to collaboratively identify opportunities for improvement and enhanced efficiency. What you'll do: Manage the end-to-end Direct Mail (DM) campaigns, including pre-screened (PS) and invitation-to-apply (ITA) across products. This encompasses identifying the underwriting, marketing and suppression rules, clearly defining the data source and logic, executing the code, validating the result and file ingestion, managing the approval process and tracking the campaign performance. Ensure a clear understanding of campaign schedules and deliverables. Diligently manage the status of each step, noting any dependencies, delays, or challenges. Escalate issues to business partners or upper management as necessary and propose actions for resolution. Serve as the primary liaison between the onshore and offshore teams. This includes communicating onshore needs to the offshore team and collaborating on campaign execution, validation, performance readouts and analysis. Partner with channel owners and marketing managers to develop strategies for optimizing and expanding target audiences, improving conversion rates, and maximizing return on investment (ROI). Support ad-hoc campaign execution or analytics requests outside of the BAU schedule, demonstrating flexibility to accommodate business needs, focusing on solutioning, and finding ways to optimize efficiency and cost. Work with Bureau and 3rd party partners to explore new data, models or ideas to drive business growth besides campaign execution. Proactively measure and analyze the effectiveness and ROI of marketing campaigns and strategies, providing data-driven recommendations and driving informed actions. Translate complex business objectives into actionable, data-driven tactics and campaigns that deliver immediate results and build a strong foundation for sustained growth. Convert complex data into clear, compelling narratives and concise presentations to inform and guide senior management decision-making. What you'll need: Bachelor's degree in Computer Science, Math, Physics, Engineering, or a quantitative field required; Master's degree preferred. 5+ years of relevant marketing experience in the financial services industry, with a focus on pre-screened/pre-approved campaigns. Proficiency in SQL, Python, and Tableau. Experience building data pipelines with Airflow, preferably in Snowflake. Demonstrated experience with experimentation and hypothesis testing. Knowledge of statistical modeling or machine learning is a plus. High intellectual curiosity and a quick learner of new technical skills. Ability to initiate and drive projects independently to completion, and ability to clearly communicate technical information to diverse audiences. Strong relationship-building and collaborative skills. Ability to thrive in a dynamic, cross-functional environment with keen attention to detail. Compensation and Benefits The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate's experience, skills, and location. To view all of our comprehensive and competitive benefits, visit our Benefits at SoFi page! Pay range: $128,000.00 - $240,000.00 Payment frequency: Annual This role is also eligible for a bonus, long term incentives and competitive benefits. More information about our employee benefits can be found in the link above. SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law. The Company hires the best qualified candidate for the job, without regard to protected characteristics. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. New York applicants: Notice of Employee Rights SoFi is committed to an inclusive culture. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com. Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time. Internal Employees If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.

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

Blue Owl (NYSE: OWL) is a leading asset manager that is redefining alternatives. With over $295 billion in assets under management as of September 30, 2025, we invest across three multi-strategy platforms: Credit, Real Assets and GP Strategic Capital. Anchored by a strong permanent capital base, we provide businesses with private capital solutions to drive long-term growth and offer institutional investors, individual investors, and insurance companies differentiated alternative investment opportunities that aim to deliver strong performance, risk-adjusted returns, and capital preservation. Together with approximately 1,365 experienced professionals globally, Blue Owl brings the vision and discipline to create the exceptional. To learn more, visit www.blueowl.com Job Summary: Blue Owl Capital is seeking a highly motivated and detail-oriented Associate to join our Investment Operations team in New York, focusing on data integrity. This role is crucial in ensuring the accuracy and consistency of our investment data, supporting critical decision-making and reporting across the firm. Job Responsibilities: Perform daily reconciliation and validation of investment data across various internal and external systems, identifying and resolving discrepancies in a timely manner. Monitor data feeds and system interfaces to ensure completeness, accuracy, and timeliness of investment information, including positions, transactions, and valuations. Investigate and resolve data integrity issues by collaborating with internal stakeholders (e.g., portfolio management, accounting, technology) and external partners (e.g., custodians, administrators). Develop and implement data quality checks and controls to proactively identify potential data errors and enhance data governance processes. Assist in the development, documentation, and enhancement of operational procedures related to data integrity and investment operations workflows. Support periodic data audits and regulatory reporting requirements by providing accurate and reconciled data. Participate in testing and implementation of new systems, data sources, and process improvements related to investment data. Generate and analyze data integrity reports, providing insights and recommendations for process enhancements. Maintain a strong understanding of Blue Owl's investment strategies, instruments, and operational processes. Job Qualifications: Bachelor's degree in Finance, Economics, Accounting, or a related quantitative field. 2-5 years of experience in investment operations, data management, or a similar role within the financial services industry. Strong understanding of various financial instruments, including fixed income, equities, and alternative investments. Proven experience with data reconciliation, validation, and error resolution. Proficiency in Microsoft Excel (e.g., VLOOKUP, pivot tables, data analysis). Familiarity with investment management systems (e.g., Advent Geneva, BlackRock Aladdin, etc.) is a plus. Excellent analytical and problem-solving skills with a keen eye for detail. Strong communication (written and verbal) and interpersonal skills, with the ability to collaborate effectively with diverse teams. Ability to work independently and manage multiple priorities in a fast-paced environment. Proactive and self-motivated with a strong commitment to accuracy and data quality. It is expected that the base annual salary range for this New York-based position will be $90,000 - $105,000. Actual salaries may vary based on factors, such as skill, experience, and qualification for the role. Employees may be eligible for a discretionary bonus, based on factors such as individual and team performance. Blue Owl is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law.

Overview: The Data Acquisition team within the Foundations organization at OpenAI is responsible for all aspects of data collection to support our model training operations. Our team manages web crawling and GPTBot services and works closely with Data Processing, Architecture, and Scaling teams. We are looking for a skilled Software Engineer to join our Data Acquisition team. Responsibilities: Own and lead engineering projects in the area of data acquisition including web crawling, data ingestion, and search. Collaborate with other sub-teams, such as Data Processing, Architecture, and Scaling, to ensure smooth data flow and system operability. Work closely with the legal team to handle any compliance or data privacy-related matters. Develop and deploy highly scalable distributed systems capable of handling petabytes of data. Architect and implement algorithms for data indexing and search capabilities. Build and maintain backend services for data storage, including work with key-value databases and synchronization. Deploy solutions in a Kubernetes Infrastructure-as-Code environment and perform routine system checks. Conduct and analyze experiments on data to provide insights into system performance. Qualifications: BS/MS/PhD in Computer Science or a related field. 4+ years of industry experience in software development. Experience with large web crawlers a plus Strong expertise in large stateful distributed systems and data processing. Proficiency in Kubernetes, and Infrastructure-as-Code concepts. Willingness and enthusiasm for trying new approaches and technologies. Ability to handle multiple tasks and adapt to changing priorities. Strong communication skills, both written and verbal. 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.