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At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers' expectations while making a real impact for our company through our shared purpose. When you join our company, we want you to feel valued, supported and proud to work here. That's why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers. GEICO is looking for a customer-obsessed and results-oriented Product Manager to support our Data Ingestion and Movement platform. This role will help drive product direction for our data ingestion, ETL/ELT pipelines, and data movement services, focusing on enabling reliable data flow into our lakehouse and other data stores. The ideal candidate will have a technical background in data engineering and experience delivering scalable data platforms and data pipeline solutions. Description As a Product Manager for Data Ingestion and Movement, you will be responsible for supporting the product vision and execution for GEICO's data ingestion and movement products. To successfully shape a platform that enables pipeline-as-a-service and supports a scalable data mesh architecture, a strong technical understanding of data pipelines, data integration patterns, data orchestration, ETL/ELT processes, and platform engineering is essential. Your goal is to abstract complexity and empower domain teams to autonomously and efficiently build, deploy, and govern data pipelines. This role also requires stakeholder management skills and the ability to bridge technical solutions with business value. Key Responsibilities Support the development and execution of data ingestion and movement platform vision aligned with business goals and customer needs Help create and maintain a clear, prioritized roadmap for data ingestion and movement capabilities that balances short-term delivery with long-term strategic objectives Support evangelizing the Data Ingestion and Movement platform across the organization and help drive stakeholder alignment Stay abreast of industry trends and competitive landscape (Apache Kafka, Apache Airflow, AWS Glue, Azure Data Factory, Google Cloud Dataflow, etc.) to inform data ingestion strategy Support requirement gathering and product strategy for data ingestion, ETL/ELT pipelines, and data movement services Understand end-to-end data ingestion workflows and how data movement fits into the broader data ecosystem and downstream analytics Support data governance initiatives for data lineage, quality, and compliance in data ingestion and movement processes Ensure data ingestion and movement processes adhere to regulatory, compliance, and data quality standards Partner with engineering on the development of data ingestion tools, pipeline orchestration services, and data movement capabilities Help define product capabilities for data ingestion, pipeline monitoring, error handling, and data quality validation to improve reliability and performance Support customer roadshows and training on data ingestion and movement capabilities Build instrumentation and observability into data ingestion and movement tools to enable data-driven product decisions and pipeline monitoring Work closely with engineering, data engineering, and data teams to ensure seamless delivery of data ingestion and movement products Partner with customer success, support, and engineering teams to create clear feedback loops Translate data ingestion and movement technical capabilities into business value and user benefits Support alignment across multiple stakeholders and teams in complex, ambiguous environments Qualifications Required Understanding of data ingestion patterns, ETL/ELT processes, and data pipeline architectures (Apache Kafka, Apache Airflow, Apache Spark, AWS Glue, etc.) Experience with data integration APIs, connectors, and data pipeline orchestration tools Basic understanding of data pipeline monitoring, observability, and data quality validation practices Experience in cloud data ecosystems (AWS, GCP, Azure) Proven analytical and problem-solving abilities with a data-driven approach to decision-making Experience working with Agile methodologies and tools (JIRA, Azure DevOps) Good communication, stakeholder management, and cross-functional collaboration skills Strong organizational skills with ability to manage product backlogs Preferred Previous experience as a software or data engineer is a plus Strong business acumen to prioritize features based on customer value and business impact Experience with data ingestion tools (Apache Kafka, Apache NiFi, AWS Kinesis, Azure Event Hubs, etc.) Knowledge of data lineage, data quality frameworks, and compliance requirements for data ingestion Insurance industry experience Experience Minimum 5+ years of technical product management experience building platforms that support data ingestion, ETL/ELT pipelines, data engineering, and data infrastructure Track record of delivering successful products in fast-paced environments Experience supporting complex, multi-stakeholder initiatives Proven ability to work with technical teams and translate business requirements into technical product specifications Experience with customer research, user interviews, and data-driven decision making Education Bachelor's degree in computer science, engineering, management information systems, or related technical field required MBA/MS or equivalent experience preferred Annual Salary $88,150.00 - $157,850.00 The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations. At this time, GEICO will not sponsor a new applicant for employment authorization for this position. The GEICO Pledge: Great Company: At GEICO, we help our customers through life's twists and turns. Our mission is to protect people when they need it most and we're constantly evolving to stay ahead of their needs. We're an iconic brand that thrives on innovation, exceeding our customers' expectations and enabling our collective success. From day one, you'll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people's lives. Great Careers: We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career - and your potential - in mind. You'll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels. Great Culture: We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose. As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers. Great Rewards: We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future. Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family's overall well-being. Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance. Access to additional benefits like mental healthcare as well as fertility and adoption assistance. Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year. The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled. GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.

We are seeking a Senior Data Scientist/Architect to support our customer onsite in Bethesda, MD. This position will work directly with a Chief Data & Artificial Intelligence Officer (CDAO) to support a fast-paced, dynamic enviornment and work closely with a goverment customer and IT developers to validate customer's data and data analytics requirements. Primary Job Duties Establish Data Environments, and serve as the data visualization subject matter expert. Create and translate trend, time-series, and predictive analyses, and facilitate statkeholder decision-making technical exchange meetings. Participate in hands on work on data science for data modeling, design, model training, and implementation to meet enterprise requirements. Establishing the system environment for large data sets, considering aspects such as data capture, storage, extraction, process and analysis. Using data visualization tools to create roadmaps, placemats and process flows; and creatively displaying data to facilitate customer decision-making processes. Applying data wrangling and exploration techniques. Manipulating data to gather insights from large structured and unstructured data sets and developing trend analyses. Developing algorithms to facilitate data analysis, support identification of data errors, and developing pattern analysis from multiple disparate data sources. Providing input on software implementation for analytics. Validating customer requirements and determining feasibility of solutions and alternative options. Contributing to and collaborating on executive-level briefings for the CDAO. Provide excellent organizational, analytical, data science abilities, and compile and organize statistical information retrieved and present findings to management. Strong math, coding and analytical skills are essential to complete job requirements successfully. Qualifications Current TS/SCI with Poly is required. Bachelor’s degree in Computer Science, Computer Engineering, or relevant STEM field. 10+ years of total professional experience in a technical setting; with at least 5 of those years as a Data Scientist, or related role. Ability to implement effective data solutions to ingest, curate, store and retrieve agency mission, business and IC data. Ability to establish a system environment for large data sets, considering aspects such as data capture, storage, extraction, process and analysis. Experience using data visualization tools to create roadmaps, placemats and process flows; and the ability to creatively display data to facilitate customer decision-making processes. Ability to manipulate data from disparate structured and unstructured sources to develop models and other detailed analysis that provide meaningful data insights. Experience with Programming languages like Python, Java, SQL and Cloud technologies. Ability to work in a dynamic and fast-paced mission environment which requires balancing competing priorities and schedules. Desired Skills: Have a depth of experience in data science, to include demonstrated experience with programming languages (e.g. Python, SQL), statistical programs (e.g. R and MS Excel), and data visualization tools (e.g. Tableau, Power BI, QlikView). Data scientist certification from AWS, Google, Microsoft, Oracle, or etc. Demonstrated experience with data modeling tools to include or similar to ER/Studio, Erwin or Lucid Chart. Deep understanding of machine learning and artificial intelligence for logical applications and techniques. Have experience working in Agile and DevOps environments.

Job Description: We are seeking a highly skilled and experienced Senior Data Engineer to join our team. The ideal candidate will have a strong background in data engineering, with a specialization in Matillion, SSIS, Azure DevOps, and ETL processes. This role will involve designing, developing, testing, and deploying ETL jobs, collaborating with cross-functional teams, and ensuring efficient data processing. Key Responsibilities: Design, develop, test, and deploy Matillion ETL jobs in accordance with project requirements. Collaborate with the Data and BI team to understand data integration needs and translate them into Matillion ETL solutions. Create and modify Python code/components in Matillion jobs. Identify opportunities for performance optimization and implement enhancements to ensure efficient data processing. Collaborate with cross-functional teams, including database administrators, data engineers, and business analysts, to ensure seamless integration of ETL processes. Create and maintain comprehensive documentation for Matillion ETL jobs, ensuring knowledge transfer within the team. Create, test, and deploy SQL Server Integration Service (SSIS) packages and schedule them via Active Batch scheduling tool. Create Matillion deployment builds using Azure DevOps CI/CD pipeline and perform release manager activities. Review code of other developers (L2, L3-BI/DI) to ensure code standards and provide approval as part of code review activities. Resolve escalation tickets from the L2 team as part of the on-call schedule. Working knowledge of API and Postman tool is an added advantage. Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 5+ years of experience in data engineering, with a focus on ETL processes. Proficiency in Matillion, SSIS, Azure DevOps, and ETL. Strong knowledge of SQL, Python, and data integration techniques. Experience with performance optimization and data processing enhancements. Excellent collaboration and communication skills. Ability to work in a fast-paced, dynamic environment. Preferred Skills: Experience with cloud platforms such as AWS or Azure. Knowledge of data warehousing and data modeling. Familiarity with DevOps practices and CI/CD pipelines. Strong problem-solving skills and attention to detail.

Company: Oliver Wyman Description: Boston, Chicago, New York, Dallas, Toronto, Montreal Lead Data Scientist ____ WHO WE ARE Oliver Wyman is a global leader in management consulting. With offices in 50+ cities across 30 countries, Oliver Wyman combines deep industry knowledge with specialized expertise in strategy, finance, operations, technology, risk management, and organizational transformation. Our 4000+ professionals help clients optimize their business, improve their IT, operations, and risk profile, and accelerate their organizational performance to seize the most attractive opportunities. Our professionals see what others don't, challenge conventional thinking, and consistently deliver innovative, customized solutions. As a result, we have a tangible impact on clients’ top and bottom lines. Our clients are the CEOs and executive teams of the top Global 1000 companies. ____ PRACTICE OVERVIEW At Oliver Wyman Digital we partner with clients to deliver breakthrough outcomes for their toughest digital challenges. We blend the power of digital technology with deep industry expertise to tackle disruption and create impact. By building strong capabilities and culture, we accelerate and embed digital transformation. Our people co-create and grow customer-focused solutions that win. We modernize technology and harness value from data and analytics. We build resilience so our clients are ready for tomorrow’s risks and can optimize operations for the future. Above all, we work collaboratively with our clients’ leaders, employees, stakeholders, and customers to jointly define, design, and achieve lasting results. ____ THE ROLE AND RESPONSIBILITIES Our clients drive our projects – and no two OW Digital projects are the same. You’ll be working with varied and diverse teams to deliver unique and unprecedented products across industries. As a Lead Data Scientist , you are primarily responsible for managing technical projects, including data engineering, model selection and design, and infrastructure deployment in both internal and client environments. We want and expect our people to develop deep expertise in a particular industry (financial services, health and life sciences, etc.), but you should be comfortable developing methods and selecting approaches based on a combination of first principles thinking, curiosity, and your pre-built foundations of software engineering and development. As a Data Scientist, you will work alongside Oliver Wyman partners in the Digital and other practice groups, engage directly with clients to understand their business challenges, and craft appropriate solutions to be delivered through collaboration with other OW Digital specialists and consultants. Your responsibilities will include: Exploring data, building models, and evaluating solution performance to resolve core business problems Explaining, refining, and collaborating with stakeholders through the journey of model building Keeping up with your domain’s state of the art & developing familiarity with emerging modelling and data engineering methodologies Advocating application of best practices in modelling, code hygiene and data engineering Leading the development of proprietary statistical techniques, algorithms or analytical tools on projects and asset development Working with Partners and Principals to shape proposals that leverage our data science and engineering capabilities ____ YOUR EXPERIENCE & QUALIFICATIONS You are a well-rounded technologist who brings a wealth of real-world experience and: Technical background in computer science, data science, machine learning, artificial intelligence, statistics, or other quantitative and computational science Compelling track record of designing and deploying large-scale technical solutions, which deliver tangible, ongoing value including: Building and deploying robust, complex production systems that implement modern data science methods at scale, including supervised learning (regression and classification with linear and non-linear methods) and unsupervised learning (clustering, matrix factorization methods, outlier detection, etc.) Leveraging cloud-based infrastructure-as-code (CloudFormation, Bicep, Terraform, etc.) to minimize deployment toil and enabling solutions to be deployed across environments quickly and repeatably Demonstrating comfort and poise in environments where large projects are time-boxed, and therefore consequential design decisions may need to be made and acted upon rapidly Demonstrated fluency in modern programming languages for data science (i.e. at least Python, other expertise welcome), covering the full ML lifecycle (e.g. data storage, feature engineering, model persistence, model inference, and observability) using open-source libraries, including: Knowledge of one or more machine learning frameworks, including but not limited to: Scikit-Learn, TensorFlow, PyTorch, MxNet, ONNX, etc. Familiarity with the architecture, performance characteristics and limitations of modern storage and computational frameworks, with cloud-first considerations for Azure and AWS particularly welcome A history of compelling side projects or contributions to the Open-Source community is valued but not required Solid theoretical grounding in the mathematical core of the major ideas in data science: Deep understanding of a class of modelling or analytical techniques (e.g. Bayesian modeling, time-series forecasting, etc.) Fluency in the mathematical principles and generalizations of data science – e.g., Statistics, Linear Algebra and Vector Calculus Experience presenting at high-impact data science conferences and solid connections to the data science community (e.g., via meetups, continuing relationships with academics, etc.) is highly valued Interest/background in Financial Services, and capital markets in particular, Healthcare and Life Sciences, Consumer, Retail, Energy, or Transportation industries ____ YOUR ATTRIBUTES Our team comprises all sorts of people from all sorts of backgrounds. We don’t care whether you’re loud or quiet, funny, or serious, introverted or extroverted. We do, however, ask that you have: An undergraduate or advanced degree from a top academic program A genuine passion for technology and solving problems A pragmatic approach to solutioning and delivery Excellent communication skills, both verbal and written A clear commitment to creating impactful solutions that solve our clients’ problems The ability to work fluidly and respectfully with our incredibly talented team Willingness to travel for targeted client and/or internal stakeholder meetings ____ OUR VALUES & CULTURE We’re serious about making OW Digital a rewarding, enjoyable, and balanced place to work. Rewarding work We’ve worked hard to earn our reputation for high quality work. That reputation allows us to work with major brands at all levels on incredibly exciting projects. Combine that with Oliver Wyman’s status as one of the Fortune 100 “Best Companies to Work For”, and you get a rewarding combination of challenge, support, and recognition. Progressive employment Flat organizational structures, resolute I&D values, and a commitment to rewarding good work make for a progression path truly based on merit. A menu of healthcare options, 401k matching, and a culture of continuous improvement means your work gets more rewarding over time. Enjoyable days We want our team members to build a career here—and to be happy. That makes us serious about caring for, mentoring, developing, and sponsoring each other.This commitment also leads to opportunities for social impact and community work on company time. Balanced lives Our work is demanding, and we want you to have the best work-life balance you can. We’ll work with you to accommodate your personal life with flexible hours and the ability to work from home. ____ HOW TO APPLY If you like what you’ve read, we’d love to hear from you! You can find this and other roles and submit your CV at https://careers.marshmclennan.com/global/en/oliver-wyman-search. And please include a short note introducing yourself and what you’re looking for. The application process will include both technical testing and team fit interviews. Oliver Wyman is an equal opportunity employer. Our commitment to diversity is genuine, deep, and growing. We’re not perfect, but we’re working hard right now to make our teams balanced, representative and diverse. ____ _ ABOUT OLIVER WYMAN Oliver Wyman is a global leader in management consulting. With offices in more than 70 cities across 30 countries, Oliver Wyman combines deep industry knowledge with specialized expertise in strategy, operations, risk management, and organization transformation. The firm has more than 6,000 professionals around the world who work with clients to optimize their business, improve their operations and risk profile, and accelerate their organizational performance to seize the most attractive opportunities. Oliver Wyman is a business of Marsh McLennan [NYSE: MMC]. For more information, visit www.oliverwyman.com . Follow Oliver Wyman on Twitter @OliverWyman. Marsh McLennan and its Affiliates are EOE Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers. The applicable base salary range for this role is $150,00 to $195,000. The base pay offered will be determined on factors such as experience, skills, training, location, certifications, and education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives. We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs as well as employee assistance programs. Oliver Wyman, a business of Marsh McLennan (NYSE: MMC), is a management consulting firm combining deep industry knowledge with specialized expertise to help clients optimize their business, improve operations and accelerate performance. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit oliverwyman.com, or follow on LinkedIn and X.Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, veteran status (including protected veterans), or any other characteristic protected by applicable law. If you have a need that requires accommodation, please let us know by contacting reasonableaccommodations@mmc.com.Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.

About Slope Slope is building AI-driven underwriting and credit infrastructure to power the future of embedded capital. We partner with leading platforms to help small businesses access financing seamlessly at the point of need. The Role We are looking for a hands-on, full-stack Data Scientist to bridge the gap between raw platform sales data and pre-approval decisions. This role is central to improving how we leverage real-time merchant performance data to automate underwriting and enable instant credit access. You will own the data science foundation that transforms noisy transactional data into actionable signals for credit decisioning. Think of the problems faced by Stripe Capital or Shopify Capital—this is the type of modeling and data product we need to build. What You’ll Do Build and productionize models that map sales and payment data into reliable credit signals and pre-approval pipelines. Develop frameworks to handle fragmented, messy sales data and normalize it for underwriting use. Partner closely with Product, Engineering, and Risk to design pre-approval strategies and continuously improve model accuracy Conduct exploratory analyses to identify leading indicators of merchant growth, default risk, and repayment capacity. Translate insights into tools and dashboards that underwriters and product teams can act on. Establish best practices for experimentation, back-testing, and data validation in underwriting contexts. What We’re Looking For 3–6+ years experience as a Data Scientist, ideally in fintech, lending, or capital products. Hands-on experience with sales/transaction data (e.g., card processing, e-commerce, platform transaction data). Background in underwriting, risk modeling, or capital-as-a-service products (Stripe Capital, Shopify Capital, Square Loans, etc. experience highly valued). Strong modeling and statistical chops: ideally has developed & shipped fraud or credit risk models E2E. Comfortable writing production-quality code (Python, SQL, ideally some familiarity with data pipelines). A bias for action—you enjoy building MVPs and iterating quickly with stakeholders. Excellent communication skills: able to translate technical insights into business outcomes. Nice to Have Experience in credit risk, merchant lending, or BNPL. Familiarity with data architecture for high-volume transactional platforms. Prior startup experience (0→1 or scaling phase). Why Join Us Chance to shape the backbone of Slope’s underwriting engine at a critical growth phase. Work alongside a high-caliber team backed by J.P. Morgan, Sam Altman, and world-class investors. Ownership: as the first dedicated DS IC in this area (sales-data driven underwriting), you’ll set the standard for data science in underwriting at Slope.

Office of the Illinois Secretary of State Alexi Giannoulias Job Title:      Chief Data Officer (Data Systems Administrator) Division:        Administration Union:            N/A Location:       501 S. 2 nd St., Springfield, IL - Sangamon County Salary:           Range $6,904 to $13,522 monthly – commensurate with experience Benefits:         https://cms.illinois.gov/benefits/stateemployee.html Overview: Leads and directs a statewide enterprise data program through subordinate supervisory staff, overseeing technical, professional, and analytical teams responsible for data governance, data architecture, data quality, and enterprise data management activities. This role is responsible for establishing a vision and strategy for data across the organization, ensuring its alignment with business goals, compliance requirements, and enterprise architecture standards. Duties and Responsibilities: Program Leadership and Oversight - Through subordinate supervisors, plans, organizes, directs, and evaluates the work of data analysts, data stewards, architects, and technical staff supporting enterprise data initiatives, including data quality assessment, metadata management, master data management, and governance policy enforcement. Participate in hiring and workforce planning activities for the Enterprise Data Management team. Enterprise Data Governance Frameworks and Standards - Develops and implements procedures, policies, and governance frameworks for enterprise data use across all departments. Establishes standards for data stewardship, metadata, lineage, and classification. Approves or refines recommendations from subordinate staff regarding department-specific data governance implementation, ensuring consistency and scalability across the organization. Strategic Planning and Policy Development - Analyzes and recommends data strategy enhancements and enterprise-wide data management policies to the Department Director. Leads the creation of long-range data plans that support enterprise goals and digital transformation efforts. Identifies data architecture enhancements, oversees enterprise data integration planning, and ensures alignment with statewide technology initiatives. Consultation and Advisory Services - Serves as the enterprise advisor to division managers statewide regarding data strategy, governance adoption, data-driven decision-making, and compliance with regulatory and internal standards. Provides guidance on organizational readiness for advanced analytics, data modernization efforts, and new data technologies. Budgetary and Investment Planning - Provides expert consultation on the development of proposed budgets related to enterprise data systems, platforms, and tools. Reviews and advises on strategic investments in data technology and services, ensuring cost-effectiveness and alignment with data strategy and business needs. Stakeholder Engagement and Communication - Maintains ongoing communication and engagement with department leaders across all divisions to advocate for enterprise data initiatives and educate teams on data governance practices. Leads forums, working groups, and training initiatives to foster a data-literate culture. Maintains contact with external data platform vendors, regulatory bodies, and industry peers to stay informed of data management advancements and opportunities for the Office of the Secretary of State. Performs other duties as required or assigned. Education and Experience: Requires knowledge, skill and mental development equivalent to completion of four years college preferably with courses in computer science, management information systems, mathematics or statistics supplemented by a master's degree in computer science or a related field and two years of managerial experience in a computer-based management information system. Knowledge, Skills and Abilities: Requires thorough knowledge of management information system, data base administration, systems analysis and computer communication systems. Requires thorough knowledge of the principles of organization, management and administration. Requires extensive knowledge of research and statistical procedures, program budgeting and systems modeling. Requires ability to implement program evaluations or system assurance. Requires ability to anticipate and resolve managerial problems. Requires willingness to travel and possession of a valid Illinois driver’s license as required by individual positions within the class. Requires the ability to lift, carry, and push/pull 0-50 lbs. Application Process:  Please visit  https://ilsos.applytojob.gov/apply  to apply by completing the online application; you may also upload a resume or other attachments as needed . Preference will be given to Illinois residents in the hiring and selection process, in accordance with the Illinois Secretary of State Merit Employment Code. Questions regarding this posting or Illinois Secretary of State employment practices may be directed to Job Counselors at our Personnel offices in Chicago (312-793-5515) or Springfield (217-782-4783).     Equal Employment Opportunity Employer. Applicants must be lawfully authorized to work in the United States. Applicants are considered for all positions without regard to race, color, religion, sex, national origin, sexual orientation, age, marital or veteran status, or the presence of a non-job-related medical condition or disability. Powered by JazzHR

Be part of something groundbreaking At AIG, we are making long-term investments in a brand-new, innovative Generative AI team, designed to explore new possibilities for how artificial intelligence can be applied in insurance and beyond, and we need your help. With the support and investment needed to explore new frontiers in Generative AI, you'll be working alongside talented colleagues, innovating and contributing to projects that will transform how we manage risk and serve our customers. This team is central to our vision of the future and the core of our business offering. We will incorporate best-in-class engineering and product management principles, and your contribution will be critical to its success. To rapidly advance and innovate, we need your skills and expertise to build world-class products. If you're excited by the opportunity to create meaningful impact at scale and shape the future of the insurance industry, we'd love to hear from you. Who we are AIG is one of the leading global commercial and personal insurance organizations, with one of the most far-reaching property casualty networks. We provide world-class products and expertise to businesses and individuals in approximately 190 countries and jurisdictions. At AIG, we're reshaping how the world manages risk, and we're inviting you to be a key part of that transformation. As a Data Architect, you'll have the opportunity to make a meaningful impact, leveraging and further developing your skills to guide groundbreaking AI initiatives. If you're looking for a place to grow your career and where your contributions will shape the future, AIG is where you belong. How you will create an impact As a Data Architect, you will drive the development of AIG's data architecture and ontology frameworks, ensuring that our data systems are robust, scalable, and future-proof. You'll shape how data is modeled, integrated, and governed across the organization, helping business applications deliver faster with greater quality and compliance. Your role will be crucial in creating reusable enterprise information assets, and you will collaborate closely with solution architects, product owners, and engineering teams to deliver high-impact business outcomes. This is an opportunity to play a key role in ensuring data architecture supports innovation, compliance, and improved business performance. Your responsibilities include Creating and managing data models and ontologies for large-scale business applications across multiple geographies Assisting the design and integration of enterprise information assets, services, and business systems to ensure efficient data usage and compliance with governance standards Documenting and continuously improving data architecture systems, while educating teams on data governance standards and best practices Collaborating with product owners, engineers, and the Data Governance team to ensure high data quality, security, and privacy compliance across business applications Monitoring market and industry trends in data architecture and applying them to enhance AIG's information lifecycle management and data integration processes What is needed to be successful Data modeling and data analysis experience: You bring expertise in creating complex data models, and have a proven track record of modeling with 3NF, as well as dimensional and Data Vault methodologies, as well as contributing to the data architecture strategy at an enterprise level Strong data analysis, data profiling and SQL skills You have experience with best practices in data governance, security and privacy in modeling and data architecture Strong knowledge of data technologies, data design practices and data integration Passion for integrity and clarity of data Experience with master and reference data management Experience across sub-functional data domain areas such as reporting, analysis, conceptualization and design of data assets across warehouses and marts You are passionate about using the latest technology for data innovation and are excited to use AI and LLM integration to innovate Experience (or certification) with data modeling tools, ETL tools, Snowflake, Dimensional Modeling, Data Vault modeling, ER modeling Experience (or certification) working with NoSQL databases like MongoDB, experience with XML / JSON Solid communication skills - verbal and written AGILE / Rally development experience or training required Experience with (or strong enthusiasm about) AI-driven solutions It would be nice if Experience in Data Warehousing Experience using Snowflake platform You have a good understanding of ontologies Experience with Palantir Foundry or similar tool is highly desired Experience in insurance or financial services is desired Ready to solve bigger problems? We would love to hear from you. Veterans are encouraged to apply. #LI-AIG #LI-CM1 #AI #GenAI #artificialintelligence #DataEngineering #DataMining At AIG, we value in-person collaboration as a vital part of our culture, which is why we ask our team members to be primarily in the office. This approach helps us work together effectively and create a supportive, connected environment for our team and clients alike. Enjoy benefits that take care of what matters At AIG, our people are our greatest asset. We know how important it is to protect and invest in what's most important to you. That is why we created our Total Rewards Program, a comprehensive benefits package that extends beyond time spent at work to offer benefits focused on your health, wellbeing and financial security-as well as your professional development-to bring peace of mind to you and your family. Reimagining insurance to make a bigger difference to the world American International Group, Inc. (AIG) is a global leader in commercial and personal insurance solutions; we are one of the world's most far-reaching property casualty networks. It is an exciting time to join us - across our operations, we are thinking in new and innovative ways to deliver ever-better solutions to our customers. At AIG, you can go further to support individuals, businesses, and communities, helping them to manage risk, respond to times of uncertainty and discover new potential. We invest in our largest asset, our people, through continuous learning and development, in a culture that celebrates everyone for who they are and what they want to become. Welcome to a culture of inclusion We're committed to creating a culture that truly respects and celebrates each other's talents, backgrounds, cultures, opinions and goals. We foster a culture of inclusion and belonging through learning, cultural awareness activities and Employee Resource Groups (ERGs). With global chapters, ERGs are a cornerstone for our culture of inclusion. The talent of our people is one of AIG's greatest assets, and we are honored that our drive for positive change has been recognized by numerous recent awards and accreditations. AIG provides equal opportunity to all qualified individuals regardless of race, color, religion, age, gender, gender expression, national origin, veteran status, disability or any other legally protected categories. AIG is committed to working with and providing reasonable accommodations to job applicants and employees with disabilities. If you believe you need a reasonable accommodation, please send an email to candidatecare@aig.com. Functional Area: DT - Data AIG PC Global Services, Inc.

About xAI xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. Tech Stack Python JAX Rust Spark Location The role is based in the Bay Area [San Francisco and Palo Alto]. Candidates are expected to be located near the Bay Area or open to relocation. Focus Building petabyte-scale, high-throughput data processing systems. Managing workloads across large cloud compute clusters. Pre-processing datasets for AI training. Ideal Experiences Strong engineering skills with passion to improve different aspects of data and model. Has worked on one or more modalities other than text and demonstrated exceptional work. Building bespoke data processing libraries from scratch. Designing and implementing distributed systems in Rust. Keeping up with state-of-the-art techniques for preparing AI training data. Organizing and meticulously bookkeeping data across multiple clouds, of multiple modalities, and from many sources. Interview Process After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15 minute interview ("phone interview") during which a member of our team will ask some basic questions. If you clear the initial phone interview, you will enter the main process, which consists of four technical interviews: Coding assessment in a language of your choice. Systems hands-on: Demonstrate practical skills in a live problem-solving session. Project deep-dive: Present your past exceptional work to a small audience. Meet and greet with the wider team. We don't rely on recruiters for assessments. All interviews will be conducted via Google Meet. Annual Salary Range $180,000 - $440,000 USD Benefits Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

Job Title Canoo Data Platform- Data Engineer About Canoo Canoo's mission is to bring EVs to Everyone and build a world-class team to deploy this sustainable mobility revolution. We have developed breakthrough electric vehicles that are reinventing the automotive landscape with pioneering technologies, award-winning designs, and a unique business model that spans all owners in the full lifecycle of the vehicle. Canoo is starting production and is distinguished by its pioneering and experienced team of technologists, engineers, and designers. With offices around the country, the company is scaling quickly and seeking candidates who love to challenge themselves, are motivated by purpose, and possess a strong desire to get things done. The "Canoo Way" Canoo's success is the direct result of our disciplined application of our core operating principles and drills, which are based on three main principles: Think 80/20 ("Important versus less important"), Act 30/30 ("Reduce waste and increase output"), and Live 90/10 ("We have each other's back"). We hire based on "MET"- Mindset, Equipment and willingness to Train - and seek individuals that take accountability and deliver results being Humble, Hungry to succeed, and Hunting for opportunities to win. We train our team to engage with each other by modulating between their intellect (iQ) and emotional intelligence (eQ) applying Facts, Finesse, and Force when they communicate. The principles and drills of the CANOO Way have been fundamental to our success, our ability to grow, continuously improve, innovate and are at the core of our day-to-day operations. Job Purpose As a Data Engineer, you will be responsible for developing and maintaining highly scalable data pipelines that enable data transformation and load between internal systems, IoT devices (electric vehicles), external backend systems, and frontend user interfaces. You will design and implement data streams ensuring data quality, data integrity, security, and high performance. Additionally, you will collaborate with cross-functional teams to continually integrate all company systems. Responsibilities (80s of the Position) Work with stakeholders to gather data and reporting requirements, to build dashboards and data flows. Create infrastructure-as-code, deployment pipelines, developer tools, and other automations. Understand product requirements, engage with team members and customers to define solutions, and estimate the scope of work required. Deliver solutions that can keep up with a rapidly evolving product in a timely fashion. Required Experience Google Cloud Platform (GCP), GCS, BigQuery Expertise with one or more back-end languages such as Python, Go, TypeScript, JavaScript, etc. SQL expertise- DBT experience a plus. Experience with cloud services like GCP, AWS or Azure. Kafka Dashboarding and Reporting- Superset, Looker Git- BitBucket/Gitlab *Kubernetes- Mid-Level Experience Preferred Experience Python Python dependency management and custom packages Expertise with Google Cloud Platform (GCP) Data Warehousing - partitioning, segmentation Internet of Things (IoT) and MQTT Docker Terraform - experience a plus CI/CD tooling- Jenkins/git-ci Understanding of automotive and embedded software systems Travel Requirements Onsite presence in the office, this is not a remote or hybrid role. Travel may be required on an occasional basis for events such as team meetings or working with manufacturers or subject-matter experts on particular tasks ( Physical Requirements for Non-Physical Positions While performing the duties of this job, employees may be required to sit for prolonged periods of time, occasionally bending or stooping, lifting up to 10 pounds, and prolonged periods of computer use. Reasonable Accommodations Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the position. What's Cool About Working Here... Meaningful, challenging work that will redefine automotive landscape and make EVs available to everyone Comprehensive Health Insurance Equity Compensation Flexible Paid Time Off Casual workplace with an unbelievable feeling of energy Canoo is an equal opportunity-affirmative action employer and considers all qualified applicants for employment based on business needs, job requirements and individual qualifications, without regard to race, color, religion, sex, age, disability, sexual orientation, gender identity or expression, marital status, past or present military service or any other status protected by the laws or regulations in the locations where we operate. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law. Any unsolicited resumes or candidate profiles submitted in response to our job posting shall be considered the property of Canoo Inc. and its subsidiaries and are not subject to payment of referral or placement fees if any such candidate is later hired by Canoo unless you have a signed written agreement in place with us which covers the applicable job posting. Canoo maintains compliance with the OFCCP. As such, please feel free to review the following information: https://www.dol.gov/agencies/ofccp/posters https://www.dol.gov/agencies/olms/poster/labor-rights-federal-contractors If you are a person with a disability needing assistance with the application process, please call (214) 529-8055 or email us at TalentAcquisition@canoo.com Equal Employment Opportunity Posters Equal Employment Opportunity Posters | U.S. Department of Labor (dol.gov)

Site: The Brigham and Women's Hospital, Inc. Mass General Brigham relies on a wide range of professionals, including doctors, nurses, business people, tech experts, researchers, and systems analysts to advance our mission. As a not-for-profit, we support patient care, research, teaching, and community service, striving to provide exceptional care. We believe that high-performing teams drive groundbreaking medical discoveries and invite all applicants to join us and experience what it means to be part of Mass General Brigham. Job Summary The Senior Research Data Analyst/Data Manager will work directly with the Principal Investigators of the centers, as well as other faculty and staff members, to provide data analysis and data management support for clinical research and health policy research focused on from involving musculoskeletal conditions. Data are collected as part of multicenter clinical trials and observational registries. The incumbent will facilitate the data coordination and data analysis aspects of our centers. Primary job functions will include the development of data management systems, pre-processing of complex longitudinal data, oversight of data coordinating center activities with a focus on the following: development of data collection systems; development and maintenance of manuals that document Data Management Procedures; development of the system for data quality assurance; oversight of formulation and dissemination of high-level summary reports on study progress. Additional responsibilities include complex data pre-processing and data analysis, participation in investigators meetings, protocol development, and updating and refining analytic datasets. Please include a cover letter with your application. Qualifications We are presently seeking a full-time Senior Research Data Analyst/Data Manager to work with our internationally recognized, multidisciplinary health policy and clinical outcomes research team at the Orthopaedic and Arthritis Center for Outcomes Research (OrACORe) as well as the Policy and Innovation eValuation in Orthopaedic Treatments (PIVOT) Center, both in the Department of Orthopedic Surgery at Brigham and Women's Hospital and Harvard Medical School. The incumbent will be essential to the research operations of OrACORe/PIVOT and will be an integral member of the centers. PRINCIPAL DUTIES AND RESPONSIBILITIES: Develop, organize, create, and maintain study databases/data collection systems using REDCap Create and run the Data Safety Monitoring Board (DSMB) reports including tables, figures, listings. Collaborate with clinical investigators and senior project biostatisticians in the development and implementation of statistical analysis plans, data analysis, and preparation of tables and figures for study manuscripts. Assist with manuscript review and the validation of data abstractions. Pre-process complex data from national cohort studies, EHR, and hospital-based administrative data Develop, code, run, and distribute reports used in study management, including reports for data querying and cleaning, study monitoring, analyses, and data quality checking. Write code to extract data from the REDCap Electronic Data Capture System and maintain internal data files for use in reporting and analysis Provide user support for REDCap systems for site coordinators and study investigators, including the development of training materials. Collaborate with study coordinators and investigators to resolve data queries in REDCap. Generate custom and/or deidentified datasets for data repositories, ancillary studies, and/or public distribution. Collaborate with statisticians to maintain code base. Create and maintain documentation of datasets and data processes. Work on optimization and automation of coding, reports, and data processes. Collaborate with study staff in developing components of data management systems Additional Job Details (if applicable) QUALIFICATIONS: Bachelor's degree Leadership skills, experience in supervision of data management personnel At least 5 years of experience with database management or data processing/analysis experience High proficiency in statistical computing; SAS programming skills desired Excellent verbal and written communication skills Detail and process oriented Ability to manage multiple projects simultaneously, including both long-term and term and short-term projects Ability to learn to use new software programs SKILLS/ ABILITIES/ COMPETENCIES REQUIRED: Must be flexible to accommodate a diverse work-flow Excellent organizational skills and attention to detail Intellectual independence and initiative Strong analytical skills Ability to work as a team member and independently Proficient with standard office software (Microsoft Word, Excel, and PowerPoint as well as Internet applications) and the ability to learn new computer applications Prior experience with REDcap preferred but not required Interest in public health, biostatistics, epidemiology, health policy, medicine, and/or computer science Remote Type Hybrid Work Location 60 Fenwood Road Scheduled Weekly Hours 40 Employee Type Regular Work Shift Day (United States of America) Pay Range $78,000.00 - $113,453.60/Annual Grade 7 At Mass General Brigham, we believe in recognizing and rewarding the unique value each team member brings to our organization. Our approach to determining base pay is comprehensive, and any offer extended will take into account your skills, relevant experience if applicable, education, certifications and other essential factors. The base pay information provided offers an estimate based on the minimum job qualifications; however, it does not encompass all elements contributing to your total compensation package. In addition to competitive base pay, we offer comprehensive benefits, career advancement opportunities, differentials, premiums and bonuses as applicable and recognition programs designed to celebrate your contributions and support your professional growth. We invite you to apply, and our Talent Acquisition team will provide an overview of your potential compensation and benefits package. EEO Statement: The Brigham and Women's Hospital, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law. We will ensure that all individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. To ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veteran's Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact Human Resources at (857)-282-7642. Mass General Brigham Competency Framework At Mass General Brigham, our competency framework defines what effective leadership "looks like" by specifying which behaviors are most critical for successful performance at each job level. The framework is comprised of ten competencies (half People-Focused, half Performance-Focused) and are defined by observable and measurable skills and behaviors that contribute to workplace effectiveness and career success. These competencies are used to evaluate performance, make hiring decisions, identify development needs, mobilize employees across our system, and establish a strong talent pipeline.

"I can succeed as the Global Director of Software and Data Engineering, Enterprise Data Office" As the Global Director of Software and Data Engineering, Enterprise Data Office (EDO), you will be at the helm of transforming how Capital Group leverages data to launch new products and investment strategies to the market and drive strategic growth. You will inspire and lead high-performing engineering teams to build innovative, scalable, and resilient software and data solutions that empower our global Operating Groups, including Investment Operations, ITG, and Global Finance, and the many stakeholders in the Investment Group and Client Groups they serve. You will lead in areas that are critical to Capital Group's market success, including product data management, client-facing data, and marketing/publishing data automation. This role is a unique opportunity to shape the future of both software and data engineering at Capital Group-where creativity meets strategy, and fun is part of the journey. You will partner with senior leaders across the enterprise to align technology investments with business priorities, champion a culture of engineering excellence, and foster an environment where diverse perspectives and continuous learning thrive. "I am the person Capital Group is looking for" You are a visionary leader who will inspire a team of 100+ associates and contractors to innovate and deliver with purpose. You have a proven track record of leading large-scale engineering organizations, complex initiatives that require transformational change, and developing future leaders. You foster a culture of inclusion, collaboration, and continuous improvement, instilling engineering rigor and discipline in your teams. You are a strategic thinker who connects the dots between strategic business outcomes and data and technology solutions. You demonstrate clear vision and experience in delivering user experiences and apps that delight end users and make data accessible in compelling and dynamic manners You lead with empathy and empower teams to take ownership and drive results. You are passionate about modern engineering practices, AI and data-driven decision making in fast paced organizations. You are a demonstrated leader, preferably with deep experience in Asset Management, with expertise in product data and analytics, Investment Operations and market-facing demands. You are a strong communicator who builds trust and alignment across diverse stakeholder groups, employing strong relationship management and influence. You thrive in a dynamic environment and are energized by solving the most complex challenges facing the Buy Side Asset Management industry. You present plans clearly to executives, including the EDO Leadership team, linking them to broader strategies and promoting partnership. You are excited to shape the future of EDO's structure, processes and operating model in a way that provides clarity and reinforces accountability. Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field. 15+ years of experience in software and data engineering or AI/data science, with at least 5 years in senior leadership roles. Demonstrated success in leading global, cross-functional engineering teams. Deep expertise in modern data and software engineering platforms and practices (e.g., cloud-native architectures, modern application design, CI/CD, DevOps, data mesh). Experience driving enterprise-wide technology transformations and delivering measurable business impact. Strong expertise in the Financial Services and Asset Management industries and ability to influence at all levels of the organization. Commitment to developing talent and building high-performing, diverse teams. Experience with platforms and tools such as AWS, Azure, Python, Spark, Airflow, Kubernetes, DBT, Databricks, and modern front-end frameworks. Southern California Base Salary Range: $254,648-$432,902 New York Base Salary Range: $269,961-$458,934 In addition to a highly competitive base salary, per plan guidelines, restrictions and vesting requirements, you also will be eligible for an individual annual performance bonus, plus Capital's annual profitability bonus plus a retirement plan where Capital contributes 15% of your eligible earnings. You can learn more about our compensation and benefits here. Temporary positions in Canada and the United States are excluded from the above mentioned compensation and benefit plans. We are an equal opportunity employer, which means we comply with all federal, state and local laws that prohibit discrimination when making all decisions about employment. As equal opportunity employers, our policies prohibit unlawful discrimination on the basis of race, religion, color, national origin, ancestry, sex (including gender and gender identity), pregnancy, childbirth and related medical conditions, age, physical or mental disability, medical condition, genetic information, marital status, sexual orientation, citizenship status, AIDS/HIV status, political activities or affiliations, military or veteran status, status as a victim of domestic violence, assault or stalking or any other characteristic protected by federal, state or local law.

About Convatec Pioneering trusted medical solutions to improve the lives we touch: Convatec is a global medical products and technologies company, focused on solutions for the management of chronic conditions, with leading positions in Advanced Wound Care, Ostomy Care, Continence Care, and Infusion Care. With more than 10,000 colleagues, we provide our products and services in around 90 countries, united by a promise to be forever caring. Our solutions provide a range of benefits, from infection prevention and protection of at-risk skin, to improved patient outcomes and reduced care costs. Convatec's revenues in 2024 were over $2 billion. The company is a constituent of the FTSE 100 Index (LSE:CTEC). To learn more please visit http://www.convatecgroup.com Pioneering trusted medical solutions to improve the lives we touch: Convatec is a global medical products and technologies company, focused on solutions for the management of chronic conditions, with leading positions in Advanced Wound Care, Ostomy Care, Continence Care, and Infusion Care. With more than 10,000 colleagues, we provide our products and services in around 90 countries, united by a promise to be forever caring. Our solutions provide a range of benefits, from infection prevention and protection of at-risk skin, to improved patient outcomes and reduced care costs. Convatec's revenues in 2024 were over $2 billion. The company is a constituent of the FTSE 100 Index (LSE:CTEC). To learn more please visit http://www.convatecgroup.com Position Overview: The Senior Manager of Clinical Data Management & Analytics (Sr. Manger, CDMA) is accountable for all clinical data management and data analytics activities in support of the clinical portfolio. This includes, but is not limited to, execution and ownership of the Clinical Data Management (CDM) and Clinical Data Analytics (CDA) operating models, oversight of internal staff, and cross-functional leadership for the delivery of high quality and reliable clinical data to enable internal decision making, regulatory approval, and market acceptance. The Sr. CDMA interacts with senior level management, collaboration partners and provides cross functional strategic direction and is accountable for building and managing the Clinical Data Management and Data Analytics teams across functions to identify risks and opportunities as well as innovative approaches to clinical data management and data analytics. The Sr. CDMA is critical to the success of our clinical trials and the integrity of data that supports regulatory submissions and decision-making. Key Responsibilities: Establishing and driving global data management and data analytics strategy related to resourcing, technologies and processes to increase efficiency, innovation and data quality. Leading the global data management and data analytic functions to provide data collection, cleaning, and integration expertise in support of global development projects including all disease areas and business units; ensure functional strategy supports the clinical portfolio priorities while also remaining close to the business and clinical portfolio. Building efficient and compliant processes to support regulatory inspections. Ability to effectively structure a data management / data analytics organization to manage the anticipated growth in the global product pipeline. Authority (if applicable): Manage vendors contracted to support the data management and data analytics (i.e. data management vendors, biostatisticians, etc.) services needed to support data management and data analytical milestones for Convatec clinical trials. Skills & Experience: Key competencies and characteristics needed to help build our diverse, inclusive culture and to be successful in the role. Examples include: Ability to build and scale high-performing global data management teams while ensuring regulatory compliance and data integrity. Ability to combine strategic leadership with technical expertise to optimize clinical data management processes and drive organizational growth. Collaborate with Head of Clinical Operations and other key members (as needed) to elevate the Clinical Data Management and Data Analytics function at Convatec. Overseeing the collection, validation, processing and analyzing of clinical trial data. Developing and implementing data management and data analytic standard operating procedures for clinical trials. Supporting and facilitating the review of medical coding for validity and completeness. Maintain the highest data quality standards throughout the data lifecycle, from data collection to data analysis. Stay updated on industry best practices, technological advancements and regulatory requirements related to clinical data management and data analytics. Develop and maintain data management and data analytics study documentation, including (but not limited to) clinical study protocols, statistical analysis plans, case report forms and data management plans. Oversee the designing of case report forms (CRFs) and electronic data capture (EDC) systems for data collection. Ensure compliant cleaning activities, including discrepancy management and query resolution practices are in place. Oversee data validation checks and implement quality control measures to ensure accuracy and completeness. Collaborate, as needed, with study team leaders to resolve data-related issues and discrepancies that have been escalated. Review data listings, summaries and reports to ensure accuracy and quality standards are met for all clinical study reports. Serve as a primary or backup resource for issues about data management and data analytics. Ensure compliance with guidelines, Good Clinical Practice (GCP), CDISC standards and other relevant regulations. Contribute to the development and validation of data management software tools. Oversee the data analytics for Convatec clinical trials to ensure data analyses are performed on time and within budget. Collaborate with the Head of Clinical Operations (and Clinical Study Managers, as applicable) in leading the data analytics for the various clinical trials to ensure robust analyses are conducted per protocol and to identify patterns in the data (trends) and improve processes. Qualifications/Education: Bachelor's degree in a scientific or healthcare-related field or a computer science degree or equivalent professional certification. 8-10 years of experience in clinical data management or a similar role in the medical device or clinical research industry. Proven track record of building and scaling high-performing global data management teams while ensuring regulatory compliance and data integrity. Strong understanding of clinical trial processes, data management principles and regulatory guidelines. Proficiency in electronic data capture (EDC) systems and clinical data management software. Experience with Veeva is a plus! Familiarity with relevant regulations and guidelines, like GCP and CDISC standards. Knowledge of industry-standard data analysis and reporting software, such as SAS, SQL and/or Oracle Clinical. Excellent attention to detail with problem-solving and analytical skills. Strong organizational and time management abilities. Team: 6-8 direct reports Principal Contacts & Purpose of Contact: MACA (internal) - influence strategy, make recommendations and exchange information. Hospitals & Physicians (external) - may assist clinical sites in data completion activities that are escalated to management. Travel Requirements This position requires minimal to no travel. Travel up to 5% of the time may be required to attend departmental or company meetings which may require overnight travel; however, these meeting would be 1-2 times per year. Languages Speaking: Yes English Writing/Reading: Yes English Working Conditions Remote Working Ready to join us? At Convatec, we're pioneering trusted medical solutions to improve the lives we touch. If you're ready to make a real impact, apply today and help us bring our Forever Caring promise to life. #LI-KM1 #LI-Remote Beware of scams online or from individuals claiming to represent Convatec A formal recruitment process is required for all our opportunities prior to any offer of employment. This will include an interview confirmed by an official Convatec email address. If you receive a suspicious approach over social media, text message, email or phone call about recruitment at Convatec, do not disclose any personal information or pay any fees whatsoever. If you're unsure, please contact us at careers@Convatec.com. Equal opportunities Convatec provides equal employment opportunities for all current employees and applicants for employment. This policy means that no one will be discriminated against because of race, religion, creed, color, national origin, nationality, citizenship, ancestry, sex, age, marital status, physical or mental disability, affectional or sexual orientation, gender identity, military or veteran status, genetic predisposing characteristics or any other basis prohibited by law. Notice to Agency and Search Firm Representatives Convatec is not accepting unsolicited resumes from agencies and/or search firms for this job posting. Resumes submitted to any Convatec employee by a third party agency and/or search firm without a valid written and signed search agreement, will become the sole property of Convatec. No fee will be paid if a candidate is hired for this position as a result of an unsolicited agency or search firm referral. Thank you. Already a Convatec employee? If you are an active employee at Convatec, please do not apply here. Go to the Career Worklet on your Workday home page and View "Convatec Internal Career Site - Find Jobs". Thank you!

Job Family: Data Science Consulting Travel Required: Up to 25% Clearance Required: Ability to Obtain Public Trust What You Will Do: We are seeking an experienced Data Warehouse Architect to join our growing AI and Data practice, with a dedicated focus on the Federal Civilian Agencies (FCA) market within the Communities, Energy & Infrastructure (CEI) segment. This individual will be a hands-on technical leader, responsible for designing and delivering modern data warehouse solutions that enable federal clients to achieve mission outcomes, operational efficiency, and digital transformation. This is a strategic delivery role for someone who thrives at the intersection of data architecture, cloud platforms, and public sector modernization. The Data Warehouse Architect will collaborate with cross-functional teams and client stakeholders to modernize legacy environments, implement scalable data pipelines, and support advanced analytics initiatives. Client Leadership & Delivery Serve as a trusted technical advisor to FCA clients on data architecture and modernization strategy. Lead engagements from assessment through implementation, ensuring delivery excellence and measurable outcomes. Translate complex business and technical requirements into actionable data warehouse solutions using platforms such as Databricks, Tableau, and Azure/AWS/GCP. Solution Development & Innovation Architect and implement scalable data pipelines and models using Databricks and other modern platforms. Rationalize legacy BI environments and design future-state architectures aligned with client goals. Ensure compliance with federal data governance, security, and performance standards. Practice & Team Leadership Mentor and guide multidisciplinary teams including data engineers, analysts, and consultants. Support recruiting, onboarding, and talent development within the AI & Data practice. Foster a culture of innovation, collaboration, and continuous learning. What You Will Need: US Citizenship is required Bachelor's degree is required. Minimum SEVEN (7) years of experience in data architecture, data engineering, and analytics. Minimum FIVE (5) years of experience delivering data-driven transformation programs. Strong understanding of data platforms including Databricks, Tableau, and cloud environments (Azure, AWS, GCP). Demonstrated experience supporting the business development lifecycle, including capture and proposal activities. Proven track record of leading large-scale data modernization efforts from concept to execution. Ability to collaborate across technical and business audiences, from C-suite to engineering teams. Excellent communication, facilitation, and relationship-building skills. What Would Be Nice To Have: Master's Degree. Certifications in AI/LLM or cloud data platforms. Experience working with FCA clients such as DOT, GSA, USDA, or similar. Familiarity with federal contracting and procurement processes. The annual salary range for this position is $149,000.00-$248,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Work with a nationally ranked CPA and advisory firm that is passionate for what's next. Aprio has 30 U.S. office locations, one in the Philippines and more than 2,100 team members that speak 60+ languages across the globe. By bringing together proven expertise, deep understanding, and strategic foresight for fast-growing industries, Aprio ensures clients are prepared for wherever life or business may take them. Discover a top-rated culture, vast growth opportunities and your next big career move with Aprio. Join Aprio's Information Technology team and you will help clients maximize their opportunities. Aprio is a progressive, fast-growing firm looking for a Data Engineer, IT Data Services to join their dynamic team. Position Responsibilities Data Architecture & Storage Design scalable, secure, and high-performing data solutions aligned to business needs Create robust data models, flows, and storage using Microsoft Fabric and Azure SQL Manage master data with Profisee and integrate with existing systems Data Integration & Transformation Build and manage data pipelines using Azure Data Factory and related tools Ingest data from APIs and external systems into the Azure ecosystem Implement ETL/ELT logic to prepare data for consumer use Testing, Monitoring & Optimization Ensure data quality, consistency, and integrity across all stages Troubleshoot performance issues and fine-tune data pipelines Use Azure monitoring tools and Purview for data estate management Advanced Analytics & Reporting Develop OLAP cubes and tabular models with SSAS Write complex MDX and DAX queries for data analysis Integrate data models with Power BI, Excel, and SSRS for reporting Collaboration & Documentation Work closely with analysts, developers, and business leaders to translate needs into data-driven solutions Document architectures, processes, and provide support/training as needed Participate in Agile sprints and contribute to continuous improvement Qualifications 5+ years of experience in data engineering, database development, or architecture Proficiency with SQL, NoSQL, and lakehouse architecture Master data management using Profisee software Management of data estate using Purview software Deep knowledge of Azure services: ADF, Fabric, Synapse, Data Lake, Purview, etc. Experience with master data management (Profisee preferred) Strong understanding of data privacy, security, and API integration Hands-on experience with SSAS (tabular & OLAP models), MDX, and DAX Experience managing performance, data pipelines, and complex data models Bachelor's or Master's degree in Computer Science, Data Science, Information Technology, or equivalent experience Nice to Have Experience with Airbyte, DBT, or data virtualization Familiarity with accounting or financial services environments Knowledge of basic AI/ML concepts and model lifecycle Certifications in Azure, Power BI, or data-related fields Project management or Agile team experience Perks/Benefits we offer for full-time team members: Wellness program HMO coverage Rewards and Recognition program Free shuttle service (provided by CDC | for onsite employees) Free lunch meal (For onsite employees) On-demand learning classes Discretionary time off and Holidays Performance-based salary increase Discretionary incentive compensation based on client or individual performance Hybrid set up to selected roles/location, terms and conditions may apply CPA & Certification Assistance and Bonus Program What's in it for you: Working with an industry leader: Be part of a high-growth firm that is passionate for what's next. A great team: Work with a high-energy, passionate, caring, and ambitious team of professionals in a collaborative culture. Growth opportunities: Grow professionally in an environment that fosters continuous learning and advancement. Competitive compensation: You will be rewarded with competitive compensation. EQUAL OPPORTUNITY EMPLOYER Aprio is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race; color; religion; national origin; sex; pregnancy; sexual orientation; gender identity and/or expression; age; disability; genetic information, citizenship status; military service obligations or any other category protected by applicable federal, state, or local law.

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. The NVIDIA Operations organization is seeking an expert technology professional for the position of Senior Data Engineering to support initiatives for the Operations Data Platform, Reporting, and Analytics Organization. As a Data Engineering Developer in our team, you will be an integral part of the team in Operations building the Quality Platform which will turn data into information leading to insights and business results. What you'll be doing: Implement End-to-End Quality Data platform solutions for our Datacenter products. Build data pipelines that are used to transport data from a data source to the data lake. Analyze and organize raw data Build data systems and pipelines ensuring that data sources, ingestion components, transformation functions, and destination are well understood for implementation Interpret trends and patterns by performing complex data analysis Prepare data for prescriptive and predictive modeling by making sure that the data is complete, has been cleansed, and has the necessary rules in place Build algorithms and prototypes Develop analytical tools and programs Collaborate with data scientists and architects on projects Evaluate business needs and objectives to ensure the organization can access the raw data What we need to see: Bachelor's or master's degree (or equivalent experience) in computer science or information system, or equivalent experience with programming knowledges (i.e Python, Java, etc) 8+ years of experience in data and database management that includes data pipeline responsibilities in replication and mass ingestion, streaming, API and application and data integration. Experience developing and maintaining data warehouses in big data solutions. Experience with several ecosystems like Azure, AWS, and Hadoop environments. You have built required infrastructure for optimal extraction, transformation, and loading of data from various sources using AWS, Azure, SQL or other technologies. Knowledgeable in Databricks, Splunk, or Snowflake solutions Knowledge of data analytics/mining and segmentation techniques Communicate effectively with business users and translate business needs into technology solutions Ability to connect with all team members successfully and effectively. High energy with positive problem-solving attitude, and multi-task and strong organization skills. Strong analytical skills with the ability to collect, organize, and disseminate significant amounts of information with attention to detail and accuracy Knowledge in operational processes in semi-chips, boards, systems, and servers with a view of data landscape. Ways to stand out from the crowd: Strong ability to drive continuous improvement of systems and processes. Self-starter, self-confident individual with integrity and accountability, highly motivated, driven, high-reaching, and attracted to a meaningful opportunity. A proven ability to work in a fast-paced environment where strong organizational skills are essential. With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most experienced and dedicated people in the world working for us and, due to unprecedented growth, our elite engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology leadership, we want to hear from you. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until October 14, 2025. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for.  About the Role The New York Times is looking for a senior data engineer to join the Customer-Facing Data Products team to develop real-time data pipelines and APIs that process events and serve aggregated data for customer-facing use cases. You will report to the Engineering Manager for the Customer-Facing Data Products team and build widely reusable solutions to help partner teams solve our most important real-time needs, including behavioral and targeting use cases. This is a hybrid role based in our New York City headquarters. Responsibilities Develop real-time data pipelines using Apache Kafka, Apache Flink, and other streaming technologies. Ingest and organize structured and unstructured data for widespread reuse across patterns. Implement mechanisms to ensure data quality, observability and governance best practices. Collaborate with software engineers and infrastructure teams to improve pipeline performance and integrate solutions into production environments. Stay current with latest technologies, keeping up with the latest advancements in streaming data processing and related technologies. Grow the skills of colleagues by providing clear technical feedback through pairing, design, and code review. Experience collaborating with product and partners to meet shared goals. Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world. Basic Qualifications: 5+ years of full-time data engineering experience shipping real-time solutions with event-driven architectures and stream-processing frameworks. Experience with AWS and their service offerings and tools. Understanding of modern API design principles and technologies, including REST, GraphQL, and gRPC for data serving. Programming fluency with Python. Experience using version control and CI/CD tools, such as Github and Drone. Preferred Qualifications: Experience developing pipelines with Apache Kafka, Apache Flink, or Spark Streaming. Experience with SQL and building APIs with GoLang and Protobuf. Understanding of cloud-native data platform technologies including data lakehouse and medallion architectures. REQ-018499 The annual base pay range for this role is between: $140,000 — $155,000 USD   The New York Times Company is committed to being the world’s best source of independent, reliable and quality journalism. To do so, we embrace a diverse workforce that has a broad range of backgrounds and experiences across our ranks, at all levels of the organization. We encourage people from all  backgrounds to apply. We are  an Equal Opportunity Employer and do not discriminate on the basis of an individual's sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation or affectional preference, gender identity and expression, disability, genetic trait or predisposition, carrier status, citizenship, veteran or military status and other personal characteristics protected by law. All applications will receive consideration for employment without regard to legally protected characteristics.  The U.S. Equal Employment Opportunity Commission (EEOC)’s Know Your Rights Poster is available here .  The New York Times Company will provide reasonable accommodations as required by applicable federal, state, and/or local laws. Individuals seeking an accommodation for the application or interview process should email reasonable.accommodations@nytimes.com. Emails sent for unrelated issues, such as following up on an application, will not receive a response. The Company will further consider qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable "Fair Chance" laws.  For information about The New York Times' privacy practices for job applicants click  here . Please beware of fraudulent job postings. Scammers may post fraudulent job opportunities, and they may even make fraudulent employment offers. This is done by bad actors to collect personal information and money from victims. All legitimate job opportunities from The New York Times will be accessible through The New York Times careers site . The New York Times will not ask job applicants for financial information or for payment, and will not refer you to a third party to do so. You should never send money to anyone who suggests they can provide employment with The New York Times. If you see a fake or fraudulent job posting, or if you suspect you have received a fraudulent offer, you can report it to The New York Times at NYTapplicants@nytimes.com. You can also file a report with the Federal Trade Commission or your state attorney general .  

Senior Data Analyst At Current, we’re on a mission to enable our members to create better financial outcomes for themselves. Headquartered in NYC, we’re a leading U.S. fintech and one of the fastest growing companies with over million members. No matter your title, we welcome everyone to build great products, grow quickly, and make an impact together. ABOUT THE ROLE We are looking for a Senior Data Analyst with experience in B2C/DTC Member Experience or Customer Success. In this role, you will use data to drive strategic decisions, improve business performance, and enhance our customer interactions to create a seamless user experience. You will use advanced analytics to find trends, evaluate performance, and deliver strategic insights that facilitate data-driven decision-making within the Member Experience team and across the organization. The ideal candidate has a deep understanding of customer behavior, a passion for data-driven decision-making, and a proven ability to translate insights into actionable strategies. RESPONSIBILITIES Analyze member experience data to identify trends, pain points, and opportunities for operational efficiency. Develop and maintain data pipelines, dashboards and reports to track key performance indicators (KPIs) that tie customer success effectiveness, member satisfaction, and engagement to business bottomline metrics. Utilize internal and third-party data to conduct in-depth analyses, identify gaps, mitigate friction and pain points, and optimize customer interaction across channels. Partner with cross-functional teams, including Product, Engineering, and Customer Success, and leverage such techniques as A/B testing and customer segmentation to enhance personalization and support strategies. Provide actionable insights to leadership on customer outreach behavior, support efficiency and satisfaction, and areas for innovation. Ensure data integrity, accuracy, and governance in analytics pipelines across multiple customer interaction channels. Participate in on-call rotation to support production analytics data pipelines. Mentor junior analysts and contribute to a data-driven culture within the team. ABOUT YOU 5+ years of experience in data analytics, preferably in fintech, banking, or a customer-centric industry. Strong proficiency in SQL, Python, or R for data analysis and manipulation. Experience building reports and dashboards using data visualization tools such as Tableau, Looker, or Power BI. Expertise in customer support analytics, customer satisfaction score (CSAT) analysis, and operational efficiency metrics. Experience in A/B testing, customer segmentation, and deep dive analysis in the context of informing business strategies from user behaviors. Excellent problem-solving skills and the ability to translate complex data into actionable insights. Strong communication skills to effectively collaborate with technical and non-technical stakeholders. Strong project ownership and the ability to drive requirement gathering and prioritization. Experience with CRM systems (e.g., Zendesk) and customer feedback tools is a plus. Experience within the startup space is advantageous. Additional Skills and Qualifications Experience with Looker or other business intelligence tools is preferred. Exposure to dimensional modeling concepts to power meaningful analytics. Ability to visualize data effectively and communicate insights clearly and concisely. Experience modeling data using dbt. Familiarity with machine learning techniques and predictive analytics is a plus. Experience working with Fintech, banks or a B2C company. This role has a base salary range of $150,000 - $200,000. Compensation is determined based on experience, skill level, and qualifications, which are assessed during the interview process. Current offers a competitive total rewards package which includes base salary, equity, and comprehensive benefits. BENEFITS Competitive salary Stock options 401(k) savings plan Discretionary performance bonus program Biannual performance reviews Medical, Dental and Vision premiums covered at 100% for you and your dependents Unlimited time off and paid holidays Generous parental leave policy Commuter benefits Healthcare and Dependent care FSA benefit Employee Assistance Programs focused on mental health Healthcare advocacy program for all employees Access to mental health apps Team building activities Our modern Chelsea-based office with open floor plan, stocked kitchen, and catered lunches

C3 AI (NYSE: AI), is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise. Learn more at: C3 AI As a Data Scientist / Senior Data Scientist – Federal Optimization, you will partner with some of the largest and most mission-critical organizations in the world to design and deliver the next generation of AI-powered enterprise applications. Our team focuses on developing scalable, explainable optimization models and algorithms tailored to federal use cases across domains such as logistics, operations, resource planning, and more. You’ll work cross-functionally with data scientists, engineers, subject matter experts, and federal stakeholders to deliver full-lifecycle solutions: from translating client input into soft and hard constraints, to deploying robust, production-grade optimization tools on the C3 AI Suite. Qualified candidates should possess deep expertise in operations research and optimization. This role requires US Citizenship. Responsibilities: Research, design, implement, and deploy optimization solutions for enterprise applications leveraging the C3 AI Suite. Transform client requirements into mathematical formulations. Partner with cross-functional teams to translate optimization model insights into actionable strategies and measurable outcomes. Assist and enable federal customers to build their own optimization applications on the C3 AI Suite. Develop, maintain, and enhance optimization frameworks, libraries, and tools to ensure scalability and efficiency while contributing to the continuous improvement of the C3 AI Suite. Stay informed on state-of-the-art optimization techniques, promote best practices, and foster an innovative and collaborative work environment at C3 AI. Qualifications: U.S. Citizenship (and willingness to obtain a security clearance). Bachelor’s in computer science, Electrical Engineering, Statistics, Operations Research or equivalent fields. Strong foundation in optimization techniques (e.g., LP, MILP, MINLP) and solvers. Strong mathematical foundation (linear algebra, calculus, statistics, probability). Proficiency in Python and experience with mathematical programming libraries. Excellent communication skills and ability to work independently or in teams. Motivated, curious, and eager to learn about federal mission domains. Preferred Qualifications: MS or PhD in Operations Research, Applied Mathematics, Computer Science, Industrial Engineering, or a related field. Active TS/SCI with CI or Full-Scope Polygraph. Professional experience applying optimization in federal or customer-facing environments. Familiarity with commercial solvers (e.g., Gurobi), Git, and GenAI tools. Understanding of machine learning, deep learning, or reinforcement learning. Portfolio of relevant projects or publications. C3 AI provides a competitive compensation package and excellent benefits. Candidates must be authorized to work in the United States without the need for current or future company sponsorship. C3 AI is proud to be an Equal Opportunity and Affirmative Action Employer. We do not discriminate on the basis of any legally protected characteristics, including disabled and veteran status. 

C3 AI (NYSE: AI), is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise. Learn more at: C3 AI As a member of the C3 AI Data Science team, you will work with some of the largest companies on the planet helping them build the next generation of AI-powered enterprise applications on the  C3 AI Suite . You will work directly with data scientists, software engineers, and subject matter experts in the definition of new analytics capabilities able to provide our customers with the information they need to make proper decisions and enable their digital transformation. You will help find the appropriate machine learning / data mining algorithms to answer those questions and implement those on the C3 AI Suite so they can run at scale. C3 AI Data Scientists are equipped with modern development tools, IDEs, and AI agents to maximize productivity and accelerate solution delivery.   Qualified candidates will have an in-depth knowledge of most common machine learning techniques and their application. You will also understand the limitations of these algorithms and how to tweak them or derive from them to achieve similar results at large-scale. Note: This is a client-facing position which requires travel. Candidates should have the ability and willingness to travel based on business needs. Responsibilities: Driving adoption of Deep Learning systems into next generation of C3 AI products. Designing and deploying Machine Learning algorithms for industrial applications such as fraud detection and predictive maintenance. Collaborating with data and subject matter experts from C3 AI and its customer teams to seek, understand, validate, interpret, and correctly use new data elements. Qualifications: MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields. Applied Machine Learning experience (regression and classification, supervised, and unsupervised learning).  Experience with prototyping languages such as Python and R. Strong mathematical background (linear algebra, calculus, probability, and statistics). Experience with scalable ML (MapReduce, streaming). Ability to drive a project and work both independently and in a team. Smart, motivated, can-do attitude, and seeks to make a difference. Excellent verbal and written communication. Ability to travel as needed  Preferred Qualifications: Experience with JavaScript and Java. Experience with time series and dynamical systems. A portfolio of projects (GitHub, papers, etc.). Experience working with modern IDEs and AI agent tools  as part of accelerated development workflows. C3 AI provides excellent benefits, a competitive compensation package and generous equity plan.  New York Base Pay Range $123,000 — $185,000 USD C3 AI is proud to be an Equal Opportunity and Affirmative Action Employer. We do not discriminate on the basis of any legally protected characteristics, including disabled and veteran status.