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Company: Marsh McLennan Agency Description: Our not-so-secret sauce. Award-winning, inclusive, Top Workplace culture doesn't happen overnight. It's a result of hard work by extraordinary people. The industry's brightest talent drive our efforts to deliver purposeful work and meaningful impact every day. Learn more about what makes us different and how you can make your mark as a Data Lead at MMA. Marsh McLennan Agency (MMA) provides business insurance, employee health & benefits, retirement, and private client insurance solutions to organizations and individuals seeking limitless possibilities. With offices across North America, we combine the personalized service model of a local consultant with the global resources of the world's leading professional services firm, Marsh McLennan (NYSE: MMC). A day in the life. As the Data Lead, you will be at the forefront of our data strategy, responsible for overseeing the collection, management, and analysis of data across MMA. In this role, you will establish best practices for data governance and ensure that our data initiatives align with business objectives, driving insights and informed decision-making throughout the organization. You will collaborate closely with cross-functional teams, including IT and operations, to identify data needs and translate them into actionable strategies. Your leadership will be crucial in guiding your team through the entire data lifecycle, from data acquisition and cleaning to analysis and reporting. In addition to mentoring and empowering your team, you will foster a culture of data-driven decision-making and continuous improvement. Staying abreast of emerging technologies and industry trends, you will evaluate new tools and methodologies to enhance our data capabilities and drive operational efficiency. Our future colleague. We'd love to meet you if your professional track record includes these skills: Leadership Experience: Proven experience leading data management and analytics teams, with a focus on delivering high-quality insights and solutions that drive business impact. Enterprise Data Understanding: High-level understanding of enterprise data needs, along with a general knowledge of data architecture to facilitate collaboration with IT. Data Governance Expertise: Strong knowledge of data governance frameworks, data quality standards, and best practices in data management to ensure compliance and data integrity. Analytical Tools Proficiency: Experience with data analytics tools and programming languages (e.g., SQL, Python, R), as well as familiarity with data visualization tools (e.g., Tableau, Power BI) to effectively communicate insights. Stakeholder Collaboration: Ability to collaborate with both technical and non-technical stakeholders, effectively communicating complex data concepts and analytical findings in a clear and actionable manner. Modern Data Technologies: Proficiency in modern data storage technologies (e.g., SQL, NoSQL) and experience with cloud data platforms (e.g., AWS, Azure) to leverage scalable data solutions. Problem-Solving Skills: Strong problem-solving skills, with a proven track record of identifying and resolving complex data challenges to enhance operational efficiency. Data Standards and Security: Experience in establishing and enforcing data standards, security protocols, and performance benchmarks to protect organizational data assets. Continuous Improvement Mindset: A commitment to fostering a culture of continuous improvement and data-driven decision-making within the organization, encouraging team members to innovate and refine processes. These additional qualifications are a plus, but not required to apply: Bachelor's degree in Data Science, Computer Science, Information Technology, or a related field; Master's degree preferred. 15+ years of experience in data management, analytics, or a related field, with a focus on leadership roles. We know there are excellent candidates who might not check all of these boxes. Don't be shy. If you're close, we'd be very interested in meeting you. Valuable benefits. We value and respect the impact our colleagues make every day both inside and outside of work. Our culture promotes colleague well-being through robust benefits programs and resources, professional and personal development opportunities, and fulfillment through meaningful work. Some benefits included in this role are: Generous time off, including personal and volunteering Tuition reimbursement and professional development opportunities Remote work Charitable contribution match programs Stock purchase opportunities To learn more about a career at MMA, check us out our website or flip through recruiting brochure. Follow us on social media to meet our colleagues and see what makes us tick: Instagram Facebook X LinkedIn Who you are is who we are. We embrace a culture that celebrates and promotes the many backgrounds, heritages and perspectives of our colleagues and clients. We are always seeking those with ethics, talent, and ambition who are interested in joining our client-focused teams. Marsh McLennan and its affiliates are EOE Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers. The applicable base salary range for this role is $119,500 to $209,200. The base pay offered will be determined on factors such as experience, skills, training, location, certifications, education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives. We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs as well as employee assistance programs. Applications will be accepted until: June 16, 2025

Sr. Data Specialist Employment Type: Full-Time, Mid-Level /p> Department: Data Science As a Data Specialist for CGS you will help our government client in processing data using LAW. The ideal candidate will regularly load large volumes of production data; running exports from the database for creating discovery party productions. Downloading files from our file sharing tool, JEFS, and performing quality control on load and export files to ensure accuracy is vital to this job position. CGS brings motivated, highly skilled, and creative people together to solve the government's most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success: Modify load files and perform quality control on loaded data quickly and accurately Assist with creating and updating document processing procedures as needed Run multiple load streams simultaneously Perform native file processing in LAW Export data from Relativity to create load files for other various platforms as requested by Case Manager Performs data conversion processing, including conversions of various document types Perform special format data conversions and file manipulation requests Handle quality control on load files and Relativity data loads and exports Perform advanced requests, such as creating data exports for productions and performing quality control on files, and complicated overlays or appends, privilege clawbacks, and sequestration of documents Perform quality control to confirm accuracy on loads completed by new Data Specialists Provide hands-on training to other Data Specialist as needed Perform basic Relativity searching and global updates to mark and/or tag records as requested; to include confirming record counts in Save Searches and Image redactions prior to creating exports for production Clearly and accurately discusses data inconsistencies found with Project Manager Assists on calls relating to data load file formats or media encryption software with Case - Manager and other IT individuals as requested Qualifications: Modify load files and perform quality control on loaded data quickly and accurately Assist with creating and updating document processing procedures as needed Run multiple load streams simultaneously Perform native file processing in LAW Export data from Relativity to create load files for other various platforms as requested by Case Manager Performs data conversion processing, including conversions of various document types Perform special format data conversions and file manipulation requests Handle quality control on load files and Relativity data loads and exports Perform advanced requests, such as creating data exports for productions and performing quality control on files, and complicated overlays or appends, privilege clawbacks, and sequestration of documents Perform quality control to confirm accuracy on loads completed by new Data Specialists Provide hands-on training to other Data Specialist as needed Perform basic Relativity searching and global updates to mark and/or tag records as requested; to include confirming record counts in Save Searches and Image redactions prior to creating exports for production Clearly and accurately discusses data inconsistencies found with Project Manager Assists on calls relating to data load file formats or media encryption software with Case Manager and other IT individuals as requested Our Commitment: Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client's specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years, we've been growing our government-contracting portfolio, and along the way, we've created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work. Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package. Health, Dental, and Vision Life Insurance 401k Flexible Spending Account (Health, Dependent Care, and Commuter) Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation! Explore additional job opportunities with CGS on our Job Board: https://cgsfederal.com/join-our-team/ For more information about CGS please visit: https://www.cgsfederal.com or contact: Email: info@cgsfederal.com $78,624 - $113,568 a year

Why join us Brex is the AI-powered spend platform. We help companies spend with confidence with integrated corporate cards, banking, and global payments, plus intuitive software for travel and expenses. Tens of thousands of companies from startups to enterprises - including DoorDash, Flexport, and Compass - use Brex to proactively control spend, reduce costs, and increase efficiency on a global scale. Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We're committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career. Data at Brex Our Scientists and Engineers work together to make data - and insights derived from data - a core asset across Brex. But it's more than just crunching numbers. The Data team at Brex develops infrastructure, statistical models, and products using data. Our work is ingrained in Brex's decision-making process, the efficiency of our operations, our risk management policies, and the unparalleled experience we provide our customers. What You'll Do Working closely with Finance leadership, you'll develop a financial forecasting system using advanced data science techniques. You'll analyze key business drivers to inform strategic financial decisions and enhance forecast precision. The ideal candidate has expertise in predictive modeling, causal inference, and experience collaborating with Corporate and Strategic Finance teams, particularly in forecasting within a blended revenue model that includes both recurring and consumption-based components. Where you'll work This role will be based in our San Francisco office. You must be willing to work in office at least 2 days per week on Wednesday and Thursday. Employees will be able to work remotely for up to 4 weeks per year. Responsibilities: Design and build a new top-line revenue and other financial forecasts using predictive modeling and other advanced data science techniques. Collaborate with Finance to integrate predictive insights into existing forecasting processes and refine key assumptions. Partner with Finance to analyze financial performance and uncover key drivers using causal inference, anomaly detection, and exploratory data analysis. Design and implement scalable data pipelines to support financial reporting and forecasting in collaboration with Data Engineering. Mentor junior data scientists and finance analysts to foster a culture of data-driven decision-making. Communicate findings and recommendations clearly to both technical and non-technical audiences. Requirements: Master's degree or Ph.D. in Finance, Statistics, Economics or a related quantitative field. 5+ years of experience in a data science or related role supporting finance teams. Expertise in predictive modeling, causal inference, and time series forecasting. Knowledge of structural finance models, financial planning and analysis (FP&A) workflows and reporting, plus experience working with key performance indicators like LTV, CAC, and ARR. Proficiency in SQL and Python (or R) for data analysis and modeling. Ability to translate complex analyses into strategic recommendations for Finance and business leadership. Familiarity with BI tools (e.g., Tableau, Looker) and financial data sources. Excellent problem-solving skills and the ability to work independently in a fast-paced environment. Strong communication skills, with the ability to work cross-functionally. Bonus Points: Experience building and maintaining financial forecasting models with a high degree of accuracy. Experience working in businesses with blended revenue models that include both recurring and consumption-based components. Compensation The expected salary range for this role is $192,000 - $240,000. However, the starting base pay will depend on a number of factors including the candidate's location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package. Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a brex.com domain. Any outreach claiming to be from Brex via other sources should be ignored.

HUMAN was founded in a Brooklyn sci-fi bookstore with a hacker mindset and the lofty mission of making the internet safer by putting humans first. Today, our Human Defense Platform safeguards enterprises from sophisticated bots, fraud, and account abuse-verifying the humanity of more than 20 trillion interactions per week for the world's biggest brands and internet platforms. Being HUMAN isn't just our name - it's how we show up for customers, partners, and most of all, our team. That means competitive pay, generous benefits, and meaningful perks - all in a culture that celebrates what matters to you, whether that's marathon training, your pets, or your favorite robot (we have many). HUMAN is growing fast, and there's never been a more meaningful time to join us. If you thrive on solving complex problems and want to help shape the future of cybersecurity, join us as we build a safer, more human internet. The Data & Analytics team mission is to enable rapid, data-informed decision-making for HUMAN. We do so by curating a 360 degree view utilizing a mixture of proactive insights, self-service data sets, and supporting infrastructure. We're looking for a Senior Data Analyst to join our team to help build better data infrastructure and scale our current reporting. Sitting at the intersection of trillions of data points, coming from hundreds of industries, domains and apps, your role will be the intermediary, delivering insights and reporting to Finance, Marketing, and Operations and ensuring that we have reliable, insightful views curated to assist in data driven decision making. In particular, you will focus on improving our current reporting to be more streamlined and provide deeper analysis within both operational and product verticals. What you'll do: Lead the analysis of large and complex data sets (trillions of data points across multiple product lines) to extract meaningful insights, trends, and patterns to support business decisions around our core products Collaborate with cross-functional teams, including Marketing, Finance, Product, and Rev Ops, to provide data-driven recommendations to help scale and optimize our current business operations Develop and augment existing data models and automated data pipelines (through dbt and Looker) to improve the efficiency and accuracy of data analysis Leveraging our internal data, which includes traffic from over 2 million domains and 1 million apps, create interactive dashboards and reports using BI tools to communicate insights to stakeholders Find opportunities for process optimization and operational improvements ensuring we have data accuracy and integrity in all parts of the operational funnel Who you are: Ideal candidates will reside in Eastern time zone locations Excellent SQL skills (window functions, subqueries, CTEs, temp functions) Familiarity with Salesforce Ability to work cross-functionally with both senior technical and non-technical team-members Experience utilizing a modern data stack (Snowflake, Github, dbt) Comfortable working in an agile environment Strong attention to detail particularly as it relates to data validation 4 - 6 years of relevant experience in data analytics The base pay range for this position is $125,000- $160,000 which can include additional on-target bonus and/or incentives. The base pay offered may vary depending on location, job related knowledge, skills, and experience. Stock options and other incentive pay may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, depending on the position ultimately offered. #LI-CW1 HUMAN prides itself on being an equal opportunity workplace. We firmly believe in putting people first regardless of who you are, where you come from, how you identify, or who your favorite robot is (we have many). We are on a mission to protect the integrity of the internet for everyone, so we welcome all individuals to come to share their unique experiences and perspectives as we fight against cybercrime together! With Humans located in all parts of the world, we've fully embraced our diversity of thought and are always looking for innovative ways to connect with one another - even in virtual reality! Although New York City is our HQ, we have teams in Tel Aviv, Israel; London, UK; Victoria, Canada; San Mateo, CA; Miami, FL; and Virginia. We trust our Humans in choosing where they work and how they work. The total rewards package we provide reflects our commitment to our Humans' personal career development, which includes annual stipends for wellbeing and learning & development. We also offer weekly in-office lunch for hybrid employees, dedicated time off, HUMAN days, and so much more. We're constantly trying to anticipate the needs of our Humans to ensure each one of us is equally prepared to do some of the best work of our life. Taking care of one another is part of the HUMAN experience and how we build true HUMAN connections. If you are an individual with a disability or special need that requires accommodation, please contact us directly.

As Group Product Manager, you will define and execute the strategy to establish Workato as the enterprise leader in data orchestration. Your goal is to build a unified platform that seamlessly orchestrates data pipelines for ETL, ELT, and Reverse ETL (data activation)-eliminating the need for fragmented tools and enabling enterprises to move data efficiently across their ecosystem. What You'll Do Leadership in Enterprise Data Orchestration Develop and execute the product strategy for a unified data orchestration platform supporting ETL, ELT, and Reverse ETL (data activation) across SaaS, data warehouses, data lakes, and custom sources. Define and prioritize built-in transformation capabilities and integrations with tools like DBT and Coalesce to scale ELT pipelines efficiently. Ensure seamless data ingestion, movement, and activation across structured, semi-structured, and unstructured data formats. Build End-to-End Governance & Operations Embed data quality, lineage, governance, and operational analytics as core platform features, ensuring enterprises have built-in compliance and data integrity controls. Develop native observability and automation tools to monitor pipeline performance, detect anomalies, and proactively enforce data governance policies. Ensure the platform meets enterprise security, compliance, and scalability requirements, making Workato the go-to orchestration solution for large-scale deployments. Drive AI-Powered Innovation Leverage AI to enhance data classification, transformation recommendations, and self-healing pipelines that minimize operational overhead. Integrate predictive analytics and semantic enrichment to automate data mapping, improve pipeline efficiency, and surface actionable insights. Work with AI research teams to infuse machine learning into Workato's data services, driving continuous optimization and smarter decision-making. Advanced Data Virtualization & Analytics Architect a self-service data virtualization platform that provides a self service experience, enabling users to explore and analyze data from third-party apps, data warehouses, data lakes, Workato usage data, and custom datasets in real time. Develop interactive dashboards and AI-powered analytics that empower businesses to make data-driven decisions without deep technical expertise. Ensure seamless cross-platform data integration to unify enterprise data landscapes and drive deeper insights. Lead Cross-Functional Execution Collaborate with engineering, UX, and go-to-market teams to ensure seamless feature adoption. Act as a thought leader internally and externally, driving customer trust and enterprise adoption. Who you are Leadership & Product Management 7+ years of product management experience in SaaS or B2B environments, specializing in data management, data orchestration, or infrastructure products. Proven success in shipping and scaling complex data products with measurable business impact. Strong track record in leading cross-functional teams, influencing product strategy, and driving execution in fast-paced environments. Data Orchestration & Platform Expertise Deep expertise in ETL, ELT, Reverse ETL, and data activation pipelines. Strong understanding of modern data architecture, including data lakes, data warehouses, structured and semi-structured data processing. Experience with data transformation tools (DBT, Coalesce) and orchestration frameworks (Airflow, Dagster) to build scalable pipelines. Knowledge of real-time data movement, databases (Oracle, SQL Server, PostgreSQL), and cloud analytics platforms (Snowflake, Databricks, BigQuery). Familiarity with emerging data technologies like Open Table Format, Apache Iceberg, and their impact on enterprise data strategies. Hands-on experience with data virtualization and analytics platforms (Denodo, Domo) to enable seamless self-service data exploration and analytics. Strong background in cloud platforms (AWS, Azure, Google Cloud) and their data ecosystems. AI & Intelligent Data Automation Experience integrating AI/ML-driven insights into data management products to enhance data quality, lineage tracking, and transformation recommendations. Strong understanding of predictive analytics, anomaly detection, and semantic data enrichment for operational intelligence. Security, Governance & Observability Deep knowledge of data security, compliance, and governance best practices for enterprise data platforms. Experience embedding data lineage tracking, data quality validation, and operational analytics as core product functionalities. Strong expertise in real-time observability, automation, and performance monitoring for data pipelines. Customer-Centric Execution Ability to deeply understand customer needs across data engineering, analytics, and business intelligence teams. Proven ability to translate complex technical concepts into intuitive, user-friendly product capabilities. Skilled at collaborating with engineering, UX, security, legal, and go-to-market teams to drive enterprise adoption. Analytical & Data-Driven Decision Making Strong ability to use customer research, data analytics, and competitive insights to inform product decisions. Experience analyzing large-scale data platforms to optimize usage trends and pipeline performance. Educational Background Bachelor's Degree in Computer Science, Engineering, Data Science, or a related field. An MBA or advanced degree is a plus but not required. Our target compensation is around $230,000 USD plus stock options, but the final package will depend on the interview process. We're open to negotiation and committed to aligning with the salary expectations (REQ ID: 1733)

Everyone is welcome at Handshake. We know diverse teams build better products and we are committed to creating an inclusive culture built on a foundation of respect for all individuals. We strongly encourage candidates from non-traditional backgrounds, historically marginalized or underrepresented groups to apply. Want to learn more about what it's like to work at Handshake? Check out these interviews from our team members! Your impact At Handshake, we are assembling a team of dynamic engineers who are passionate about creating high-quality, impactful products. As a Senior Data Engineer, you will play a key role in driving the architecture, implementation, and evolution of our cutting-edge data platform. Your technical expertise will be instrumental in helping millions of students discover meaningful careers, irrespective of their educational background, network, or financial resources. Our primary focus is on building a robust data platform that empowers all teams to develop data-driven features while ensuring that every facet of the business has access to the right data for making informed conclusions. While this individual will work closely in collaboration with our ML teams, they will also be supporting our businesses data needs as a whole. Your role Technical leadership: Taking ownership of the data engineering function and providing technical guidance to the data engineering team. Mentoring junior data engineers, fostering a culture of learning, and promoting best practices in data engineering. Collaborating with cross-functional teams: Working closely with product managers, product engineers, and other stakeholders to define data requirements, design data solutions, and deliver high-quality, data-driven features. Data architecture and design: Designing and implementing scalable and robust data products that enable self-serve analytics for internal and external use. Staying abreast of emerging technologies and tools in the data engineering space, evaluating their potential impact on the data platform, and making strategic recommendations. Performance optimization: Identifying performance bottlenecks in data processes and implementing solutions to enhance data processing efficiency. Data quality and governance: Ensuring data integrity, reliability, and security through the implementation of data governance policies and data quality monitoring. Advancing our Generative AI strategy: Leveraging your Data Engineering knowledge to design and implement data pipelines that support our AI Initiatives for both internal development and product features, advising and working in collaboration with our ML teams. Your experience Extensive data engineering experience: A proven track record in designing and implementing large-scale, complex data pipelines, data warehousing solutions, and data products. Deep knowledge of data engineering technologies, tools, and frameworks. Software engineering excellence: Experience implementing software engineering best practices in build services for data consumption, ensuring reliability, maintainability, and scalability of data delivery systems. Cloud platform proficiency: Hands-on experience with cloud-based data technologies, preferably Google Cloud Platform (GCP), including BigQuery, DataFlow, BigTable, and more Problem-solving abilities: Exceptional problem-solving skills, with the ability to tackle complex data engineering challenges and propose innovative solutions. Collaborative mindset: A collaborative and team-oriented approach to work, with the ability to communicate effectively with both technical and non-technical stakeholders. Bonus areas of expertise Machine learning for data enrichment: Experience in applying machine learning techniques to data engineering tasks for data enrichment and augmentation. End to end data service deployment, comfortable with product alignment of data-driven initiatives Containerization and orchestration: Familiarity with containerization technologies like Docker and container orchestration platforms like Kubernetes. dbt: Experience with dbt as a data transformation tool for orchestrating and organizing data pipelines. Compensation range $184,000-$230,000 For cash compensation, we set standard ranges for all U.S.-based roles based on function, level, and geographic location, benchmarked against similar stage growth companies. In order to be compliant with local legislation, as well as to provide greater transparency to candidates, we share salary ranges on all job postings regardless of desired hiring location. Final offer amounts are determined by multiple factors, including geographic location as well as candidate experience and expertise, and may vary from the amounts listed above. About us Handshake is the career platform for Gen Z. With a community of over 17 million students, alumni, employers, and career educators, Handshake's network is where career advice and discovery turn into first, second, and third jobs. Nearly 1 million companies use Handshake to build their future workforce-from Fortune 500 to federal agencies, school districts to startups, healthcare systems to small businesses. Handshake is built for where you're going, not where you've been. When it comes to our workforce strategy, we've thought deeply about how work-life should look at Handshake. With our hybrid-work model, employees benefit from collaboration and shared team experiences three days per week in our vibrant offices, and enjoy the flexibility of remote work two days per week (unless noted in the specific job posting). Handshake is headquartered in San Francisco, with offices in New York, London, and Berlin. What we offer At Handshake, we'll give you the tools to feel healthy, happy and secure. Benefits below apply to US employees in full-time positions. Equity and ownership in a fast-growing company. 16 Weeks of paid parental leave for birth giving parents & 10 weeks of paid parental leave for non-birth giving parents. Comprehensive medical, dental, and vision policies including LGTBQ+ Coverage. We also provide resources for Mental Health Assistance, Employee Assistance Programs and counseling support. Generous learning & development opportunities and an annual $2,000 stipend for you to grow your skills and career. Financial coaching through Origin to help you through your financial journey. Monthly internet stipend and a brand new MacBook to allow you to do your best work. Monthly commuter stipend for you to expense your travel to the office (for office-based employees). Free lunch provided 3x a week across all offices. Referral bonus to reward you when you bring great talent to Handshake. 401k Match: Handshake offers a dollar-for-dollar match on 1% of deferred salary, up to a maximum of $1,200 per year. All full-time US-based Handshakers are eligible for our flexible time off policy to get out and see the world. In addition, we offer 13 standardized holidays, and 2 additional days of flexible holiday time off. Lastly, we have a Winter #ShakeBreak, a one-week period of Collective Time Off. Handshake offers $500 home office stipend for you to spend during your first 3 months to create a productive and comfortable workspace at home. Family support: Parental leave coaching and support provided by Parentaly. We partner with Maven Clinic to provide a lifetime coverage up to $15K for expenses related to fertility and family forming! Lifestyle Savings Account: We offer you an annual stipend of $500 to use for purchases such as fitness classes, gym memberships, work-from-home setup, and more. Looking for more? Explore our mission, values and comprehensive US benefits at joinhandshake.com/careers. Handshake is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or reasonable accommodation, please let your recruiter know during initial communications.

Systems Analyst (Data Analytics) Employment Type: Full-Time, Mid-Level /p> Department: Information Technology As a CGS Systems Analyst, you will be doing the work of setting up Oracle databases in a UNIX environment, including designing, implementing, troubleshooting, populating, maintaining, documenting, and training users on such systems. Other systems environments and specific project requirements will call for other specific sets of technical skills. CGS brings motivated, highly skilled, and creative people together to solve the government's most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success: Requires broad knowledge of the Government's IT environments. Office automation networks. PC and server-based databases and applications. Qualifications: This is a senior-level technical position, often the most senior-level technical position for all work for a particular DOJ component. Must demonstrate substantial, hands-on, successful experience in doing the work on the systems being used, usually at least five years of such experience. Other systems environments will require other specific sets of skills. Requires broad knowledge of the Government's IT environments, including office automation networks, and PC and server-based databases and applications. Experience in a litigation support environment is extremely helpful. Excellent oral and written communication skills are required. The ability to lead a technical team, and to give it direction, will be essential, as will the demonstrated ability to analyze the attorneys' needs and to design and implement a whole system solution responsive to those needs. Ideally, you will also have: Undergraduate degree in the computer science or information management/technology disciplines. Supervisory experience. Our Commitment: Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client's specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years, we've been growing our government contracting portfolio, and along the way, we've created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work. Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package. Health, Dental, and Vision Life Insurance 401k Flexible Spending Account (Health, Dependent Care, and Commuter) Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation! Explore additional job opportunities with CGS on our Job Board: https://cgsfederal.com/join-our-team/ For more information about CGS please visit: https://www.cgsfederal.com or contact: Email: info@cgsfederal.com $116,480 - $149,760 a year

Our not-so-secret sauce. Award-winning, inclusive, Top Workplace culture doesn't happen overnight. It's a result of hard work by extraordinary people. The industry's brightest talent drive our efforts to deliver purposeful work and meaningful impact every day. Learn more about what makes us different and how you can make your mark as a Data Lead at MMA. Marsh McLennan Agency (MMA) provides business insurance, employee health & benefits, retirement, and private client insurance solutions to organizations and individuals seeking limitless possibilities. With offices across North America, we combine the personalized service model of a local consultant with the global resources of the world's leading professional services firm, Marsh McLennan (NYSE: MMC). A day in the life. As the Data Lead, you will be at the forefront of our data strategy, responsible for overseeing the collection, management, and analysis of data across MMA. In this role, you will establish best practices for data governance and ensure that our data initiatives align with business objectives, driving insights and informed decision-making throughout the organization. You will collaborate closely with cross-functional teams, including IT and operations, to identify data needs and translate them into actionable strategies. Your leadership will be crucial in guiding your team through the entire data lifecycle, from data acquisition and cleaning to analysis and reporting. In addition to mentoring and empowering your team, you will foster a culture of data-driven decision-making and continuous improvement. Staying abreast of emerging technologies and industry trends, you will evaluate new tools and methodologies to enhance our data capabilities and drive operational efficiency. Our future colleague. We'd love to meet you if your professional track record includes these skills: Leadership Experience: Proven experience leading data management and analytics teams, with a focus on delivering high-quality insights and solutions that drive business impact. Enterprise Data Understanding: High-level understanding of enterprise data needs, along with a general knowledge of data architecture to facilitate collaboration with IT. Data Governance Expertise: Strong knowledge of data governance frameworks, data quality standards, and best practices in data management to ensure compliance and data integrity. Analytical Tools Proficiency: Experience with data analytics tools and programming languages (e.g., SQL, Python, R), as well as familiarity with data visualization tools (e.g., Tableau, Power BI) to effectively communicate insights. Stakeholder Collaboration: Ability to collaborate with both technical and non-technical stakeholders, effectively communicating complex data concepts and analytical findings in a clear and actionable manner. Modern Data Technologies: Proficiency in modern data storage technologies (e.g., SQL, NoSQL) and experience with cloud data platforms (e.g., AWS, Azure) to leverage scalable data solutions. Problem-Solving Skills: Strong problem-solving skills, with a proven track record of identifying and resolving complex data challenges to enhance operational efficiency. Data Standards and Security: Experience in establishing and enforcing data standards, security protocols, and performance benchmarks to protect organizational data assets. Continuous Improvement Mindset: A commitment to fostering a culture of continuous improvement and data-driven decision-making within the organization, encouraging team members to innovate and refine processes. These additional qualifications are a plus, but not required to apply: Bachelor's degree in Data Science, Computer Science, Information Technology, or a related field; Master's degree preferred. 15+ years of experience in data management, analytics, or a related field, with a focus on leadership roles. We know there are excellent candidates who might not check all of these boxes. Don't be shy. If you're close, we'd be very interested in meeting you. Valuable benefits. We value and respect the impact our colleagues make every day both inside and outside of work. Our culture promotes colleague well-being through robust benefits programs and resources, professional and personal development opportunities, and fulfillment through meaningful work. Some benefits included in this role are: Generous time off, including personal and volunteering Tuition reimbursement and professional development opportunities Remote work Charitable contribution match programs Stock purchase opportunities To learn more about a career at MMA, check us out our website or flip through recruiting brochure. Follow us on social media to meet our colleagues and see what makes us tick: Instagram Facebook X LinkedIn Who you are is who we are. We embrace a culture that celebrates and promotes the many backgrounds, heritages and perspectives of our colleagues and clients. We are always seeking those with ethics, talent, and ambition who are interested in joining our client-focused teams. Marsh McLennan and its affiliates are EOE Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers. The applicable base salary range for this role is $119,500 to $209,200. The base pay offered will be determined on factors such as experience, skills, training, location, certifications, education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives. We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs as well as employee assistance programs. Applications will be accepted until: June 16, 2025

RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE TYPE: Top Secret TRAVEL: Yes, 25% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Northrop Grumman Aeronautics Systems is looking to add an Electronics Engineer- Data Center OR Principal Electronics Engineer- Data Center to our team in Rancho Bernardo, CA. This position will be in our Avionics Integration Organization. The selected candidate will work in a fast-paced, dynamic environment working closely with other engineers and technicians in a lab-like environment to integrate, test, and troubleshoot software/hardware systems in complex IT systems. Duties and Responsibilities include, but are not limited to: Provide software, hardware, and system support to on-site end-users as well as engineering technical support for peer teams. Support the IPT with software defect resolution and enhancement efforts Engineer and test new technical solutions in lab environments, technical requirements, and/or bug fixes Integrate and install system cabling and rack equipment IAW engineering specifications Develop and maintain Microsoft PowerShell, Bash, and Python scripts Work with IT automation tools such as Ansible, Puppet, and/or Packer Experience administrating Container Technologies (e.g. Kubernetes, Docker) in a production environment Work with IT systems that include NetApp storage, Cisco network devices, Cisco servers, and Dell equipment Work with operating systems and features such as Red Hat Enterprise Linux, Microsoft Windows and Windows Server, Active Directory, and/or Group Policy Management Work with virtualization products such as VMware ESXi, VMware Horizon or virtual desktop infrastructure, and vCenter Maintain COTS Hardware, Software configuration matrix, technical installation, configuration, update and release procedures, and automate installation of COTS software Document and maintain system configurations and compatibility with existing architectures when implementing system enhancements Implement engineering changes to the system as required Design and implement VMware high-availability virtualized infrastructures The selected candidate will be required to work full-time, on-site at our facility. There is no remote / hybrid / telework available for this position. This position requires the ability to travel up to 25% of the time. This position may be filled at either the Electronics Engineer- Data Center or Principal Electronics Engineer- Data Center level depending upon the qualifications below. Basic Qualifications for Electronics Engineer- Data Center: Bachelor's Degree in a STEM (Science, Technology, Engineering or Mathematics) discipline and 2 years of related engineering experience; OR a Master's degree in a STEM discipline and 0 years of related engineering experience. Ability to obtain and maintain DoD 8140 approved IAT Level II (or higher) compliant certification. Examples include: CCNA Security, Security+CE, CCNP, and CISSP. This certificate must be obtained within a reasonable amount of time as determined by the company to meet its business needs. Demonstrated experience with Windows and Linux operating systems Demonstrated experience with VmWare Must have an active DoD Top Secret clearance (with a background investigation within the past 6 years or enrolled into Continuous Evaluation). Must have the ability to obtain and maintain Special Access Program (SAP) clearance. This SAP must be obtained prior to commencement of employment and must be obtained within a reasonable amount of time as determined by the company to meet its business needs. (Of note: Additional SAP clearance may be required once in role.) Basic Qualifications for Principal Electronics Engineer- Data Center: Bachelor's Degree in a STEM (Science, Technology, Engineering or Mathematics) discipline and 5 years of related engineering experience; OR a Master's degree in a STEM discipline and 3 years of related engineering experience; OR a PhD in a STEM discipline and 0 years of related engineering experience. Ability to obtain and maintain DoD 8140 approved IAT Level II (or higher) compliant certification. Examples include: CCNA Security, Security+CE, CCNP, and CISSP. This certificate must be obtained within a reasonable amount of time as determined by the company to meet its business needs. Demonstrated experience with Windows and Linux operating systems Demonstrated experience with VmWare Must have an active DoD Top Secret clearance (with a background investigation within the past 6 years or enrolled into Continuous Evaluation). Must have the ability to obtain and maintain Special Access Program (SAP) clearance. This SAP must be obtained prior to commencement of employment and must be obtained within a reasonable amount of time as determined by the company to meet its business needs. (Of note: Additional SAP clearance may be required once in role.) Preferred Qualifications for both levels: Current applicable Special Access Program (SAP) clearance. Active DoD 8140 approved IAT Level II (or higher) compliant certification. Examples include: CCNA Security, Security+CE, CCNP, and CISSP. Experience or familiarity with NetApp storage systems, Cisco network devices, VMware ESXi and vCenter, and/or Virtual Desktop Infrastructure Experience or familiarity with operations and maintenance activities of IT infrastructure Salary Range: $89,400.00 - $134,200.00Salary Range 2: $110,300.00 - $165,500.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit http://www.northropgrumman.com/EEO . U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.

About Annalect Annalect is the Data & Technology arm of Omnicom Media Group Annalect's 4,000+ innovators leverage data and technology to help clients across Omnicom build relationships that matter - whether that means fostering consumers' trust in brands, building new experiences, or delivering advanced analytics where it's most needed. Annalect is the driving force behind Omni, Omnicom's unique open operating system, which works hand-in-hand with clients' and partners' data and tools, to orchestrate better marketing outcomes. Annalect's unique approach to data and technology - one that relies on transparency, neutrality, and interoperability - allows us to deliver purpose-built and scalable solutions that make data actionable. Our advanced teams of product leaders, data scientists, consultants, and engineers enable us to meet the business goals of our internal and external clients. Team Overview The Annalect Engineering team is an engaged and innovative group of technologists that includes backend, frontend, full-stack, and data engineers. It is comprised of team members who are highly collaborative and committed to a culture of work/life balance and continual learning and development. Position Overview Annalect is currently seeking an associate director of data engineering to join our technology team remotely. In this role, you will be responsible for extending our data mesh capabilities to ingest client media data and to to deliver this data to our clients at large scale. You will lead the design and implementation of strategies to seamlessly integrate data from our mesh into diverse client environments. You will collaborate with interdisciplinary teams to understand client needs and develop creative solutions leveraging our core data mesh architecture. You will represent the data engineering team in client engagements, explaining how our data mesh works and how it can address their specific challenges. You will be accountable for the scaled enterprise delivery and governance of data products for the clients and stakeholders. Key Responsibilities Extend data supply from our data mesh into custom client environments through modern data stack components. Work with clients on architecture and creative solutions to do cross-environment secure data shares and data worksteams. Represent data engineering for various custom requests and client interactions. Explain how data mesh works and its benefits to clients and internal stakeholders. Work with various stakeholder to get the requirements for desired data products and then guide the work of data engineers to create the custom data products. Create supporting documentation to scale these processes across multiple clients. Oversee the development of various data sharing mechanisms and processes. Guide development of data sharing layers (APIs, workbenches, etc.) for client access. Ensure the ingest of client data, processes that govern ingest and systems that make accessible large amounts of data of our clients. Work with Data QA to ensure data accuracy and consistency. Work with security teams to ensure correct data usage. Lead the documentation of data governance standsards. Ensure we have inituitive documentations for staekeholders and clients to request data and for the engineerting to supply this data. Required Skills And Qualifications 7+ years of solid coding experience Strong expertise with working with data products at scale and large enterprise datasets Familiarity with modern data stack: Data transformation tools like (dbt, Databricks), data ingestion (Fivetran, Airbyte) and data sharing (Snowflake, Starburst) Familiarity with creating scalable data sharing solutions through data products (Starburst, DBT) and data catalogues (Data.world, Secoda, Alation) Familiarity with working with data and databases (SQL, MySQL, PostgreSQL, Amazon Aurora, Redis, Amazon Redshift, Google BigQuery) Experience with data storage strategies(S3, Partitioning, Efficient Quering) Strategic understanding of contemporary data architectures (Data mesh, data fabric). Ability to write high-quality documentation and draw architecture diagrams of the software and make client-facing presentations to explain complex data engineering in accessible terms Perks of working at Annalect Culture! We have an incredibly fun, collaborative environment that encourages engagement and work/life balance Generous PTO that includes vacation days, personal days, a fantastic Summer Friday program and extended time off around the holiday season. As part of Omnicom, we have the backing and resources of a global billion-dollar company, but also have the flexibility and pace of a "startup" - we move fast, break things, and innovate. #LI-CC2 This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on relevant experience, other job-related qualifications/skills, and geographic location (to account for comparative cost of living). The Company reserves the right to modify this pay range at any time. For this role, benefits include: health insurance, vision insurance, dental insurance, 401(k), Healthcare Flexible Spending Account, Dependent Care Flexible Spending Account, vacation days, sick days, personal days, paid parental leave, paid medical leave, and STD/LTD insurance benefits. Compensation Range $140,000-$200,000 USD This role is hybrid, requiring three (3) days per week in the office. The remaining two (2) days may be worked remotely. Specific in-office days will be discussed during the interview process, with flexibility to align with team needs. Please note that the number or required in-office days may be adjusted over time, potentially increasing the number of required in-office days based on business needs. Review Our Recruitment Privacy Notice

Space Systems Data Architect, Senior Key Role: Use your experience as a data architect to design connective data fabric solutions to help our clients solve complex systems-of-systems challenges for next-generation proliferated satellite constellations. Apply model-driven design principles to develop and demonstrate the capability of designs to meet the client's mission performance requirements. Use digital engineering tools and principles to decompose and assist with managing performance budgets. Apply agile development principles to develop roadmaps and work packages that align with project priorities and make use of collaboration and management software tools to manage project execution. Support proposal teams and contribute to or lead the authoring of technical content. Identify and pursue expanded or new technical scope with current and new customers. Develops technical products to support the capture of additional work through viewpoints, white papers, or other intellectual capital. Build and maintain trusted relationships with clients through technical excellence. Efficiently communicate technical information to senior and executive leadership and clients. Communicate with high technical precision through succinct presentations, engineering reviews, and technical briefings, and convey complex technical concepts simply to non-technical audiences. Basic Qualifications: Experience with national security satellite systems for SIGINT or GEOINT missions Experience designing cloud and on-premises agnostic scalable data architectures Experience developing for Data Lakes, Data Warehouses, or Data Lakehouses Experience developing data orchestration pipelines and workflow automation Experience in modeling complex data routing networks and optimizing dynamic bandwidth Knowledge of Tasking, Collection, Processing, Exploitation, and Dissemination (TCPED) Top Secret clearance Bachelor's degree Additional Qualifications: Experience with specific data fabric-related technologies like Confluent Experience with MBSE tools like Cameo Enterprise Architecture or similar Experience in Agile and DevSecOps software development Knowledge of automation techniques using artificial intelligence and machine learning Active TS/SCI clearance; willingness to take a polygraph exam Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Top Secret clearance is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $86,800.00 to $198,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Work Model Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility. If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

Principal Data Scientist I Are you looking to develop your Data Scientist career? Do you enjoy coaching others to achieve high standards? Join us in shaping a more just world. About Us: LexisNexis, a part of RELX, is a leading global provider of legal, regulatory, and business information. We help customers increase productivity and improve decision-making and outcomes. Our 10,500 experts and innovative tools help us shape a better world for our customers and communities. About the Role: As a Senior Data Scientist, you will become a subject matter expert, defining projects and their execution. Leading small teams of indirect reports, you'll influence and mentor teams in best practices and methodologies. For this role, we are seeking candidates who are highly experienced inleading the development and deployment of advanced AI and machine learning models. The ideal candidate will have a deep understanding of machine learning algorithms, experience working with large datasets, and a track record of delivering high-quality results. You will be working closely with other data scientists and engineers to design, develop, and deploy cutting-edge AI solutions. Responsibilities: Leading the development of advanced AI and machine learning models to solve complex business problems Working closely with other data scientists and engineers to design, develop, and deploy AI solutions Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs Analyzing large datasets to identify patterns and trends that can inform AI development Communicating findings and insights to stakeholders in a clear and concise manner Staying current with the latest AI and machine learning trends and technologies Mentoring junior data scientists and provide guidance on AI and machine learning best practices Driving best practices across our data science functions Setting strategy and team direction, with a clear vision for Data Science Working with product leaders to apply data science solutions. Evaluating and creating new frameworks and defining methodologies and governance Leading small- to medium-sized teams (direct or indirect) Setting a high-bar for model development Requirements: Have substantial experience in a senior data scientist role Have experience in leading complex projects and customer relationships Have significant experience in managing larger Technical teams (direct or indirect) Have experience in mentoring or training others, acting as a subject matter expert to guide colleagues Be a natural problem solver, able to take a lead in collaborating to resolve issues Have excellent communication skills and the ability to convey information clearly to senior stakeholders Highly Desired Skills and Experience: PhD or Master's degree in Computer Science, Mathematics, Statistics, or a related field 10+ years of experience in AI and machine learning Deep understanding of machine learning algorithms, including deep learning, gradient boosting, and random forests Experience working directly with large language models and Transformer based architectures including BERT, RoBERTa, T5 etc. Working knowledge of applying recent LLMs including ChatGPT, GPT 3.5, OPT, BLOOM, etc. Experience with reinforcement learning, prompt engineering, hallucination mitigation Working understanding of the business risks associated with applying LLM in a business Experience working with large datasets and distributed computing systems (e.g., Hadoop, Spark) Strong coding skills in Python or another programming language Excellent communicator, with the ability to translate complex technical concepts to non-technical stakeholders Strong problem-solving skills and the ability to think outside the box Work in a way that works for you: We promote a healthy work/life balance across the organization, with various flexible and remote working options available to employees Working with Us: LexisNexis Legal & Professional is proud to be an equal-opportunity employer. We are committed to equal opportunity employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Together, we are building a diverse and inclusive workplace. Working for you: We believe in a healthy work/life balance. We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Comprehensive, multi-carrier health plan benefits Disability insurance Dependent care and commuter spending accounts Life and accident insurance Retirement benefits (salary investment plan/employer stock purchase plan) Modern family benefits, including adoption and surrogacy About our Team: LexisNexis is a data and analytics company with 10,500 colleagues serving customers in more than 150 countries. We're one of the largest information and analytics companies on the planet. We design solutions that help our customers increase productivity, improve decision-making and outcomes, and be more successful. LexisNexis, a division of RELX, is an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form: https://forms.office.com/r/eVgFxjLmAK , or please contact 1-855-833-5120. Please read our Candidate Privacy Policy.

The Lead Enterprise Data Steward of the Data Management and Governance Office is responsible for utilizing relevant data expertise and drives coordination by establishing processes for how stewards execute their activities (the specific work steps, tools used, etc.), and how they communicate their actions to their peer stewards and other business users/roles. The role works closely with key partners across the organization in advocating for and promoting education of staff on data access, literacy, stewardship and governance to senior management, technology, other data and analytics teams across FINRA. The role also helps data stewards in the Data Stewardship Program to interpret policies created by the Board with the goal of establishing clarity and quality in policy enactment, and executing the strategy on leveraging data and intelligence to benefit the regulatory functions performed throughout the organization. Represent enterprise reference and cross-domain data and utilize subject matter expertise to serve on and facilitate discussions on several data-related working groups, committees, business cases and other projects/initiatives. Partner with the Enterprise Data Privacy office as needed to analyze industry data protection and privacy trends, new protection and privacy regulatory requirements and as a result, potential new stewardship activities along with collaboration to monitor and assess organizational data for value, potential risk and ethical implications of using or not using data. Partner with the Cyber & information Security office(CISO) to understand and influence the execution of data security frameworks as the CISO is the first line of defense for security. Execute data protection and security policies with the data engineering teams Promote data awareness, drive evolution of data and creation of cross-domain and complex datasets. Facilitate workshops as required to obtain input from multiple Information Managers, Records Managers, Business Data Stewards, and Data Experts of complex derived data sets across departments. Document assumptions and risks, early in design cycles, for new complex derived/cross domain data sets intended to be shared as enterprise resources. Identifiy data quality and architectural dependencies resulting from data transformations between source data and resulting derived data sets. Design and review requirements for complex derived/cross domain datasets based on workshops and obtain approval for execution, from the business data stewards. Ensure metadata and data consistency, track data usage, and monitor outcomes of these activities. Ensure ongoing accuracy and completeness of the business units' and FINRA's data catalog including identification of critical data sets and data attributes. Inventory, review, and assess, shared derived data sets and create Dashboards and metrics to measure metadata management compliance by the businesses. Design, obtain approvals, and maintain the data taxonomy and its related artifacts. Foster a data-driven culture and decisioning process in the DMGO and across FINRA. Convene and facilitate and influence Data Stewardship Chapters - driving the agenda and collaborating with data stewards to bring items of priority for discussion. Communicate stewardship initiatives, approvals and updates to the data ecosystem, create and share metrics regarding the impact of the program via newsletters, marketing activities like roadshows and spotlights. Collaborate and influence management and individual contributors across FINRA to identify and leverage new data sets and sources and develop strategies for data re-use. Collaborate and influence business unit data stewards on the strategy to drive optimization of data and intelligence usage and data products across the business. Support identification and documentation of data assets. Influence formulating a strategic, global view of data needs, both current and future, across FINRA and help define operational, technical , stewardship and governance requirements of your data. Influence and help formulate and determine organizational business cases for data and support scoping and iterating of minimum viable data assessments for partnerships and contribute to the development of funding proposals for data as needed. Research and provide input on the selection and use of both 3rd party data, including commercially available, sets and in-house data- related objects. Drive requirements gathering activities and craft and obtain approvals for the business unit's data quality dimensions and work with technology and product to get the quality rules prioritized on their roadmaps for implementation. Participate in and influence crafting DMGO practices and policies around data cataloging, data quality, and data management. Owns impact analysis for existing data access and sharing controls (network access groups, group members) resulting from data sharing assumptions for enterprise-class shared data sets and engages Information and Records Managers as needed. Identifies, assesses and conforms to regulatory data mandates, and resolves issues related to data retention schedules in collaboration with the Records Manager. Other Responsibilities: Additional duties as assigned. Education & Experience Requirements: Bachelor's degree and a minimum seven (7) years of related work experience, including familiarity with concepts related to information systems; data analysis, management, science, or architecture; or an equivalent combination of education and relevant experience. Strong knowledge of regulatory data and financial intelligence provided to FINRA from member firms, such as transactional data and financial information. Experience with Financial Services data including those provided by third-party vendors desired. Advanced knowledge of how to create data definitions, standards, determining business data requirements Advanced knowledge of design thinking and implementing these methodologies to run effective data workshops as needed Experience with how to improve data quality and resolving data gaps and identify deficiencies Excellent communication skills with the ability to convey information to both the business and technology Highly Capable of being decisive and manage risk Strong critical thinking skills and a problem solver Excellent interpersonal skills and is motivated to build and sustain relationships Working knowledge of various data programming languages, and statistical analysis e.g., SQL, Python, etc. required. Excellent interpersonal and communication skills, including presentation skills. Ability to work independently on complex and prolonged projects. Working Conditions: Work is normally performed in an office and/or hybrid environment. Occasional travel and extended hours may be required. For work that is performed in CA, CO, HI, MN, VT, IL, Jersey City, NJ, NY, NY, MD, Washington DC, and WA the chart below outlines the proposed salary range for the corresponding location. In addition to location, actual compensation is based on various factors, including but not limited to, the candidate's skill set, level of experience, education, and internal peer compensation comparisons. CA: Minimum Salary $124,300, Maximum Salary $235,500 CO/HI/MN/VT*: Minimum Salary $108,200, Maximum Salary $196,200 IL*: Minimum Salary $119,200, Maximum Salary $215,900 Jersey City, NJ/NY, NY: Minimum Salary $129,800, Maximum Salary $235,500 MD/Washington, DC: Minimum Salary $124,300, Maximum Salary $225,700 WA: Minimum Salary $108,200, Maximum Salary $225,700 Including positions performed outside the state but reporting to an office or manager in that state. Candidates can expect salary offers that range from the minimum to the mid-point of the salary range. FINRA provides full pay ranges so that the candidate can consider their growth potential while at FINRA. To be considered for this position, please submit an application. Applications are accepted on an ongoing basis. The information provided above has been designed to indicate the general nature and level of work of the position. It is not a comprehensive inventory of all duties, responsibilities and qualifications required. Please note: If the "Apply Now" button on a job board posting does not take you directly to the FINRA Careers site, enter www.finra.org/careers into your browser to reach our site directly. FINRA strives to make our career site accessible to all users. If you need a disability-related accommodation for completing the application process, please contact FINRA's Employee Relations team at 240.386.4865 or by email at EmployeeRelations@finra.org. Please note that this process is exclusively for inquiries regarding application accommodations. Employees may be eligible for a discretionary bonus in addition to base pay. Non-exempt employees are also eligible for overtime pay in accordance with federal, state, or local law. As part of its dedication to employee wellness, FINRA provides comprehensive health, dental and vision insurance. Additional insurance includes basic life, accidental death and dismemberment, supplemental life, spouse/domestic partner and dependent life, and spouse/domestic partner and dependent accidental death and dismemberment, short- and long-term disability, long-term care, business travel accident, disability and legal. FINRA offers immediate participation and vesting in a 401(k) plan with company match and eligibility for participation in an additional FINRA-funded retirement contribution, tuition reimbursement, commuter benefits, and other benefits that support employee wellness, such as adoption assistance, backup family care, surrogacy benefits, employee assistance, and wellness programs. Time Off and Paid Leave* FINRA encourages its employees to focus on their health and wellness in many ways, including through a generous time-off program of 15 days of paid time off, 5 personal days and 9 sick days, unless otherwise required by law (all pro-rated in the first year). Additionally, we are proud to support our communities by providing two volunteer service days (based on full-time schedule). Other paid leave includes military leave, jury duty leave, bereavement leave, voting and election official leave for federal, state or local primary and general elections, care of a family member leave (available after 90 days of employment); and childbirth and parental leave (available after 90 days of employment). Full-time employees receive nine paid holidays. Based on full-time schedule Important Information FINRA's Code of Conduct imposes restrictions on employees' investments and requires financial disclosures that are uniquely related to our role as a securities regulator. FINRA employees are required to disclose to FINRA all brokerage accounts that they maintain, and those in which they control trading or have a financial interest (including any trust account of which they are a trustee or beneficiary and all accounts of a spouse, domestic partner or minor child who lives with the employee) and to authorize their broker-dealers to provide FINRA with duplicate statements for all of those accounts. All of those accounts are subject to the Code's investment and securities account restrictions, and new employees must comply with those investment restrictions-including disposing of any security issued by a company on FINRA's Prohibited Company List or obtaining a written waiver from their Executive Vice President-by the date they begin employment with FINRA. Employees may only maintain securities accounts that must be disclosed to FINRA at one or more securities firms that provide an electronic feed (e-feed) of data to FINRA, and must move securities accounts from other securities firms to a firm that provides an e-feed within three months of beginning employment. You can read more about these restrictions here. As standard practice, employees must also execute FINRA's Employee Confidentiality and Invention Assignment Agreement without qualification or modification and comply with the company's policy on nepotism. Search Firm Representatives Please be advised that FINRA is not seeking assistance or accepting unsolicited resumes from search firms for this employment opportunity. Regardless of past practice, a valid written agreement and task order must be in place before any resumes are submitted to FINRA. All resumes submitted by search firms to any employee at FINRA without a valid written agreement and task order in place will be deemed the sole property of FINRA and no fee will be paid in the event that person is hired by FINRA. FINRA strives to make our career site accessible to all users. If you need a disability-related accommodation for completing the application process, please contact FINRA's Employee Relations team at 240.386.4865 or by email at EmployeeRelations@finra.org. Please note that this process is exclusively for inquiries regarding application accommodations. All qualified applicants will receive consideration for employment without regard to age, citizenship status, color, disability, marital status, national origin, race, religion, sex, veteran status or any other classification protected by federal, state, or local laws. FINRA abides by the requirements of 41 CFR 60-741.5(a). This regulation prohibits discrimination against qualified individuals on the basis of disability and requires affirmative action by covered prime contractors and subcontractors to employ and advance in employment qualified individuals with disabilities. FINRA abides by the requirements of 41 CFR 60-300.5(a). This regulation prohibits discrimination against qualified protected veterans and requires affirmative action by covered prime contractors and subcontractors to employ and advance in employment qualified protected veterans. 2025 FINRA. All rights reserved. FINRA is a registered trademark of the Financial Industry Regulatory Authority, Inc.

OUR STORY Quince was started to challenge the existing idea that nice things should cost a lot. Our mission was simple: create an item of equal or greater quality than the leading luxury brands and sell them at a much lower price. OUR VALUES Customer First. Customer satisfaction is our highest priority. High Quality. True quality is a combination of premium materials and high production standards that everyone can feel good about. Essential design. We don't chase trends, and we don't sell everything. We're expert curators that find the very best and bring it to you at the lowest prices. Always a better deal. Through innovation and real price transparency we want to offer the best deal to both our customers and our factory partners. Environmentally and Socially conscious. We're committed to sustainable materials and sustainable production methods. That means a cleaner environment and fair wages for factory workers. OUR TEAM AND SUCCESS Quince is a retail and technology company co-founded by a team that has extensive experience in retail, technology and building early stage companies. You'll work with a team of world-class talent from Stanford GSB, Google, D.E. Shaw, Stitch Fix, Urban Outfitters, Wayfair, McKinsey, Nike etc. THE IDEAL CANDIDATE We are seeking passionate individuals who are enthusiastic about transforming the way people purchase essential goods through innovative data science and AI solutions. We are a centralized data science team that optimize and automate the decision making and provide valuable and actionable business insights. As a Principal Storefront Data Scientist at Quince, you will lead the exploration, design, and implementation of data science solutions to enhance personalization, ranking, search and discovery. Your work will greatly enhance the customer experience, providing you with the opportunity to significantly influence the future success of Quince. RESPONSIBILITIES: Develop and refine machine learning and statistical models to deliver personalized customer experience, including product search, ranking, and recommendations on site, app and CRM channels. Create new ranking features and construct end-to-end modeling pipelines utilizing the latest ML/AI technologies. Deploy ML models into production, run live experiments, and enable performance monitoring in production. Collaborate across functions: Work closely with product, business, and engineering partners to initiate, develop, and deploy solutions with cross-functional support. Communicate insights: Present outcomes and insights to business stakeholders and leadership. Enhance data infrastructure: Identify gaps in existing data, create data product specifications, and collaborate with Engineering teams to implement enhanced data tracking. Promote best practices: Partner with Analytics team members and other functions to share insights and best practices, ensuring consistency in data-driven decision-making across the organization. Drive automation and scale: Continuously strive for automated and production-ready solutions to improve efficiency and scalability. Thought Leadership & Innovation: Serve as a thought leader in the storefront pod, leveraging the latest advancements in data science and AI to enhance the customer experience. Stay at the forefront of industry trends, emerging technologies, and cutting-edge research to drive innovation in personalization, search, merchandising, and onsite engagement. DESIRED SKILLS: MS or PhD in statistics, mathematics, engineering, computer science or another quantitative field AND 7+ years of experience as a data scientist in relevant industry. Hands-on experience applying machine learning, predictive modeling, GenAI to developing Recommender System, Ranking, and Personalization. Deep knowledge in: Statistical and machine learning algorithms. Deep learning and LLMs. End to end Model Productionalization. Proficient in Python and SQL. Excellent communication and presentation skills. Experience with BI platforms such as Looker, Tableau etc. Move fast, be a team player, and be kind. We rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. Bonus eligibility varies by role and is determined based on the position's impact and contribution to our strategic goals. Pay Range $180,000-$250,000 USD Quince provides equal employment opportunities to all employees and applications for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran or military status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Security Advisory: Beware of Frauds At Quince, we're dedicated to recruiting top talent who share our drive for innovation. To safeguard candidates, Quince emphasizes legitimate recruitment practices. Initial communication is primarily via official Quince email addresses and LinkedIn; beware of deviations. Personal data and sensitive information will not be solicited during the application phase. Interviews are conducted via phone, in person, or through the approved platforms Google Meets or Zoom-never via messaging apps or other calling services. Offers are merit-based, communicated verbally, and followed up in writing. If personal information is requested to initiate the hiring process, rest assured it will be through secure and protected means.

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. Position Summary GEICO is seeking an experienced Senior Software Engineering Manager Financial Data and Analytics to lead and manage the development and implementation of our Finance Data Analytics platform. This role requires an individual with a blend of deep expertise in financial systems and strong experience in data technologies. The ideal candidate will be responsible for driving the design, integration, consolidation and normalization of financial data from disparate systems that enables improved data-driven decision making, actionable insights that is accessible to all stakeholders. The Finance Systems Leader for Financial Data and Analytics is an engineering leader who works with the business and engineering staff to innovate and build the financial analytics solution to support large data sets and complex actuarial models. This role reports to the Sr Director FP&A Tech and will be vital to driving the evolution of financial reporting and analytics capabilities. The successful candidate will lead and build a high performing technical team and be responsible for the development and delivery of financial data applications and analytics. Position Responsibilities As the Senior Manager of our Finance Data warehouse/lake you will: Lead the design, build and optimization of the Finance Data Warehouse, with a focus on structuring financial data for advanced analysis and insights. Collaborate with cross-functional teams (Finance, Tech, Business Intelligence, etc.) to build and maintain finance data models, dashboards, and reports that meet business and reporting needs. Guide the development of self-service analytics tools and dashboards, empowering business units to generate insights independently. Drive the development of advanced analytical capabilities such as predictive modeling, trend analysis, AI and financial forecasting. Leverage finance system knowledge to ensure seamless integration of financial data from ERP systems, sub-ledgers and other enterprise sources. Collaborate with FP&A, Pricing and other Finance teams to champion a culture of data-driven decision making by providing education, support and tools. Establish and enforce strong data governance standards to ensure high-quality, consistent, accurate and secure financial data. Develop and deploy advanced financial reporting and analytics tools, enabling senior leadership to make informed decisions Manage a team of data engineers providing mentorship, guidance and support for career development. Facilitate Business and Technology discussions at various leadership levels to build technology roadmaps to ensure alignment towards long term finance objectives. Share your passion for staying on top of tech/industry trends, experimenting with, and learning recent technologies, participating in internal and external technology communities, and mentoring other members of the engineering community. Consistently share best practices and improve processes within and across teams. Qualifications 20+ years of Technology Systems experience 15+ years of management or lead experience in guiding Technology teams 5+ years experience in financial analytics, financial data analytics or financial planning and analysis technologies Experience working with or managing a Finance Data Warehouse / Lake is preferred Strong background in financial modeling, analytics and reporting tools (e.g. PowerBI, Tableau, SQL, Excel). 5+ years of experience with ERP systems (Oracle, Workday, SAP, PeopleSoft) and FP&A systems (Oracle EPM, TM1/Cognos) is highly desirable. Familiarity with data governance frameworks, especially in the context of financial data. Experience in driving the adoption of financial analytics tools and dashboards across different teams and levels of the organization. Understanding of Accounting process; Controls; Security; and SOX to partner with senior Finance Leaders Ability to translate complex financial data into meaningful insights and actionable recommendations for business leaders. Knowledge of advanced analytics techniques, such as financial forecasting, predictive analytics or machine learning is a plus Experience with developing systems that are scalable, resilient, and highly available Ability to communicate and work directly with business leaders across Technology and Finance Solid understanding of project management techniques, methodologies, and best practices. Strong problem-solving abilities Ability to excel in a fast-paced environment Knowledge and experience with the software development life cycle (task management, source code, building, deployment, operations, real-time communication) Ability to prioritize workload and execute tasks independently, providing timely follow-up and resolution. Ability to work independently and in a team-oriented collaborative environment Education Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent education or work experience Annual Salary $150,000.00 - $300,000.00 The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations. GEICO will consider sponsoring a new qualified 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.

Software Developer / Engineer (GIS Integration / Data / Applications / Tools) Job Category: Engineering Time Type: Full time Minimum Clearance Required to Start: TS/SCI Employee Type:Regular Percentage of Travel Required: Up to 10% Type of Travel: Outside Continental US - Hazard CACI has an outstanding opportunity for a select Software Engineer that wants to make a difference in the defense of the nation by applying their talents and experience in a fast-paced dynamic environment in support of US Special Operations Command. This opportunity is limited to self-starters with an advanced level of experience in planning, implementing, developing, and maintaining applications for a GIS Enterprise and capable of working independently in a fluid custom application development environment. You will be an integral part of a selective professional IT team that directly supports the operational planning cycle to support mission success. This position is in support of a Department of Defense (DoD) organization in Fayetteville, NC. More About the Role: You will use advanced software engineering techniques to perform complex analysis, design and modification of applications and databases for GIS Enterprise. You will perform software development, deployment, and maintenance of both custom and ad-hoc applications supporting geospatial intelligence analysis workflows. You should have excellent communication skills to include technical writing and the ability to work in a collaborative team environment. You should have the ability and willingness to continue to expand your knowledge and experience base to be detail oriented and to prioritize and complete assigned tasks within required deadlines. You should have exceptional problem solving and decision-making capabilities, including troubleshooting technical issues; successfully resolving project issues and challenges; and understanding user requirements to develop creative software solutions for process improvements. Using your knowledge and experience you will recommend innovative technologies that enhance the presentation and use of enterprise GIS products and provide integrated systems planning. You'll Bring These Qualifications: TS/SCI Have eight years software development experience Proficient in C# and Python programming languages Ability to create and develop custom tools utilizing RDBMS, NoSQL data stores, and distributed process of large datasets. Performs high level/expert intelligence systems development design and evaluation. Possess strong oral and written communication skills Capable of performing as a team and effectively directing subordinates High level/expert ability to manage and work with static and dynamic streaming geospatial oriented data Required to obtain and maintain currency of the appropriate level certification in accordance with DODD 8570.01 (Security+) These Qualifications Would be Nice to Have: Bachelor's degree and three additional years of general experience in the intelligence community and geospatial systems experience are highly desirable. This position is contingent on funding and may not be filled immediately. However, this position is representative of positions within CACI that are consistently available. Individuals who apply may also be considered for other positions at CACI. ____ Wha t You Can Expect: A culture of integrity. At CACI, we place character and innovation at the center of everything we do. As a valued team member, you'll be part of a high-performing group dedicated to our customer's missions and driven by a higher purpose - to ensure the safety of our nation. An environment of trust. CACI values the unique contributions that every employee brings to our company and our customers - every day. You'll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality. A focus on continuous growth. Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground - in your career and in our legacy. Your potential is limitless. So is ours. Learn more about CACI here. ____ Pay Range: There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. Learn more here. The proposed salary range for this position is: $85,000 - $178,600 CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.

Join the Carolina Cat Team As a family-owned company under our third generation of leadership, we have built our business based on the principles of trust, integrity, and a desire to help our customers and employees succeed. Since 1926, we've supported our communities by supplying equipment for critical infrastructure and commerce and by donating our time and resources to area nonprofits. We make smart investments in our company and continuously improve as part of our vision to be a trailblazing company that's built to last. We're looking for hard-working, team-oriented professionals who enjoy working on new challenges every day. We believe our employees are the key to our success, and we're committed to providing a work experience that helps our team grow to their full potential. Collectively, our employees work together to make a difference for our customers, our communities, and our company. Learn more about what it means to become a team member with Carolina Cat. Summary At Carolina Cat, we are a trailblazing organization that is built to last. We strive to be a diverse and inclusive organization where everyone feels welcome, and our differences are valued as competitive advantages. Trust is our bottom line, and we are proud to serve our employees as a partner in their success. We make smart investments in our company and that starts with our people. The marketing team plays a key strategic role in the success of delivering business results and superior customer experiences, and we are looking for a Marketing Automation Supervisor to join our team. The Salesforce Marketing/Data Cloud Lead will be the go-to resource for technical expertise on Salesforce Marketing Cloud and Data Cloud, focusing on data management, audience segmentation, and campaign optimization to drive impactful marketing strategies. You will be responsible for optimizing the platform and providing technical expertise to scale digital solutions, email marketing campaigns, and data integration. You must work closely with the IT, sales, and marketing teams to ensure that the platform is leveraged to its optimal capabilities. As the Salesforce Marketing/Data Cloud Lead, you will be proficient in end-to-end journey orchestration and development, responsible for delivering timely and personalized experiences to Carolina Cat's audiences and act as the subject matter expert for the tech stack facilitating these experiences. You should be passionate about enabling omni-channel, data rich marketing programs in an integrated approach that is directly driven by strategic business goals. They are responsible for directing, developing, executing and tracking the technical integrations, segmentations and automations in customer journeys and external communications using Salesforce Marketing Cloud and Salesforce Data Cloud. Working with key business stakeholders, cross-functional teams and vendor partners, you will act as a trusted source of knowledge and advise on marketing journey best practices and the innovative capabilities to address requirements and maximize efficiencies in Marketing Cloud and Data Cloud applications. Essential Functions Data Management & Integration Design, implement, and maintain data models and integrations between Salesforce Marketing Cloud, Data Cloud, and other relevant systems. Ensure data quality, consistency, and security across all platforms. Manage data imports, exports, and transformations. Audience Segmentation & Targeting Develop and implement robust audience segmentation strategies based on customer data and business objectives. Use Data Cloud to create and manage customer profiles and segments for personalized marketing experiences. Marketing Automation & Campaign Management Design and implement marketing automation workflows and journeys using Salesforce Marketing Cloud tools. Optimize campaigns for maximum impact and ROI, leveraging data and analytics. Monitor and analyze campaign performance, providing insights and recommendations for improvement. Technical Expertise & Problem Solving Serve as a technical expert for Salesforce Marketing Cloud and Data Cloud, providing guidance and support to internal teams. Troubleshoot and resolve technical issues related to data, integrations, and campaigns. Stay up-to-date with the latest features and best practices in Salesforce Marketing Cloud and Data Cloud. Collaboration & Communication Collaborate with cross-functional teams (marketing, sales, IT) to ensure alignment and effective execution of marketing initiatives. Communicate technical information and solutions clearly and concisely to both technical and non-technical audiences. Data Cloud Specifics Leverage Data Cloud to unify customer data from various sources, including CRM, marketing, sales, and service. Use Data Cloud to create a 360-degree view of the customer for personalized experiences. Implement data mapping, identity resolution, and data access policies within Data Cloud. Other duties as assigned. Supervisory Responsibilities This job has supervisory responsibilities. Qualifications To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable qualifying individuals to perform the essential functions. Education and/or Experience 4-year degree in marketing, design, communications, business administration or equivalent with two to four years of progressive experience in marketing or creative functions is required Deep knowledge of Salesforce Marketing Cloud (Email Studio, Journey Builder, etc) and Data Cloud; Salesforce Certification preferred Experience developing, implementing and using marketing automation platforms (Salesforce Marketing Cloud and Salesforce Data Cloud required) Strong understanding of data modeling, data integration, and data governance Experience with SQL and other data manipulation techniques Hands-on experience managing and measuring omni-channel marketing campaigns Ability to work closely with cross-functional teams, including Marketing, Design, IT, Legal and HR Basic CRM understanding and how to best leverage for automating digital programs Strong problem-solving skills with the ability to think creatively and innovatively Analytical skills to report KPIs and identify trends and challenges A high level of attention to detail and good organizational skills Able to interpret business needs into technical requirements for journey and campaign builds Goal-oriented with strong project management skills Computer Skills Successful candidate will be proficient in marketing automation tools (Salesforce Marketing Cloud & Salesforce Data Cloud preferred), Microsoft Office, and Adobe Creative Suites (InDesign, Photoshop, and Illustrator). Prior experience using CRM tools (Salesforce or Texada). Experience working in email marketing platforms and CMS platforms required. HTML/CSS knowledge required, with basic understanding of SQL skillset. Certificates, Licenses, Registrations Salesforce Marketing Cloud and/or Data Cloud certifications required. Workplace Requirements The physical demands and work environment described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Physical Demands While performing the duties of this Job, the employee is regularly required to stand; walk; use hands to finger, handle, or feel; reach with hands and arms and talk or hear. The employee is frequently required to sit. The employee must frequently lift, carry, push, pull and /or otherwise move up to 25 pounds. Specific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception and ability to adjust focus. Work Environment While performing the duties of this Job, depending on site location, the employee may be exposed to moving mechanical parts and equipment. The employee may occasionally be exposed to high, precarious places, fumes or airborne particles; outside weather conditions and vibration. The employee may occasionally be exposed to wet and/or humid conditions; toxic or caustic chemicals; extreme cold; extreme heat and risk of electrical shock. The noise level in some work environments is occasionally loud. We are an Equal Opportunity Employer We require all employees to treat all our employees and candidates as equals. All personnel actions are conducted in the spirit of equal employment. We're committed to recruit, train, promote and retain associates without regard to race, color, religion, gender, gender identification and expression, national origin, marital status, age, disability, genetic information, military status, sexual orientation or any other characteristic protected by applicable local, state or federal laws. #CarolinaCAT

Sr. Data Specialist Employment Type: Full-Time, Mid-Level /p> Department: Data Science As a Data Specialist for CGS you will help our government client in processing data using LAW. The ideal candidate will regularly load large volumes of production data; running exports from the database for creating discovery party productions. Downloading files from our file sharing tool, JEFS, and performing quality control on load and export files to ensure accuracy is vital to this job position. CGS brings motivated, highly skilled, and creative people together to solve the government's most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success: Modify load files and perform quality control on loaded data quickly and accurately Assist with creating and updating document processing procedures as needed Run multiple load streams simultaneously Perform native file processing in LAW Export data from Relativity to create load files for other various platforms as requested by Case Manager Performs data conversion processing, including conversions of various document types Perform special format data conversions and file manipulation requests Handle quality control on load files and Relativity data loads and exports Perform advanced requests, such as creating data exports for productions and performing quality control on files, and complicated overlays or appends, privilege clawbacks, and sequestration of documents Perform quality control to confirm accuracy on loads completed by new Data Specialists Provide hands-on training to other Data Specialist as needed Perform basic Relativity searching and global updates to mark and/or tag records as requested; to include confirming record counts in Save Searches and Image redactions prior to creating exports for production Clearly and accurately discusses data inconsistencies found with Project Manager Assists on calls relating to data load file formats or media encryption software with Case - Manager and other IT individuals as requested Qualifications: Modify load files and perform quality control on loaded data quickly and accurately Assist with creating and updating document processing procedures as needed Run multiple load streams simultaneously Perform native file processing in LAW Export data from Relativity to create load files for other various platforms as requested by Case Manager Performs data conversion processing, including conversions of various document types Perform special format data conversions and file manipulation requests Handle quality control on load files and Relativity data loads and exports Perform advanced requests, such as creating data exports for productions and performing quality control on files, and complicated overlays or appends, privilege clawbacks, and sequestration of documents Perform quality control to confirm accuracy on loads completed by new Data Specialists Provide hands-on training to other Data Specialist as needed Perform basic Relativity searching and global updates to mark and/or tag records as requested; to include confirming record counts in Save Searches and Image redactions prior to creating exports for production Clearly and accurately discusses data inconsistencies found with Project Manager Assists on calls relating to data load file formats or media encryption software with Case Manager and other IT individuals as requested Our Commitment: Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client's specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years, we've been growing our government-contracting portfolio, and along the way, we've created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work. Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package. Health, Dental, and Vision Life Insurance 401k Flexible Spending Account (Health, Dependent Care, and Commuter) Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation! Explore additional job opportunities with CGS on our Job Board: https://cgsfederal.com/join-our-team/ For more information about CGS please visit: https://www.cgsfederal.com or contact: Email: info@cgsfederal.com $78,624 - $113,568 a year

Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors-from fraud detection to cancer research to national intelligence-we need you to help find the answers in the data. On our team, you'll use your leadership skills and data science expertise to create real-world impact. You'll work closely with clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You'll guide teammates and lead the development of algorithms and systems. You'll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions. Ultimately, you'll provide a deep understanding of the data, what it all means, and how it can be used. Work with us as we use data science for good. Join us. The world can't wait. You Have: 5+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining 5+ years of experience with analyzing structured and unstructured data sources Experience with statistical and general-purpose programming languages for data analysis Experience with developing predictive data models, quantitative analyses, and visualization of targeted data sources Experience with leading the development of solutions to complex problems Experience with natural language processing, text mining, or machine learning techniques TS/SCI clearance with a polygraph Bachelor's degree Nice If You Have: Experience in the development of algorithms leveraging Python and SQL Experience with developing solutions incorporating Large Language Models Experience with distributed data or computing tools such as Spark Experience with Python data science and visualization packages Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance with polygraph is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Work Model Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility. If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.