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At 2U, we are all in on purpose. We are motivated by our mission – to eliminate the back row in education – and connected by our shared passion to deliver world-class digital education at scale. As the parent company of edX, the world’s leading online learning platform, 2U powers more than 4,000 online higher education offerings – from free courses to full degrees. Together with more than 230 colleges, universities, and corporate partners, we are helping to unlock human potential. What We’re Looking For: The Curriculum and Content Strategy Lead, Data and AI Products is the primary product owner and subject matter expert for curriculum content aligned with the specific industry domain. They oversee a portfolio of high profile and complex programs through each stage of the life cycle, ensuring each curriculum and/or product is developed according to defined requirements. They use their deep domain expertise to define content strategy for their subject area of expertise, supporting products at various stages including new product creation, maintenance and updates, and retirement. They define product enhancements to maintain and improve quality in existing alternative credential products, lead curricular planning, participate in data-driven evaluation and continuous improvement efforts, provide strategic direction and support for internal stakeholders, external partners, and the curriculum/ product, in alignment with 2U business priorities and target investment. Are you a subject matter expert in data analytics, data science, machine learning, and generative AI and can translate those deep technical skills into product strategy and content design? The Curriculum and Content Strategy Lead, Data and AI Products role encompasses developing curriculum and product architecture, designing for target learners, identifying market needs for new and evolving learning products, and architecting curriculum and learner outcomes based on product requirements. The Curriculum and Content Strategy Lead, Data and AI Products role plays a strategic and important role in that mission of helping build and grow hands-on learning experiences in areas with exciting growth and potential. The Curriculum and Content Strategy Lead, Data and AI Products engages with internal teams such as Content Strategy and Product Marketing in order to drive revenue growth and define the critical pathway to content development. They drive pipeline and portfolio strategy based on product requirements, learner outcomes, and their domain expertise. To do so successfully will require the ability to: <ul> <li>Use their domain knowledge and experience to inform product strategy and pipeline decisions</li> <li>Impact and influence external partner teams to deliver high quality curriculum and products on time and meet all product and content requirements.</li> <li>Thrive in an atmosphere of continuous change, while focusing on priorities, and constantly driving toward solutions.</li> <li>Manage multiple competing priorities.</li> <li>Collaborate effectively with key stakeholders and functional leads company-wide.</li> </ul> Responsibilities Include, But Are Not Limited To: Data and AI Product &amp; Content Design <ol> <li>Act as principal subject-matter expert in the fields of data analytics, data science, machine learning, and generative AI and emerging topics in those fields. </li> <li>Lead the creation of technical and non-technical content for cross-product verticals, including Professional &amp; Industry Certificates, Short Courses, and MOOCs. </li> <li>Research and stay up-to-date on technology trends and new tools, to create content to meet market and student demands.</li> <li>Establish, implement and promote best practices in backwards design content development across 2U/edX’s portfolio of Bootcamp &amp; Alternative Credential products.</li> <li>Provide expert guidance on content and technology best practices in the fields of data analytics, data science, machine learning, generative AI, and emerging topics.</li> <li>Collaborate with internal teams and external partners on high-level design choices for the knowledge, skills, and abilities that will be taught in each curriculum. </li> <li>Work with internal teams, learners and industry experts to conceive of and collaborate on new ideas for enhancing student learning outcomes.</li> <li>Define workflows, processes, and standards for developing high quality curricula and identify efficiencies between content and teams in multiple product verticals.</li> <li>Provide strategic guidance to contributors on new content development, based on your knowledge of emerging trends and industry demands to inform future growth of multiple product categories in the Alternative Credential product portfolio.</li> <li>Maintain quality of curriculum to meet product requirements and student needs via data-driven revisions and product enhancements. </li> <li>Prioritize, scope, and submit requests for ongoing course revisions and product enhancements in alignment with investment guidance, learner needs, product requirements, and business strategy. </li> </ol> Curriculum and Content Strategy <ol> <li>Review and maintain product catalogue of internal and partner owned curricula in your domain of expertise, identifying areas of opportunity, product refreshes, and new product areas. </li> <li>Serve as internal subject matter expert for reviewing external products and content for catalogue fit. </li> <li>Partner with cross functional leads to inform decision-making around new program development and potential opportunities across multiple domains including data analytics, data science, machine learning, generative AI, and emerging topics, and the applications of these fields across a variety of industries.</li> </ol> Project Management <ol> <li>Work with stakeholders across departments and external leaders to support the future growth of multiple product verticals.</li> <li>Leverage external relationships to support development of new products.</li> <li>Effectively communicate requirements to internal or external teams responsible for content development to ensure all courses are developed to the highest standard of quality and meet agreed-upon requirements.</li> <li>Internal point of contact and representative of Product Strategy for each assigned program; advocate and representative for curricular and partner academic needs.</li> <li>Develop and maintain successful relationships with key members of the internal Product Strategy team and other key stakeholders, as required for each assigned program.</li> </ol> Things That Should Be In Your Background: <ul> <li>5-10+ years of experience in data science and machine learning</li> <li>A strong familiarity with technical learning content and domains, including: <ul> <li>Data analytics</li> <li>Data visualization</li> <li>Python and/or R</li> <li>Data Science</li> <li>Machine Learning</li> <li>Natural Language Processing</li> <li>Large Language Models</li> <li>Generative AI and its applications across industries</li> </ul> </li> <li>Advanced degree or related course work, or equivalent professional experience</li> <li>Product management or development responsibility for digital products or services. defining, communicating, and driving fulfillment of product requirements</li> <li>Familiarity with learning design, online learning platforms and technologies, and development of digital content</li> <li>Experience in OPM and online education market, in either a business or academic setting, including international markets</li> <li>Excellent organizational and multitasking skills with superior attention to detail and demonstrated problem-solving success</li> </ul> Working Conditions Travel estimated to be 10-15%, may include international travel Management Responsibilities No direct reports Benefits &amp; Culture Our global employee base is a diverse collection of innovators, dreamers, and doers working together to transform lives through higher education. We believe that every employee can advance our shared purpose, and that life at 2U should be fun and meaningful. If you’re excited by the opportunity to provide over 40 million learners and counting with access to world-class online higher education, then join us – and do work that makes a difference. #NoBackRow We offer comprehensive benefits (unique per country) and excellent work/life balance. Full-time, U.S.benefits include: <ul> <li>Medical, dental, and vision coverage</li> <li>Life insurance, disability, and 401(k) employer match</li> <li>Employee stock purchase plan</li> <li>Free snacks and drinks in-office</li> <li>Generous paid holidays and leave policies, including unlimited PTO</li> <li>Additional time off benefits include: volunteer days, parental leave, and a company-wide winter break</li> </ul> The anticipated base salary range for this role is $126,000 - $141,000 with potential bonus eligibility. Salary offers are made based on the candidate’s qualifications, experience, skills, and education as they directly relate to the requirements of the position, budget for the position and cost of labor in the market in which the candidate will be hired. 2U Diversity and Inclusion Statement At 2U, we are committed to building and sustaining a culture of belonging, respect, and inclusion. We are proud of the steps we’ve taken to bring together an employee base that embodies diverse walks of life, ideas, genders, ages, races, cultures, sexual orientations, abilities and other unique qualities. We strive to offer a workplace where every employee feels empowered by what makes us different, as well as by how we are alike. 2U is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodations, please reach out to us at: <a href="#">recruitingaccommodations@2u.com</a>. About 2U Inc. (NASDAQ: TWOU) For more than a decade, 2U, Inc. has been the digital transformation partner of choice to great non-profit colleges and universities delivering high-quality online education at scale. As the parent company of edX, a leading global online learning platform, 2U provides over 45 million learners with access to world-class education in partnership with more than 230 colleges, universities, and corporations. Our people and technology are powering more than 4,000 digital education offerings — from free courses to full degrees — and helping unlock human potential. To learn more: visit 2U.com. About edX edX is the education movement for restless learners and a leading global online learning platform from 2U, Inc. (Nasdaq: TWOU). Together with the majority of the world’s top-ranked universities and industry-leading companies, we bring our community of over 45 million learners world-class education to support them at every stage of their lives and careers, from free courses to full degrees. And we're not stopping there — we're relentlessly pursuing our vision of a world where every learner can access education to unlock their potential, without the barriers of cost or location. Learn more at edX.org. Learn more at <a href="https://2u.com/careers/" target="_blank">https://2u.com/careers/</a> #NoBackRow The above statements are intended to describe the general nature and level of work performed by individuals assigned to this position, and are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required. All employees may be required to perform duties outside of their normal responsibilities from time to time, as needed. 2U is an equal opportunity employer that does not discriminate against applicants or employees and ensures equal employment opportunity for all persons regardless of their race, creed, color, religion, sex, sexual orientation, gender identity, pregnancy, national origin, age, marital status, disability, citizenship, military or veterans’ status, or any other classifications protected by applicable federal, state or local laws. 2U’s equal opportunity policy applies to all terms and conditions of employment, including but not limited to recruiting, hiring, training, promotion, job benefits and pay.

2U Inc.

Curriculum and Content Strategy Lead, Data and AI Products

What you can expect We are looking for a Senior Manager with a deep engineering background in building data solutions, including data pipelines, advanced machine learning models, data products and visualizations. The ideal candidate needs to have experience with large software telemetry data sets. You will be responsible for delivering data solutions that drive business transformations, working closely with product management and go-to-market teams. Reporting to the Global Head of Data &amp; Analytics, you’ll lead the delivery of solutions leveraging Zoom product telemetry data. The role requires extensive leadership in software engineering, people management, and technical depth across a multi-stack cloud data ecosystem. About the Team The Data Team drives data-informed decision-making at Zoom, supporting product development with behavioral insights and helping go-to-market teams with risk and buying propensity scores. We aim to deliver better products and sales outcomes while ensuring compliance with privacy and regulatory requirements for millions of users globally. What we’re looking for<ul> <li>Have a Master’s or Bachelor’s degree in Computer Science or a related field</li> <li>Have 15+ years experience in various data roles across data engineering, ML Engineering and data analytics, ideally in SaaS companies. At least 5 to 7 years of leadership experience</li> <li>Possess excellent people management skills with proven track record of performance management</li> <li>Experience in building data products using data technologies like Snowflake, DBT, Python, Airflow, Kafka, Tableau, GraphDB, Notebooks etc</li> <li>Show expertise in data architecture, compliance, data security, and governance. Proven experience in developing and operating cloud-based data solutions</li> <li>Present effective communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams</li> <li>Experience in delivering data solutions in Go-to-market domains is highly valued.</li> </ul>Ways of Working Our structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting.Benefits As part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways. Click <a href="https://careers.zoom.us/benefits" target="_blank">Learn</a><a href="http://careers.zoom.us/benefits" target="_blank"> </a>for more information.About Us Zoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars. We’re problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Here, you’ll work across teams to deliver impactful projects that are changing the way people communicate and enjoy opportunities to advance your career in a diverse, inclusive environment. Our Commitment​ We believe that the unique contributions of all Zoomies is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. Zoom is proud to be an equal opportunity workplace and is an affirmative action employer. All your information will be kept confidential according to EEO guidelines.We welcome people of different backgrounds, experiences, abilities and perspectives including qualified applicants with arrest and conviction records and any qualified applicants requiring reasonable accommodations in accordance with the law.If you need assistance navigating the interview process due to a medical disability, please submit an <a href="https://form.asana.com/?k=OIuqpO5Tv9XQTWp1bNYd8w&amp;d=1127274756253361" target="_blank">Accommodations Request Form</a> and someone from our team will reach out soon. This form is solely for applicants who require an accommodation due to a qualifying medical disability. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed.#LI-Remote

Zoom

Senior Manager, Product Data & Analytics

Lead Data Engineer - Capital One Software (Remote)Ever since our first credit card customer in 1994, Capital One has recognized that technology and data can enable even large companies to be innovative and personalized. As one of the first large enterprises to go all-in on the public cloud, Capital One needed to build cloud and data management tools that didn’t exist in the marketplace to enable us to operate at scale in the cloud. And in 2022, we publicly announced Capital One Software and brought our first B2B software solution, Slingshot, to market.Building on Capital One’s pioneering adoption of modern cloud and data capabilities, Capital One Software is helping accelerate the data management journey at scale for businesses operating in the cloud. If you think of the kind of challenges that companies face – things like data publishing, data consumption, data governance, and infrastructure management – we’ve built tools to address these various needs along the way. Capital One Software will continue to explore where we can bring our solutions to market to help other businesses address these same needs going forward. We are seeking top tier talent to join our pioneering team and propel us towards our destination. You will be joining a team of innovative product, tech, and design leaders that tirelessly seek to question the status quo. As a Capital One Lead Data Engineer, you’ll have the opportunity to be on the forefront of building this business and bring these tools to market.What You’ll Do:<ul> <li>Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies</li> <li>Work with a team of developers with deep experience in data engineering, analytics, machine learning, distributed microservices, and full stack systems</li> <li>Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based services such as Redshift and Snowflake</li> <li>Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal &amp; external technology communities, and mentoring other members of the engineering community</li> <li>Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment</li> <li>Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance</li> </ul>Basic Qualifications: <ul> <li>Bachelor’s Degree </li> <li>At least 4 years of experience in application development (Internship experience does not apply)</li> <li>At least 2 years of experience in big data technologies </li> <li>At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)</li> </ul>Preferred Qualifications:<ul> <li>7+ years of experience in application development including Python, SQL, Scala, or Java</li> <li>4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)</li> <li>4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)</li> <li>4+ year experience working on real-time data and streaming applications </li> <li>4+ years of experience with NoSQL implementation (Mongo, Cassandra) </li> <li>4+ years of data warehousing experience (Redshift, Snowflake, Databricks) </li> <li>4+ years of experience with UNIX/Linux including basic commands and shell scripting</li> <li>2+ years of experience with Agile engineering practices </li> </ul>At this time, Capital One will not sponsor a new applicant for employment authorization for this position.The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.Remote (Regardless of Location): $175,800 - $200,700 for Lead Data Engineer Richmond, VA: $175,800 - $200,700 for Lead Data Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the <a href="https://www.capitalonecareers.com/benefits" target="_blank">Capital One Careers website</a>. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at <a href="#">RecruitingAccommodation@capitalone.com</a>. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.For technical support or questions about Capital One's recruiting process, please send an email to <a href="#">Careers@capitalone.com</a>Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Capital One

Lead Data Engineer - Capital One Software (Remote)

<h3> Position Summary </h3> The Human Capital Offering Portfolio focuses on helping organizations manage and sustain their performance through their most important asset: their people. To stay in front, organizations need to have real-time access to Human Capital insights, experts and innovative technology solutions that are designed to not only drive but sustain and extend organizational performance and engagement. Supporting the products and capabilities of the Human Capital Offering Portfolio, our Engineering team is full of passionate, energetic, and multi-talented engineers who are excited about building the world’s greatest personalized and business friendly applications. Recently building AI capabilities in all of our existing assets and building new AI enabled assets. Human Capital As-A-Service Today’s disruptive environment calls for a different mindset and a new approach to drive organizational performance and enhance human capital development now and in the future. Deloitte Human Capital as a Service brings that insight, through broad and deep capabilities to help our clients optimize people, process, and technology to thrive in an unpredictable world. Recruiting for this role ends on 12/31/2024. The AI Data Specialist in Deloitte’s Human Capital Consulting Asset Shop will lead the design, development, and deployment of innovative AI solutions to help clients leverage the power of artificial intelligence across their business processes. You will work closely with cross-functional teams including data scientists, engineers, and business consultants to design scalable AI architectures and integrate advanced machine learning models into business strategies. Your role is crucial in driving the adoption of AI technologies to transform client business models and deliver cutting-edge solutions. This role requires a deep understanding of Machine Learning, Statistics, Data Science, Generative AI, Large Language Models (LLMs), and Multimodal models. Additionally, the AI Data Specialist will help with recommendations for AI solution teams, focusing on modifying existing products and creating new ones. The ideal candidate will be passionate about designing, building, implementing, and maintaining industrial AI/ML/Generative AI applications. Leadership skills are essential to implement the latest AI techniques and to continuously improve the AI/ML development, delivery, and operations process. The role involves adhering to best practices from Software Engineering, DevOps, MLOps, and LLMOps. The AI Data Specialist will also help with translating project requirements into strategic solutions, ensuring the integration of cloud-native tools from major hyperscalers and machine learning to create chatbots, optimizations, and cognitive services. This role requires a blend of technical expertise and the ability to bridge the gap between intricate business challenges and transformative AI solutions. Work you’ll do: Strategic Alignment and Vision <ul> <li>Help define the AI/ML/GenAI technical direction and vision, ensuring alignment with strategic goals and digital transformation efforts.</li> <li>Translate the vision of business leaders into realistic technical implementations, while identifying misaligned initiatives and impractical use cases</li> </ul> Architectural Design <ul><li>Design end-to-end AI architectures, from data ingestion to model deployment, integrating with cloud and on-premises systems.</li></ul> Design and Technology Selection <ul> <li>Select appropriate technologies from a pool of open-source and commercial offerings, considering deployment models and integration with existing tools.</li> <li>Understand and contribute to MLOps and LLMOps, focusing on operational capabilities and infrastructure to deploy and manage machine learning models and large language models.</li> </ul> Research and Development <ul> <li>Conduct research to provide technical solutions to scale AI/ML powered features for real-world challenges, making trade-offs based on quality, scalability, performance, and cost.</li> <li>Lead the development of AI models (e.g., machine learning, natural language processing, computer vision) and implement scalable AI solutions.</li> </ul> Collaboration and Stakeholder Engagement <ul> <li>Collaborate with Enterprise, Application, Data &amp; DevOps teams, Data scientists, Machine Learning &amp; GenAI Engineers, and Business teams to pilot use cases and discuss best design.</li> <li>Gather inputs from multiple stakeholders to align technical implementation with existing and future requirements.</li> </ul> Consulting &amp; Advisory <ul><li>Serve as a technical advisor to leadership, providing insights on AI trends, potential business impacts, and implementation best practices.</li></ul> Operational Excellence and Continuous Improvement <ul> <li>Be responsible for the successful execution of AI-powered applications using agile methodology.</li> <li>Audit AI tools and practices across data, models and software engineering, focusing on continuous improvement and feedback mechanisms.</li> <li>Contribute to standardizing CI/CD pipelines, user and service roles, and container creation, model consumption, testing, and deployment methodology based on business and security requirements.</li> </ul> Risk Management and Ethical Considerations <ul> <li>Work closely with security and risk leaders to foresee and mitigate risks, ensuring ethical AI implementation and compliance with upcoming regulations.</li> <li>Address potential issues such as training data poisoning, AI model theft, and adversarial samples.</li> </ul> Product Strategy and Business Understanding <ul> <li>Help AI product managers and business stakeholders understand the potential and limitations of AI when planning new products.</li> <li>Break down client problems and bring an understanding of leading technology, analytics methods, tools, and operating model approaches.</li> </ul> Tool Development and Data Management <ul> <li>Build tools and capabilities that assist with data ingestion, feature engineering, data management, and organization.</li> <li>Design, implement, and maintain distributed computing solutions for data processing and model training, ensuring the security, scalability, and reliability of machine learning infrastructure.</li> </ul> Required Qualifications: <ul> <li>Bachelor's Degree in any of Computer Science, Statistics, Data Science or a related field.</li> <li>6+ years of related consulting experience leading a team (both onshore and offshore).</li> <li>6+ years of experience gathering non-functional requirements, performing designed and validated application architecture frameworks, and executing functional and testing assignments.</li> <li>5+ years of experience working in an AI environment.</li> <li>5+ years of experience translating requirements into client ready design documents.</li> <li>5+ years of experience with application architecture analysis, design, and delivery</li> <li>5+ years of full system development life cycle implementations</li> <li>Ability to travel 0-25%, on average, based on the work you do and the clients and industries/sectors you serve.</li> <li>Limited immigration sponsorship may be available.</li> </ul> Preferred Qualifications: <ul> <li>Advanced degrees such as Masters or PhD are preferred</li> <li>Certifications in AI/ML technologies and Cloud platforms, such as AWS Certified Machine Learning – Specialty, Google Cloud Professional Machine Learning Engineer, Azure AI Engineer, Azure Data Scientist, or Azure Solutions Architect</li> <li>5 + years of experience in Data Science, Statistics, and Machine Learning</li> <li>5+ years of experience in Generative AI/LLMs, preferably experienced in delivering and productionizing</li> <li>5+ years of experience in machine learning model development, natural language processing, and data analysis; Experienced in Supervised and Unsupervised learning, feature engineering, model training, and deployment</li> <li>5+ year of experience in implementing cloud-based AI/ML workloads on any of AWS, Microsoft and Azure.</li> </ul> Information for applicants with a need for accommodation: <a href="https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html" target="_blank">https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html</a> Possible Locations: Atlanta, Austin, Baltimore, Birmingham, Boca Raton, Boise, Boston, Charlotte, Chicago, Cincinnati, Cleveland, Columbus, Costa Mesa, Dallas, Davenport, Dayton, Denver, Des Moines, Detroit, Fort Worth, Fresno, Grand Rapids, Harrisburg, Hartford, Houston, Indianapolis, Jacksonville, Jersey City, Kansas City, Las Vegas, Los Angeles, Louisville, McLean, Memphis, Miami, Midland, Minneapolis, Morristown, Nashville, New Orleans, New York, Philadelphia, Pittsburgh, Portland, Princeton, Raleigh, Richmond, Rochester, Rosslyn, Sacramento, Salt Lake City, San Diego, San Francisco, San Jose, Seattle, St. Louis, Stamford, Tampa, Tempe, Tulsa, Washington DC The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $159,375 to $265,625 You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. For more information about Human Capital, visit our landing page at: <a href="https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-human-capital-consulting-jobs.html" target="_blank">https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-human-capital-consulting-jobs.html</a> #HC25 #HCaaS25 Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. <a href="https://www2.deloitte.com/us/en/pages/careers/topics/recruiting-tips.html" target="_blank">Check out recruiting tips from Deloitte recruiters.</a> Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. <a href="https://www2.deloitte.com/us/en/pages/careers/articles/life-at-deloitte-benefits-and-rewards.html" target="_blank">Learn more about what working at Deloitte can mean for you.</a> Our people and culture Our diverse, equitable, and inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our client most complex challenges. This makes Deloitte one of the most rewarding places to work. <a href="https://www2.deloitte.com/us/en/pages/about-deloitte/articles/deloitte-inclusion.html" target="_blank">Learn more about our inclusive culture.</a> Our purpose Deloitte’s purpose is to make an impact that matters for our clients, our people, and in our communities. We are creating trust and confidence in a more equitable society. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. We are focusing our collective efforts to advance sustainability, equity, and trust that come to life through our core commitments. <a href="https://www2.deloitte.com/us/en/pages/about-deloitte/articles/purpose-at-deloitte-us.html" target="_blank">Learn more about Deloitte's purpose, commitments, and impact.</a> Professional development From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career.

14 Data Science Jobs in Richmond, VA, USA