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Making a Difference The State of Wisconsin Investment Board (SWIB), founded in 1951, is a premier global investment organization responsible for managing the more than $162 billion of assets of the fully funded Wisconsin Retirement System (WRS), the State Investment Fund and other state funds. Through SWIB’s effective and innovative investment management, WRS remains one of the only fully funded US public pensions. The WRS consistently ranks among the 10 largest public pension funds in the U.S. SWIB is recognized by the investment industry for our teamwork and innovation. SWIB pursues sophisticated global investment strategies across the asset and risk allocation spectrum. Providers across the investment ecosystem seek to partner with SWIB. Serving more than 692,000 beneficiaries of the WRS, SWIB is a mission-driven organization focused on providing a strong financial future to those who committed their careers to public service. For public employees and the 1,607 Wisconsin employers who contribute on their behalf, we are a trusted partner. Our team innovates continuously to meet the challenges of an evolving investment landscape while growing and protecting the assets of the WRS. SWIB provides a strong, steady economic pillar for the state of Wisconsin by growing the trust funds under its management, managing risk, and optimizing costs of the long term. We are a mission-driven organization and the participants we serve are our mission. By bringing a disciplined, prudent, and innovative approach to market opportunities, SWIB has been successful in generating required returns and maintaining the trust of the beneficiaries and stakeholders of the funds we oversee. Home To Top Talent Our high-performing staff is key to what makes us a premier investment manager. SWIB is committed to investing in talented professionals to implement our robust, sophisticated investment strategies and to keep the organization at the forefront of the investment industry. We encourage innovation and offer professional development opportunities to help staff sharpen and expand their skills. Approximately 61 percent of SWIB’s investment professionals are Chartered Financial Analyst (CFA) charterholders. Job Description: About the Team The Data Strategy & Information Delivery Division is a growing, client service-oriented team. We are business-centric, working closely with the investment management and operational teams to anticipate and meet their complex information and reporting needs. With the combination of Data Science, Reporting, and Data Management, we are transforming SWIB into a premier data driven organization. Position Overview SWIB is seeking a Data Science intern to work on the Data Science team. The intern will work up to 40 hours per week over the summer, with the possibility of further work for 10-15 hours per week during the school year, if the selected candidate is local. Essential activities: Assist in collecting, cleaning, and analyzing large investment and market datasets. Support development of predictive models, statistical analyses, and data visualizations to guide investment strategies. Collaborate with cross-functional teams, including portfolio managers, to translate business needs into actionable data solutions. Participate in research initiatives focused on alternative data, quantitative analytics, and emerging investment technologies. Document methodologies, findings, and recommendations. The Ideal candidate: Ability to work in Madison, WI for an approximate 10-week period beginning late May/early June 2026. Ability to understand results in context (i.e. when does something look wrong). Working with large, structured data sets. Interest in investment management and quantitative finance. Background in Agile methodologies. Extensive SQL background. Passion for AI/ML. Additional technologies may include R, Python, Power BI.

Who We Are Verily is a subsidiary of Alphabet that is using a data-driven approach to change the way people manage their health and the way healthcare is delivered. Launched from Google X in 2015, our purpose is to bring the promise of precision health to everyone, every day. We are focused on generating and activating data from a variety of sources, including clinical, social, behavioral and the real world, to arrive at the best solutions for a person based on a comprehensive view of the evidence. Our unique expertise and capabilities in technology, data science and healthcare enable the entire healthcare ecosystem to drive better health outcomes. Description This is a paid 12-month program for graduate students who are interested in working at the intersection of technology, data science, and healthcare. The program is designed for all students, and again this year we encourage students who have been historically underrepresented in this field to explore the program, which is a pathway towards full-time employment within Verily. This includes but is not limited to: Black/African-American, Latinx/Hispanic, Native American, students with disabilities, veterans, and non-binary people. As a PhD Research Scholar on the Clinical AI team at Verily, you will contribute to our mission of transforming healthcare through scalable, real-world data (RWD) curation and AI-driven tools. You’ll work on key problems involving electronic health records (EHRs), clinical narratives, and foundational models to help us build high-quality longitudinal datasets and intelligent systems that power precision health at scale. This internship provides the opportunity to lead independent research, publish findings, and work collaboratively with engineering, clinical, and product teams. Join us for a unique 6-month OR 12-month Research Scholar program starting in 2025. Responsibilities Collaborate with cross-functional teams to develop and refine machine learning models using real-world healthcare data. Design and prototype NLP/LLM solutions to extract insights from unstructured clinical text. Support development of foundational datasets through multi-source data integration and clinical concept abstraction. Conduct literature reviews and comparative evaluations to inform model design and healthcare applications. Communicate progress through internal presentations and, where applicable, contribute to academic publications. Qualifications Minimum Qualifications: Currently pursuing a PhD in Computer Science, Biomedical Informatics, Statistics, Data Science, or a related technical field. 2+ years of experience applying machine learning or NLP to clinical or real-world healthcare data. Strong programming skills in Python and experience with ML/NLP frameworks such as TensorFlow, PyTorch, or HuggingFace. Experience working with electronic health records (EHRs), clinical notes, or medical ontologies. Preferred Qualifications: Familiarity with large language models (LLMs), including prompting, fine-tuning, or retrieval-augmented generation (RAG). Knowledge of medical terminologies (e.g., SNOMED CT, ICD-10, RxNorm) and ontological structuring. Experience developing production-ready ML pipelines or tools in healthcare or life sciences. Strong communication skills and ability to work collaboratively with technical and non-technical stakeholders. Interest in translating research into real-world, scalable applications. The US hourly range for this Research Scholar position is $53–$63 + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, or benefits. Verily Life Sciences LLC is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here . If you'd like more information on your EEO rights under the law, please click here . If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It’s transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We’re not waiting for the future to arrive. We’re shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together. The Crown Is Yours As a Data Science Engineering Manager, you'll lead a high-impact team that powers the personalized experiences for millions of customers. You'll manage a group of talented data scientists and engineers, guiding projects from concept to production and ensuring the delivery of scalable, high-performing machine learning systems. In this role, you'll collaborate across Product, Engineering, and other business functions to align priorities and drive measurable outcomes. Beyond execution, you'll shape strategic direction, foster a culture of innovation, and elevate technical standards across the organization. What You'll Do Lead, manage, and mentor a team of data scientists and engineers focused on delivering impactful personalization initiatives. Guide your team through the Software Development Lifecycle (SDLC), championing technical rigor and engineering best practices. Partner with Product, Engineering, and business stakeholders to scope projects, prioritize work, and deliver high-value, data-driven solutions. Foster a team culture of collaboration, experimentation, and continuous improvement. Conduct regular performance evaluations, deliver constructive feedback, and identify opportunities for growth and development. Set strategic priorities and align your team’s roadmap with larger business goals and outcomes. Promote software engineering and MLOps best practices, including automation, containerization, monitoring, and testing. Stay current on trends in machine learning, personalization, and gaming to continuously evolve our capabilities. What You'll Bring Bachelor's degree in Computer Science, Data Science, Machine Learning, or a related field; advanced degree preferred. At least 5 years of experience in data science or machine learning engineering, including 2 or more years in a formal leadership or management role. Proven expertise in Python and SQL, with experience working across modern data platforms and cloud environments. Strong understanding of the Software Development Lifecycle and experience leading teams through delivery cycles. Hands-on experience with machine learning systems, statistical modeling, and experimentation frameworks. Deep familiarity with DevOps and MLOps concepts, including containerization, automation, and production monitoring. Exceptional communication and collaboration skills, with the ability to influence cross-functional teams and executives. Experience in the gaming industry or a related domain is a strong plus. Join Our Team We’re a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don’t worry, we’ll guide you through the process if this is relevant to your role. The US base salary range for this full-time position is 160,000.00 USD - 200,000.00 USD, plus bonus, equity, and benefits as applicable. Our ranges are determined by role, level, and location. The compensation information displayed on each job posting reflects the range for new hire pay rates for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific pay range and how that was determined during the hiring process. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Founded in 1999, Viking Global Investors ("Viking") is a global investment firm with a long-term, fundamental, research-intensive approach to investing. Viking manages over $53 billion of capital across public and private investments. Viking has offices in Stamford, New York, Hong Kong, London, and San Francisco, and is registered as an investment adviser with the U.S. Securities and Exchange Commission. For more information, please visit www.vikingglobal.com. INTERNSHIP OPPORTUNITY The Data Science Intern(s) will work closely with other members of the Data Science team, Investment Analysts, and Data Engineers to analyze, extend, and build on Viking's significant repository of alternative data assets and generate actionable investment insights. We seek an analytical and creative problem solver and provide them with the resources and tools to apply their Data Science training and experience to our most pressing and interesting research questions. The Data Science Intern will both work independently and collaborate with other intellectually curious quantitative professionals. We are open to different durations, start dates, and full-time vs. part time options for the ideal candidate. Informational webinar: October 30, 6:00-7:00pm ET. Register here: https://vikingglobal.zoom.us/webinar/register/WN_8is_kqIVSNatM6_vo41FpA RESPONSIBILITIES Data Science Intern(s) will have the opportunity to develop impactful analyses and insights to be used across our investment process and organization. Activities could include but are not limited to: Develop and deliver predictive analytics on companies, sectors, and macroeconomic trends Deliver investment insights to the investment team from analysis using alternative data Develop methodologies to identify and evaluate investment opportunities in private companies Identify and evaluate new data sources Streamline the data life cycle, operating model, and process Test and evaluate new technologies to enhance our big data platform Create centralized and automated analyses and processes Contribute to Viking's overall research effort by sharing information and insights across the firm QUALIFICATIONS Across the firm, we attract motivated, intellectually curious, and analytically rigorous people who are passionate about learning and creating impact. The ideal candidate will possess the following traits: A strong performer currently enrolled in a Master's degree or in a PhD program (3rd year and above) in Data Science, Economics, Finance, Statistics, or related quantitative fields Strong communication skills, with the ability to convey complex ideas to a non-technical audience Independence of thought and ability to carry out a research project with partial supervision Proficiency in Python and statistical libraries, and working knowledge of SQL, BI software (e.g., Tableau), and cloud technologies Sound judgment and ability to take a step back from the analysis and look at the big picture Passion for research, proactive and self-motivated Commitment to excellence APPLICATION: Please submit your resume / application through the Viking career site via this link: https://job-boards.greenhouse.io/vikingglobalinvestors/jobs/5658261004 Please remember to indicate your school name on the application page. In addition to your resume as a single PDF document, a supplement to the application is required. In 1-2 pages, describe a quantitative research project that you recently completed. Please include the following details and attach this supplement and your resume as a single document: The research question you were trying to answer The data you used Your approach, including details on the statistical methodologies Your findings The computational environment (e.g., language, main libraries, etc.) Please note our application deadline is November 11, 2025 (11:59PM EST). Incomplete applications will not be considered. Interview process: Our interviews will take place virtually in December. The base salary range for this position in New York City is annual $175,000 to $250,000. In addition to base salary, Viking employees may be eligible for other forms of compensation and benefits, such as a discretionary bonus,100% coverage of medical and dental premiums, and paid lunches. Actual compensation for successful candidates will be individually determined based on multiple factors including, but not limited to, a candidate's skill set, experience, education, and other qualifications. For more information on our benefits, please visit www.vikingglobal.com/life-at-viking/ Viking is an equal opportunity employer. Questions about your candidacy and requests for reasonable accommodation in the recruitment process should be directed to campusrecruiting@vikingglobal.com. CONTACT: Viking Campus Recruiting Team campusrecruiting@vikingglobal.com

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: People Leader All Job Posting Locations: Cambridge, Massachusetts, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description: Johnson & Johnson Innovative Medicine is recruiting for a Director, AI Tools Expert. The position location is flexible to either Titusville, NJ; Cambridge MA; Spring House, PA; or Zug, Switzerland. This position will require up to 25% travel. For Switzerland based applicants, please use requisition: R-036328 Johnson & Johnson Innovative Medicine develops treatments that improve the health of people worldwide. Research and development areas encompass oncology, cardiovascular and metabolic disorders, immunology, pulmonary hypertension, retinal disorders, and neuroscience. Our goal is to help people live longer, healthier lives. We have produced and marketed many first-in-class prescription medications and are poised to serve the broad needs of the healthcare market – from patients to practitioners and from clinics to hospitals. To learn more about Janssen, one of the Pharmaceutical Companies of Johnson & Johnson, visit https://www.janssen.com/johnson-johnson-innovative-medicine . About the Role: We are looking for a dedicated AI Tools Expert to champion approved AI tools such as Intelligent Chat and Copilot. This role will serve as the subject matter expert, guiding responsible and confident adoption of these tools to enhance productivity, innovation, and responsible use. Key Responsibilities: Act as the SME and champion for approved AI tools, providing guidance, training, and support. Develop and share best practices, guardrails, and responsible use guidelines for AI tools. Showcase successful use cases and demonstrate productivity benefits. Collaborate with technical teams and end-users to gather feedback and optimize deployment strategies. Drive responsible, confident adoption of AI tools, ensuring compliance with governance and ethical standards. Qualifications: Bachelor’s degree or higher; technical background or experience with AI tools preferred. Proven expertise in AI tools, digital platforms, or related technologies. Strong communication, training, and stakeholder engagement skills. Ability to simplify complex technical concepts for diverse audiences. Passion for responsible innovation and productivity through AI. Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center (ra-employeehealthsup@its.jnj.com) or contact AskGS to be directed to your accommodation resource. The anticipated base pay range for this position is $160,000 - $276,000 Additional Description for Pay Transparency Employees and/or eligible dependents may be eligible to participate in the following: Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Employees may be eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)). This position is eligible to participate in the Company’s long-term incentive program. Employees are eligible for the following time off benefits: – Vacation – up to 120 hours per calendar year – Sick time - up to 40 hours per calendar year; for employees who reside in the State of Washington – up to 56 hours per calendar year – Holiday pay, including Floating Holidays – up to 13 days per calendar year – Work, Personal and Family Time - up to 40 hours per calendar year #JRDDS #JNJDataScience #JNJIMRND-DS

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world. AI GenAI Data Science Internship Overview: ​ You will be part of a growing and dynamic Advanced Intelligence (AI) team whose main goal is to develop Generative AI solutions or methods to support business goals through out Lilly. ​​ Responsibilities: ​ Partner with business teams to identify, scope, and execute Generative AI efforts that answer business questions, solve business needs, and add business value Maintain a broad understanding of business needs to be fully engaged with business teams, bringing an objective voice to the table, and facilitating decisions grounded in data Collaborate with other GenAI team members to review and provide feedback on the GenAI work being done, and be willing to seek feedback from other team members about your own work Stay current with respect to Generative AI methodology, to maintain proficiency in applying new and varied methods, and to be competent in justifying methods selected Lilly internships last for 12 continuous weeks beginning in May or June. Each intern will be assigned a project affording the opportunity to actively contribute to the organization and build a comprehensive understanding of the pharmaceutical industry. Professional development and social events will be held throughout the summer. At the conclusion, each intern will present their project highlights, findings, recommendations, and general internship accomplishments to senior leaders and stakeholders. ​​ Requirements: ​ ​Currently enrolled in and attending school. PhD student with at least three years of completed graduate work in Computer Science, Computer Engineering, Information Sciences, or closely related field. Expected graduation by August 2027 ​​ ​​ Desired Experience: ​ ​Deep and broad knowledge of Machine Learning and Generative AI methods and tools Deep understanding of NLP techniques and systems Proficiency with Python Interpersonal communication skills for effective customer consultation Teamwork and leadership skills Self-management skills with a focus on results for timely and accurate completion of competing deliverables Bring an insatiable desire to learn, to innovate, and to challenge yourself for the benefit of patients ​​ ​​ Additional Benefits: ​ ​All interns will be considered for full-time positions based on their internship performance and the business need Lilly arranges various intern activities including sporting events, dinners, lunch and learns, etc. to provide opportunities for socializing, professional development, and learning more about Lilly Interns will receive a competitive salary and free parking at their work site, as well as access to Lilly’s LIFE fitness center and bike garage If the intern's job position requires a move from another location, Lilly will provide travel arrangements and subsidized housing Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form ( https://careers.lilly.com/us/en/workplace-accommodation ) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response. Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status. Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women’s Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups. Actual compensation will depend on a candidate’s education, experience, skills, and geographic location. The anticipated wage for this position is $43,000 - $110,000 Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly’s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees. #WeAreLilly

Collegiate Faculty, Teaching and Learning - Data Science Department of Cybersecurity 12-Month Collegiate Faculty Location: Adelphi, MD (Hybrid) The Collegiate Faculty, Teaching & Learning (TL) position fosters excellence in instruction, pedagogy, and the Scholarship of Teaching and Learning (SoTL). Reporting to the Associate Dean, this faculty member serves as a thought leader and mentor in evidence-based teaching practices, directly supporting UMGC’s mission to deliver high-quality, student-centered learning experiences. The TL faculty has a deep understanding of the entirety of the student experience – inclusive of the associated support and co-curricular services provided by teams outside the school and outside GALE – and leverages that knowledge to collaborate in ensuring a cohesive, supported, and consistent learner experience. By teaching 18 credits annually and leading peer evaluations, the TL Faculty ensures instructional quality and supports continuous improvement across the academic portfolio. Success in this role is measured by the ability to elevate instructional practices, disseminate research-informed strategies, and mentor peers to achieve excellence in teaching and student outcomes. Key Duties and Responsibilities: Teach 18 credits per academic year in area(s) of disciplinary expertise, demonstrating instructional effectiveness and engagement with diverse learners in online environments. Serve as a faculty lead for the peer evaluation process, establishing expectations, coaching colleagues, and synthesizing findings to improve instructional performance. Conduct and disseminate Scholarship of Teaching and Learning (SoTL) projects that align with strategic academic goals and contribute to pedagogical innovation across the school. Collaborate with the Integrative Learning Design (ILD) team to evaluate instructional strategies and integrate learning science into course content and teaching practices. Perform product reviews of Corporate Learning Solutions (CLS) offerings, ensuring alignment with academic rigor and workforce relevance. Collaborate with the Faculty Affairs and Scheduling Team (FAST) to develop and deliver faculty development resources and workshops that support instructional improvement and the adoption of emerging teaching technologies. Partner with assessment faculty and curriculum teams to use learning analytics for continuous improvement in student learning and course success. Maintain active engagement in discipline-related professional associations, conferences, and communities of practice to ensure up-to-date pedagogical expertise. Contribute to a culture of teaching excellence by mentoring adjunct faculty and leading initiatives related to instructional quality and inclusive pedagogy. Perform other duties as assigned by the Associate Dean, including participation in school-wide instructional initiatives and teaching-related working groups. Competencies: Disciplinary knowledge in the portfolio area Teaching excellence and innovation Adult and online learning expertise Peer mentorship and coaching Scholarship of Teaching and Learning Data-informed instructional improvement Communication and collaboration Skills: Instructional design literacy Facilitation of faculty peer evaluations Academic writing and research dissemination Online course engagement techniques Data analysis for teaching improvement Workshop and training development Key Collaborators: Associate Dean: To align faculty development and instructional quality goals with broader portfolio strategies and student success objectives. Fellow Teaching & Learning Collegiate Faculty: To collaborate on cross-functional teaching innovations, instructional reviews, and peer evaluations. Assessment & Evaluation Collegiate Faculty: To integrate learning analytics into teaching strategies and ensure alignment with program-level learning outcomes. Course Development & Administration Collegiate Faculty: To identify course-level improvements within portfolio clusters to enhance the teaching and learning experience. Faculty Affairs and Scheduling Team (FAST): To support faculty onboarding, evaluation, and development in alignment with university standards. Integrative Learning Design (ILD): To embed evidence-based practices into course design and support continuous improvement of teaching materials. Student Affairs and Advising Teams: To promote cohesive learner experiences and support students with effective teaching strategies and communication. Minimum Education & Experience Requirements: Education: Terminal or Doctorate degree in Data Science, Computer Science, Statistics, Information Systems, or a relevant academic or industry-related field from an accredited institution is required Experience: Demonstrated ability to get things done. Minimum of 8 years of academic, professional, or teaching experience, including at least 3 years of teaching. Certifications: None required Location : The position is hybrid, although travel to Adelphi, MD is required on an occasional basis. Preferred Education & Experience Requirements: Experience: Experience with the Scholarship of Teaching and Learning, peer evaluation leadership, adjunct faculty support, and teaching in asynchronous online environments. Discipline-related work experience in non-academic environments is desired. Certifications: Relevant industry certification(s) if applicable. Work environment and physical demands: Work is typically performed in an online or hybrid academic environment. The role requires engagement in faculty collaboration, instructional development, and research activities. All submissions should include a cover letter and resume . The University of Maryland Global Campus (UMGC) is an equal opportunity employer and complies with all applicable federal and state laws regarding nondiscrimination. UMGC is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, ancestry, political affiliation or veteran status in employment, educational programs and activities, and admissions. Workplace Accommodations: The University of Maryland Global Campus Global Campus (UMGC) is committed to creating and maintaining a welcoming and inclusive working environment for people of all abilities. UMGC is dedicated to the principle that no qualified individual with a disability shall, based on disability, be excluded from participation in or be denied the benefits of the services, programs, or activities of the University, or be subjected to discrimination. For information about UMGC’s Reasonable Workplace Accommodation Policy or to request an accommodation, applicants/candidates can contact Employee Accommodations via email at employee-accommodations@umgc.edu . Benefits Package Highlights: Generous Time Off: Enjoy 22 days of paid vacation, 15 days of sick leave, 3 personal days, and 15 paid holidays (16 during general election years). Comprehensive Health Coverage: Access to health care, medical with vision, dental, and prescription plans for both individuals and families, effective from the 1st of the month following your hire date. Insurance Options: Term Life Insurance, Accidental Death and Dismemberment Insurance, and Long-Term Disability Insurance. Flexible Spending Accounts: Available for medical and dependent care expenses. Retirement Plans: Choose between the Optional Retirement Program (ORP) or the Maryland State Retirement and Pension System (MSRPS). Supplemental Retirement Plans: include 401(k), 403(b), 457(b), and various Roth options. The university does not provide matching funds. Tuition Remission: Immediate availability for Collegiate Faculty. Spouses and dependent children are eligible for undergraduate tuition remission after two years of service. See flyer for additional information on benefits SS Collegiate Faculty_2023.pdf (umgc.edu) Hiring Range: Instructor: 85,000-95,000 Assistant Professor: 100,000-110,000 Associate Professor: 119,000-129,000 Professor: 130,000-140,000

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: People Leader All Job Posting Locations: Cambridge, Massachusetts, United States of America, La Jolla, California, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description: Johnson & Johnson Innovative Medicine (IM) is recruiting for a Director of AI Optimization and Product ization - R&D Data Science & Digital Health. This position can be located in Titusville, NJ; Spring H ouse, PA; La Jolla, CA; Cambridge, MA or London, United Kingdom . This position will require up to 25% travel. For candidates based in the UK, please use Req: Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine About the Role : We are looking for a n experienced technical , hands-on, leader in AI optimization and productization to join our Data Science & Digital Health (DSDH) team within Research & Development (R&D). This role reports directly to the Vice President of AI/ML & Digital Health . T he team will support the training , optimization, and deployment of AI models and AI products across the R&D value chain. In close collaboration with Johnson & Johnson Technology (JJT), this leader will leverage enterprise MLOps and DevOps frameworks to implement good AI development practices and life cycle management across DSDH AI projects . A key focus will be optimizing AI models and code for large-scale training , inference performance, and product deployment, working alongside JJT and external partners . Additionally, the role will guide the development of AI applications in areas such as discovery, biomarkers, and clinical endpoints. This leader will engage across the enterprise, partnering with DSDH teams, JJT, and therapeutic areas within J&J Innovative Medicine R&D, while also interfacing with senior stakeholders throughout the organization. Responsibilities Collaborate with AI scientists in DSDH, R&D partners, and JJT to optimize AI models for large-scale training, inference performance, and their deployment in AI products. Guide and supervise the productization of AI models into applications deployed within R&D or clinical trials for discovery, biomarkers, and clinical endpoints. Oversee the use of enterprise MLOps frameworks within DSDH in close collaboration with JJT, following company best practices and frameworks and managing the life cycle of DSDH AI models . A ctively modeling and planning for compute capacity across DSDH projects, in partnership with the DSDH Data Strategy & Platform team and JJT Work closely with DSDH, JJT, therapeutic areas, functions, and senior stakeholders across the enterprise to promote cross-functional collaboration and stakeholder engagement . Attract, grow , and lead a high-performing technical team focused on AI optimization , productization , and life cycle management . Mentor junior team members and foster a culture of continuous learning . Qualifications Advanced degree (PhD or Master’s) in Computer Science, Machine Learning , Biomedical E ngineering , or a related field . A dditional training or certification in MLOps , AI optimization, product life cycle is a plus 8 + years of experience in AI model development, model optimization, and deployment , including managing product life cycle (design, development, testing, deployment, operations & maintenance, etc.). Excellent coding and software development capabilities, effectively leading a technical team and partners towards the creation of scalable AI solutions . Deep expertise in using MLOps frameworks, deployment pipelines, and monitoring tools, including familiarity with cloud platforms and containerization tools. Experience with AWS is preferred. Experience with Agile and DevOps methodologies Experience with regulatory compliance and governance ( e.g. GxP , SaMD , etc.) . Strong experience in leading a technical team , and ability to work in a matrixed organization on complex, multi-stakeholder projects Excellent communication skills and strategic thinking capabilities. Ability to align technical execution with strategic business goals and enterprise-wide initiatives and frameworks . Experience in Life Sciences , Healthcare, Pharmaceutical or Medical Tech sector is preferred Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center (ra-employeehealthsup@its.jnj.com) or contact AskGS to be directed to your accommodation resource. The anticipated base pay range for this position is $160,000 - $276,000 Additional Description for Pay Transparency Employees and/or eligible dependents may be eligible to participate in the following: Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Employees may be eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)). This position is eligible to participate in the Company’s long-term incentive program. Employees are eligible for the following time off benefits: – Vacation – up to 120 hours per calendar year – Sick time - up to 40 hours per calendar year; for employees who reside in the State of Washington – up to 56 hours per calendar year – Holiday pay, including Floating Holidays – up to 13 days per calendar year – Work, Personal and Family Time - up to 40 hours per calendar year #JRDDS #JNJDataScience #JNJIMRND-DS

At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It’s transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We’re not waiting for the future to arrive. We’re shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together. The Crown Is Yours We are looking for a Lead Data Science Engineer to join our Daily Fantasy Sports reinvestment team, where we focus on understanding and optimizing how players engage with our DFS products over time. As a Lead Data Science Engineer, you will be responsible for building advanced models and algorithms, analyzing large-scale behavioral datasets, and driving measurable impact through experimentation and productionized solutions. What you'll do as a Lead Data Science Engineer Lead end-to-end modeling projects to improve customer engagement and retention, from ideation to production deployment. Build, test, and optimize machine learning models to forecast user behavior, personalize promotions, and enhance Sportsbook product engagement. Partner with engineers, analysts, product managers, and marketers to translate insights into scalable solutions embedded within customer-facing systems. Mentor junior data scientists and share modeling and engineering best practices across the team. Clearly communicate findings and the impact of your models to stakeholders to influence product and marketing strategy. What you'll bring Proven experience applying machine learning and statistical modeling to solve real-world business problems, ideally in marketing or customer lifecycle contexts. Experience leading and coaching other data scientists Strong proficiency in Python (or R) and experience working with large datasets using SQL and distributed computing platforms. Ability to structure and execute data science projects and deliver business value through production-ready models. Excellent communication and collaboration skills to work effectively across technical and non-technical teams. A Bachelor’s degree in a relevant field such as Computer Science, Statistics, Mathematics, or a related discipline. Join Our Team We’re a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don’t worry, we’ll guide you through the process if this is relevant to your role. The US base salary range for this full-time position is 140,800.00 USD - 176,000.00 USD, plus bonus, equity, and benefits as applicable. Our ranges are determined by role, level, and location. The compensation information displayed on each job posting reflects the range for new hire pay rates for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific pay range and how that was determined during the hiring process. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

In a world of possibilities, pursue one with endless opportunities. Imagine Next!When it comes to what you want in your career, if you can imagine it, you can do it at Parsons. Imagine a career working with exceptional people sharing a common quest. Imagine a workplace where you can be yourself. Where you can thrive. Where you can find your next, right now. We’ve got what you’re looking for. Job Description: Parsons is looking for an amazingly talented Artificial Intelligence/Data Science Engineer to join our team! In this role you will become a member of the Parsons’ TEAMS NEXT support staff with a primary work assignment supporting the Missile Defense Agency’s Command, Control, Battle Management and Communications (C2BMC) Development organization. This assignment requires a seasoned professional that is experienced with AI initiatives aimed at supporting business operations efficiencies. What You'll Be Doing: Develop and integrate agentic AI tools and pipelines across the Directorate functional and product offices leveraging unstructured data sets. Develop BizOps support using MIRA and METRIC tools to support C2BMC acquisitions Develop AI Description Documents (AIDDs) and Use Cases for senior level review Develop AI minimum viable products (MVPs) Support/drive the transformation of C2BMC AIRLs Support/drive the transformation of C2BMC DRLs What Required Skills You'll Bring: Master's degree in STEM and 12+ years of relevant experience Active Secret clearance required Experience as Artificial intelligence (AI)/Data Engineer Experience with AI pipeline development (specifically Palantir Foundry) Understanding of AI commercial use of AI models, large language models, and agentic AI What Desired Skills You'll Bring: Experience with Missile Defense Agency preferred Security Clearance Requirement: An active Secret security clearance is required for this position.​This position is part of our Federal Solutions team.The Federal Solutions segment delivers resources to our US government customers that ensure the success of missions around the globe. Our intelligent employees drive the state of the art as they provide services and solutions in the areas of defense, security, intelligence, infrastructure, and environmental. We promote a culture of excellence and close-knit teams that take pride in delivering, protecting, and sustaining our nation's most critical assets, from Earth to cyberspace. Throughout the company, our people are anticipating what’s next to deliver the solutions our customers need now.Salary Range: $120,800.00 - $217,400.00We value our employees and want our employees to take care of their overall wellbeing, which is why we offer best-in-class benefits such as medical, dental, vision, paid time off, Employee Stock Ownership Plan (ESOP), 401(k), life insurance, flexible work schedules, and holidays to fit your busy lifestyle!Parsons is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status or any other protected status.We truly invest and care about our employee’s wellbeing and provide endless growth opportunities as the sky is the limit, so aim for the stars! Imagine next and join the Parsons quest—APPLY TODAY! Parsons is aware of fraudulent recruitment practices. To learn more about recruitment fraud and how to report it, please refer to https://www.parsons.com/fraudulent-recruitment/ .

Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat , a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio , an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles . The Data Science & Insights team seeks to leverage our massive data sets into actionable insights that deliver business value. As truth seekers and truth tellers, we relay what the data says without bias, even when inconvenient or difficult. We aim to improve decision-making quality and speed across the organization to enable a deeper understanding of our customers and products. We focus on efficient and effective analytic execution, positioning ourselves as the go-to experts with deep knowledge and expertise, constantly striving for better, faster insights from data. We’re looking for a Manager, Data Science, Ads Ranking to join Snap Inc. What you’ll do Lead a team of data scientists focused on optimizing ad ranking, auction dynamics, and marketplace efficiency to maximize advertiser value and Snapchatter experience Help build and manage a team of high performing data scientists and help them execute along the most important priorities and deliver world-class products Establishes a positive, mutually supporting, inclusive and fun team environment where every employee can do their best Work cross-functionally and partner with product managers, engineers, and researchers to to develop data-driven strategies that shape product direction Conduct in-depth analysis of all data sources, asking the right questions, testing hypotheses, identifying patterns and providing the necessary business context to translate what it all means Deliver on data science and analytics roadmap including continuous improvement, accurate and timely reporting and measurement Define and drive the data science roadmap for ad ranking, including model development, experimentation, actionable insights and measurement framework Build scalable methodologies for experimentation and causal inference to assess the impact of ranking changes and new product features Translate complex technical findings into actionable insights and strategic recommendations for leadership and cross-functional stakeholders Provide strategic direction, project clarity, methodological consultation and deliver results both individually and through managing a high performing team Knowledge, Skills, Abilities: Experience leading ads data science teams with an in-depth understanding of auction dynamics, pricing, ranking, pacing and ad load Understanding of statistical analysis, experience with packages, such as R, MATLAB, Stata, etc. Working knowledge of predictive modeling, machine learning, and experimentation/ causal inference methods Expertise in the data workflow and pipeline and lead a team responsible for data capture, measurement, and optimization capability management Expertise in SQL and familiarity with Python Excellent communication skills, with high attention to detail Ability to initiate and drive projects to completion with minimal guidance Ability to balance practical business needs and scientific rigor Industrial knowledge in ad ranking or recommendation systems Minimum Requirements BS/BA degree in statistics, mathematics, economics, computer science, engineering or related field or equivalent years of experience 7+ years of experience in quantitative analysis & data science or a related field 3+ years experience in a leadership role within a data organization Preferred qualifications Advanced degree in a quantitative field (Economics, Computer Science, Physics) Experience forming partnerships with cross-functional leaders in engineering, product, design, research, etc. Proven track record in transforming data into meaningful insights and opportunities to drive growth and performance. Experience in a product-focused role at a social media, online advertising, digital media and/or mobile technology company If you have a disability or special need that requires accommodation, please don’t be shy and provide us some information . "Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week. At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, where applicable). Our Benefits : Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success! Compensation In the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future. Zone A (CA, WA, NYC) : The base salary range for this position is $229,000-$343,000 annually. Zone B : The base salary range for this position is $218,000-$326,000 annually. Zone C : The base salary range for this position is $195,000-$292,000 annually. This position is eligible for equity in the form of RSUs.

C3 AI (NYSE: AI), is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise. Learn more at: C3 AI C3 AI is searching for brilliant and ambitious Data Scientist Interns to join our Summer 2026 cohort. This isn't just about running models; you'll be on the front lines, working with iconic global brands on their digital transformation. You will tackle massive, complex datasets to build the next generation of enterprise AI applications that deliver real-world results. As a Data Science Intern, you are a problem-solver and a strategist. You will dive deep into customer challenges, partnering with our expert data scientists, software engineers, and industry specialists. Your mission will be to design and deploy sophisticated machine learning algorithms—from predictive maintenance to fraud detection—at an enterprise scale using our revolutionary C3 AI Suite. You won't just analyze data; you'll turn it into intelligence that drives critical business decisions. Responsibilities: Drive adoption of Deep Learning systems into the next generation of C3 AI products Design and deploy Machine Learning algorithms for industrial applications such as fraud detection and predictive maintenance Collaborate with data and subject matter experts from C3 AI and its customer teams to seek, understand, validate, interpret, and correctly use new data elements Qualifications: Pursuing MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent field Applied Machine Learning experience (regression and classification, supervised, and unsupervised learning) Experience with prototyping languages such as Python and R Strong mathematical background (linear algebra, calculus, probability, and statistics) Experience with scalable ML (MapReduce, streaming) Ability to drive a project and work both independently and in a team Smart, motivated, can-do attitude, and seeks to make a difference Proficient in spoken and written English Preferred Qualifications: Experience with JavaScript and Java Experience with time series and dynamical system A portfolio of projects (GitHub, papers, etc.) C3 AI provides excellent benefits and a competitive compensation package, which include: Salary range: $6,000 - $8,000 USD per month. At the office, we offer a fully stocked kitchen with catered lunches, a free on-site gym membership, Friday social hours with food, drinks, music, and plenty of opportunities to connect and network with your team. C3 AI is proud to be an Equal Opportunity and Affirmative Action Employer. We do not discriminate on the basis of any legally protected characteristics, including disabled and veteran status.

**Applicants must posses an active Top Secret clearance with SCI eligibility** MINIMUM SKILLS & EXPERIENCE: Experience and demonstrated knowledge in military Intelligence operations, processes, procedures, and authorities Provide personnel with strong Operations Research Systems Analysis (ORSA) qualifications to include experience in test design, measurement development, data collection, data analysis, and analytical report writing Minimum 9 years experience Strong writing and speaking skills

Data Science GraduateThis role has been designed as ‘Hybrid’ with an expectation that you will work on average 2 days per week from an HPE office. Who We Are: Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE. Job Description: This requestion may be classified as on desk or hybrid depending on location and role. Job Family Definition: Designs, develops and applies programs, methodologies and systems based on advanced analytic models (e.g. advanced statistics, operations research, computer science, process) to transform structured and unstructured data into meaningful and actionable information insights that drive decision making. Uses visualization techniques to translate analytic insights into understandable business stories (eg. descriptive, inferential and predictive insights). Embeds analytics into client’s business processes and applications. Combines business acumen and scientific methods to solve business problems. Management Level Definition: Contributes to assignments of limited scope by applying technical concepts and theoretical knowledge acquired through specialized training, education, or previous experience. Acts as team member by providing information, analysis and recommendations in support of team efforts. Exercises independent judgment within defined parameters. Responsibilities: Participates in the analysis and validation of data sets/solutions/user experience. Aids in the development, enhancement and maintenance of a client's metadata based on analytic objectives. May load data into the infrastructure and contributes to the creation of the hypothesis matrix. Prepares a portion of the data for the Exploratory Data Analysis (EDA) / hypotheses. Contributes to building models for the overall solution, validates results and performance. Contributes to the selection of the model that supports the overall solution. Supports the research, identification and delivery of data science solutions to problems. Supports visualization of the model's insights, user experience and configuration tools for the analytics model. Education and Experience Required: · Bachelor´s degree in Data Science, Statistics, Operations Research, Computer Science or equivalent. · Typically 0-2 years experience. Knowledge and Skills: Basic knowledge of data science methodologies. Basic understanding of business requirements and data science objectives. Basic data mapping, data transfer and data migration skills. Basic understanding of analytics software (eg. R, SAS, SPSS, Python). Basic knowledge of machine learning, data integration, and modeling skills and ETL tools (eg. Informatica, Ab Initio, Talend). Basic communication and presentation skills. Basic data knowledge of relevant data programming languages. Basic knowledge of data visualization techniques. Additional Skills: What We Can Offer You: Health & Wellbeing We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing. Personal & Professional Development We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division. Unconditional Inclusion We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. Let's Stay Connected: Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE. #unitedstates#grads Job: Engineering Job Level: TCP_01 States with Pay Range Requirement The expected salary/wage range for a U.S. -based hire filling this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. If this is a sales role, then the listed salary range reflects combined base salary and target-level sales compensation pay. If this is a non-sales role, then the listed salary range reflects base salary only. Variable incentives may also be offered. Information about employee benefits offered can be found at https://myhperewards.com/main/new-hire-enrollment.html . USD Annual Salary: $60,800.00 - $181,200.00 HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity . Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities. HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

About Suno Suno is a music company for the next generation of creators. Its AI-powered platform makes it easy for anyone to create original music. Built by musicians and engineers, Suno empowers users to turn ideas into fully produced tracks in minutes and unlocks a more rewarding music making experience full of endless new creative possibilities. Whether you're a first-time songwriter or a seasoned artist, Suno helps you make music that’s meaningful, personal, and uniquely yours. About the Role As our first Marketing Analyst , you'll establish and lead our growth analytics function, playing a foundational role in shaping Suno's growth strategy from the ground up. You'll work at the intersection of data science, analytics, and growth optimization, partnering closely with growth, product, and marketing teams to accelerate user acquisition and enhance user retention. This role combines deep analytical expertise with strategic thinking to unlock growth opportunities across the entire user journey, with significant influence on both paid marketing and product-led growth. This role is perfect for someone who thrives in open-ended and high-responsibility environments and is excited about the challenges and opportunities of joining an early-stage startup. Check out our Suno version of the job here! What You’ll Do Drive growth strategy through rigorous analysis of both product usage patterns and marketing channel performance Design and analyze experiments across product features and marketing campaigns to optimize user acquisition, activation, and retention Develop and maintain attribution models to understand the effectiveness of various growth channels and optimize marketing spend Build predictive models for user behavior, including conversion propensity, churn likelihood, and lifetime value Partner with data engineering to ensure robust data collection and transformation for growth analytics Partner with product and engineering teams to execute and prioritize growth projects Translate complex analyses into clear, actionable recommendations for stakeholders across product, marketing, and executive teams What You’ll Need 5+ years experience in data science, with specific experience in growth and paid / performance marketing Strong quantitative foundation and experience in statistical modeling Expertise in experimental design, with demonstrated experience running both product and marketing experiments Worked closely on defining and measuring growth, onboarding, and retention metrics Advanced proficiency in SQL and Python for data analysis, statistical modeling, and automation Excellent communication skills and experience working across multiple functions to influence key decisions A self-starter mentality with the ability to thrive in ambiguity, eagerness to wear multiple hats, and passion for continuous learning Perks & Benefits for Full-Time Employees Company Equity Package 401(k) with 3% Employer Match & Roth 401(k) Medical, Dental, & Vision Insurance (PPO w/ HSA & FSA options) 11 Paid Holidays + Unlimited PTO & Sick Time 16 Weeks of Paid Parental Leave Creative Education Stipend Generous Commuter Allowance In-Office Lunch (5 days per week) Additional Notes: Applicants must be eligible to work in the US. Suno employees are expected to work 5 days/week in one of our offices. Base Salary Range: $170,000 - $230,000

About Us:We deliver the most advanced and flexible learning experience for certification, credentialing, test prep, continuing education, and training. Our cloud-based learning platform helps training organizations, associations and the extended enterprise deliver a highly engaging and effective learning experience for individuals looking to advance their careers. We incorporate the latest in learner-centered technology, including personalization, gamification, data science, usability and omni-channel delivery.We’re sitting in a pivotal time in the BenchPrep history. The number of learners on our cloud-based learning platform has reached nearly 11 million as of 2024.We’re committed to helping people learn better, and that starts with our own people.This position is remote (along with all of our BenchPrep positions). BenchPrep is looking for a hardworking, ambitious Staff/Senior Accountant to support its growing operations. This position will report to the Controller.About the role:Within the Accounting function at BenchPrep, you'll play a pivotal role in our finance team. Your focus will be on maintaining accurate financial records, preparing reports, analyzing data, and ensuring regulatory compliance. You'll contribute to budgeting, forecasting, audits, and process improvements, supporting our financial health and strategic decision-making. The ideal candidate has a strong background in accounting, financial analysis, and reporting, along with excellent analytical skills, attention to detail, and the ability to communicate financial information effectively across the organization. Proactivity, problem-solving abilities, and a commitment to continuous improvement are also essential.The key components of the work you’ll be doing in this role are:Manage accounting function including account reconciliations, journal entries, AR, AP, and BillingAnalysis and review of company expenditures, confirming proper allocation of expenses to the various departments, and reporting to these departments as necessaryReview transactions to ensure accounting treatment is in accordance with GAAP and company policies and proceduresAnalyze billing transactions to ensure proper allocation of revenue recognition policiesReview general ledger accounts and making all necessary journal entries including posting monthly, quarterly, and yearly accrualsAssist in building financial statements including balance sheet, income statement, and changes in financial position, as well as budget variance analysisAssist in the design and preparation of budgets for review by managementPrepare year-end schedules for the annual tax returnsLook for ways to improve upon accounting processes and proceduresSkills and experiences we value:Bachelor’s degree in accounting; CPA preferred3-5 years (Staff Accountant), or 5-8 (Sr Accountant) years in accounting or auditing; public accounting experience preferredTeam player with a positive attitude towards contributing and learningThorough knowledge and experience in the areas of financial statement preparation, GAAP, and revenue recognitionStrong verbal/written communication skillsExcellent analytical and problem solving skillsAbility to work well independently and in a team environmentSelf starter, quick learner, and ability to multitask on a regular basisDetail-oriented with excellent organizational skills and deadline drivenCapacity to thrive in a fast-paced environmentStrong sense of ownership on issues and following through to completionAdvanced proficiency with Microsoft ExcelExperience working in accounting systems (NetSuite, Intacct, Quickbooks, etc.) strongly preferredNote: We know that excellent candidates can have all sorts of backgrounds and experiences, so please don’t hesitate to apply even if you don’t meet 100% of the listed requirements. And check out our blog post to learn more about inclusion at BenchPrep in the Engineering team."Life at BenchPrep: We work at BenchPrep because we’re dedicated to the mission, and each day we have an opportunity to be challenged and learn. We work hard and have lots of fun. Culture is our lifeline at BenchPrep. We celebrate our people, both professionally and personally. We care about learning so much that we offer employees $1,200 annually to develop their skills so they can continue to operate everyday with new skills. It’s no wonder we were selected in Inc’s Best Workplaces of 2024 and Crain’s 2020 Best Places to Work in Chicago lists.We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.We are looking for high performing and motivated professionals who are excited about the chance to leverage technology to impact the lives of millions of learners. Join us.At BenchPrep, we pride ourselves on offering a great total rewards package to each employee, including medical and ancillary benefits, potential for yearly bonus, stipends for work-from-home expenses, flexible paid time off (our version of unlimited PTO), annual professional development stipend dollars, and of course, a competitive base salary. The salary range for this position is between $65,000-$85,000, and is set based on Chicago market data. Please note this refers to the amount BenchPrep is willing to pay at the time of this posting.For information on how we collect and dispose of information, please view BenchPrep’s privacy policy statement here.

Ibotta is looking for a Technical Manager, Data Science to join our fast growing team! This role will build and lead a team of data scientists; as well as drive innovative solutions using machine learning, data analytics, and statistical modeling for internal and external partners. The ideal candidate will have experience developing and deploying models into production, the desire to serve as a leader and manager across the department, ability to evangelize data science, and willingness to provide descriptive analyses. You will also be responsible for working closely with cross-functional leaders to define and execute on Ibotta’s growth strategy. This position is located in Denver, Colorado as a hybrid position requiring 3 days in office (Tuesday, Wednesday, and Thursday). Candidates must live in the United States. What you’ll be doing: Work with cross functional leadership to understand business needs and prioritize the most impactful analytical projects to drive business decisions and growth Build and retain a team of highly motivated data scientists Confidently speak with internal and external stakeholders about foundational models and project deliverables Establish automated processes to scale insights across Ibotta Balance the management of core data & analytics deliverables Serve as a leader across the department, bringing operational and culture building best practices Research industry trends and standards to stay abreast of new developments and proactively suggest areas of improvement Embrace and uphold Ibotta’s Core Values: Integrity, Boldness, Ownership, Teamwork, Transparency & A good idea can come from anywhere What we’re looking for: 5+ years of experience in a measurement-driven function with experience working directly with leadership 2+ years of management experience Bachelor’s degree in computer science, data analytics, computer engineering, information systems required Experience hiring, leading, developing, and retaining talent Demonstrated analytical ability, conceptual thinking, and problem-solving skills. Experience in media measurement is strongly preferred. Strong written and verbal communication skills, able to distill complex analytical solutions into actionable insights Excellent interpersonal skills with the proven ability to collaborate across functional areas Curiosity and the commitment to continually ask questions of our data and business Excels in a fast-paced environment with the capability to prioritize effectively Industry experience causal inference, regression, A/B, ML, and/or advanced statistical modeling to build predictive and prescriptive models Experience using modern data analysis tools (SQL, Python, etc.) and data visualization tools (Looker, Tableau, Mode) About Ibotta ("I bought a...") Ibotta (NYSE: IBTA) is a leading performance marketing platform allowing brands to deliver digital promotions to over 200 million consumers through a network of publishers called the Ibotta Performance Network (IPN). The IPN allows marketers to influence what people buy, and where and how often they shop – all while paying only when their campaigns directly result in a sale. American shoppers have earned over $1.8 billion through the IPN since 2012. The largest tech IPO in history to come out of Colorado, Ibotta is headquartered in Denver, and is continually listed as a top place to work by The Denver Post and Inc. Magazine. To learn more about what our Tech teams are doing day to day, visit Building Ibotta on Medium.com . Additional Details: This position is located in Denver, CO and includes competitive pay, flexible time off, benefits package (including medical, dental, vision), Lifestyle Spending Account, Employee Stock Purchase Program, and 401k match. Denver office perks include paid parking, snacks and occasional meals. Base compensation range: $124,000 - $144,000. Equity is included in overall compensation package. This compensation range is specific to the United States labor market and may be adjusted based on actual experience. Total compensation for this role also includes a variable component in addition to base salary. Ibotta is an Equal Opportunity Employer. Ibotta’s employment decisions are made without regard with race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected status. Applicants must be currently authorized to work in the United States on a full-time basis. For the security of our employees and the business, all employees are responsible for the secure handling of data in accordance with our security policies, identifying and reporting phishing attempts, as well as reporting security incidents to the proper channels. #LI-Hybrid #BI-Hybrid

Director, Data Science and AI/MLData StrategyUS Exempt RegularFull timeStateside Exempt 4.4Location: Adelphi, MD (Hybrid) The selected candidate for this position will report on-site 2-3 days a week. We are seeking an experienced and dynamic Director of Data Science and AI/ML to lead our data science, AI and machine learning initiatives within a fast-paced, data-driven organization. This role demands a blend of deep technical expertise in machine learning, AI, and data engineering, combined with strong business acumen and strategic leadership. You will build and oversee a team of data scientists, AI, and machine learning engineers, guiding end-to-end solution delivery—from ideation, specification, and model development to scalable deployment, operationalization, monitoring, and continuous improvement—primarily leveraging Databricks. As a hands-on leader, you will balance strategic vision with direct technical involvement, driving the implementation of robust MLOps and AIOps processes that ensure reliability, efficiency, and continuous improvement of AI/ML solutions in production. A key aspect of your role will be building trust and credibility with both business stakeholders and technical teams to foster collaboration, alignment, and shared success. Duties and Responsibilities: Leadership & Strategy Define and execute the vision and roadmap for data science, AI, and ML capabilities aligned with business objectives. Lead, mentor, and grow a high-performing team of data scientists and ML engineers, fostering collaboration, trust, and continuous learning. Collaborate with cross-functional business leaders to identify, prioritize, and formalize AI/ML use cases and requirements, producing both formal and evolving specification and operational documents. Establish best practices, processes, and governance for model development, deployment, and lifecycle management, including AIOps and MLOps workflows. Lead User Acceptance Testing (UAT) processes, ensuring delivered solutions meet business needs and quality standards. Champion iterative continuous improvement cycles, balancing innovation with risk management and consistent value delivery. Build strong relationships and gain trust with business and technical teams by demonstrating transparency, reliability, and responsiveness. Technical Oversight & Hands-on Contribution Oversee the end-to-end AIOPs & MLOps lifecycle on Databricks, including data ingestion, feature engineering, model development, validation, deployment, and continuous monitoring. Lead the design, implementation, and refinement of MLOps pipelines and AIOps frameworks on Databricks to automate experimentation, deployment, versioning, monitoring, and alerting of models in production. Implement infrastructure and tooling for automated model testing, rollback, and retraining triggered by performance degradation or data drift, ensuring operational robustness and scalability. Ensure seamless collaboration between data scientists (focused on algorithm/model innovation and validation) and ML engineers (focused on scalable deployment, optimization, and MLOps infrastructure). Develop and enforce structured model handover contracts covering performance metrics, latency, memory footprint, and operational constraints to ensure smooth transitions from development to production teams. Participate hands-on in performance optimization, code reviews, and troubleshooting of AI/ML solutions in production environments. Collaboration & Communication Foster a culture of transparency and teamwork, promoting close collaboration between data scientists, AI/ML engineers, software engineers, and business stakeholders. Communicate complex technical concepts and AI/ML performance and value insights effectively to technical and non-technical audiences. Engage proactively with stakeholders to manage evolving requirements and expectations. Build and maintain trust with diverse teams by being approachable, dependable, and delivering on commitments. Manage stakeholder expectations and project timelines within a SAFe Agile environment while balancing innovation with operational excellence. Innovation & Continuous Improvement Stay abreast of emerging trends and technologies in AI, machine learning, MLOps, and AIOps, applying them strategically to maintain competitive advantage. Demonstrate quick learning aptitude to continuously incorporate new tools, methods, and industry best practices while leveraging opportunities and managing risks. Drive continuous model refinement post-deployment, leveraging live data and active learning techniques enabled by AIOps automation. Promote experimentation culture and data-driven decision making across the organization. Skills : Technical Skills Expertise in data science, AI, machine learning, and deep learning with proficiency in Python, SQL, and ML/DL frameworks (e.g., Scikit-learn, PyTorch, TensorFlow). Hands-on experience with Databricks environment including Unity Catalog, MLflow, Mosaic, AI/BI, Spark, Python. Experience working with Knowledge Graphs, GraphRAG, and AI Agents with MCP. Proven experience in designing and implementing MLOps pipelines covering experiment tracking, model versioning, CI/CD for ML, deployment automation, and model monitoring. Experience architecting and operationalizing AIOps processes for automated monitoring, alerting, anomaly detection, and automated remediation of AI/ML system failures or data drift. Experience leading formal and evolving requirements gathering and translating them into actionable specifications. Demonstrated ability to lead User Acceptance Testing (UAT) and iterative continuous improvement cycles. Familiarity with model serving frameworks (TFServing, TorchServe, ONNX) and experiment tracking tools (Neptune.ai, Comet.ml, Weights & Biases). Business & Leadership Skills Strong business acumen with the ability to translate complex business problems into enterprise grade solution implementations. Demonstrated ability to lead and inspire technical teams, with experience managing cross-disciplinary groups. Excellent communication, presentation, and stakeholder management skills. Skilled at balancing strategic thinking with hands-on execution. Ability to foster a collaborative environment, resolve conflicts effectively, and gain trust from both business and technical teams. Quick learner with a strong awareness of emerging technologies, associated risks, and the imperative to deliver tangible business value. Education & Experience Requirements : Education: Bachelor's Degree in Information Science, Computer Science, Engineering, Mathematics, Statistics, or related STEM field. Experience: 10+ years of experience in data science, machine learning, or AI, with at least three years in a leadership or managerial role. Proven track record of delivering AI/ML solutions in a production environment, ideally within large-scale cloud and Databricks ecosystems. Experience implementing scalable and robust MLOps and AIOps processes and tooling including Knowledge Graphs and GraphRAG. Experience working across the full AI/ML lifecycle from model development to production deployment and monitoring. Previous experience bridging the gap between data science, AI/ML, and data engineering teams to create seamless workflows. Preferred Requirements : Education: Master's Degree in Information Science, Computer Science, Engineering, Mathematics, Statistics, or related STEM field. Experience: Passion for innovation, continuous learning in AI/ML, and operational excellence. Strong problem-solving mindset with a pragmatic approach. Ability to thrive in a dynamic, fast-paced environment and manage multiple priorities. Experience with advanced analytics, synthetic data generation, and data annotation strategies is a plus. All submissions should include a cover letter and resume . The University of Maryland Global Campus (UMGC) is an equal opportunity employer and complies with all applicable federal and state laws regarding nondiscrimination. UMGC is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, ancestry, political affiliation or veteran status in employment, educational programs and activities, and admissions. Workplace Accommodations: The University of Maryland Global Campus Global Campus (UMGC) is committed to creating and maintaining a welcoming and inclusive working environment for people of all abilities. UMGC is dedicated to the principle that no qualified individual with a disability shall, based on disability, be excluded from participation in or be denied the benefits of the services, programs, or activities of the University, or be subjected to discrimination. For information about UMGC’s Reasonable Workplace Accommodation Policy or to request an accommodation, applicants/candidates can contact Employee Accommodations via email at employee-accommodations@umgc.edu . Benefits Package Highlights: Generous Time Off: Enjoy 22 days of paid vacation, 15 days of sick leave, 3 personal days, and 15 paid holidays (16 during general election years). For part-time employees, time off rates will be prorated based on the number of hours worked. Comprehensive Health Coverage: Access to health care, medical with vision, dental, and prescription plans for both individuals and families, effective from the 1st of the month following your hire date. Insurance Options: Term Life Insurance, Accidental Death and Dismemberment Insurance, and Long-Term Disability (LTD) Insurance. Part-time employees working less than 0.5 FTE are not eligible for LTD. Flexible Spending Accounts: Available for medical and dependent care expenses. Retirement Plans: Choose between the Optional Retirement Program (ORP) or the Maryland State Retirement and Pension System (MSRPS). Supplemental Retirement Plans: include 401(k), 403(b), 457(b), and various Roth options. The university does not provide matching funds. Tuition Remission: Immediate availability for Regular Exempt Staff. Spouses and dependent children are eligible for undergraduate tuition remission after two years of service. NOTE: For part-time employees (at least 50 percent of the time), tuition remission benefits are prorated. Hiring Range: $193,000.00 - $218,000.00

The Opportunity As the VP of Data Science & Analytics, you will be a pivotal leader responsible for shaping the strategic direction of our data initiatives and research projects. Reporting to our Chief Data Science Officer, you will drive the delivery of high-impact solutions that directly influence business outcomes and our ability to empower providers in the shift to value-based care. This is a unique opportunity for a visionary leader with deep technical expertise to build and scale a high-performing team, foster a culture of technical excellence, and translate complex research into tangible value. Who We Are Pearl Health is dedicated to empowering primary care providers, health systems, and physician-led networks to succeed in the shift to value-based care. Our platform delivers the technology, financial tools, and expert services that enable practices to provide more proactive, effective care to their Medicare patients, ultimately lowering costs and improving health outcomes. Founded in 2020, we are a team of healthcare and technology innovators backed by premier investors like Andreessen Horowitz, Viking Global Investors, and AlleyCorp. We partner with thousands of providers across 44 states to build a more sustainable future for American healthcare. What You'll Do You will lead a critical function responsible for shaping our Data Science & Analytics strategy, managing the execution of research projects, and ensuring the delivery of solutions that drive our business forward. Your leadership will be essential in establishing best practices, stewarding the careers of talented managers and researchers, and cultivating a culture of innovation and strategic impact. Partner with executive leadership across the company to establish the DS&A team's strategic priorities and ensure bidirectional alignment with company goals. Lead, mentor, and develop a team of DS&A managers and Principal Data Scientists, fostering their professional growth and career progression. Define the team's multi-year research trajectory in collaboration with the Chief Data Science Officer, identifying new opportunities and fostering innovation. Establish and refine robust frameworks and best practices for research, quality assurance, and operational efficiency to maximize your team's impact. Collaborate with Engineering and Technical Operations leadership to envision and build a scalable, secure MLOps environment that meets future research and product needs. Pioneer the application of Generative AI within DS&A operations to amplify the team's impact and serve as a model for broader company adoption. Communicate complex technical concepts and strategic initiatives clearly and persuasively to executive leadership, investors, and external partners to influence critical decision-making. What You’ll Bring This role demands a visionary leader with exceptional technical depth, a proven track record of building and scaling high-performing teams, and the ability to influence at an executive level. Your experience has prepared you to champion a culture of technical excellence and strategic impact within a fast-paced, high-growth environment. Must-haves: An advanced degree (Ph.D. or Master's) in a quantitative field such as Data Science, Computer Science, or Statistics, or equivalent practical experience. 10-15 years of progressive experience in a quantitative field, with at least 5-7 years in senior leadership roles managing multiple teams. A proven track record of defining, building, and scaling high-performing data science and analytics organizations within fast-paced environments. Deep expertise in areas such as advanced machine learning, statistical modeling, experimental design, and causal inference. A history of spearheading deep research initiatives that deliver innovative, production-ready models and drive significant business value. Exceptional ability to communicate and collaborate effectively with diverse stakeholders at all levels, including executive leadership. Extensive experience establishing and refining best practices for data governance, MLOps, and quality assurance. Nice-to-haves: Experience working in the healthcare domain. Experience pioneering the use of Generative AI to improve operational efficiency or drive product innovation. This role might not be for you if: You are not passionate about the people-management aspects of leadership, including mentorship, talent retention, and career development. You prefer to focus solely on deep technical work with limited cross-functional collaboration or executive-level communication. You prefer a highly stable, predictable corporate environment over a dynamic, high-growth setting. Our Values 🤝 Collaborate to Innovate: We believe the best solutions arise from intelligent teamwork. We trust the expertise of our teammates and pursue opportunities to learn and grow from each other. By embracing diverse perspectives and encouraging authenticity, we create and evangelize groundbreaking health solutions. 🗣️ Trust Through Transparency: We prioritize transparency in all our interactions, ensuring that employees, patients, clinicians and partners have access to the information they need to make informed decisions. Integrity is at the core of how we operate, from building products to fostering relationships, and is crucial to our ability to communicate openly and gain trust. ❤️ Serious Impact, Big Heart: We go above and beyond with our efforts to empower proactive, patient-centered care — and we celebrate every step forward. Humor and positivity fuel our creativity, strengthen relationships, and remind us to acknowledge the journey as much as the destination. We are an Equal Opportunity Employer on a mission to improve lives. Our strength comes from the diverse backgrounds, experiences, and perspectives of our team. We welcome all candidates and are committed to a fair, inclusive hiring process free from discrimination. What We Offer The expected offer for this role includes the following components: Base Salary Range: $240,000 - $280,000 per year. Additional Compensation: This role is eligible for a discretionary performance bonus and equity options. Benefits: We offer a competitive benefits package. You can learn more on our benefits page . Final compensation for this role will be determined by a variety of factors, including a candidate's relevant skills, experience, labor market conditions, and location. Agency Submissions We are not currently working with contingency search firms. If a resume is submitted to any Pearl Health employee by a third party without a valid written and signed search agreement, it will become the property of Pearl Health and no fee will be paid, irrespective of whether the candidate is hired. The Interview Process While steps may vary by role, you can typically expect: Recruiter Screen: An intro call to discuss your background and motivations. Hiring Manager Interview: A deeper-dive conversation with your potential manager. Panel Interview: A round of meetings with teammates and cross-functional partners. Case Assignment/Presentation: A practical exercise inviting you to solve a real-world problem or relevant challenge. Executive Interview: Final conversation(s) with 1-2 of our leaders.