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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 PhD Discovery Data Science Internship Overview: ​ You will be part of a growing and dynamic Advanced Intelligence (AI) team whose main goal is to develop algorithms and methods for discovery research, or methods to support research goals through advanced AI/ML. ​​ Responsibilities: ​ Partner with research teams to identify, scope, and execute analytic efforts that answer scientific questions, solve business needs, and add business value Maintain a broad understanding of drug discovery with scientific teams, bringing an objective voice to the table, and facilitating decisions grounded in data Collaborate with other analytics team members to review and provide feedback on the analytics work being done, and be willing to seek feedback from other team members about your own work Stay current with respect to statistical/mathematical/AI modeling methodology, to maintain proficiency in applying new and varied methods, and to be competent in justifying methods selected ​​ Requirements: ​ ​Currently enrolled in and attending school. PhD student with at least three years of completed graduate work in Statistics, Computer Science, Electrical and Computer Engineering, Operations Research, Mathematics/Applied Math, or closely related field. ​​ ​​ Desired Experience: ​ Deep and broad knowledge of statistical modeling, natural language processing, machine learning, deep learning, computer vision, image analysis, and data mining methods and tools Proficiency with analytic tools (R, Python, C++) 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 Make the impossible possible in your quest to make life better Bring Analytics to life by giving it zeal and making it applicable to our business Know, learn, and keep up-to-date on the statistical and scientific advances to maximize your impact 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

Job Description Adjunct Professor - Data Science Department: School of Computing and Data Science Location: Wentworth Institute of Technology Wentworth Institute of Technology is seeking adjunct professors to teach undergraduate and graduate courses in Data Science. We are dedicated to fostering educational excellence and preparing students for success in their fields. Position Summary: Adjunct professors are responsible for delivering course materials in a learner-centered environment, engaging students in the learning process, and supporting their academic success. Responsibilities include developing and teaching a range of courses, from introductory undergraduate classes to advanced graduate-level courses in Data Science. Key Responsibilities: Prepare syllabi and develop curricula to meet course requirements and student learning outcomes. Deliver engaging and effective instruction. Provide timely and constructive feedback on assignments and exams. Submit midterm and final grades, attendance records, and other required reports. Communicate consistently with students, faculty, and administrators. Required Qualifications: Master's degree in Data Science, Computer Science, or a related field. Teaching experience in a relevant subject area. Preferred Qualifications: PhD in Data Science or a related field. Experience teaching diverse student populations. Familiarity with online and remote teaching tools. Application Process: To apply, please submit a letter of interest and resume. Applications will be reviewed on a rolling basis until the positions are filled. Wentworth Institute of Technology is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Inclusive Excellence at Wentworth Wentworth Institute of Technology is committed to diversity, equity, and inclusion in all University programs and activities. The University does not discriminate based on race, color, national origin, sex, sexual orientation, religion, disability, age, genetic information, gender identity, veteran status or any other category protected by law. All qualified applicants will receive consideration. To find out more about the Wentworth's commitment to Diversity, Equity and Inclusion, please visit the website https://wit.edu/about/diversity . All applicants have the right to accessibility support and accommodations. To request accessibility support or accommodations, contact the Executive Director of Equity and Compliance, Catlin Wells, at wellsc1@wit.edu.

Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Opportunity The Data Science team is seeking a dedicated Data Science Engineer. This role provides an outstanding opportunity to work with exceptionally skilled professionals and influence our sales strategy directly. You will be instrumental in driving business growth by successfully implementing data-driven models that identify and size potential opportunities. You will partner with senior partners and team members to explore various data sources, engineer compelling features, then build, test, and evaluate models to prove their efficacy. Your ability to communicate complex model features to business owners will be essential for encouraging confidence and enabling sellers to drive impactful customer conversations. This is a fast-paced environment that requires the ability to make tactical decisions quickly to balance methodologies with business priorities. What You Will Do Develop and own rSAM models to size headroom opportunities in the book of business for specific offerings and customer segments Carry out in-depth business analysis to uncover the drivers behind performance gaps and make recommendations for change Engage with senior collaborators to understand key growth areas and ensure solutions align with business priorities Assess and improve the performance of sales campaigns with performance insights and recommendations for model enhancements Support the customer segmentation process using rSAM and other insights Provide different models like customer segmentation based on clustering, customer lifetime value based on survival analysis, and forecasting Deliver channel segmentation to determine customer engagement strategy and optimize lifetime value Collaborate with data engineering teams to productionize data pipelines and drive scalable solutions Automate model refreshes and account prioritization processes Build propensity models to drive sales campaigns using predictive modelling techniques What You Will Bring 5+ years of SQL experience for querying, cleansing, integrating, and summarizing complex data is essential Experience with Databricks and Python is desirable Proven experience of building, testing, evaluating, and improving revenue-generating data science models Knowledge of propensity modeling techniques and other modeling techniques would be beneficial Proven experience translating complex analytics into understandable insights for senior collaborators is essential Strong problem-solving skills and experience in a fast-paced business environment with changing requirements Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $128,600 -- $234,200 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award. State-Specific Notices: California : Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances. Colorado: Application Window Notice If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs. Massachusetts: Massachusetts Legal Notice 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. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.

CAS uses intuitive technology, unparalleled scientific content and unmatched human expertise to help companies create groundbreaking innovations that benefit the world. As the scientific information solutions division of the American Chemical Society, CAS manages the largest curated reservoir of scientific knowledge, and for 115 years, has helped innovators mine, assess and apply that information to keep businesses thriving. The CAS team is global, diverse, endlessly curious and strives to make scientific insights accessible to innovators worldwide. CAS is currently seeking a Senior Manager, Data Science & Analytics. This position will be located in our headquarters in Columbus, Ohio. Position Summary: The Senior Manager, Data Science & Analytics will lead strategic data science initiatives across multiple business units while managing a larger, more complex portfolio of advanced analytical projects. They will oversee data science teams, drive cross-functional collaboration at the senior leadership level, and establish best practices for scaling data science capabilities across CAS. This role requires proven expertise in managing complex, enterprise-level programs while enabling and empowering technical teams to deliver breakthrough AI/ML applications for scientific discovery. Job Accountabilities: Strategic Program Leadership Team Oversight: Lead and coordinate a team of data science professionals working across multiple business verticals, ensuring alignment with enterprise objectives Cross-Functional Strategy: Partner with senior-level stakeholders across Product, Technology, Content Operations, and other teams to define and execute data-driven strategic initiatives Portfolio Management: Oversee complex portfolio of concurrent high-impact projects, optimizing resource allocation and ensuring delivery excellence Best Practices Development: Establish enterprise-wide standards for data science project management, delivery methodologies, and operational excellence Technical Program Management & Enablement Technical Vision Translation: Partner with senior technical leaders to translate business requirements into actionable technical strategies and roadmaps Resource Optimization: Ensure teams have appropriate technical resources, tools, and infrastructure to deliver cutting-edge AI/ML solutions Innovation Facilitation: Create environments that foster technical innovation, enabling teams to explore advanced technologies including LLMs, multimodal AI, and automated scientific discovery workflows Quality & Delivery Assurance: Establish rigorous project management frameworks ensuring technical deliverables meet business requirements and quality standards Organizational Development & Talent Management Team Building: Recruit, develop, and retain data science talent in partnership with technical leads; build succession planning for key roles Leadership Development: Mentor and develop earlier-career managers and senior individual contributors, focusing on both technical growth and leadership capabilities Performance Management: Establish performance metrics, career development frameworks, and recognition programs for large, distributed technical teams Culture Development: Foster a collaborative, innovative culture that attracts top-tier technical talent and drives excellence through effective leadership and team dynamics Business Partnership & Strategic Impact Strategic Consulting: Serve as senior advisor to business leaders on analytical opportunities, translating complex technical capabilities into business value Value Delivery: Drive measurable business outcomes with accountability for significant revenue impact and operational improvements through effective program management Stakeholder Management: Build and maintain high-trust, influential relationships with senior internal stakeholders and key external partners, serving as primary business interface for technical initiatives Business Case Development: Develop compelling business cases for major data science investments, and present to senior leaders to inform critical business decisions Qualifications: Master's Degree required in business, engineering, or quantitative discipline Technical background preferred but not required (Statistics, Computer Science, Applied Mathematics, Data Science, etc.) 15+ years progressive experience in business leadership, technical team management, or other related roles Proven track record leading enterprise-scale initiatives with measurable business impact Experience working closely with data science, engineering, or technical teams (direct technical experience preferred but not required) Experience in scientific/pharmaceutical/chemical industries preferred Demonstrated success in organizational scaling and change management Strong executive presence with ability to influence senior stakeholders Proven ability to manage complex, multi-stakeholder technical initiatives Excellent strategic thinking and business acumen Experience building and scaling high-performing technical organizations Ability to effectively communicate with both technical teams and business stakeholders Strong program management and operational excellence skills Comfort working with technical teams and understanding technical concepts at a high level Ability to facilitate technical discussions and decision-making processes Understanding of data science project lifecycles and delivery methodologies Familiarity with modern technology platforms and development practices preferred CAS offers a competitive salary and comprehensive benefits package, including a generous vacation plan, medical, dental, vision insurance plans, and employee savings and retirement plans. Candidates for this position must be authorized to work in the United States and not require work authorization sponsorship by our company for this position now or in the future. EEO/Disabled/Veteran

FACULTY POSITION emlyon business school invites applications for a full-time faculty position in Data science, open at the Associate Professor level, to begin in September 2026. We are looking to recruit either: A candidate with a strong academic research profile, capable of publishing in top-tier journals and contributing to the school's international research visibility; or A candidate with a strong pedagogical profile, experienced in action learning, experiential education, and real-world project-based teaching; or A hybrid profile, demonstrating excellence in both dimensions. This position is part of emlyon's broader strategic ambition to combine academic excellence with impactful, hands-on learning that is deeply connected to the business world and societal challenges. YOUR ROLE AT EMLYON The selected candidate will join the Department (*) of ODAI and the QUANT Research Centre ( https://aim.em-lyon.com/quant/ ), contributing to: Cutting-edge research in their area of expertise; The development and delivery of innovative, action-based learning experiences, closely tied to the professional ecosystem (corporates, startups, NGOs, etc.). Teaching responsibilities include undergraduate (BBA), graduate (Programme Grande École), and master's level programs. Most courses will be taught on the Lyon campus, with possible sessions on other emlyon campuses in France or internationally. Teaching topics are focused on Applied mathematics and statistics, Data science approaches, tools and methods, including data visualization. CANDIDATE PROFILES - We Are Open to Different Strengths We are open to diverse academic trajectories, and encourage applications from candidates who correspond to one of the following: Research-Focused Profile Ph.D. in data science, statistics or a related discipline Proven publication record (or high potential) in top-tier journals (e.g., FT list) Ability to supervise doctoral students and collaborate on funded research projects Interest in pedagogical innovation and contribution to program development Teaching-Oriented Profile Experience in project-based pedagogy, live business cases, corporate challenges, or learning-by-doing models Strong connections with business or institutional partners Ability to design and coordinate courses with a high level of engagement and applied learning Willingness to contribute to the strategic positioning of action learning within the school Hybrid Profile Balanced expertise in both research and pedagogical innovation Ability to create synergies between research, teaching, and practice Interest in making academic knowledge actionable in the classroom and beyond Additional Requirements Desire to work in a collaborative, international environment Capacity for institutional service (program management, curriculum design, external representation) Fluency in English required; knowledge of French is a plus but not mandatory Willingness to relocate to Lyon or surrounding area (relocation support provided) The candidate will be expected to contribute to and will be regularly evaluated based on three areas of activities: (1) research performance, (2) teaching and student supervision, and (3) institutional service (e.g., administration, service in committees, representation of the school in the media and events). We strongly encourage people of all backgrounds (gender, ethnic background, nationality) to apply. Fluency and teaching experience in English is required. French skills are a plus. The selected candidate is expected to be based in Lyon or nearby area. emlyon has set-up a relocation policy to support the moving process. Salary and conditions are competitive and will be commensurate with qualifications and experience. THE SCHOOL Founded in 1872, emlyon business school is one of the oldest business schools in Europe. It belongs to the top 1% of business schools worldwide recognized by the triple accreditation: EQUIS, AACSB, and AMBA. emlyon business school welcomes 9,260 students from 130 nationalities across its four campuses in Lyon, Shanghai, Paris, and Mumbai. The School relies on a Faculty of 174 international professors and researchers, as well as a network of 220 academic partners, to deliver top-quality trainings recognized in the world's best rankings. It boasts a community of 48,000 alumni. As a Mission-driven company since 2021, emlyon business school cultivates the ability to drive change in resonance with the world by placing the hybridization of skills with social and environmental responsibility at the core of its training programs, supported by teaching methods that combine action and thinking. emlyon has endorsed the European Charter for researchers and is awarded HR excellence in research by the European Commission. The HR Strategy for Researchers (HRS4R) is available at the following link: https://em-lyon.com/en/faculty-and-research/hr-strategy-for-researchers THE ENVIRONMENT emlyon business school is at the center of a vibrant ecosystem of large universities with excellent research teams in engineering, computer science, natural sciences, social sciences, and the humanities (see: https://www.lyoncampus.com/en/welcome/lyon-a-city-of-innovation ) Lyon is the second largest city in France, with a long entrepreneurship tradition and a solid digital industry. Further information About emlyon business school: http://www.em-lyon.com/en/ THE APPLICATION SHOULD CONSIST OF: A cover letter including the motivation to join emlyon business school An up-to-date curriculum vitae A research statement A teaching statement (with teaching evaluations, where available) A list of papers under review or in progress Two references/names with contact information Possible questions about the position can be addressed to Professor Benoit Loeillet, Head of the ODAI department and chair of the recruitment committee at emlyon business school: loeillet@em-lyon.com All application materials should be submitted in English via this website page. The application materials will not be returned. RECRUITMENT PROCESS emlyon business school complies with the Open, Transparent and Merit-based Recruitment principles as stated in the European Code of Conduct for the recruitment of researchers. The selection committee is appointed by the Head of department and composed of three to eight professors, ensuring a balanced representation of gender, national origin, and professor grades. Pre-selection step: the selection committee reviews all the applications to short-list the candidates who meet the most criteria as described in the candidate's characteristics. Short-listed candidates are invited to a recruitment day (held by videoconference in most cases) with a) a job talk presentation b) one-on-one interviews with committee members. Each permanent professor attending the job talk completes an assessment grid, and the results are aggregated to identify the top one and top two applicants. Finalists are interviewed by the Dean for Faculty & Research and/or the Associate Dean for Research. The final decision is communicated by the Dean for Faculty & Research. SUBMISSION DEADLINE: 1st December 2025 emlyon reserves the right to consider applications submitted after the deadline. ------------------------------------------------------------------------------ (*) The ODAI (Operations, Data & AI) department is home of 17 researchers with diverse backgrounds and interests in decision making and data science, including AI. The ODAI department strives for high quality research, which is reflected in its publication record in top level journals. Close links with different types of organizations provide opportunities for research and engaged scholarship. The department develops and offers to many programs at the school courses that include (not exhaustively) Operations Management, decision aid-technics, data analysis, and applied AI related methods. Members often work conjointly on designing and updating the content and offered teaching approaches and experiences.

Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges-and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day-working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities for career growth, and a culture of innovation that embraces adaptability, collaboration, technical excellence, and people in partnership. If this sounds like the choice you want to make, then choose MITRE - and make a difference with us. NOTE: Thank you for your interest in MITRE's internship opportunities. Please be aware that this is not an application for a specific position. By submitting your information and providing your resume, you will be included in a pool of candidates for various internship roles across the company. If you are selected for consideration for a particular internship, a member of MITRE's Student Programs team will reach out to you. The primary hiring season for MITRE internships runs from September through March. You can monitor your application status here: Workday (myworkdayjobs.com). Job Responsibilities As an intern working in data science, operations research, math or statistics, you will work alongside a team of experts to apply your knowledge and gain hands-on experience in one or more of the following areas: Data analysis and visualization Augmented decision-making and trusted analytics Applied mathematics, statistics, and optimization Simulation and computational analytics Systems modeling and analysis Operational effectiveness and efficiency Knowledge discovery Next-generation data environments Basic Qualifications Must be a full-time student pursuing an accredited degree program in Data Science, Math, Statistics, Operations Research or related disciplines. Must continue to be enrolled the semester following the internship. Foundational knowledge of data science, math, statistics or operations research methodologies, frameworks, tools and/or programming languages. Must have sustained excellence in academic performance. Preferred Qualifications Experience applying data science, math, statistics or operations research concepts in an internship, research, or lab setting. Proficiency using data science, math, statistics or operations research methodologies, frameworks, tools and/or programming languages. Demonstrated interest in serving the public through previous work experience, volunteer activities, or other relevant engagements. Clearance: In addition to passing MITRE's employment background check, you may be submitted for a U.S. Government Security clearance. This is determined by the Department of Defense's adjudicative guidelines for receiving a clearance, to include U.S. citizenship. Other jobs may require vetting for various levels of agency public trust, fitness, suitability, controlled access, and special programs access determination consistent with the work program to which you are assigned. This requisition requires the candidate to have a minimum of the following clearance(s): This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s): Salary compensation range and midpoint: $45,500 - $57,000 - $68,500 Annual Work Location Type: Hybrid 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. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local or international law. MITRE intends to maintain a website that is fully accessible to all individuals. If you are unable to search or apply for jobs and would like to request a reasonable accommodation for any part of MITRE's employment process, please email recruitinghelp@mitre.org for general support and collegerecruiting@mitre.org for intern positions. This service is for individuals requiring reasonable accommodation requests. Please note that vendor solicitations will not receive a reply. Benefits information may be found here. Copyright 1997-2025, The MITRE Corporation. All rights reserved. MITRE is a registered trademark of The MITRE Corporation. Material on this site may be copied and distributed with permission only.

C.H Robinson is seeking a Senior Director Data Science who will lead the strategic direction and advanced capabilities in the domain of algorithm design and development to cross-functionally support all product initiatives in our 50+ member data science team. You will help us in executing our 18 million organizational shipments a year by connecting a diverse carrier and customer marketplace through our industry-leading technology and freight matching ecosystem. You will provide technical and scientific thought leadership on modeling/ algorithm-based solutions for our toughest and most complex supply chain problems. The Senior Director of Data Science will be an industry-renowned expert that will work with executive leaders across the enterprise to take these strategies to production. We value rapid prototyping and speed to impact as core tenants of our R&D based culture. The Senior Director of Data Science will help solve tough data science problems and oversee the delivery, implementation, and strategy of impactful solutions. You will also have a strong mathematical/programming background that can help data scientists understand the impact of their work and navigate the algorithm development lifecycle. You will also be responsible for developing strategic partnerships with senior executives/leaders, influencing business strategy, product needs for delivering to market, pushing organizational boundaries to achieve impact, and leading and managing teams. DUTIES AND RESPONSIBILITIES The duties and responsibilities of this position consists of, but are not limited to, the following: Drive a philosophy/culture of continual improvement. Develop the strategy of how to determine what projects should go through R&D in partnership with other senior leaders. Communicate complex data science concepts and findings to non-technical stakeholders in a clear and concise manner, influencing decision-making at all levels of the organization. Develop strategic relationships with Senior leaders in the business and service lines to understand multiyear goals and initiatives to help influence and bring data strategies to life Provide guidance and mentorship to the data science leadership team, fostering their professional growth and ensuring high-quality deliverables. Be the voice of expertise in algorithm design/architecture and data science knowledge and know-how Evaluate and understand current & nascent modeling methods in the Data Science space Establish and ensure adoption of an R&D mindset on the team Serve as an escalation point for critical business issues and specialized requests Serve as an escalation point for senior leaders and executive team Work with enterprise architects, product architects, value owners, project managers, delivery leads, data scientists, engineers, and support team members to bring big data R&D projects into production Part of Analytics, TL Pricing and Data Science leadership team Understand the current market to determine how it impacts projects Stays informed of changes within the customers' business, industry, and sector, stays current on industry/market best practices, and shares knowledge with team; applies that knowledge to data strategies Responsible for annual workforce planning process, including forecasting resource needs, and partners with Talent Acquisition to establish a pipeline, recruit, select, and onboard qualified and diverse talent Manages annual merit and equity programs for Data Science function to align compensation with performance results Builds a deep understanding of the skills and abilities of Data Science leadership team Aligns team's passion with their potential and commits to consistently providing feedback, development opportunities and recognition Encourages employee feedback through formal and informal channels. Acknowledges and takes action on feedback to drive a trusting culture of open two-way communication, inclusivity and continuous improvement Other duties or responsibilities as assigned according to the team and/or country specific requirements Required Qualifications: Masters or graduate degree in a quantitative discipline or bachelor's degree in a quantitative discipline and 2 years of equivalent work experience Minimum 10+ years of experience in the field of data science Minimum 4 years of leading and managing teams Experience in programming & modeling: R and Python Experience with Advanced Algorithm & Optimization Techniques Proficiency with Linux Operating Systems & Containerization Recognized expert in your field of study Preferred Qualifications: PhD in a quantitative discipline Experience with Spark/Hive/Hadoop Ecosystems Experience with relational databases and fundamentals Experience with application development frameworks in the python/R ecosystem (Flask, Django, Shiny) Proven ability to work with a high degree of autonomy and out-of-the-box thinking Values a diverse and inclusive work environment We will review applications for this role on an ongoing basis and encourage all interested candidates to apply at their earliest convenience. Compensation Range $193,800.00 - $332,500.00 The base pay range displayed on the job posting reflects the minimum and maximum base pay for this specific location. Your individual base pay within this range is determined by job-related skills, experience, and relevant education or training. Compensation details listed in this posting reflect the base pay only and do not include additional variable compensation. Questioning if you meet the mark? Studies have shown that some individuals may be less likely to apply unless they match the job description exactly. Here at C.H. Robinson, we're building an inclusive workplace where all employees feel they belong. If this position excites you, we welcome you to apply whether you check all the preferred qualifications or just a few. You may just be our next great fit! Equal Opportunity C.H. Robinson is proud to be an Equal Opportunity Employer. We are committed to a workplace and performance culture that reflects the strengths of our worldwide marketplace. We value unique experiences and diverse backgrounds of our people within our company, our business relationships, and our communities. We're committed to providing an inclusive environment, free from harassment and discrimination, where all employees feel welcomed, valued and respected. EOE//Disabled/Veteran Benefits Your Health, Wealth and Self Your total wellbeing is the foundation of our business, and our benefits support your financial, family and personal goals. We provide the top-tier benefits that matter to you most, including: Two medical plans (including a High Deductible Health Plan) Prescription drug coverage Enhanced Fertility benefits Flexible Spending Accounts Health Savings Account (including employer contribution) Dental and Vision Basic and Supplemental Life Insurance Short-Term and Long-Term Disability Paid and floating holidays Flexible Time Off (FTO) offered to U.S. salaried employees - no accruals and no caps. Paid Time Off (PTO) offered to all other employees in the U.S. and Canada Paid parental leave Paid time off to volunteer in your community Charitable Giving Match Program 401(k) with 6% company matching Employee Stock Purchase Plan Plus a broad range of career development, networking, and team-building opportunities Dig in to our full list of benefits on OUR CULTURE page.

Department Energy & Environment Lab About the Department The University of Chicago Institute for Climate and Sustainable Growth is a groundbreaking effort uniting faculty from across the university to advance society's understanding of our energy and climate future. The Institute combines faculty insights in energy markets and policy, climate systems engineering, and energy technology to produce world-changing ideas while also investing in the next generation of energy and climate thinkers, leaders, and innovators through novel educational programs. The University of Chicago Energy and Environment Lab (E&E Lab) partners with agencies at the federal, state, and local level to identify, rigorously evaluate, and help scale programs and policies that reduce pollution and improve environmental outcomes, while ensuring access to reliable and affordable energy. The E&E Lab applies rigorous evaluation and modeling methods, including natural and field experiments, randomized controlled trials, behavioral economics, and machine learning, to help policymakers identify and generate evidence on innovative approaches and policy solutions to their most pressing environmental and energy challenges. Job Summary The University of Chicago Energy and Environment Lab (E&E Lab) is seeking a Data Science Research Manager (RM) with strong research, methodological, and management skills to support large-scale environmental policy research projects. The RM will manage a growing portfolio of projects, including machine learning projects, designed to evaluate the effectiveness and impact of promising energy and environmental interventions. The RM will contribute to the design, implementation, and analysis of energy and environment research projects with direct applicability for policymakers. The RM will work closely with U.S. government agencies, municipal governments, researchers, and a dedicated team of research analysts, data scientists, and staff, to support research projects. Responsibilities Constructs, trains, and deploys scalable machine learning algorithms for a variety of research projects. Manages project teams and junior staff, leads task supervision and quality oversight. Works with partners to identify analytical approaches to answer specific research questions or provide analytical support to government partners. Meaningfully contributes to research design, analysis, and implementation of policy-relevant research projects. Manages data collection, data science analysis, and provides quality assurance for research projects. Manages research partnerships with government agencies and serves as project manager for research and technical assistance projects, including communications and project deliverables. Prepares results for memos, presentations, and papers targeting both policymakers and academic audiences. Ensures compliance with institutional, state and federal regulatory policies and procedures as well as internal data privacy and security policies. Assists with writing grant proposals and managing grant reports. Applies research principles and relevant subject matter knowledge relevant to administer a research project. With a moderate level of direction, manages lab and/or research-related duties and tasks. Helps develop, design and conduct research projects according to plan. Supports data collection and analytical needs of research projects. Conducts literature reviews and helps write reports and manuscripts. Ensures project compliance with different policies, procedures, directives, and mandates. Takes responsibility for the following non-laboratory duties: transcribing and coding data; developing data collection instruments; presenting research; and recruiting and scheduling research subjects. Acquires higher-level skills and knowledge in the process. Performs other related work as needed. Minimum Qualifications Education: Minimum requirements include a college or university degree in related field. Work Experience: Minimum requirements include knowledge and skills developed through 2-5 years of work experience in a related job discipline. Certifications: -- Preferred Qualifications Education: Master's degree in data science, economics, statistics, computer science or related field. Coursework in data science, statistics, econometrics, and computer science. Technical Skills or Knowledge: Proficiency with R and Python. Proficiency in working with large and complex datasets. Applying data science methods and machine learning algorithms in operational environments. Explaining complex statistical ideas and/or research projects to non-experts. Proficiency with GitHub. Working on field experiments / randomized controlled trials. Understanding of relational databases. Preferred Competencies Strong background in applied statistics and econometrics. Excellent written and verbal communication skills, and present research concepts to non-technical audiences. Strong time management skills with a proven ability to multitask and prioritize activities to successfully complete projects on tight deadlines with little supervision. Strong project management skills with exceptional attention to detail. Work both independently in a self-directed manner, and as a team member. Knowledge and understanding of energy and environmental policy topics. Application Documents Resume/CV (required) Cover Letter (required) Three Professional References Contact Information (required) Transcripts, unofficial transcripts are acceptable (required) When applying, the document(s) MUST be uploaded via the My Experience page, in the section titled Application Documents of the application. Job Family Research Role Impact Individual Contributor Scheduled Weekly Hours 37.5 Drug Test Required No Health Screen Required No Motor Vehicle Record Inquiry Required No Pay Rate Type Salary FLSA Status Exempt Pay Range $72,500.00 - $75,000.00 The included pay rate or range represents the University's good faith estimate of the possible compensation offer for this role at the time of posting. Benefits Eligible Yes The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in the Benefits Guidebook. Posting Statement The University of Chicago is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, or expression, national or ethnic origin, shared ancestry, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination. Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via Applicant Inquiry Form. All offers of employment are contingent upon a background check that includes a review of conviction history. A conviction does not automatically preclude University employment. Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position. The University of Chicago's Annual Security & Fire Safety Report (Report) provides information about University offices and programs that provide safety support, crime and fire statistics, emergency response and communications plans, and other policies and information. The Report can be accessed online at: http://securityreport.uchicago.edu . Paper copies of the Report are available, upon request, from the University of Chicago Police Department, 850 E. 61st Street, Chicago, IL 60637.

Company Information For more than 20 years, AEG has played a pivotal role in transforming sports and live entertainment. Annually, we host more than 160 million guests, promote more than 10,000 shows and present more than 22,000 events around the world. We are committed to innovation, artistry, and community, and leverage the power of our 300+ venues, leading sports franchises, marquee music brands, integrated entertainment districts, premier ticketing platform and global sponsorship activations, to create memorable moments that give the world reason to cheer. Our business is interwoven with the human mind and heart, and we strive to build a diverse and inclusive company that reflects the artists, athletes, and fans that we host; reach beyond traditional boundaries to support the communities in which we operate; and minimize our impact on the environment by adopting sustainable practices throughout our business operations. If you want to be challenged to up your game and make a difference, then join us in giving the world reason to cheer! Job Summary We are seeking a visionary Director of Data Science who will serve as a strategic leader in transforming how our organization leverages data to drive business decisions in the live entertainment industry. This role demands exceptional critical thinking skills, a keen eye for identifying untapped opportunities, and the ability to translate complex mathematical and statistical insights into actionable business strategies. Reporting to the VP of Data & Analytics and working closely with the Directors of Business & Consumer Analytics, this role will be responsible designing and implementing sophisticated models, then translating technical insights into clear business value propositions. Incumbent will start and gradually grow a team of data scientists who employ a diverse ecosystem of creative machine learning models, applied experience in artificial intelligence, and advanced statistical analyses. Essential Functions Focus on research and development through statistical modeling of large amounts of data; identify patterns and trends in data sets to use towards predictive analytics; develop actionable insights to guide data-driven decision making for AEG Presents. Data concepts we’ll be analyzing include ticket purchases, marketing campaigns, audience engagement, ancillary revenue, and much more. While working on a team that focuses on Business & Consumer Analytics, this role will work with all areas of the business, including Product, Marketing, Ticketing, Promoting, Venue Ops, & more. Working with these teams, this role will be responsible in developing a data science plan that allows the functions to use ML and AI to create sustained value to revenue, customer experience, and operations. Develop and execute comprehensive data science strategy aligned with business objectives, including predictive analytics for ticket sales, dynamic pricing models, and audience segmentation Collaborate with data engineering team to integrate data collection, data quality and core model output into production systems, to automate and advance built out algorithms and models. Continuously scan the entertainment industry landscape to identify emerging trends and competitive advantages through advanced analytics Model performance reviews and ongoing maintenance Required Qualifications BA/BS Degree (4-year) MA/MS Degree preferred 8-10 years Experience in data science and statistics 4-6 years Experience building, managing, mentoring, and inspiring high performing, collaborative teams that values testing and learning Proven expertise developing algorithms for solving diverse business challenges and creating value for the company Talent in analytical storytelling with extraordinary ability to convey complex analytical results to both technical and non-technical audiences; skill at building relationships across the organization and becoming a trusted, sought-after partner A strong passion and evangelism for data science, coupled with deep desire to adapt machine learning and cutting-edge technologies to provide high impact to AEG Presents business model Strong background working with large-scale both structured and unstructured data in distributed computing environments, including databases, data cleaning, and feature engineering Passion and focus on execution with demonstrated ability to get things done Well-versed in Python, R, SQL, statistical tools Experience with iterative and rapid experimentation process in the context of research and analytics Experience in ticketing or entertainment is preferred. Payscale: $174,211- $182,921.55 Bonus: This position is eligible for a bonus under the current bonus plan requirements. Benefits: Full-time: We offer a comprehensive benefits package that includes: medical, dental and vision insurance, paid holidays, vacation and sick time, company paid basic life insurance, voluntary life insurance, parental leave, 401k Plan (with a current employer match of 3%), flexible spending and health savings account options, and wellness offerings. AEG reserves the right to change or modify the employee’s job description whether orally or in writing, at any time during the employment relationship. AEG may require an employee to perform duties outside their normal description.

Who we are At CarGurus (NASDAQ: CARG), our mission is to give people the power to reach their destination. We started as a small team of developers determined to bring trust and transparency to car shopping. Since then, our history of innovation and go-to-market acceleration has driven industry-leading growth. In fact, we're the largest and fastest-growing automotive marketplace, and we've been profitable for over 15 years. What we do The market is evolving, and we are too, moving the entire automotive journey online and guiding our customers through every step. That includes everything from the sale of an old car to the financing, purchase, and delivery of a new one. Today, tens of millions of consumers visit CarGurus.com each month, and 30,000 dealerships use our products. But they're not the only ones who love CarGurus-our employees do, too. We have a people-first culture that fosters kindness, collaboration, and innovation, and empowers our Gurus with tools to fuel their career growth. Disrupting a trillion-dollar industry requires fresh and diverse perspectives. Come join us for the ride! Role overview CarGurus is looking for a Product Manager who will help shape the roadmap for our Data Science team. You will collaborate closely with a number of teams including engineering, analytics, marketing, sales and a variety of other product teams to deliver exceptional data science led capabilities. Are you a driven collaborator with a strong track record of building data-driven products and capabilities? Do you bring curiosity, creativity, a passion for innovation, and analytical and cross-functional leadership skills? Are you excited by the mission to help millions of shoppers find their next car? Look no further; we'd love to invite you to apply! What you'll do Build a strong partnership with our Data Science team to support model development from concept to launch. Own the team's vision and roadmap; generate buy-in and facilitate cross-functional collaboration with a wide range of stakeholders. Ensure that prioritization of work aligns with high-level strategies and business objectives. Maintain high levels of engagement with stakeholders through various forms of written and verbal communication, including roadmaps, project plans, status reports, and executive presentations. Empower our team of Data Scientists to complete their best work - providing the necessary requirements, guidance, and space to unlock new opportunities to make our product better. Highlight and enforce data quality best practices and standards across the product and engineering organization, focusing on data integrity, consistency, and accuracy. Help implement policies to ensure compliance with industry regulations and organizational guidelines. What you'll bring 3+ years of product management experience with at least 1+ years building machine learning, predictive analytics or AI enabled products Expert judgment to help prioritize incoming requests based on value-add to the business. Strong team player with high emotional intelligence and the ability to bring people together across varying work styles Tenacious self-starter with the ability to work independently, particularly in a highly cross-functional or matrixed environment Excellent written and verbal communication skills Prior experience in a Data Science / ML or Analytics Working at CarGurus We reward our Gurus' curiosity and passion with best-in-class benefits and compensation, including equity for all employees, both when they start and as they continue to grow with us. Our career development and corporate giving programs, as well as our employee resource groups (ERGs) and communities, help people build connections while making an impact in personally meaningful ways. A flexible hybrid model and robust time off policies encourage work-life balance and individual well-being. Thoughtful perks like daily free lunch, a new car discount, meditation and fitness apps, commuting cost coverage, and more help our people create space for what matters most in their personal and professional lives. We welcome all CarGurus strives to be a place to which people can bring the ultimate expression of themselves and their potential-starting with our hiring process. We do not discriminate based on race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. We foster an inclusive environment that values people for their skills, experiences, and unique perspectives. That's why we hope you'll apply even if you don't check every box listed in the job description. We also encourage you to tell your recruiter if you require accommodations to participate in our hiring process due to a disability so we can provide the appropriate support. We want to know what only you can bring to CarGurus. #LI-Hybrid

We are seeking a highly technical and strategic Senior Developer Relations Manager to join our team, with a focus on engaging developer ecosystems across emerging technology domains. In this pivotal role, you will work directly with software solution providers, developers, and industry professionals to foster the adoption of NVIDIA’s advanced AI and computing platforms. The ideal candidate brings a blend of deep technical expertise and commercial go-to-market experience, combined with a passion for developer advocacy and a talent for communicating how NVIDIA technology can solve complex, real-world challenges. What You'll Be Doing: Serve as the trusted technical advisor, problem solver, and champion for the developer ecosystem in life science data platforms, with multi-functional partners to drive adoption of NVIDIA technologies. Accelerate critical workloads by demonstrating ground-breaking solutions that integrate the core NVIDIA stack into developer products, platforms, and pipelines. Advise on the technical enablement resources—such as sample code, guides, demonstration pipelines, and tools to highlight the application of technologies in solving real-world problems for laboratory informatics, agentic agents, lab-in-the-loop workflows, and reinforcement learning. Guide partners and startups through onboarding and integration with NVIDIA’s programs, fostering co-innovation and the development of next-generation solutions. Map, track, and monitor the developer ecosystem to identify growth opportunities, inform technology roadmaps, and shape adoption strategies. Collaborate multi-functionally with solution architects, engineering, product management, and marketing to drive developer engagement and optimize partner adoption strategies. Engage with partner engineering teams, technical leaders, and decision-makers to identify goals, solve technical challenges, and promote best practices for successful integrations. Represent and advocate for the partner technical needs and feedback to NVIDIA’s internal product and engineering teams, supplying actionable insights from field deployments to influence product roadmaps. What We Need to See: Master’s or Ph.D. degree in computational chemistry, computational biology, computer science, or a related field (or equivalent experience). A minimum of 8-10+ years of overall professional experience in the technology industry in software engineering, developer relations, technical partnerships, including 5+ years of direct hands-on experience in drug discovery, data automation, laboratory informatics, and agentic agents. Proven experience leading, partnering, and scaling developer programs at major technology companies, life science data platform ISVs, or within relevant verticals. Significant technical proficiency with data platforms in high-performance computing, cloud, AI/ML, and/or vertical-specific frameworks and libraries. Excellent interpersonal skills with the ability to distill complex technical concepts for diverse technical and non-technical audiences from engineers to executives. Experience leading technical collaborations with engineering and product teams - including architectural design, code reviews, technical mentorship, and delivery of technical talks or workshops Proven ability to structure and implement complex technical engagements, negotiate requirements, prioritize issues, and collaborate with internal or external stakeholders (across sales, legal, product or marketing teams as needed). Ways to Stand Out from the Crowd: Hands-on experience building or optimizing vertical-specific solutions (e.g., drug discovery data pipelines). Familiarity with advanced computing, AI, and/or GPU acceleration platforms (e.g., CUDA, NeMo). Track record in crafting and implementing systems for real-time processing and low-latency decision-making. Successful history of building and scaling developer communities and delivering impactful technical enablement programs. With competitive salaries and a generous benefits package, we are widely considered to be one of the world’s most desirable employers! We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous person with a real passion for technology, we want to hear from you. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until September 27, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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: Raritan, New Jersey, United States of America, San Diego, 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 is recruiting for Director, R&D Data Science & Digital Health, Real-World Evidence (RWE), Across Therapeutic Areas The primary location for this position is flexible - Titusville, NJ; Raritan, NJ; Spring House, PA; Cambridge, MA; or San Diego, CA J&J Innovative Medicine develops treatments that improve the health of people worldwide. Research and development areas encompass oncology, immunology, neuroscience, cardiopulmonary and specialty ophthalmology. 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 Johnson & Johnson Innovative Medicine visit https://innovativemedicine.jnj.com/ The R&D Data Science & Digital Health, Real-World Evidence (RWE) team at J&J Innovative Medicine is dedicated to developing i nnovative evidence solutions and critical insights through diverse data sources , including RWD , trial data and emerging innovative data sources, to support clinical programs and regulatory decision-making . We are seeking a dynamic Director to lead Real-World Evidence (RWE) initiatives across therapeutic areas ( xTA ) within the R&D Data Science & Digital Health organization. This role will be instrumental in advancing our enterprise-wide RWE capabilities , fostering cross-functional collaboration, and driving innovation in evidence generation. The successful candidate will partner closely with senior leaders across R&D and commercial to shape the RWE ecosystem, influence regulatory policy, and elevate J&J’s scientific leadership internally and externally. This is a high-impact role for a strategic thinker and hands-on leader passionate about transforming healthcare through data-driven insights. Other Key Responsibilities include: Lead cross-TA RWE initiatives that support clinical development, regulatory submissions, and strategic decision-making. Partner with internal stakeholders and external collaborators to co-create integrated RWE strategies and solutions. Contribute to shaping regulatory policy and standards for RWE through scientific engagement s. Develop and disseminate best practices for novel RWE design and methodologies. Provide scientific leadership and subject matter expertise in study design, analytics, and interpretation of evidence research. Support the development of internal capabilities and tools to accelerate evidence generation and delivery. Promote a culture of innovation, scientific rigor, and continuous learning across the RWE function. Required qualifications: Ph.D. or Master’s in epidemiology, biostatistics, outcomes research, health policy, or related field. 8 + years of relevant experience in biopharma, RWE consulting, or healthcare industries. 3 + years of experience as a people manager. Proven expertise in data extraction, cleaning, and analysis; strong grasp of advanced statistical methods. Experience with diverse data sources (EHR, claims, registries, trial data, digital health) . Strong communication skills, with the ability to effectively engage both technical and non-technical stakeholders. Proven leadership and influencing capabilities, with a track record of inspiring teams and driving cross-functional alignment. Highly motivated and intellectually curious, with strong executional rigor and a passion for solving complex challenges. Proficiency in R, Python, or SQL. Preferred qualifications: Experience in regulatory-grade evidence generation and regulatory engagement. Demonstrated ability to lead cross-functional initiatives and influence without authority. Subject matter expertise in one or more therapeutic areas. Experience working in matrixed, global organizations. 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. #LI-GR #LI-Hybrid #JRDDS #JNJDataScience #JRD The anticipated base pay range for this position is : $160,000 - $276,000 Additional Description for Pay Transparency: 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 Additional information can be found through the link below.

Company Cox Enterprises Job Family Group Business Operations Job Profile Intern- Premium Management Level Individual Contributor Flexible Work Option Hybrid- Ability to work remotely part of the week Travel % Yes, 5% of the time Work Shift Day Compensation Hourly base pay rate is $28.65 - $42.98/hour. The hourly base rate may vary within the anticipated range based on factors such as the ultimate location of the position and the selected candidate’s knowledge, skills, and abilities. Position may be eligible for additional compensation that may include commission (annual, monthly, etc.) and/or an incentive program. Job Description We encourage candidates to apply to no more than three internship opportunities within a 90-day period. Our recruiting team will review your application and ensure you are considered for the opportunities that best align with your skills and interests. There’s something really inspiring about the idea of innovators teaming up to build something incredible. If you agree, then you might be a perfect fit for a tech job at Cox! Across the Cox family of businesses (Cox Enterprises, Cox Communications and Cox Automotive), we’re looking for Data Science Interns to join our team and learn from the best. Ready to collaborate with us and work at a great company that truly cares about you and your future? Keep reading! What’s In It For You? We value your time and potential. At Cox, you’ll be exposed to meaningful and challenging work. You won’t be left alone to figure things out. You’ll have a team of supporters (plus an assigned program mentor) who will show you the ropes, guide you to excellence and cheer you on. You’ll experience real accountability to develop your professional skills. You’ll expand your network and professional toolbox through exposure to senior leaders. You’ll help us build a bold future that is sustainable, accessible and inclusive. What You’ll Do : Learn how to extract, transform, and load (ETL) the data for analysis. Learn how to perform data cleansing and exploratory data analysis. Learn how to work with different data sources to be able to produce the requested analysis. Learn how to analyze machine learning results. Learn how to measure the effectiveness of marketing initiatives using optimized contact strategies for marketing activities. Produce reports summarizing your findings. Able to forecast marketing activities. Preferred: STEM majors are encouraged to apply, with preference to Math, Stat, Computer Science, and Engineering majors. Intermediate to advanced analytical skills. Ability to conduct thorough research and use the findings to inform decision-making . Python, PySpark , SQL or other coding and visualization skills are highly preferred. Hadoop and cloud computing. Strong analytic skills . Strong background in Mathematics, Computer Science, or Statistics. Background using Microsoft tools mentioned above. Detail-oriented and able to meet project timelines through good time management and work prioritization. Oral and written communication skills, as well as presentation skills. A positive attitude, determination, and humility. Don’t miss out on the first steps toward your future. Apply today! Intern/Co-Op sessions are considered temporary employment. No full-time employment commitments are made. However, depending on our business needs, some interns may be considered for a full-time position following the conclusion of the session conditioned upon the intern graduating from their academic program and being available to commence full-time employment at a specified time. Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship. Benefits Benefits of working at Cox may include health care insurance (medical, dental, vision), retirement planning (401(k)), and paid days off (sick leave, parental leave, flexible vacation/wellness days, and/or PTO). For more details on what benefits you may be offered, visit our benefits page. About Us As our primary divisions Cox Automotive and Cox Communications drive new waves of innovation, Cox Enterprises is entering spaces like cleantech, healthcare, esports and more. We're a family business guided by a legacy of bold innovation that’s driven by those who want to make their mark. Benefits of working at Cox may include health care insurance (medical, dental, vision), retirement planning (401(k)), and paid days off (sick leave, parental leave, flexible vacation/wellness days, and/or PTO). For more details on what benefits you may be offered, visit our benefits page. Cox is an Equal Employment Opportunity employer – All qualified applicants/employees will receive consideration for employment without regard to that individual’s age, race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender, gender identity, physical or mental disability, veteran status, genetic information, ethnicity, citizenship, or any other characteristic protected by law. Cox provides reasonable accommodations when requested by a qualified applicant or employee with disability, unless such accommodations would cause an undue hardship.Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship.

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: R&D Product Development Job Sub Function: R&D Machine Learning 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 is recruiting for a Senior Director of Generative AI - R&D Data Science & Digital Health. This position can be located in New Brunswick, NJ; Titusville, NJ; Springhouse, PA; La Jolla, CA; Cambridge, MA; Beerse, Belgium; High Wycombe, UK; or Zug, Switzerland. This position will require up to 25% travel. Candidates interested in the UK, Switzerland, or Belgium please apply using requisition: R-037006 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 seeking a highly technical leader in Generative AI for our Research & Development Data Science & Digital Health (DSDH) organization. This position reports directly to the VP of AI/ML & Digital Health and is tasked with accelerating and scaling the research, development, and deployment of generative and agentic AI models and solutions for scientific, clinical, and regulatory use cases across R&D. The role encompasses a horizontal engagement across the entire R&D business, positioning you as a senior technical leader in areas such as AI/Generative AI, Large Language Models (LLMs), Large Reasoning Models, Multimodal and Agentic AI. This leader will work across the enterprise, partnering closely with Data Science & Digital Health teams, Johnson & Johnson Technology (JJT), J&J IM R&D therapeutic areas and functions, and interact with senior level stakeholders throughout the company. Responsibilities Lead the technical research and implementation of generative AI methods and multi-modal agentic systems, applied to scientific, clinical, and regulatory use cases across R&D. In close partnership with JJT, research, develop and deploy impactful and scalable GenAI solutions for therapeutic areas including Oncology, Immunology, and Neuroscience, as well as Discovery Product Development & Supply, Global Drug Development, and Global Regulatory Affairs organizations. Attract, upskill and retain top AI talents in the field, manage a technical team, and collaborate with key stakeholders in R&D, DSDH, and JJT. Drive strategic decision-making processes concerning Generative AI and Agentic AI, prioritize projects with partners, and lead the development of cross-R&D GenAI solutions. Drive J&J innovation in the field, leading to high visibility publications in top AI conferences and patents around Generative AI, reasoning, multi-agent systems, etc. Effectively partner with external companies, from startup to Big Tech, to accelerate GenAI development and adoption within J&J IM R&D. Collaborate with key academic centers for research development. Qualifications Advanced degree (PhD) in disciplines such as Computer Science, AI/ML, Engineering, Biomedical engineering, Applied Mathematics or similar. Minimum of 10 years of post-academic, industry experience. Extensive experience in creating scalable and impactful AI solutions, including managing their full life cycle (design, development, testing, deployment, operations & maintenance, etc.). Proven track record of technical proficiency in machine learning, deep learning, Large Language Models (LLMs), large reasoning models (LRM), agentic systems. Excellent coding and software development capabilities, effectively leading a technical team and partners towards the creation of scalable AI solutions. Strong experience in people leadership, and ability to work in a matrixed organization Excellent communication skills and strategic thinking capabilities. Experience in the 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 $173,000 to $299,000 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

As part of a collaborative team, the Data Analysis Specialist builds relationships with faculty, students, and staff to support teaching, learning, and research on campus. Specifically, the Data Analyst Specialist will connect with departments and programs to identify existing data analysis and data management needs on campus. Based on campus needs, the incumbent will develop services and educational programming. This is a union position. Employees working in this position are covered by the collective bargaining agreement between the University and Service Employees International Union (SEIU) Local 888. Provisions related to wages, benefits and other terms of employment are contained in the agreement. The hiring range is 83,800 – 92,500 The Data Analysis Specialist is primarily an on-site position, with the option to work from home two days per week. For full consideration, please submit your cover letter and resume/CV by October 17, 2025. Consults with faculty, students, and staff on projects involving data analysis, data visualization, software use, programming needs, and research data management. 40% Develops educational support systems for data analysis and research data management: 40% Designs and delivers workshops on data collection, wrangling, analysis, visualization, and interpretation methods and related software and programming languages; Develops instructional programs and learning materials in a variety of formats and for researchers at different levels of experience. Develop and deliver resources and guidelines on file and research data management practices, tools, and repositories Participates in and contributes to committees and work groups of the Library and the University. 10% Furthers knowledge in data services through: 10% attending, participating in, or contributing to trainings, conferences, webinars, and other types of professional development. maintaining knowledge of best practices, developments, and trends in data services. Qualifications Education: A graduate degree in a science field or related quantitative discipline is required. Preferred: Research experience in the sciences. Work Experience: 3-5 years of total related work experience Applied use of multiple programming languages including Python and R Data visualization tools like ggplot2 and matplotlib Experience or strong interest in teaching. ​ Familiarity with: Matlab Version control systems such as git/GitHub LaTeX typesetting Unix Shell Scripting (Bash) Research data management including work with sensitive or confidential information Equal Opportunity Statement Brandeis University is an equal opportunity employer which does not discriminate against any applicant or employee on the basis of race, color, ancestry, religious creed, gender identity and expression, national or ethnic origin, sex, sexual orientation, pregnancy, age, genetic information, disability, caste, military or veteran status or any other category protected by law (also known as membership in a "protected class")

The Company: NorthMark Strategies is a leading investment firm, combining capital, innovation, and engineering to drive long-term value. From operating complex businesses to backing breakthrough technologies, our mission is to build enduring businesses. Our team combines intelligent risk-taking, operational excellence, exceptional talent, and world-class computing capacity to create shareholder value. Our company offers a dynamic environment where individuals have the freedom to lead companies toward bold achievements by embracing innovation, leveraging technology, and fostering differentiated business strategies. Our values are Integrity, Ability, and Energy, and the company aims to hire individuals who possess those qualities. At NorthMark Strategies, we believe the future isn’t something to hope for, it’s something to build. We don’t just invest, we create. Bringing together strategic insight and technical horsepower to deliver outcomes that endure. Position Overview We are seeking a highly analytical and detail-oriented Senior Associate, Quant & Data Science to join our portfolio analytics group. Data is at the heart of our business, and we see the ability to embed data-driven insight into the fabric of daily management as a core driver of competitive advantage for the firm. As a quantitative / data science focused Senior Associate, you will be at the forefront of facilitating data-driven decision making across the business. Key Responsibilities: Develop and automate valuation and return calculations for a global multi-asset class portfolio Support the development of performance attribution frameworks to identify drivers of performance within and across various asset class portfolios Develop, enhance, and maintain quantitative models and risk management tools to measure and manage market, portfolio, and liquidity risks across both liquid and illiquid asset classes Provide technical competence in translating Excel-based models into programmatic solutions Be a motivated self-starter eager to understand performance analysis in disparate asset classes and develop programmatic solutions that drive toward a coordinated view of performance across our global enterprise Requirements: Practical experience in a finance-oriented qualitative setting in a fast-paced, dynamic environment Ability to dissect ambiguous problems and determine the appropriate analytical techniques to apply High proficiency in data extraction, data cleansing, and quantitative analysis Experience with Quantitative & Data Science for creating models Strong academic credentials with a degree in a quantitative field Experience with Python is required and other languages are a plus Experience with Pandas, NumPY, SciPy, SciKit, Matplotlib, etc. Experience in financial / investment analysis is required It is impossible to list every requirement for, or responsibility of, any position. Similarly, we cannot identify all the skills a position may require since job responsibilities and the Company’s needs may change over time. Therefore, the above job description is not comprehensive or exhaustive. The Company reserves the right to adjust, add to or eliminate any aspect of the above description. The Company also retains the right to require all employees to undertake additional or different job responsibilities when necessary to meet business needs. Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future. Benefits & Perks: Hybrid-Work Schedule : We provide a hybrid working schedule with 3 days a week in the office Company-Paid Lunch Stipend : Lunch is provided via GrubHub Company-Paid Benefits: 100% Employer-Paid Medical in our High Deductible Health Plan, Dental and Vision benefits for employees and their families, 16 weeks of Paid Parental Leave, Employee Assistance Program, Life insurance, Short-Term Disability and Long-Term Disability 401(k): Company will match 100% of your contributions up to 6% Optional Employee-Paid Benefits: Medical insurance in our PPO plan and a variety of other benefits such as Health Savings Accounts (with Company Contribution!), Flexible Spending Accounts, Supplemental Life Insurance, Wellhub and more. Time Off: 25 days of Paid Time Off plus 12 company holidays EQUAL OPPORTUNITY EMPLOYER NORTHMARK STRATEGIES LLC IS AN EQUAL EMPLOYMENT OPPORTUNITY EMPLOYER. THE COMPANY'S POLICY IS NOT TO DISCRIMINATE AGAINST ANY APPLICANT OR EMPLOYEE BASED ON RACE, COLOR, RELIGION, NATIONAL ORIGIN, GENDER, AGE, SEXUAL ORIENTATION, GENDER IDENTITY OR EXPRESSION, MARITAL STATUS, MENTAL OR PHYSICAL DISABILITY, AND GENETIC INFORMATION, OR ANY OTHER BASIS PROTECTED BY APPLICABLE LAW. THE FIRM ALSO PROHIBITS HARASSMENT OF APPLICANTS OR EMPLOYEES BASED ON ANY OF THESE PROTECTED CATEGORIES.

Job Description Infosys is seeking an AI/ML & Generative AI Engineer with deep expertise in designing, developing, and deploying advanced AI solutions, including Large Language Models (LLMs) and Agentic AI architectures. The ideal candidate will collaborate with clients to understand complex business challenges, architect scalable AI solutions, and deploy them using modern cloud platforms such as Azure ML and GCP AI Services. This role offers the opportunity to work on cutting-edge technologies in Generative AI, LLM fine-tuning, agentic orchestration, and vector databases, while shaping impactful consulting solutions across industries like Banking, Finance, and Capital Markets. Required Qualifications: Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. Candidate must live within commuting distance of Boston, MA or be willing to relocate. This position may require travel in the US. At least 4 years of experience in Information Technology Applicants authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time At least 4 years of experience in Python programming, including OOPs, data structures (queues, stacks, linked lists), and API development. At least 3 years of experience in Big Data technologies (e.g., BigQuery, Hadoop). At least 2 years of experience in cloud platforms (Azure, GCP) and their AI/ML services. At least 2 years of experience in ML model development, data engineering, and software engineering principles. At least 3 years of experience in MLOps and AI/ML deployment (e.g., SageMaker, Snowflake). At least 2 years of hands-on experience in Generative AI, LLMs, and agentic frameworks. Preferred Qualifications: Experience with API Gateway development and deployment on Azure/GCP. Hands-on experience with vector databases and RAG pipelines. Familiarity with CI/CD, DevOps, and automation tools in AI/ML contexts. Strong problem-solving skills and ability to evaluate multiple solution paths. Excellent communication and stakeholder management skills. Domain expertise in Banking, Finance, or Capital Markets is a plus. The job may entail extensive travel. The job may also entail sitting as well as working at a computer for extended periods of time. Candidates should be able to effectively communicate by telephone, email, and face to face.

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you're ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world's biggest financial problems. We're looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn't a place for complacency, it's where ambitious people do the best work of their careers. We're a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Customer Intelligence and AI (CIAI) team is a specialized Data Science group within Robinhood's Corporate Strategy organization. Our mission is to unlock deeper insights into customer behaviors, satisfaction, and market performance through Net Promoter Score (NPS), benchmarking, and advanced analytics. We apply data science, machine learning, and AI to improve customer experiences, drive operational efficiency, and inform company-wide strategy. We partner with teams across Robinhood-including Product, Data, Engineering, Marketing, Finance, and Research. Our work powers strategic decision-making, enhances operational performance, and integrates into data science and AI pipelines across the company. As a Data Scientist, Analytics on the CIAI team, you will strengthen and expand Robinhood's NPS and benchmarking capabilities. This includes designing and improving measurement frameworks, conducting deep-dive analyses, and shaping how Robinhood tracks and improves customer experience relative to competitors. You'll contribute to both recurring programs and new technical projects that advance our ability to measure company performance and improve decision-making efficiently. The ideal candidate is able to wear both technical and strategic hats-bringing strong analytical and programming skills, paired with curiosity and business acumen. You should feel comfortable moving between deep technical work (statistics, modeling, programming) and business impact (generating insights, influencing decisions, driving change). This role is based in our Menlo Park, CA, New York, NY or Chicago, IL offices, with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you'll do Strengthen Robinhood's NPS programs by supporting the full stack of data science work-from data pipelines and analytics to dashboarding, reporting, and deep-dive analysis. Drive innovation in the NPS space, including experimentation with AI- and LLM-based approaches to customer intelligence and feedback analysis. Build and maintain scalable data processes to collect, manage, and synthesize information from a wide range of internal and external sources. Support competitive benchmarking efforts, providing technical expertise for competitive intelligence and contextualizing Robinhood's performance relative to peers. Advocate for customers by helping establish best practices in how we measure, interpret, and act on customer feedback. What you bring 2-5 years of experience in an analytics or data science role, ideally blending quantitative analysis with business impact (e.g., roles in technology, financial services, consulting, or research). Degree or equivalent experience in a quantitative field such as Statistics, Mathematics, Computer Science, Engineering, or a related field. Proficiency in SQL and Python, with hands-on experience in data wrangling, visualization, and analysis. Familiarity with statistical modeling techniques; exposure to text analytics, natural language processing, or AI/LLM applications is a plus. Proven ability to translate complex data into clear, actionable insights that influence business decisions. Excellent attention to detail and ability to manage priorities and deadlines across multiple projects. Ownership mentality and self-starter attitude, with creativity and resourcefulness to solve ambiguous problems and drive outcomes. Excellent communication skills, with the ability to engage audiences across technical and non-technical teams and influence decision-making at multiple levels. What we offer Challenging, high-impact work to grow your career Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching Best in class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more Employer-paid life & disability insurance, fertility benefits, and mental health benefits Time off to recharge including company holidays, paid time off, sick time, parental leave, and more! Exceptional office experience with catered meals, events, and comfortable workspaces. In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits. Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process. Base Pay Range: Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC) $132,000-$155,000 USD Zone 2 (Denver, CO; Westlake, TX; Chicago, IL) $116,000-$136,000 USD Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL) $103,000-$121,000 USD Click here to learn more about our Total Rewards, which vary by region and entity. If our mission energizes you and you're ready to build the future of finance, we look forward to seeing your application. Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work-welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.

Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges-and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day-working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities for career growth, and a culture of innovation that embraces adaptability, collaboration, technical excellence, and people in partnership. If this sounds like the choice you want to make, then choose MITRE - and make a difference with us. NOTE: Thank you for your interest in MITRE's internship opportunities. Please be aware that this is not an application for a specific position. By submitting your information and providing your resume, you will be included in a pool of candidates for various internship roles across the company. If you are selected for consideration for a particular internship, a member of MITRE's Student Programs team will reach out to you. The primary hiring season for MITRE internships runs from September through March. You can monitor your application status here: Workday (myworkdayjobs.com). Job Responsibilities As an intern working in data science, operations research, math or statistics, you will work alongside a team of experts to apply your knowledge and gain hands-on experience in one or more of the following areas: Data analysis and visualization Augmented decision-making and trusted analytics Applied mathematics, statistics, and optimization Simulation and computational analytics Systems modeling and analysis Operational effectiveness and efficiency Knowledge discovery Next-generation data environments Basic Qualifications Must be a full-time student pursuing an accredited degree program in Data Science, Math, Statistics, Operations Research or related disciplines. Must continue to be enrolled the semester following the internship. Foundational knowledge of data science, math, statistics or operations research methodologies, frameworks, tools and/or programming languages. Must have sustained excellence in academic performance. Preferred Qualifications Experience applying data science, math, statistics or operations research concepts in an internship, research, or lab setting. Proficiency using data science, math, statistics or operations research methodologies, frameworks, tools and/or programming languages. Demonstrated interest in serving the public through previous work experience, volunteer activities, or other relevant engagements. Clearance: In addition to passing MITRE's employment background check, you may be submitted for a U.S. Government Security clearance. This is determined by the Department of Defense's adjudicative guidelines for receiving a clearance, to include U.S. citizenship. Other jobs may require vetting for various levels of agency public trust, fitness, suitability, controlled access, and special programs access determination consistent with the work program to which you are assigned. This requisition requires the candidate to have a minimum of the following clearance(s): This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s): Salary compensation range and midpoint: $45,500 - $57,000 - $68,500 Annual Work Location Type: Hybrid 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. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local or international law. MITRE intends to maintain a website that is fully accessible to all individuals. 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