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

General Summary Elevate is a leading online lending platform specializing in providing small dollar loans to individuals and businesses. Our mission is to offer accessible and responsible financial solutions through innovative technology and personalized service. As we continue to grow our operations, we are looking for a dynamic and strategic Vice President of Credit Risk Management to join our leadership team. Principal Duties and Responsibilities Strategic Leadership Develop and execute a comprehensive credit risk management strategy aligned with the company's growth objectives. Stay abreast of industry trends, competitive practices, and regulatory changes to inform strategic decisions. Collaborate with the executive team to integrate credit risk considerations into overall business strategy. Portfolio Performance Help design and monitor portfolio reports, dashboards, and KPIs that allow executive management to measure portfolio profitability. Develop and maintain a strong relationship with Marketing, IT, Legal/Compliance and other functions to ensure alignment of Risk Management initiatives with Company objectives. Work with internal risk partners to improve the efficiency and effectiveness of the end-to-end programs for each business. Analyze the expected risk impacts and profitability of new products/Marketing channels. Make recommendations and execute strategy enhancements to improve profitability through creative Risk Management solutions. Work with product and marketing to set goals on different financial levers (first pay defaults, fund rates, cost of acquisition, profitability, etc… Innovation and Technology Integration Champion the adoption and integration of innovative technologies that enhance risk assessment processes, such as AI and data analytics tools. Explore opportunities to improve customer experience and operational efficiency through technology solutions. Team Leadership and Development Lead and mentor a high-performing risk management team, promoting a culture of innovation, accountability, and collaboration. Foster talent development and ensure team members have access to the training and development they need to excel. Regulatory Compliance and Governance Ensure all credit risk management practices are compliant with relevant laws and regulations. Collaborate with legal and compliance teams to develop risk policies and procedures that align with best practices and regulatory requirements. Stakeholder Engagement Build strong relationships with internal and external stakeholders, including executives, product teams, and regulatory bodies. Present credit risk strategies and findings to the board and senior leadership in a clear and compelling manner. Experience and Education Master's degree in Finance, Business Administration, Economics, or a related field; PhD preferred. 10+ years of experience in credit risk management within the financial services or online lending industry. Proven track record of strategic leadership and driving high-impact initiatives successfully. Strong expertise in credit risk modeling methods, including experience with machine learning techniques. Excellent understanding of regulatory requirements and best practices in credit risk management. Exceptional analytical skills, with the ability to synthesize complex data and make informed decisions. Proven ability to drive innovation using technology and data analytics. Strong interpersonal and communication skills, with the ability to influence at all levels of the organization. California Employee Privacy Policy | Family & Medical Leave Act | Employee Polygraph Protection Act |E-Verify #LI-BJ1

Department BSD PSY - Lyons Lab About the Department To transform mental health through compassionate, innovative interdisciplinary care, pioneering research, and the education of future leaders dedicated to advancing the well-being of individuals, families, and their communities. Job Summary The job provides professional support and solves problems in collecting, organizing, and analyzing information from the University's various internal data systems as well as from external sources The job performs data analysis assignments related to data manipulation, statistical applications, programming, analysis and modeling in order to support projects. The Sr. Data Analyst supports the organization's data and analytics work by collecting, analyzing, and interpreting data to inform decision-making, program improvement, and research. This role helps ensure that data is accurate, accessible, and actionable for staff, partners, and stakeholders. Responsibilities Collect, clean, and organize data from multiple sources. Conduct analyses using statistical and computational methods. Develop data visualizations, dashboards, and reports to share findings. Collaborate with program, training, and operations teams to apply data insights to projects. Ensure data quality, security, and integrity across systems. Contribute to cross-team initiatives by embedding data-informed practices. Develop and code data dictionaries for discrete data. Write, Implement, and develop efficient code and machine learning tools and pipelines for data processing and analysis. Work with collaborators to implement emerging external computational tools for program data. Develop training material. Keep lab's knowledge-based trainings up to date. Calibrates data between large and complex research and administrative datasets. Guides and may set the operational protocols for collecting and analyzing information from the University's various internal data systems as well as from external sources. Designs and evaluates statistical models and reproducible data processing pipelines using expertise of best practices in machine learning and statistical inference. Provides expertise for high level or complex data-related requests and engages other IT resources as needed. Analyzes moderately complex data sets for the purpose of extracting and purposefully using applicable information. Provides professional support to staff or faculty members in defining the project and applying principals of data science in manipulation, statistical applications, programming, analysis and modeling. 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: Advanced degree. Experience: Experience in python including torch and scikit-learn libraries strongly preferred. Experience in working with image data or unstructured text data with large language models. Preferred Competencies Proficiency in Python, R, SQL, or other statistical programming languages. Experience with data visualization platforms such as Tableau or Power BI. Strong analytical and problem-solving skills. Ability to communicate complex findings in accessible ways. Detail-oriented with a commitment to data accuracy and quality. Experience working with research or program evaluation data strongly preferred. Proficiency in Microsoft Office 365. Strong Analytical skills. Problem-solving skills. Organizational skills. Verbal and written communication skills. Ability to work independently and as part of a team. Application Documents Resume (required) Cover Letter (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 40 Drug Test Required No Health Screen Required No Motor Vehicle Record Inquiry Required No Pay Rate Type Salary FLSA Status Exempt Pay Range $70,000.00 - $100,000.00 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.

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

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.

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 Portfolio Management Job Category: Professional All Job Posting Locations: Cambridge, Massachusetts, United States of America, New Brunswick, New Jersey, United States of America, Raritan, New Jersey, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description: Johnson and Johnson Innovative Medicine (J&J IM), a pharmaceutical company of Johnson & Johnson is recruiting for a Senior Director, Head of Hematology R&D Data Science & Digital Health. This position has a primary location of Spring House, PA but is also open to Cambridge, MA; Titusville; NJ, Raritan, NJ; or New Brunswick, NJ. The position requires 25% travel. 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 This role will direct and lead efforts to deliver innovative end-to-end Data Science & Digital Solutions to the Oncology Hematology portfolio. This will include both early and late stage pipeline assets. This person will lead a team aimed at supporting the Clinical Development Teams (CDTs) with the full spectrum of Data Science capabilities, such as novel endpoints, real-world evidence, and digital diagnostics using AI/ML and other appropriate methods. This role will lead clinical-stage therapies such as Darzalex, Tecvayli and Talvey. Additional responsibilities include capability and talent development, resource management and deployment, and supporting an organizational culture that promotes data-driven decision-making across all functions of Johnson & Johnson Innovative Medicine- R&D Oncology. You will be a thought leader within Janssen R&D in the field of applied use of innovative methodologies in clinical trials. The Applicant will: Be responsible for leading a team of Data Scientists who partner with cross functional Compound Development Teams for clinical-stage hematologic cancers in building and implementing Data Science plans to support clinical/research objectives throughout the trial lifecycle. Data Science applications will include Real-World Evidence, cell profiling, clinical phenotyping, computer vision/medical imaging that leverage technologies such as statistical methodologies, AI/Machine learning techniques (e.g. Generative AI). Actively manage a team to communicate Data Science plans for Compound Development Teams. This will include seeking and managing feedback with internal and external stakeholders and developing fit-for-purpose studies serving CDT objectives. Develop data, analytic and reporting requirements for Data Science-related projects for the CDTs. This will include both regulatory-grade and observational research. Identify and procure data sets and technologies for bespoke applications. Manage external partnerships. Work with clinical and internal Data Science teams and external partners to execute analytics and report results. The candidate will be responsible for liaising with external partners including regulatory agencies. The candidate will be responsible for communicating and interpreting scientific results, as well as projecting implications of Data Science research. Qualifications: Advance degree in Health Science (Ph.D or MD) or Masters Degree, Pharm D with equivalent work experience with data analysis, interpretation and experimental design. A background in one or more of the following areas is beneficial: clinical oncology, computational research, pharmaco-epidemiology, statistics, outcomes research or related field in health care area. 8+ years of health-care related research, such as disease/clinical phenotyping, outcomes research, clinical genomics Strong working knowledge of drug development, with established expertise with one or more components of drug development, such as translational research, clinical studies, or regulatory interactions. Familiarity with healthcare relevant datasets, such as EHR/RWD, genomics, insurance claims Capacity to manage timelines and drive key deliverables in a matrix environment. Established leadership skills, including management of individuals and teams working towards common clinical/scientific goals Prior experience working and driving external partnerships, either corporate or academic Ability to effectively communicate technical work to a wide audience. Team leadership either preferably as a line function leader or in some cases leader in a matrix environment Preferred: Experience with digital heath outcome solutions for Oncology therapies. Prior experience serving on multifunctional teams delivering clinical trials in an R&D or Medical Affairs setting. Proficiency with regulatory submissions and interaction. Experience with novel, innovative approaches to drug development, such as Generative AI.s 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 Required Skills: Preferred Skills: The anticipated base pay range for this position is : Additional Description for Pay Transparency:

At Gilead, we're creating a healthier world for all people. For more than 35 years, we've tackled diseases such as HIV, viral hepatitis, COVID-19 and cancer - working relentlessly to develop therapies that help improve lives and to ensure access to these therapies across the globe. We continue to fight against the world's biggest health challenges, and our mission requires collaboration, determination and a relentless drive to make a difference. Every member of Gilead's team plays a critical role in the discovery and development of life-changing scientific innovations. Our employees are our greatest asset as we work to achieve our bold ambitions, and we're looking for the next wave of passionate and ambitious people ready to make a direct impact. We believe every employee deserves a great leader. People Leaders are the cornerstone to the employee experience at Gilead and Kite. As a people leader now or in the future, you are the key driver in evolving our culture and creating an environment where every employee feels included, developed and empowered to fulfil their aspirations. Join Gilead and help create possible, together. Job Description As a Gilead intern you will contribute to high-impact meaningful projects that will not only further advance our company's mission but will allow you to gain real world experience at one of the most innovative organizations in the world. You will also have opportunities to participate in special events including professional development and leadership presentations, social/network building activities and local community volunteer programs. We are seeking a highly motivated and intellectually curious technical intern to join our AI/ML team. This internship offers a unique opportunity to contribute to cutting-edge research and development at the intersection of Generative AI, natural language processing (NLP), knowledge graph construction, and biomedical data science. As an intern, you will collaborate with experienced data scientists and engineers to build intelligent systems that extract, represent, and reason over biomedical knowledge. You'll gain hands-on experience working with real-world data and advanced machine learning techniques, while contributing to impactful projects that support scientific discovery and innovation. Key Responsibilities will include, but are not limited to the following: Assist in the development and evaluation of NLP models for biomedical text mining. Contribute to the construction and enrichment of biomedical knowledge graphs. Explore and prototype generative AI applications for scientific literature and data. Analyze structured and unstructured biomedical datasets to extract meaningful insights. Collaborate with cross-functional teams to integrate AI solutions into research workflows. Document findings, present results, and contribute to technical publications or internal reports. Showcase your work with a final presentation (PPT) near the conclusion of your internship Required Qualifications: Must be at least 18 years old Must have a minimum GPA of 2.8 Authorized to work in the United States without Sponsorship now or in the future or CPT/OPT through your University. Must be currently enrolled as a full-time student in a Bachelor's/Masters/PhD program at an accredited US based university or college Must be a Rising Sophomore, Junior, or Senior in undergrad or a Graduate or Doctoral Student Must be enrolled full-time in the Fall Semester at an accredited university/college after the completion of the internship Must be able to complete a 10-12 consecutive week internship between May and August Must be able to relocate if necessary and work at the designated site for the duration of the internship Preferred Qualifications: Currently pursuing a degree in Computer Science, Data Science, Bioinformatics, Computational Biology, or a related field. Strong programming skills in Python and familiarity with ML libraries (e.g., PyTorch, TensorFlow, scikit-learn). Experience or coursework in NLP, machine learning, or biomedical informatics. Familiarity with knowledge graphs, ontologies, or semantic technologies is a plus. Exposure to LLMs, transformers, or generative models. Prior research or internship experience in AI/ML or biomedical domains. Strong communication and collaboration abilities. Proficiency with MS Office Suite. Ability to identify issues and seek solutions. Ability to work both independently and collaboratively. Demonstrated commitment to inclusion and diversity in the workplace. Efficient, organized, and able to handle short timelines in a fast-paced environment. What You'll Gain: Mentorship from experienced AI/ML professionals. Exposure to real-world applications of AI in biomedical research. Opportunity to contribute to impactful projects with potential for publication. A collaborative and inclusive work environment that values innovation and curiosity. Gilead Core Values: Integrity (Doing What's Right) Inclusion (Encouraging Diversity) Teamwork (Working Together) Excellence (Being Your Best) Accountability (Taking Personal Responsibility) The expected hourly range for this position is $19.00 - $55.00. Gilead considers a variety of factors when determining base compensation, including education level and geographic location. These considerations mean actual compensation will vary. Benefits include paid company holidays, sick time, and housing stipends for eligible employees. For jobs in the United States: Gilead Sciences Inc. is committed to providing equal employment opportunities to all employees and applicants for employment, and is dedicated to fostering an inclusive work environment comprised of diverse perspectives, backgrounds, and experiences. Employment decisions regarding recruitment and selection will be made without discrimination based on race, color, religion, national origin, sex, age, sexual orientation, physical or mental disability, genetic information or characteristic, gender identity and expression, veteran status, or other non-job related characteristics or other prohibited grounds specified in applicable federal, state and local laws. In order to ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veterans' Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact ApplicantAccommodations@gilead.com for assistance. For more information about equal employment opportunity protections, please view the 'Know Your Rights' poster. NOTICE: EMPLOYEE POLYGRAPH PROTECTION ACT YOUR RIGHTS UNDER THE FAMILY AND MEDICAL LEAVE ACT Gilead Sciences will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, (c) consistent with the legal duty to furnish information; or (d) otherwise protected by law. Our environment respects individual differences and recognizes each employee as an integral member of our company. Our workforce reflects these values and celebrates the individuals who make up our growing team. Gilead provides a work environment free of harassment and prohibited conduct. We promote and support individual differences and diversity of thoughts and opinion. For Current Gilead Employees and Contractors: Please apply via the Internal Career Opportunities portal in Workday.

TransUnion's Job Applicant Privacy Notice Personal Information We Collect Your Privacy Choices What We'll Bring: At TransUnion, we strive to build an environment where our associates are in the driver's seat of their professional development, while having access to help along the way. We encourage everyone to pursue passions and take ownership of their careers. With the support of colleagues and mentors, our associates are given the tools needed to get where they want to go. Regardless of job titles, our associates have the opportunity to learn new things and be a leader every day. Come be a part of our team - you'll work with great people, pioneering products and cutting-edge technology. This role will act as a key leader of the Global Data Science & Analytics (GD&A) Product Development team. This role requires data science expertise and resources necessary to build market-leading data products and analytic solutions in support of TransUnion's Fraud roadmap. Maintains a strong vision of the state-of-the-art and competitive landscape, advising on the best way (the "how") to achieve objectives defined by Global Solutions stakeholders (the "what"). Incorporates innovation arising across GD&A and the broader enterprise into standards that enable consistent, high-quality, scaled development. This role will partner and collaborate with stakeholders across Global Technology, Data & Analytics (GTDA) and Solutions. What You'll Bring: 10+ years in data science and analytics 5+ years in progressively more challenging team management and leadership roles Master's or PhD degree in statistics, applied mathematics, quantitative economics/finance, engineering, operations research, physical sciences, computer science or another highly quantitative field strongly preferred. Technical Skills: Advanced programming skills and aptitude; mastery of statistical programs such as Python or R; mastery of other programming and data manipulation languages and big data platforms (SQL, Spark, C/C++, Java); experience with modern cloud computing platforms (AWS, GCP, OneTru); high level of familiarity with Microsoft Office tools; Deep, hands-on expertise applying AI (ML, agentic, LLMs), statistical inference, and predictive modeling methods in a commercial setting including real-time modeling, adversarial modeling, financial crimes, and anomaly detection. Functional Skills: Evidence of strong analytical, critical, and creative thinking and willingness to take initiative in problem-solving. Demonstrated interest and proven career path in industries served by TransUnion, such as financial services, insurance, fraud, and digital marketing. Ability to lead complex analytic projects under limited supervision and in close coordination with matrix partners. Strong project and time management skills to lead multiple complex portfolios and work streams simultaneously with minimal if any direct supervision in a collaborative and fast-paced environment. This may require the need to make impactful project decisions and recommendations, taking ownership for actions and providing a robust framework for justifying, defending, and documenting such actions across multiple stakeholder levels. Additionally, the role may require the management of multiple resources within a project and the effective coordination of tasks across resources using clear workflows. Behavioral Competencies: Excellent business acumen and versatile interpersonal skills to communicate effectively at multiple levels - including executives - within a complex and dynamic matrix organization. Knows the organization and can flexibility adapt to changes in business objectives or organizational structure. Strong verbal and written communication skills. Proven ability to translate technical concepts into articulate, actionable recommendations in a manner that is suitable to influence business partners and decision-makers inside and outside towards desired outcomes. A champion of change, able to influence others to adopt new concepts and practices. Impact You'll Make: Proactively analyze alternative data assets and AI methods for potential impacts to new and existing products, drafting business cases for Solutions review as warranted Develop generalized, off-the-shelf scores, attributes, and other analytic solutions with alignment to the Fraud roadmap, supporting all stages of the product development lifecycle (PDLC) that are applicable to a variety of business processes, industries, and regions. Use cases include identity fraud, digital fraud, and other analytic disciplines includes modeling, simulation, and optimization. Design, develop, and continually improve common global frameworks to accelerate product development and facilitate consistent, efficient delivery through OneTru and other TransUnion platforms Maintain and continually enhance global best practices for model development, including development and delivery of a training curriculum, leveraging new capabilities developed by R&D As a member of the multiple, cross-organizational working groups and projects, advocate for innovative solution designs and approaches to enhance TransUnion's long-term competitiveness Maintain complete and accurate records of department activities to support resource optimization and all levels of reporting Attract and nurture leading data science talent, creating opportunities for continual professional growth #LI-KJ1 Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, Fair Chance Initiative for Hiring Ordinance, and the California Fair Chance Act. Adherence to Company policies, sound judgment and trustworthiness, working safely, communicating respectfully, and safeguarding business operations, confidential and proprietary information, and the Company's reputation are also essential expectations of this position. This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week. Benefits: TransUnion provides flexible benefits including flexible time off for exempt associates, paid time off for non-exempt associates, up to 12 paid holidays per year, health benefits (including medical, dental, and vision plan options and health spending accounts), mental health support, disability benefits, up to 12 weeks of paid parental leave, adoption assistance, fertility planning coverage, legal benefits, long-term care insurance, commuter benefits, tuition reimbursement, charity gift matching, employee stock purchase plan, 401(k) retirement savings with employer match, and access to TransUnion's Employee Resource Groups. Spousal, domestic partner, and other eligible dependent coverage is available on select health and welfare plans. We are committed to being a place where diversity is not only present, it is embraced. As an equal opportunity employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, veteran status, genetic information, marital status, citizenship status, sexual orientation, gender identity or any other characteristic protected by law. Additionally, in accordance with Section 503 of the Rehabilitation Act of 1973 and the Vietnam Era Veterans' Readjustment Assistance Act of 1974, TransUnion takes affirmative action to employ and advance in employment qualified individuals with a disability and protected veterans in all levels of employment and develops annual affirmative action plans. Components of TransUnion's Affirmative Action Program for individuals with disabilities and protected veterans are available for review to any associate or applicant for employment upon request by contacting ERCoE@transunion.com. Pay Scale Information : The U.S. base salary range for this position is $166,800.00 - $250,000.00 annually. *The salary range for this position reflects a reasonable estimate of the range of compensation for this job. At TransUnion, actual compensation is based on careful consideration of additional factors such as (but not limited to) an individual's education, training, work experience, job-related skill set, location, and industry knowledge, as well as the scope and responsibilities of the position and market considerations. Regular, fulltime non-sales positions may be eligible to participate in TransUnion's annual bonus plan. Certain positions may be also eligible for long-term incentives and other payments based on applicable company guidance and plan documents. TransUnion's Internal Job Title: Sr Director, Data Science and Analytics Company: TransUnion LLC

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.

Recognized as the No. 1 site trusted by real estate professionals, Realtor.com has been at the forefront of online real estate for over 25 years, connecting buyers, sellers, and renters with trusted insights and expert guidance to find their perfect home. Through its robust suite of tools, Realtor.com not only makes a significant impact on the real estate industry at large, but for consumers, navigating the biggest purchase they will make in their life, by providing a user experience that is easy to use, easy to understand, and most of all, easy to make decisions. Join us on our mission to empower more people to find their way home by breaking barriers to entry, making the right connections, and building confidence through expert guidance. About the Role Realtor.com is a two-sided platform helping match the consumers on our site and apps to our paying customers. The Customer Data Science & Analytics team at Realtor.com provides trusted data and insights to optimize every aspect of our customer experience and to drive the company's commercial performance.We are looking for a hands-on, experienced manager to lead a team of data scientists and business analysts, acting as a trusted partner to our sales, marketing, and product stakeholders helping them answer the most critical business questions. Reporting to the Director of Commercial Data Science & Analytics, this role manages multiple areas of work and plays a critical part in driving key strategies and decisions on how to improve sales, customer acquisition, retention, and growth.This is a job for a full-stack data scientist with leadership skills and significant experience in stakeholder management and project management. You are expected to not just react to needs/asks but also actively identify opportunities to move the needle in meaningful ways, in collaboration with a diverse set of cross-functional partners across product, sales, B2B Marketing, engineering, finance, and others. What you'll do Lead and mentor a team of data scientists and business analysts, providing technical guidance and career coaching, establishing the frameworks for managing and executing work, ensuring quality of work and on-time completion, and fostering a culture of collaboration and innovation. Develop data and analytics strategies that are aligned with goals and priorities in the assigned business areas. Partner closely with stakeholders to understand/clarify needs and requirements, and work with team members to conduct analysis and/or develop data science solutions to address the needs. Work with large and complex data sets to solve a wide array of challenging problems using different data science methods including but not limited to regression, classification, time series, cluster analysis, and advanced machine learning algorithms. Create trusted analytic data layers that serve as the single version of truth and enable wide access to key data and metrics. Build and continuously improve reporting capabilities (e.g., Tableau dashboards) that provide self-serve access to valuable insights about the business and empower decision making. Carry out deep-dive analysis to explain observations and trends. Build data science models to surface actionable insights from large and complex data, predict trends or customer propensity, and optimize operations and resource allocations. Design and execute experimentation to test business hypotheses, prepare test readouts, and provide data-driven recommendations. Prepare deliverables and regularly present work to technical and non-technical audiences. You will convince and influence leaders using clear insights and recommendations, and build credibility through structure and clarity. Build strong partnerships with a wide range of cross-functional stakeholders and actively identify and unlock opportunities to improve business performance with data and analytics. Closely collaborate across the Customer Data Science & Analytics organization to ensure broad adoption of data science and analytics initiatives to drive value across the entire customer business. How We Work: We balance creativity and innovation on a foundation of in-person collaboration. For most roles, our employees work three or more days in our offices, where they have the opportunity to collaborate in-person, adding richness to our culture and knitting us closer together. What you'll bring We are looking for a player-coach leader who's intellectually curious, passionate about solving complex business problems using data and analytics, and is able to move fast while maintaining focus on high-impact projects. Minimum Qualifications Bachelor's degree, ideally in a quantitative field (e.g., Statistics, Applied Mathematics, Operations Research, Industrial Engineering, Econometrics, Data Science, Computer Science). 6+ years of professional experience in data science and analytics, with 2+ years experience managing people. SQL fluency is a must, with 5+ years of experience. 3+ years of experience using a scripting language like Python or R. Significant experience with experimentation in a business context, including test design, execution, tracking and analysis of results, and readout/recommendations. Strong communication skills for stakeholder engagement and team leadership. Proven experience using data and analytics to drive revenue and other business KPIs, and doing so in a proactive manner by actively seeking to identify opportunities. Experience in collaborating with cross-functional partners. Experience managing multiple priorities and adapting to changing business needs. Preferred Qualifications Master's or Ph.D. degree in a quantitative field or in Business Analytics with a strong quantitative background. Experience with cloud-based data environments such as Snowflake and AWS. Experience building and managing analytic data layers. Knowledge of ETL processes, data environments, data governance principles, etc. Knowledge of DBT, Airflow, and Snowflake preferred. Experience in leading reporting/data visualization capabilities (using Tableau or similar tools). Understanding of infrastructure, monitoring, and alerting necessary to support highly visible and business-critical reporting. Demonstrated ability to develop a roadmap for complex technical initiatives and effectively communicate progress against that roadmap. How we Reward you: Realtor.com is committed to investing in the health and wellbeing of our employees and their families. Our benefits programs include, but are not limited to: Inclusive and Competitive medical, Rx, dental, and vision coverage Family forming benefits 13 Paid Holidays Flexible Time Off 8 hours of paid Volunteer Time off Immediate eligibility into Company 401(k) plan with 3.5% company match Tuition Reimbursement program for degreed and non-degreed programs 1:1 personalized Financial Planning Sessions Student Debt Retirement Savings Match program Free snacks and refreshments in each office location Do the best work of your life at Realtor.com Here, you'll partner with a diverse team of experts as you use leading-edge tech to empower everyone to meet a crucial goal: finding their way home. And you'll find your way home too. At Realtor.com, you'll bring your full self to work as you innovate with speed, serve our consumers, and champion your teammates. In return, we'll provide you with a warm, welcoming, and inclusive culture; intellectual challenges; and the development opportunities you need to grow. Diversity is important to us, therefore, Realtor.com is an Equal Opportunity Employer regardless of age, color, national origin, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, marital status, status as a disabled veteran and/or veteran of the Vietnam Era or any other characteristic protected by federal, state or local law. In addition, Realtor.com will provide reasonable accommodations for otherwise qualified disabled individuals.

TransUnion's Job Applicant Privacy Notice Personal Information We Collect Your Privacy Choices What We'll Bring: At TransUnion, we have a welcoming and energetic environment that encourages collaboration and innovation we're - consistently exploring new technologies and tools to be agile. This environment gives our people the opportunity to hone current skills and build new capabilities, while discovering their genius. Come be a part of our team - you'll work with great people, pioneering products and cutting-edge technology.. This role will act as a key leader of the Global Data Science & Analytics (GD&A) Product Development team. This role requires data science expertise and resources necessary to build market-leading data products and analytic solutions in support of TransUnion's Marketing roadmap. Maintains a strong vision of the state-of-the-art and competitive landscape, advising on the best way (the "how") to achieve objectives defined by Global Solutions stakeholders (the "what"). Incorporates innovation arising across GD&A and the broader enterprise into standards that enable consistent, high-quality, scaled development. This role will partner and collaborate with stakeholders across Global Technology, Data & Analytics (GTDA) and Solutions. What You'll Bring: 15+ years in data science and analytics 7+ years in progressively more challenging team management and leadership roles Master's or PhD degree in statistics, applied mathematics, economics/finance, engineering, operations research, computer science or another highly quantitative field strongly preferred. Technical Skills: Advanced programming skills and aptitude; mastery of statistical programs such as Python or R; mastery of other programming and data manipulation languages and big data platforms (SQL, Spark, C/C++, Java); experience with modern cloud computing platforms (AWS, GCP, OneTru); high level of familiarity with Microsoft Office tools; Deep, hands-on expertise applying AI (ML, agentic, LLMs), statistical inference, and predictive modeling methods in a commercial setting including real-time modeling, measurement, segmentation, MTA, MMM, AdTech, MarTech, customer analytics, and transaction analytics. Functional Skills: Evidence of strong analytical, critical, and creative thinking and willingness to take initiative in problem-solving. Demonstrated interest and proven career path in industries served by TransUnion, such as financial services, insurance, fraud, and digital marketing. Ability to lead complex analytic projects under limited supervision and in close coordination with matrix partners. Strong project and time management skills to lead multiple complex portfolios and work streams simultaneously with minimal if any direct supervision in a collaborative and fast-paced environment. This may require the need to make impactful project decisions and recommendations, taking ownership for actions and providing a robust framework for justifying, defending, and documenting such actions across multiple stakeholder levels. Additionally, the role may require the management of multiple resources within a project and the effective coordination of tasks across resources using clear workflows. Behavioral Competencies: Excellent business acumen and versatile interpersonal skills to communicate effectively at multiple levels - including executives - within a complex and dynamic matrix organization. Knows the organization and can flexibility adapt to changes in business objectives or organizational structure. Strong verbal and written communication skills. Proven ability to translate technical concepts into articulate, actionable recommendations in a manner that is suitable to influence business partners and decision-makers inside and outside towards desired outcomes. A champion of change, able to influence others to adopt new concepts and practices. Impact You'll Make: Proactively analyze alternative data assets and AI methods for potential impacts to new and existing products, drafting business cases for Solutions review as warranted Develop generalized, off-the-shelf scores, attributes, and other analytic solutions with alignment to the Marketing roadmap, supporting all stages of the product development lifecycle (PDLC) that are applicable to a variety of business processes, industries, and regions. Use cases include customer segmentation, customer lifetime value, churn prediction, recommender systems, leads scoring, and market response, among others. Design, develop, and continually improve common global frameworks to accelerate product development and facilitate consistent, efficient delivery through OneTru and other TransUnion platforms Maintain and continually enhance global best practices for model development, including development and delivery of a training curriculum, leveraging new capabilities developed by R&D As a member of the Cross-Functional Leadership Team (CFLT) and related Councils, advocate for innovative solution designs and approaches to enhance TransUnion's long-term competitiveness Maintain complete and accurate records of department activities to support resource optimization and all levels of reporting Attract and nurture leading data science talent, creating opportunities for continual professional growth #LI-KJ1 Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, Fair Chance Initiative for Hiring Ordinance, and the California Fair Chance Act. Adherence to Company policies, sound judgment and trustworthiness, working safely, communicating respectfully, and safeguarding business operations, confidential and proprietary information, and the Company's reputation are also essential expectations of this position. This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week. Benefits: TransUnion provides flexible benefits including flexible time off for exempt associates, paid time off for non-exempt associates, up to 12 paid holidays per year, health benefits (including medical, dental, and vision plan options and health spending accounts), mental health support, disability benefits, up to 12 weeks of paid parental leave, adoption assistance, fertility planning coverage, legal benefits, long-term care insurance, commuter benefits, tuition reimbursement, charity gift matching, employee stock purchase plan, 401(k) retirement savings with employer match, and access to TransUnion's Employee Resource Groups. Spousal, domestic partner, and other eligible dependent coverage is available on select health and welfare plans. We are committed to being a place where diversity is not only present, it is embraced. As an equal opportunity employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, veteran status, genetic information, marital status, citizenship status, sexual orientation, gender identity or any other characteristic protected by law. Additionally, in accordance with Section 503 of the Rehabilitation Act of 1973 and the Vietnam Era Veterans' Readjustment Assistance Act of 1974, TransUnion takes affirmative action to employ and advance in employment qualified individuals with a disability and protected veterans in all levels of employment and develops annual affirmative action plans. Components of TransUnion's Affirmative Action Program for individuals with disabilities and protected veterans are available for review to any associate or applicant for employment upon request by contacting ERCoE@transunion.com. Pay Scale Information : The U.S. base salary range for this position is $193,500.00 - $406,500.00 *The salary range for this position reflects a reasonable estimate of the range of compensation for this job. At TransUnion, actual compensation is based on careful consideration of additional factors such as (but not limited to) an individual's education, training, work experience, job-related skill set, location, and industry knowledge, as well as the scope and responsibilities of the position and market considerations. Regular, fulltime non-sales positions may be eligible to participate in TransUnion's annual bonus plan. Certain positions may be also eligible for long-term incentives and other payments based on applicable company guidance and plan documents. TransUnion's Internal Job Title: VP, Data Science and Analytics Company: TransUnion LLC

Department AI Data Science 4 Everyone About the Department Data Science 4 Everyone (DS4E) is a national initiative working to catalyze the adoption of data science and data literacy as a fundamental component of K-12 education. Incubated at the University of Chicago Center for RISC and popularized by the 2019 Freakonomics podcast America's Math Curriculum Doesn't Add Up, DS4E is quickly expanding our dedicated team at the University of Chicago, striving to teach students the basics of modern data across school subjects and grade levels. In just 4 years, DS4E has catalyzed support for data science education in 32 states and counting, hundreds of schools, and with numerous national partners. As a field catalyst, DS4E builds awareness with local, state, and national leaders; centralizes and disseminates resources; hosts convenings and communities of practice; creates unique partnerships to support educators across the country; and helps schools and districts design new K-12 programs for all students. Job Summary DS4E is seeking a Deputy Director to guide the organization through its next chapter of growth and impact. We're looking for a leader who is passionate about bridging the country's digital divide, cares deeply about the structures and practices that make a nonprofit thrive, and brings a systems lens to building internal strength while advancing an ambitious external agenda. This individual will draw upon a diverse set of experiences in the education sector to identify new focus areas or refine existing ones, continuously shape DS4E's role in a dynamic and fast-evolving field, and rigorously evaluate what is working and what is not. As the team enters an important new phase of growth and formalization, the Deputy Director will play a key role in ensuring coherence across strategy, structure, and execution, including with new organizational structures. A thought partner and operational leader, this person will regularly collaborate with DS4E's Executive Director, funders, and team to co-develop strategy and then translate it into focused plans, clear priorities, and systems that support strong delivery. They will foster internal cohesion, manage cross-team execution, and help build a sustainable foundation for DS4E's continued influence in education, policy, and innovation. The Deputy Director will report directly to the Executive Director of DS4E. The following team members will report to the Deputy Director: the Instructional Director, Policy Director, and Partnerships Manager. Additionally, the Strategic Initiatives Manager may also report to the Deputy Director. This structure is designed to support coherent leadership across DS4E's key functional areas while enabling the Executive Director to focus on external relations, fundraising, and high-level strategy. Responsibilities Serves as the internal anchor for a fast-growing, distributed team, connecting workstreams and reducing fragmentation. Manages and mentors team leads, supporting them to grow as people managers and confident decision-makers. Fosters a collaborative, inclusive culture that balances autonomy with shared accountability. Partners with the Executive Director to translate vision into clear organizational priorities and multi-year strategies. Leads annual and quarterly planning processes, ensuring staff are aligned on goals and how they'll get there. Evaluates new opportunities against mission, capacity, and timing, making tough calls when needed. Ensures timely, transparent communication across teams and leadership, avoiding silos and confusion. Steps in to make high-leverage decisions when needed, especially in moments of ambiguity or urgency. Helps the team balance responsiveness with focus, knowing when to move quickly and when to hold the line. Builds and maintains lightweight, effective systems to track timelines, budgets, deliverables, and capacity. Oversees the execution of major cross-functional efforts, such as assessment roadmap, development of an independent organizational entity, ensuring scalable systems and infrastructure are in place to support long-term growth. Leads cross-functional coordination by partnering with the Operations Manager to ensure finance and grant processes facilitate execution. Provides oversight of floating grant accounts, stewards the evolution toward a hybrid operating structure, and builds systems to monitor financial data, project timelines, and initiative progress, supporting teams to stay focused, aligned, and well-resourced. Develops and administers program budgets and recommends or makes budgetary recommendations. Serves as a key resource for program information. Resolves problems or questions referred by program staff, University administrators, or other contingencies. 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 7+ years of work experience in a related job discipline. Certifications: -- Preferred Competencies Familiarity with the K-12 education landscape, including experience working within or alongside schools, districts, or state agencies, such as through roles in publishing, education nonprofits, or other mission-aligned organizations. Proven track record leading teams or departments in mission-driven settings, such as nonprofit, education, or social impact organizations, particularly through periods of organizational growth, strategic change, or increasing operational complexity. Leading and developing individuals at all levels, with a track record of cultivating emerging leaders through structured support, clear communication, and intentional team-building practices. Demonstrated success designing and implementing systems for project planning, team coordination, budgeting, and grant management, including restricted and unrestricted funding. Skilled communicator with a track record of translating strategy and priorities across internal teams and external stakeholders such as funders, education leaders, and policymakers. Evidence of sound judgment and strategic prioritization, including the ability to assess tradeoffs, say no when needed, and focus an organization on high-impact work. Comfortable operating in fast-paced, ambiguous environments, with a disciplined approach to managing multiple priorities and aligning team efforts. Recognized for a leadership style rooted in humility, clarity, and trust, with a service-oriented approach to collaboration. Working Conditions 100% remote work. Occasional travel, including nights and weekends. Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of their job. Application Documents Resume/CV (required) Cover Letter (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 Administration & Management 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 $120,000.00 - $140,000.00 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.

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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Job Description As a Principal Machine Learning Engineer at Nordstrom you will have the opportunity to develop and implement advanced machine learning systems and infrastructure, focusing on Merchandising, Supply Chain, and Inventory helping Nordstrom optimize profit while improving the customer experience. The Principal ML Engineer will collaborate closely with data scientists, software engineers, and product teams to translate complex business problems into production-ready solutions. You will drive architectural decisions for high-performance computing and cloud-based ML platforms, ensuring scalability and security. Your responsibilities include creating models and optimizing model performance, ensuring system reliability, and implementing efficient data pipelines. Additionally, you will mentor junior engineers and stay updated on emerging technologies to guide strategic innovation. Your role is critical in delivering robust, scalable, and efficient machine learning solutions that support business growth and innovation. A day in the life... Design, implement, and scale critical machine learning systems and infrastructure to support Nordstrom's business, particularly in Merchandising, Supply Chain, and Inventory. Collaborate with cross-functional teams to set and align on machine learning platform strategies to meet company objectives. Stay up-to-date with the latest technology in machine learning and apply this knowledge to tackle complex problems in innovative ways. Collaborate with leadership to up-level the ML tech stack and improve the performance of the organization. Work across teams to understand product requirements, evaluate trade-offs, and deliver the solutions needed to build innovative products or services. Advocate for and apply best practices when it comes to availability, scalability, operational excellence, and cost management. Provide technical direction that influences the entire ML community. Mentor junior engineers and promote best practices in ML operations (MLOps). You own this if you have... 10+ years of related experience in applied Machine Learning. Strong programming skills in object-oriented languages (Scala / Python / Java/ C++ or equivalent), Data engineering skills, and a firm grasp of computer science fundamentals (data structures, algorithms, databases, etc.). Bachelor's, Master's, or PhD in CS/ML/OR or related field. Industry experience building end-to-end Machine Learning infrastructure and/or building and productionizing Machine Learning models. Exposure to architectural patterns of large, high-scale software applications (e.g., well-designed APIs, high-volume data pipelines, efficient algorithms, and models). Deep understanding of statistical and machine learning algorithms, and a finely honed intuition for fitting the best model class to a given situation. Comfortable working with and across different cloud solutions - AWS/Sagemaker and GCP/Vertex AI experience a plus. An ability to work both independently and collaboratively. A broad perspective on problem-solving. Strong communication skills and a desire to share your knowledge with team members and others. Preferred Qualifications: Experience partnering with cross-functional teams exercising sound judgment. Track record of delivery in rapidly changing, highly collaborative, multi-stakeholder environments. Experience working with a diverse group of engineers. Experience contributing to AI publications. Core Competencies: Customer Focus: Commitment to delivering a seamless customer experience through technology solutions. Decision Quality: Ability to make sound decisions based on a mix of analysis, wisdom, experience, and judgment. Strategic Mindset: Capacity to take a long-term view and anticipate future trends and implications. Manages Complexity: Effectively navigates and simplifies complex situations and challenges. Communicates Effectively: Delivers clear, concise, and impactful messages to a variety of audiences. Drives Results: Demonstrates a strong drive to achieve meaningful outcomes. #LI-EB1 We've got you covered… Our employees are our most important asset and that's reflected in our benefits. Nordstrom is proud to offer a variety of benefits to support employees and their families, including: Medical/Vision, Dental, Retirement and Paid Time Away Life Insurance and Disability Merchandise Discount and EAP Resources A few more important points... The job posting highlights the most critical responsibilities and requirements of the job. It's not all-inclusive. There may be additional duties, responsibilities and qualifications for this job. Nordstrom conducts background checks and considers qualified applicants with criminal histories in a manner consistent with all legal requirements. Applicants with disabilities who require assistance or accommodation should contact the nearest Nordstrom location, which can be identified at www.nordstrom.com. Please be mindful that there may be legal notices and requirements related to this job posting that are specific to your state. Review the Career Site FAQ's for relevant information and guidelines. 2022 Nordstrom, Inc Current Nordstrom employees: To apply, log into Workday, click the Careers button and then click Find Jobs. Nordstrom keeps job postings open for at least one day after the posting date. Pay Range Details The pay range(s) below has been provided in compliance with state specific laws. Pay ranges may be different for other locations. Pay offers are dependent on the location, as well as job-related knowledge, skills, and experience. $191,000.00 - $297,000.00 Annual This position may be eligible for performance-based incentives/bonuses. Benefits include 401k, medical/vision/dental/life/disability insurance options, PTO accruals, Holidays, and more. Eligibility requirements may apply based on location, job level, classification, and length of employment. Learn more in the Nordstrom Benefits Overview by copying and pasting the following URL into your browser: https://careers.nordstrom.com/pdfs/Ben_Overview_17-19.pdf

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

Job Title: Data Science, AI, and Machine Learning Lead Location: Cambridge, MA - Hybrid (3 days a week onsite) About the Job Sanofi's mission is to chase the miracles of science to improve people's lives. Sanofi is a company that's on the rise. We are expanding in multiple directions, across borders and, most of all, in the way we think. At Sanofi, we're building a team of brilliant individuals to drive the success of a new healthcare business to transform healthcare for all. People are the most critical ingredient to our success. Sanofi's General Medicines Digital Healthcare Team seeks a skilled and driven Data Science, AI, and Machine Learning (ML) Lead to drive and support the development and launch of innovative digital care and life management programs targeting diabetes and other chronic conditions. We are building a comprehensive digital health platform that empowers patients with chronic conditions and their informal caregivers to manage health journeys more effectively together. Our platform combines multiple modular services into a seamless ecosystem that bridges the gap between clinical care and daily life management. As a Data Science, AI, and ML Lead on Sanofi's General Medicines Digital Healthcare Team, you will play a crucial role in leading the technical design and development of the data management, advanced analytics, and AI/ML capabilities of our consumer-centric digital health platform. In this role, you will leverage advanced mathematical and statistical methodologies to extract meaningful insights from diverse data sources, develop predictive models, and create AI-driven solutions that improve health outcomes and overall quality of life for patients with chronic conditions and their caregivers. Your role will also involve the development of secure and scalable platforms to support the efficient management of increasingly large and complex volumes of clinical and non-clinical data, including the implementation of systems for efficient federated data management as well as federated learning. This role requires strong data engineering and software development expertise combined with an understanding of healthcare data standards and privacy and security requirements. You will ultimately be responsible for the development and implementation of consumer-centric and healthcare professional-focused digital tools aimed at enhancing medication adherence and achieving optimal health outcomes. This role requires strong leadership, project management, cross-functional collaboration, and technical expertise to ensure successful delivery of initiatives while optimizing program performance and alignment with business objectives. We are an innovative global healthcare company with a focus on immunology that extends to innovation in diabetes and transplant medicine. Across different countries, our talented teams are determined to deliver a best-in-class customer experience using the best of digital, artificial intelligence and personal know-how. With a focus on immunology that extends to innovation in diabetes and transplant medicines, we pursue progress to make a real impact on millions of patients around the world. Main Responsibilities: Lead the development and implementation of the data science, AI, and machine learning capabilities for our consumer-centric digital health platform, aligning with business objectives and consumer needs. Lead the technical design and development of federated data management and federated learning systems to support scalability of our digital health platform and to support patient ownership and control of healthcare data. Design and apply complex mathematical models and statistical methods to analyze datasets that include multi-modal clinical data (including patient-reported outcomes, remote patient monitoring device data, EHR data, and claims data), social determinants of health data, and consumer behavior data. Develop data engineering architectures and systems to ensure data quality, governance, and interoperability. Create predictive models to identify health and wellness risks, recommend interventions, and personalize care journeys. Develop innovative approaches to support patients, informal caregivers, and other individuals through data-driven health and wellness insights and tools. Design and implement AI-based agents and chatbots to enhance consumer engagement and to improve efficiency and productivity of care management and administrative team members. Perform feature engineering and selection to optimize model performance and extract meaningful insights from complex datasets, and develop automated feature engineering pipelines to ensure scalability and reproducibility. Rigorously evaluate and validate machine learning models using appropriate metrics and techniques, ensuring robustness, generalizability, and clinical relevance, and establish best practices for model validation, including the use of held-out datasets, cross-validation, and external validation. Collaborate with product, engineering, clinical, and behavioral science teams to develop actionable insights and intelligent features within patient- and caregiver-facing digital tools. Stay current with emerging research and technologies in data science, AI, and machine learning, and explore new methodologies and technologies to enhance our platform's capabilities. About You Education and Experience Advanced degree (MS or PhD) in Computer Science, Statistics, Applied Mathematics, Biostatistics, or related field. 8+ years of experience in developing data management systems for large volumes of data and applying complex mathematical and statistical methods to real-world problems. 2+ years of experience in developing data science, analytics, and AI/ML solutions with Databricks. Proven track record developing and deploying machine learning models in production environments. Experience in Python, R, or similar languages, and experience with ML frameworks (TensorFlow, PyTorch). Preferred: Experience with natural language processing, computer vision, or time-series analysis. Pharma Experience Experience with healthcare data and analytics, or experience developing healthcare technology and applications. Understanding of healthcare data standards and healthcare workflows Professional Skills / Competencies Excellent communication skills with the ability to translate complex technical concepts to non-technical stakeholders. Work effectively in a matrixed organization, influencing stakeholders without direct authority. Strong negotiation, collaboration, and influence management skills. Excellent communication skills to articulate clinical concepts and rationale to stakeholders. Comfortable with ambiguity and adaptable to complex and dynamic situations. Multicultural awareness to enable collaboration with diverse, global teams. Passionate about improving access to care and healthcare experiences. Join us on our journey to change healthcare for all and for good. Be a part of an innovative team committed to creating technology that makes a meaningful difference in people's daily lives, reducing the cognitive and emotional burden of managing chronic health conditions and driving positive health outcomes. Your work will directly impact patients and caregivers who are navigating complex healthcare journeys together. Why Choose Us? Bring the miracles of science to life alongside a supportive, future-focused team. Discover endless opportunities to grow your talent and drive your career, whether it's through a promotion or lateral move, at home or internationally. Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact. Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks' gender-neutral parental leave. Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law. #GD-SG #LI-GZ #LI-Onsite #vhd Pursue progress, discover extraordinary Better is out there. Better medications, better outcomes, better science. But progress doesn't happen without people - people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let's be those people. At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity. Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com! US and Puerto Rico Residents Only Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally inclusive and diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; natural or protective hairstyles; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law. North America Applicants Only The salary range for this position is: $148,125.00 - $213,958.33 All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs. Additional benefits information can be found through the LINK.

Systems Engineer with Data Science Expertise -TS/SCI with Poly Job Category: Engineering Time Type: Full time Minimum Clearance Required to Start: TS/SCI with Polygraph Employee Type: Regular Percentage of Travel Required: None Type of Travel: Local The Opportunity: CACI is seeking talented Systems Engineers with Data Science experience to support our client's national defense initiatives in the Fort Meade, Maryland area. This role combines Systems Engineering and Technical Assistance (SETA) expertise with data science skills to advance critical defense objectives. Responsibilities: Manage system requirements and architecture development using frameworks like DoDAF and SOA Develop and allocate system and functional requirements across hardware, software, and personnel components Participate in Integrated Product Teams to design new capabilities Generate system concepts, architectures, and design solutions Create verification plans and processes for systems and subsystems Contribute to system engineering documentation (e.g., System Engineering Plans, Requirements Specifications) Define and manage interfaces between system components throughout the lifecycle Derive lower-level requirements from high-level stakeholder needs Develop requirements for Information Assurance Services and Security Mechanisms Qualifications: Required: BS or MS in Computer Science, Data Science, Statistics, Mathematics, or related field Current TS/SCI with Poly 7+ years of relevant experience (12+ years if no degree) Strong background in systems engineering for complex systems of systems Expertise in data science, including NLP and machine learning Experience with data extraction from unstructured sources (e.g., PDFs, CONOPS) Proficiency in Python, R, and ML frameworks (e.g., TensorFlow, PyTorch) Familiarity with data processing tools like Apache Tika and PDFMiner Desired: Qualitative analysis and data visualization expertise Experience with DoD projects and methodologies Strong communication and collaboration skills ____ What You Can Expect: A culture of integrity. At CACI, we place character and innovation at the center of everything we do. As a valued team member, you'll be part of a high-performing group dedicated to our customer's missions and driven by a higher purpose - to ensure the safety of our nation. An environment of trust. CACI values the unique contributions that every employee brings to our company and our customers - every day. You'll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality. A focus on continuous growth. Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground - in your career and in our legacy. Your potential is limitless. So is ours. Learn more about CACI here. ____ Pay Range: There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. Learn more here. The proposed salary range for this position is: $94,400 - $198,200 CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.

About This Role The lead of digital marketing measurement and data science is responsible for driving US business performance across digital marketing. The role will measure and analyze digital data (e.g. CRM streams, paid media, and website data) to assess promotional effectiveness, support optimization efforts, and make data-driven recommendations. The individual will partner closely with US Marketing, US BIO, and creative agencies to develop statistical and machine learning models. The scope of this role is patient and healthcare professional analytics in the Neuropsychiatry therapeutic area. What You’ll Do Collaborates with marketing product managers, omnichannel (OCE) team members, field excellence and agency partners to understand key business questions and marketing objectives Conduct patient journey analyses, HCP segmentation, marketing mix optimization from a Digital measurement lens Develop and implement data-driven solutions using advanced analytics and machine learning techniques, predictive algorithms, and AI-powered tools to assist in resource allocation and to streamline processes Lead the development of statistical and machine learning models to quantify the effect and interactions that affect patients’ and their healthcare journeys with a focus on digital media and channels Develop statistical model-based Omni-channel marketing solutions based on rich and complicated healthcare data to optimize the delivery of messages and maximize the impact across different channels Develop attribution model solutions to optimize the delivery and timing of messages and maximize the impact across different channels Develop patient journey experience to understand how key symptoms led to diagnoses Provide recommendations to US brand managers on health care providers reached by the field, email, media, and website by monitoring channel KPIs This work involves personally initiating and conducting analyses, collaborating with the internal team to conduct analyses, and directing partners in performing monthly, quarterly, and ad-hoc deliverables. Partner with third-party vendors/agencies to define measurement strategy. Ensure the necessary data will be available at the right level to enable evaluation and optimization of marketing programs Qualifications Required Skills Bachelor’s degree required; Advanced technical degree preferred (e.g., math, physics, engineering, finance, or computer science) Minimum 5 years of experience working in an advanced analytics role Experience building models for media mix analysis Ability to translate technical information to non-technical business partners Experience in model development, validation, and implementation Experience working with large datasets and ability to write SQL for data extraction and manipulation Proficiency in programming languages such as Python or R for data analysis and modeling Depth of experience with CRM analytics, website analytics, digital media analytics, and digital media strategy required. Must be able to leverage digital data to inform and guide media and digital marketing strategy Efficient analytical problem-solving skills with the ability to quickly scope and deliver on an analytical ask and to work iteratively to refine a solution as needed Collaborate effectively with cross-functional partners such as Insights & Analytics, Field Excellence, Omnichannel Excellence, and Alliance Partners In addition to a strong record of analytic and quantitative work, successful candidates will also have broadly applicable consulting skills: strong oral and written communication skills with both technical and non-technical audiences; ability to synthesize information into a logically structured PowerPoint deliverable; close attention to detail, with a quality-focused mindset; aptitude for, and enjoyment of, working in teams Robust project management and cross-functional coordination skills High intellectual curiosity, that can proactively identify and lead analyses that yield actionable optimizations Driven, highly self-motivated, confident, high-energy, bright, and creative individual with the desire and ability to own a high-profile part of the business Preferred Skills: Biotech/pharma experience preferred Job Level: Management Additional Information The base compensation range for this role is: $139,000.00-$186,000.00 Base salary offered is determined through an analytical approach utilizing a combination of factors including, but not limited to, relevant skills & experience, job location, and internal equity. Regular employees are eligible to receive both short term and long-term incentives, including cash bonus and equity incentive opportunities, designed to reward recent achievements and recognize your future potential based on individual, business unit and company performance. In addition to compensation, Biogen offers a full and highly competitive range of benefits designed to support our employees’ and their families physical, financial, emotional, and social well-being ; including, but not limited to: Medical, Dental, Vision, & Life insurances Fitness & Wellness programs including a fitness reimbursement Short- and Long-Term Disability insurance A minimum of 15 days of paid vacation and an additional end-of-year shutdown time off (Dec 26-Dec 31) Up to 12 company paid holidays + 3 paid days off for Personal Significance 80 hours of sick time per calendar year Paid Maternity and Parental Leave benefit 401(k) program participation with company matched contributions Employee stock purchase plan Tuition reimbursement of up to $10,000 per calendar year Employee Resource Groups participation Why Biogen? We are a global team with a commitment to excellence, and a pioneering spirit. As a mid-sized biotechnology company, we provide the stability and resources of a well-established business while fostering an environment where individual contributions make a significant impact. Our team encompasses some of the most talented and passionate achievers who have unparalleled opportunities for learning, growth, and expanding their skills. Above all, we work together to deliver life-changing medicines, with every role playing a vital part in our mission. Caring Deeply. Achieving Excellence. Changing Lives. At Biogen, we are committed to building on our culture of inclusion and belonging that reflects the communities where we operate and the patients we serve. We know that diverse backgrounds, cultures, and perspectives make us a stronger and more innovative company, and we are focused on building teams where every employee feels empowered and inspired. Read on to learn more about our DE&I efforts. All qualified applicants will receive consideration for employment without regard to sex, gender identity or expression, sexual orientation, marital status, race, color, national origin, ancestry, ethnicity, religion, age, veteran status, disability, genetic information or any other basis protected by federal, state or local law. Biogen is an E-Verify Employer in the United States.

DS position in X32 as a support for a Natural Language Processing (NLP) project to accurately and automatically tokenize language data with spoken or written origins. This position involves developing automated solutions for the annotation of language data. This includes parts of speech information, and improved existing models by scoring performance against human-generated annotations for speech and text. The requirement involves NLP, machine learning (ML), data modeling, and programmatic optimizations where needed all while interacting with a premier agency system. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.