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Itron is innovating new ways for utilities and cities to manage energy and water. We create a more resourceful world to protect essential resources for today and tomorrow. Join us. The AI Data Science Intern within the HR AI Enablement & Strategy team will play a hands-on, learning-focused role supporting the development and deployment of AI-driven solutions across HR functions. This internship is designed to provide exposure to agentic AI systems, data science workflows, and HR analytics, while contributing directly to experimentation and prototyping efforts. The intern will assist the Data Science Analyst and collaborate with the Business Intelligence Strategist to translate HR data into actionable insights, support AI agent training and evaluation, and help operationalize new AI features. Duration 20+ hours per week during the academic year with potential for full-time continuation in the summer. Duties & Responsibilities: Assist in building, testing, and deploying AI-agent driven HR solutions under supervision. Support data preparation, cleaning, and exploratory analysis for HR datasets. Contribute to the training and evaluation of AI agents, including annotation and feedback cycles. Participate in prototyping and experimentation with new AI models and features. Collaborate on the creation of visualizations and dashboards for HR stakeholders. Document learnings, challenges, and results to support continuous improvement. Engage in team meetings, brainstorming sessions, and cross-functional projects. Required Skills & Experience: Bachelor’s degree in Data Science, Computer Science, or related discipline. Foundational skills in Python or R, and basic understanding of AI/ML concepts. Experience or coursework in data science, statistics, or analytics. Curiosity, adaptability, and a growth mindset. Interest in HR technology and a desire to learn about agentic AI systems. Strong communication and collaboration skills. Preferred Skills & Experience: Master’s degree in Data Science, Computer Science, or related discipline. Microsoft AI certification or equivalent certification. Knowledge and experience with Power BI. Travel :0-10% Physical Demands: This is a typical office job, with no special physical requirements or unusual work environment. This position will be tied to our Austin, TX location with hybrid work flexibility of 1-3 days on-site per week. #LI-MD1 Itron is committed to building an inclusive and diverse workforce and providing an authentic workplace experience for all employees. If you are excited about this role but your past experiences don't perfectly align with every requirement, we encourage you to apply anyway. In the end, you may be just who we are looking for!The successful candidate's starting wage will be determined based on permissible, non-discriminatory factors such as skills and experience.Itron is proud to be an Equal Opportunity Employer. If you require an accommodation to apply, please contact a recruiting representative at 1-800-635-5461 or email Accessibility@itron.com . Itron is transforming how the world manages energy, water and city services. Our trusted intelligent infrastructure solutions help utilities and cities improve efficiency, build resilience and deliver safe, reliable and affordable service. With edge intelligence, we connect people, data insights and devices so communities can better manage the essential resources they rely on to live. Join us as we create a more resourceful world: www.itron.com

About Us: Notion helps you build beautiful tools for your life’s work. In today's world of endless apps and tabs, Notion provides one place for teams to get everything done, seamlessly connecting docs, notes, projects, calendar, and email—with AI built in to find answers and automate work. Millions of users, from individuals to large organizations like Toyota, Figma, and OpenAI, love Notion for its flexibility and choose it because it helps them save time and money. In-person collaboration is essential to Notion's culture. We require all team members to work from our offices on Mondays and Thursdays, our designated Anchor Days. Certain teams or positions may require additional in-office workdays. This internship will take place from January – April or May – September (based on your summer schedule) and you will need to be able to work out of our SF or NYC office during this time. About The Role: Millions of people use Notion — and this number is increasing every day. That means a million people trust us to deliver a fast, reliable, and secure experience, and we value this more than anything. We want to keep earning trust, while also continuing to amaze our users with the tools they can build in Notion. This is where you come in. You will be one of our first data science interns and will help us forge a performant and reliable path forward to Notion's future. During your 12-week internship, you will be paired with a mentor that will help guide you as you work closely with our team to build and ship impactful projects. These projects will drive valuable impact to our customers. What You'll Achieve: Conduct data analyses to gain insights about Notion and use these insights to uncover opportunities for improvements in our product and business. Communicate these insights with actionable recommendations to cross-functional teams (insights are useful, impact is even better!). Work with cross-functional partners across the product and business to learn about their functions and use data to advance their respective areas. Create metrics and build dashboards to monitor the growth and health of Notion. Communicate insights and recommendations effectively to leadership and have an impact on strategic decision-making. Qualifications: Pursuing a bachelor's or master's in a quantitative field such as Economics, Statistics, Applied Math, Engineering, Computer Science, or Natural Sciences. Targeting a full time start date prior to Summer 2027. This internship will take place from January – April (for winter) or May – September (based on your summer schedule) and you will need to be able to work out of our SF or NYC office during this time. Previous data science internship experience. Proficient in SQL for data extraction, transformation, and analysis. Working towards proficiency in one or more scripting languages such as Python or R. You find large challenges exciting and enjoy discovering problems as much as solving them. You are able to problem-solve and adapt to changing priorities in a fast-paced, dynamic environment. Skills You'll Need to Bring: Thoughtful problem-solving: For you, problem-solving starts with a clear and accurate understanding of the context. You can decompose tricky problems and work towards a clean solution, by yourself or with teammates. You're comfortable asking for help when you get stuck. Put users first: You think critically about the implications of what you're building, and how it shapes real people's lives. You understand that reach comes with responsibility for our impact—good and bad. Willingness to learn : If you haven't worked in the SaaS productivity tool space before or have never analyzed an A/B test, you are open to acquiring the necessary domain knowledge and skills to contribute. Balance work quality and speed : You can deliver high-quality, accurate analyses while recognizing that the goal is to influence business decisions rather than achieve perfect measurement. Empathetic communication: You communicate nuanced ideas clearly, whether you're explaining technical decisions in writing or brainstorming in real time. In disagreements, you engage thoughtfully with other perspectives and compromise when needed. Team player: For you, work isn't a solo endeavor. You enjoy collaborating cross-functionally to accomplish shared goals, and you care about learning, growing, and helping others to do the same. Nice to Haves: You have previous intern experience working with product, engineering, or GTM teams. You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others—and understand why we're big fans of their work. You have interests outside of technology, such as in art, history, or social sciences. Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Notion. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated hourly range for this role is $55/hr for Bachelors and $59/hr for Master’s. #LI-HYBRID

Sony Pictures Entertainment (SPE) is home to some of the world’s most beloved films and television series. From Cobra Kai to The Night Agent , our content reaches millions worldwide. Behind the scenes, our Insights, Strategy & Analytics (ISA) team empowers storytellers and business leaders with data-driven insights to shape the future of entertainment. We’re looking for a Data Scientist with expertise in Gen AI and advanced machine learning to join our team. You’ll work on high-impact projects that combine advanced analytics, machine learning, and experimentation to drive smarter decisions across SPE’s production and content distribution businesses. This role will be specifically focused on applying LLMs, agentic AI frameworks, and next-gen modeling techniques to unlock new ways of analyzing content and data science operational workflows. What You’ll Do: Develop and deploy AI/ML models , including generative AI approaches, to solve media and entertainment business challenges. Apply LLMs, prompt engineering, and fine-tuning to tasks such as text analysis, summarization, metadata enrichment, and content tagging Research, prototype, and test agentic AI frameworks that automate workflows and accelerate data-driven decision making. Build and deploy predictive models and advanced analytics that guide business and creative strategies. Explore and analyze large, complex datasets to uncover audience insights and optimize content adoption. Manage cleansing and feature extraction of large unstructured data and develop insights on top of it Partner with engineers to productionalize machine learning models and monitor performance. Create clear, compelling visualizations and communicate insights to both technical and non-technical audiences. Collaborate with cross-functional partners (marketing, distribution, strategy, finance) to translate data insights into real-world business actions. Research and test emerging machine learning techniques (e.g., natural language processing, deep learning) to keep SPE at the cutting edge. Champion data-driven decision making within the organization by presenting findings to senior leaders. Stay at the forefront of GenAI research and tools , and champion adoption across the ISA team. What We’re Looking For: Bachelor’s degree in a quantitative field (Statistics, Computer Science, Engineering, Math, etc.); advanced degree a plus. 6+ years of applied experience in data science, analytics, or machine learning. Strong proficiency in Python and SQL . Hands-on experience with generative AI (LLMs, prompt engineering, fine-tuning) and familiarity with open-source frameworks (Hugging Face, LangChain, etc.). Experience with statistical modeling and building predictive models. Experience with MLOps practices — model lifecycle management, containerization, workflow orchestration (Airflow, Kubeflow). Excellent communication skills — ability to turn complex data into actionable recommendations. In depth knowledge of machine learning techniques, variable reduction, feature importance, and model interpretability Highly analytical, results oriented, have superior organizational skills with strong attention to details and deadlines in a fast-moving environment Nice to have: Experience in the media & entertainment industry. Familiarity with data visualization tools (Tableau, Power BI, Dash, or Shiny). Experience applying GenAI for audience research, recommendation systems, or content insights. Why Join Us Shape the future of entertainment — your work will directly influence how audiences around the world discover and enjoy Sony content. Collaborate with a diverse team of scientists, engineers, and strategists solving exciting, real-world challenges. Be part of a culture that values curiosity, innovation, and continuous learning , with access to professional development and cutting-edge tools. Enjoy the benefits of working at a global studio while contributing to projects that matter. The anticipated base salary for this position is $112K to $146K. This role may also qualify for annual incentive and/or comprehensive benefits. The actual base salary offered will depend on a variety of factors, including without limitation, the qualifications of the individual applicant for the position, years of relevant experience, level of education attained, certifications or other professional licenses held, and if applicable, the location of the position. Sony Pictures Entertainment is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, national origin, disability, veteran status, age, sexual orientation, gender identity, or other protected characteristics. SPE will consider qualified applicants with arrest or conviction records in accordance with applicable law. To request an accommodation for purposes of participating in the hiring process, you may contact us at SPE_Accommodation_Assistance@spe.sony.com.

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: People Leader All Job Posting Locations: Cambridge, Massachusetts, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description: Johnson & Johnson Innovative Medicine is recruiting for an Associate Director, AI Ambassador Programme Lead. The position location is flexible to Titusville, NJ, Cambridge, MA, Spring House, PA, or Barcelona or Madrid, Spain. This position will require up to 25% travel. For applicants interested in Spain, please use Requisition : R-036322 Johnson & Johnson Innovative Medicine develops treatments that improve the health of people worldwide. Research and development areas encompass oncology, cardiovascular and metabolic disorders, immunology, pulmonary hypertension, retinal disorders, and neuroscience. Our goal is to help people live longer, healthier lives. We have produced and marketed many first-in-class prescription medications and are poised to serve the broad needs of the healthcare market – from patients to practitioners and from clinics to hospitals. To learn more about Janssen, one of the Pharmaceutical Companies of Johnson & Johnson, visit https://www.janssen.com/johnson-johnson-innovative-medicine . About the Role: We are seeking a passionate and strategic leader to design, implement, and manage the AI Literacy & Adoption train-the-trainer program. This role will identify, support, and empower internal ambassadors across the organization to promote AI literacy, responsible tool use, and accelerate adoption through a distributed champion network. Key Responsibilities: Design and run the AI Literacy & Adoption train-the-trainer program, selecting and preparing internal ambassadors. Develop training materials, resources, and ongoing support for ambassadors. Coach and support ambassadors to promote responsible AI tool use and best practices across functions. Build and sustain a network of champions to expand AI literacy and adoption. Monitor program success, gather feedback, and continuously refine the ambassador network. Qualifications: A minimum education level or a Master’s degree or MBA is preferred Proven experience designing and managing train-the-trainer or ambassador programs. Experience in training and change management preferred. Digital literacy and experience with knowledge-sharing platforms and tools. Ability to motivate and empower internal champions across diverse teams. Strong presentation skills, particularly to senior-level stakeholders is required. Demonstrated ability to work collaboratively and engage with cross-functional teams is required. Passion for fostering organizational learning and confidence in AI. Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center (ra-employeehealthsup@its.jnj.com) or contact AskGS to be directed to your accommodation resource. The anticipated base pay range for this position is $137,000 to $235,750 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

We are PMG Named Ad Age Best Places to Work for 10 years in a row and Fast Company Best Workplaces for Innovators since 2022, PMG is a global independent marketing services and technology company that seeks to inspire people and brands that anything is possible. Driven by shared success, PMG leverages business strategy and transformation, creative, media, and insights—as well as its proprietary operating system, Alli—to deliver cutting-edge digital solutions and innovative media strategies. Our team comprises over 900 employees globally, and our work for ambitious brands like Apple, Nike, Sephora, Experian, Therabody, Best Western Hotels & Resorts, Creed Fragrances, BNY, Intuit, CKE Restaurants, Travelex, and Whole Foods spans 85+ countries. Who You’ll Be Working With At PMG, our Data Science team is at the core of transforming complex data into strategic insights that drive smarter marketing, media, and business decisions. We don’t just analyze numbers—we build predictive models, develop automation, and refine AI-driven solutions that help brands optimize performance, personalize experiences, and maximize impact across digital channels. You’ll collaborate with engineers, analysts, media strategists, and product teams, applying advanced data science techniques to enhance targeting, improve measurement, and develop next-generation marketing intelligence. Whether it’s training machine learning models, engineering scalable data pipelines, fine-tuning optimization algorithms, or advancing AI-driven marketing strategies, your expertise will help brands connect with the right audiences, at the right time, with the right message—more efficiently than ever before. Beyond execution, you’ll play a key role in exploring emerging AI technologies, refining data science methodologies, and shaping the future of predictive analytics and automation. You’ll have opportunities to test new approaches to measurement, integrate deep learning into decision-making processes, and experiment with AI-powered media solutions that redefine what’s possible in digital marketing. At PMG, we don’t just respond to industry trends—we set them, ensuring our clients stay ahead in a rapidly evolving, data-driven world. As Head of Data Science, you'll have the opportunity to tackle complex challenges, lead AI-driven innovation, and turn analytics into meaningful business and marketing outcomes. What You Will Do Develops and champions the long-term (3-5 year) strategic vision and execution roadmap for a broad data science organization, ensuring alignment with PMG’s overarching business strategy and market leadership goals. Leads and mentors a team of Data Science Directors and/or Senior Managers, fostering a culture of high performance, strategic thinking, innovation, and impactful leadership across multiple teams. Accountable for the P&L or substantial budget of a large data science practice, driving revenue growth, cost efficiencies, and measurable ROI from AI/ML initiatives. Directs the incubation, scaling, and enterprise-wide adoption of cutting-edge AI/ML capabilities (e.g., federated learning, large-scale reinforcement learning, advanced knowledge graphs) that create significant competitive differentiation. Serves as a primary advisor to C-suite executives on AI/ML strategy, investment, and risk, translating complex technological possibilities into clear business implications and strategic opportunities. Builds and cultivates C-level relationships with key clients and strategic partners, acting as an executive sponsor for critical data science engagements and driving new business at a strategic level. Establishes and governs enterprise-level policies for AI ethics, data governance, model risk management, and regulatory compliance, ensuring responsible and secure AI deployment at scale. Represents PMG's AI/ML thought leadership and capabilities at premier industry events, in influential publications, and with key industry analysts, shaping market perceptions and attracting top talent. Drives organizational design, talent strategy, and succession planning for a significant segment of the data science function, ensuring a robust pipeline of future leaders and technical experts. Oversees the most critical and complex AI/ML programs, ensuring they deliver transformative business outcomes and set new standards for excellence in execution. Stay current with emerging data science–focused Python libraries and apply them effectively to develop models and business-impactful solutions. What you will Bring: 20+ years of experience in data science, including 10+ years of leadership experience, with a bachelor’s degree or equivalent work experience. Proven ability to lead and scale data science programs across complex organizations, translating strategic objectives into high-impact analytical initiatives. Deep expertise in machine learning, causal inference, and statistical modeling using Python, R, and advanced analytics frameworks. Strong fluency in experimentation design, forecasting, and measurement strategies to guide product and business decision-making. Skilled in collaborating with engineering and data platform teams to build scalable data infrastructure and production-ready modeling pipelines. Track record of influencing executive stakeholders through clear communication, analytical storytelling, and evidence-based insights. Experienced in building inclusive, high-performing teams, and mentoring data science leaders to foster innovation, growth, and consistency. A commitment to curiosity and adaptability as a Continual Learner, staying at the forefront of media innovation while prioritizing client success with a Customer-Focused mindset that seeks opportunities to deliver meaningful value. A dedication to People-Focused leadership, fostering collaboration, innovation, and professional growth by Leading by Example and nurturing strong relationships that empower others to excel. What We Offer Professional Development : Take advantage of our learning and development programs, mentorship opportunities, and career advancement support. Generous Time Off : Enjoy generous paid time off and holiday allowances to recharge and spend time with loved ones. Parental Leave : We provide paid parental leave to support your family during important life events. Retirement & Pension Plans : Plan for your future with competitive retirement or pension programs, including contribution matching. Fertility and Family Support : Access fertility benefits for all team members and their spouses. Healthcare : Coverage and support for everyday medical expenses and routine care, tailored by geography. Pet Insurance : Protect your pet's health and your finances. Lifestyle Spending Accounts : Enjoy 100% company-funded accounts to promote healthy habits and well-being. Commuter Benefits : Access support for travel and commuting needs, where available. Annual Bonus : All employees are eligible for an annual bonus. Volunteering Opportunities : Receive 8 give-back hours to volunteer in your local communities. AI Enterprise License : Access AI Enterprise accounts and participate in weekly AI training sessions to empower and ensure AI safety. Benefits vary by country, location, and geography to reflect local laws, norms, and expectations. What Sets Us Apart Being part of PMG means joining a company culture that’s unmatched in digital. We're dedicated to working hard to serve our employees and clients, delivering value, results, and innovation—which often requires true grit and agility. We believe in taking care of ourselves and each other to continuously improve in every way. In alignment with our core values to be inclusive and always change for the better, PMG is committed to creating a more diverse and inclusive culture, and we are proud to be an equal opportunity employer. We believe that we only change for the better by bringing diverse perspectives to our company. PMG recruits, employs, trains, compensates, and promotes regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Play an integral role in the development of an ML ops framework for cyber incident detection. This is a project with high visibility that seeks to revolutionize cyber hunting. The role is multifaceted and will enable the contractor to strengthen and broaden skills in the areas of data engineering, ML, and cyber threat hunting and pen testing.

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.

About the Role: CloudZero is pioneering the Cloud Cost Intelligence category, building the world's first Cloud Economics Operating System. We're transforming how cloud-driven companies connect engineering decisions to business outcomes in real-time. This is a strategic scale-up role. You'll take our AI research and experimentation to the next level, transforming early prototypes into production systems that define the market. We've built a strong foundation with experiments in time series anomaly detection, GenAI applications, and cost attribution - now we need a hands-on leader to evolve these early innovations into customer-facing products. You'll tackle genuinely hard problems that will define the future of FinOps: Real-time Unit Economics: Calculate per-unit costs across millions of transactions with dynamic efficiency management. Predictive Cost Intelligence: Predict and prevent cost efficiency breaches before they impact business. Multi-Cloud Attribution: Accurately attribute cloud spend across complex systems using probabilistic modeling. Autonomous Optimization: Build AI agents that make safe infrastructure changes within business constraints. Responsibilities: Technical Leadership & Hands-On Development Lead by example: spend 60-70% of your time building, architecting, and solving technical problems. Prototype novel ML/AI research ideas, and help translate them into production-ready systems that handle enterprise scale. Build AI-powered features (in partnership with product/engineering teams) for cost optimization, anomaly detection, and predictive analytics. Establish technical standards and development processes for AI/ML systems. People Leadership & Cross-Functional Collaboration Hire and develop a small team of AI/ML specialists Provide hands-on coaching and technical guidance to team members Foster a culture of innovation, continuous learning, and customer focus Lead by example in technical decision-making and problem-solving approach Partner closely with engineering teams to embed AI throughout the platform Translate complex AI concepts into business value for executives and customers Drive AI strategy alignment with company vision and product roadmap Represent CloudZero's AI capabilities in customer conversations and industry events Qualifications: 8+ years in Data Science or ML Engineering at high-growth SaaS companies, building and deploying impactful production systems. Holds a degree in Computer Science, Statistics, or a related technical field. Hands-on technical leader with experience mentoring, coaching, and hiring data and ML talent. Fluent across the modern data science stack — data pipelines, modeling, deployment, and monitoring. Proven experience with time series modeling, forecasting, and anomaly detection systems. Skilled in Python and comfortable with cloud ML tools like SageMaker, Bedrock, and related infrastructure. Experience integrating GenAI/LLM systems into production use cases, with a realistic understanding of their strengths and challenges. Excellent communicator — able to explain technical concepts clearly to non-technical and executive stakeholders. Pragmatic and impact-driven — prioritizes simplicity, customer value, and speed over complexity. Stays current with research but thrives in environments where innovation translates quickly into customer outcomes. Please note : CloudZero is unable to sponsor employment visas. Candidates must have permanent authorization to work in the United States without the need for current or future sponsorship.

With a career at The Home Depot, you can be yourself and also be part of something bigger. Position Purpose: The Data Science Sr. Manager is responsible for leading a team of data scientists (individual contributors, technical experts, and/or people managers), ensuring that their efforts drive business profitability, increased efficiencies and improved customer experience. This role harmonizes between the continuous drive towards data science research and learning and the needs of the business. As a Data Science Sr. Manager, you will provide executive summaries to all levels of the organization and leverage your business knowledge and network to identify opportunities to leverage data science solutions. This role is expected to lead the collaboration between Data Science Managers across the organization to align strategies and effectively manage talent. These responsibilities require effective communication skills, building relationships and partnerships, and leveraging business proficiency to solutions and recommendations. As a Data Science Sr. Manager, you will provide executive summaries to all levels of the organization and leverage your business knowledge and network to identify opportunities to leverage data science solutions . This role is expected to lead collaboration between Data Science Managers across the organization for aligning strategies and effectively managing talent. These responsibilities require effective communication skills, building relationships and partnerships, and leveraging business proficiency to solutions and recommendations. Key Responsibilities: 50% People Management & Team Leadership- Provide leadership, mentorship and coaching to direct reports and evaluate performance, execution, and contribution; Support Data Science Director in establishing a clear vision for the team and influencing reach with business partners; Attract, retain and develop top talent to build an effective and high performing teams; Support team in development of business knowledge and technical skills with clear plans and regular assessment of progress; Develop onboarding and training plan for both technical and soft skills that will ensure high level of capabilities within the team; Foster collaboration and alignment between different data science roles to develop a supportive and engaged team; Ensure best practices and world-class techniques are leveraged in the solutioning for business problems and future team reach; Drive team's results and celebrate accomplishments 15% Program Management- Prioritize and assign projects by striking a balance between a variety of factors, like funding, return on investment, innovative or challenging work, among others; Manage programs for the team to ensure consistency of execution, balance of resources and quality solutions; Collaborate with program managers and business partners to align on objectives and expectations and ensure project teams deliver against them; Serve as escalation point for any issues or difficulties with specific projects; Provide executive updates to leaders at all levels of the organization on program effectiveness, team accomplishments, summary of findings and recommended solution, and explain internal and external impacts; Be a champion and advocate for the team's capabilities, expertise, and needs 25% Strategy & Business Development- Leverage extensive business knowledge and relationships to seek out new business opportunities to leverage data science and advocate for team's skills; Effectively develop trust and collaboration with internal customers and cross-functional teams; Ensure alignment with IT support model, collaboration, tools and governance to enable data scientists to be most effective in executing their roles; Collaborate with other data science managers across the organization to lead the efforts of developing high level strategy and optimizing talent management 10% Technical Exploration & Development- Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Ensure best practices and vision for data analysis and model productionalization are leveraged Direct Manager/Direct Reports: This position reports to Director or above This position has Direct Reports and manages programs Travel Requirements: Typically requires overnight travel 5% to 20% of the time. Physical Requirements: Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles. Working Conditions: Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable. Minimum Qualifications: Must be eighteen years of age or older. Must be legally permitted to work in the United States. Demonstrated proficiency in predictive modeling, data mining and data analysis Proficient managing and growing team members in a professional setting Proficiency in guiding more junior team members through Data Science fundamentals in a professional setting Demonstrated experience with translating high level strategy to tactical execution Preferred Qualifications: 11+ years of experience in business intelligence and analytics Previous people or project team management experience Demonstrated expertise in predictive modeling, data mining and data analysis Mastery running queries against data (preferably with Google BigQuery or SQL) Proficient with data visualization software (preferably Tableau) Mastery utilizing statistical techniques to identify key insights that help solve business problems Proficient in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP Minimum Education: The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job. Preferred Education: No additional education Minimum Years of Work Experience: 10 Preferred Years of Work Experience: No additional years of experience Minimum Leadership Experience: None Preferred Leadership Experience: None Certifications: None Competencies: Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals Builds Networks: Effectively building formal and informal relationship networks inside and outside the organization Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences Develops Talent: Developing people to meet both their career goals and the organization's goals Directs Work: Provides direction, delegating and removing obstacles to get work done Drives Engagement: Creating an environment where people are motivated to do their best to help the organization achieve its objectives Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action Instills Trust: Gaining the confidence and trust of others through honesty, integrity, and authenticity Interpersonal Savvy: Relating openly and comfortably with diverse groups of people Organizational Savvy: Maneuvering comfortably through complex policy, process, and people-related organizational dynamics Persuades: Using compelling arguments to gain the support and commitment of others Strategic Mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies

Description Position Summary: The successful candidate will need to be familiar with statistical analysis, data modeling and programming. This individual will independently develop algorithms in SAS and/or Python to clean, process, analyze and visualize large multivariate datasets. Should be able to work closely with data science team and business partners to break down complex business problems to build feasible solutions that are impactful, accurate and validated. This position will run from January to August 2026 and is expected to work an average of 40 hours per week. Job responsibilities: Design and prototype models using statistical modeling, machine learning, process modeling, and other techniques. Work with mentor and other researchers and scientists to quickly gain domain knowledge and understand business processes. Present data driven insight, recommendations, and solutions to a broad range of audiences including peers, leadership and internal customers in a clear interpretable manner. Expand professional networks with the business and the Data and Data Science Community Job Qualifications: Currently pursuing Ph.D. or M.S. degree (or final year Bachelors) in a discipline related to Data Science (e.g., Statistics, Mathematics, Computer Science/Engineering); Theoretical knowledge and practical experience with advanced statistical modeling techniques; Fluency in using SQL, Python or SAS for data manipulation, computational statistics, and model development; Strong communication skills and the ability to work with diverse cross-functional environment; Ability to turn complex biological data into meaningful insights; Good organizational skills with keen attention to details Please be aware that recruitment related scams are on the rise. Fraudulent job postings are being placed on other websites, and individuals posing as bioMérieux Talent Acquisition team members are reaching out via email or text message in an attempt to collect your personal and confidential information. In some cases, these scammers are also conducting bogus interviews prior to extending fraudulent offers of employment. Beware of individuals reaching out using general phone numbers and non-bioMerieux email domains (i.e. Hotmail.com, Gmail.com, Yahoo.com, etc.). If you are concerned that an interview experience or offer of employment might be a scam, please make sure you are searching for the posting on our careers site https://careers.biomerieux.com/ or contact us at [email protected]. BioMérieux Inc. and its affiliates are Equal Opportunity/Affirmative Action Employers. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information. Please be advised that the receipt of satisfactory responses to reference requests and the provision of satisfactory proof of an applicant’s identity and legal authorization to work in the United States are required of all new hires. Any misrepresentation, falsification, or material omission may result in the failure to receive an offer, the retraction of an offer, or if already hired, dismissal. If you are a qualified individual with a disability, you may request a reasonable accommodation in BioMérieux’s or its affiliates’ application process by contacting us via telephone at (385) 770-1132, by email at [email protected], or by dialing 711 for access to Telecommunications Relay Services (TRS).

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

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

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 Data Science & Analytics team at Realtor.com provides trusted data and insights to optimize every aspect of consumer/customer experience and to drive the company's commercial performance. Avail (part of Realtor.com) is a fast-growing platform transforming how independent landlords and tenants manage the rental experience. Built with the spirit of a startup and backed by the scale and stability of a leading digital real estate company, Avail provides a complete suite of tools, resources, and education to help landlords manage their properties with confidence and professionalism. As part of the Avail team, you'll have the opportunity to make a meaningful impact - shaping the future of this rapidly expanding brand and helping to reimagine the rental industry for millions across the U.S.. We are looking for a hands-on, experienced manager to lead a team of 3-4 data scientists and business analysts, acting as a trusted partner to the Avail leadership team and working closely with them to address critical business questions. As the dedicated data science leader for Avail, this role supports all of Avail's business functions including product, marketing, payment operations, compliance, and customer support; and plays a critical part in driving key strategies and decisions on how to improve customer acquisition, retention, sales, 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 close partnership with the Head of Avail and all of the functional leaders. 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 business goals and priorities. 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., Mixpanel and 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 Data Science & Analytics organization to ensure broad adoption of data science and analytics initiatives to drive value for the business. 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. 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. People are our foundation-the core that drives us passionately forward. 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.

What you'll need to succeed as Senior Scientist, Data Science at XPO Minimum qualifications: Bachelor's degree or equivalent related work or military experience 2 years of experience in data science, operations research, or data analysis with a focus on AI-driven analytics, statistical modeling, machine learning, forecasting, or optimization Experience in at least one programming language such as Python, R, SQL, SAS, Spark, Java, etc., with practical applications in AI or ML projects Familiarity with AI techniques and machine learning algorithms, including supervised and unsupervised learning Strong communication skills with a knack for translating complex AI concepts into clear business insights Preferred qualifications: Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, Economics, or any related quantitative discipline A Master's or PhD in Computer Science, AI, Data Science, or a related quantitative field years of hands-on experience in developing and deploying optimization solutions 5+ years' experience in pricing optimization, demand forecasting, utilizing statistical modeling, machine learning, and reinforcement learning techniques. Experience with causal inference and measurement methods for analyzing the impact of pricing algorithms on revenue Experience with reinforcement learning for pricing optimization, decision-making, and consumer behavior modeling Proven track record of delivering AI-enabled insights that improved operations, financial performance, or customer experience Strong foundation in statistics including hypothesis testing, anomaly detection, and statistical inference, as applied in AI model validation Hands-on experience building and deploying AI models, including supervised, unsupervised, and deep learning methods About the Senior Scientist, Data Science job Pay, benefits and more: Competitive compensation package Full health insurance benefits available on day one Life and disability insurance Earn up to 15 days of PTO over your first year 9 paid company holidays 401(k) option with company match Education assistance Opportunity to participate in a company incentive plan What you'll do on a typical day: Leverage Machine Learning, AI, statistical and/or optimization methods to solve various problems in Pricing, Sales, and Finance in order to optimize revenue for the company Work with a team of data scientists and engineers to design, test and implement models into in-house software solutions You will be a thought leader for the practice of Data Science and Analytics across the organization Explore and research cutting-edge Artificial Intelligence techniques and statistical methods, to identify opportunities to drive process improvements through analytics and automation Conduct and present ad-hoc analyses to senior leaders within the business and technology organizations Communicate with technical and business-oriented audiences Serve as a subject matter expert in applying AI techniques to logistics and transportation challenges Leverage advanced data science methods, including machine learning, deep learning, and optimization, to enhance business performance Perform analytics ranging from predictive to prescriptive and cognitive, aligning with AI maturity levels based on project needs Combine technical skills in AI and data science with strong business acumen to deliver real-world impact at XPO About XPO XPO is a top ten global provider of transportation services, with a highly integrated network of people, technology and physical assets. At XPO, we look for employees who like a challenge and can communicate effectively in all situations. We want to leverage your skills and years of experience to drive positive results while ensuring a bright future for yourself and XPO. If you're looking for a growth opportunity, join us at XPO. We are proud to be an Equal Opportunity employer. Qualified applicants will receive consideration for employment without regard to race, sex, disability, veteran or other protected status. All applicants who receive a conditional offer of employment may be required to take and pass a pre-employment drug test. The above statements are not an exhaustive list of all required responsibilities, duties and skills for this job classification. Review XPO's candidate privacy statement here. Nearest Major Market: Ann Arbor Nearest Secondary Market: Detroit Job Segment: Testing, Computer Science, Database, Scientific, Data Analyst, Technology, Engineering, Data Apply now "

Are you interested in being part of an innovative team that supports Westinghouse's mission to provide clean energy solutions? At Westinghouse, we recognize that our employees are our most valuable asset, and we seek to identify, attract and recruit the most qualified talent while recognizing and encouraging the value of diversity in the global workplace.

MediaAlpha is a customer acquisition solutions provider powered by technology and data science. The company provides industry-leading solutions designed to reach consumers shopping within high-consideration categories such as property and casualty insurance, health insurance, life insurance, and more. Hybrid: Tuesday & Wednesday in-office We're looking for a Data Science Manager to lead a high-impact team solving the most critical and complex problems across our marketplace. You'll partner closely with product, engineering, and executive leadership to set vision and strategy for data science initiatives, ensuring that our models and insights directly drive business growth and efficiency. This is a hands-on leadership role - ideal for someone who thrives on solving tough problems while building and mentoring a high-performing team. Responsibilities Lead, manage, and grow a team of Data Scientists, providing coaching, career development, and performance feedback. Architect and productionize advanced ML/AI solutions across our marketplace with your team. Improve how we approach real-time auction pricing and LTV-driven bid optimization through scalable, data-driven solutions. Master the MediaAlpha platform and collaborate with engineering to enhance our platform's analytical capabilities and build new data products. Own the end-to-end lifecycle of key initiatives, from ideation to deployment and iteration. Requirements 10+ years of experience in Data Science, Analytics, or a related field, with at least 3 years managing or leading data science teams Bachelor's degree required, preferably in a quantitative discipline (e.g., economics, business, finance, math, engineering, statistics) or equivalent experience Proven experience leading cross-functional projects and working cross collaboratively with tech/engineering teams Demonstrated success deploying impactful code (e.g., predictive models, date pipelines, algorithms) to production environments with quantifiable business impact Expertise in applying statistical techniques to real-world business problems (e.g. designing tests/experiments and evaluating results) Proven track record of training and mentoring data scientists Advanced in Python and SQL Exceptional analytical skills and ability to synthesize large and disparate data sets Capacity to think critically and creatively, uncover problems, and propose solutions Excellent written and verbal communication skills Self-starter who takes initiative on all projects and strives to build and improve upon existing processes Preferred Qualifications Experience with search, display, performance, and/or digital marketing Experience with real-time bidding Experience with R Shiny and Shiny Server Experience with Airflow Compensation & Benefits We are excited to offer a competitive base pay range of $133,000 to $247,000 per year for this position, based on experience and qualifications. But that's not all - as a valued member of our team, you will also have access to an array of top-notch benefits, including: Annual bonus program and participation in our Restricted Stock Unit program 100% Employer-paid health, dental, and vision insurance for you, your dependents, and spouse or registered domestic partner 100% Employer paid long term disability, and life insurance 401(k) retirement plan with matching contributions to help you plan for your future Open Paid Time Off policy with a birthday day off and 11 holidays Professional development reimbursement Cell Phone, Wellness, and Internet expense reimbursement, along with a subscription to the Calm App 100% fully paid parental leave for team members up to 22 weeks for the primary caregiver and 12 weeks for the secondary caregiver Dog-friendly offices (LA and AZ) along with a $300 pet adoption reimbursement Diversity, Equity, and Inclusion MediaAlpha is committed to fostering, cultivating, and maintaining a culture of diversity, equity, and inclusion. Our philosophy and actions are built on the premise that as an employer and citizens of our communities, we can create opportunities for lasting change. Fair Chance MediaAlpha will consider qualified applicants, including those with criminal histories, in a manner consistent with state and local "Fair Chance" laws. We are also committed to providing reasonable accommodations for qualified applicants with disabilities and disabled veterans in our application process. If you need assistance or an accommodation due to a disability, please contact us at peopleops@mediaalpha.com or (213) 316-6256.

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.

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century's most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril's family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. ABOUT THE TEAM The Tactical Recon and Strike (TRS) division at Anduril develops aerial small drones (Group 1-3) and all equipment to test, deploy and operate. The team is responsible for taking products like Ghost, Anvil, Bolt and Altius from paper sketches to operational systems. We work in close coordination with specialist teams to solve some of the hardest problems facing our customers. ABOUT THE JOB As a Data Scientist at Anduril, you will dive into unique, complex challenges that come with the territory of high-stakes, advanced technology in the defense sector. Your expertise will drive innovation in autonomous systems, shaping the future of defense and intelligence with solutions that are deployed at unparalleled speed. If you're eager to leverage your data science skills in an environment that encourages bold ideas and offers the resources to turn them into reality, Anduril provides the perfect platform to propel your career and make a tangible difference in a world entering a new era of strategic competition. Join us and be part of the transformation that's setting new standards for military capabilities and security. This position will be located at our headquarters in Costa Mesa, CA (relocation benefits provided). WHAT YOU'LL DO Conduct in-depth data analysis using Python, MATLAB, and relevant tools to address complex problems, define key performance indicators for autonomous vehicle systems, and effectively communicate analytical insights to stakeholders. Collaborate cross-functionally with engineering, product management, and fellow data scientists to apply advanced statistical techniques, informing strategic decisions and guiding the development of roadmaps for enhancing vehicle performance based on data-driven insights. Develop, optimize, and oversee autonomous vehicle data infrastructure, including the creation and management of software tools, data catalogs, and robust data pipelines that facilitate efficient data extraction, transformation, and delivery of high-quality data products for internal use and stakeholder presentation. Spearhead technical investigations to diagnose operational issues and analyze performance trends, providing leadership in the interpretation of data and formulation of solutions to improve system reliability and efficiency. Design and implement analytics-driven customer-facing products that showcase system performance metrics, provide trend analysis, and enhance user understanding and experience with our autonomous vehicle platforms. REQUIRED QUALIFICATIONS A background in Mathematics, Statistics, Computer Science, Data Science, or a related technical field with a strong quantitative foundation. Demonstrated expertise in Python with a robust portfolio of projects showcasing the development, validation, and deployment of predictive models and data products. Proficiency with machine learning frameworks such as PyTorch, TensorFlow, and Scikit-Learn is essential. Familiarity with Unix/Linux environments, including proficiency with the command line interface and the ability to efficiently manage and navigate distributed computing systems. Exceptional data visualization skills, with proficiency in using visualization tools (e.g., Plotly, Matplotlib, Seaborn) and business intelligence platforms (e.g., Tableau, Power BI) to translate complex data insights into accessible visual formats for diverse audiences. A proven track record of effectively working with large and complex datasets, as well as the capacity to quickly understand and work within established codebases and complex system architectures. A strong commitment to applying data science to solve real-world problems, with the ability to translate technical findings into actionable recommendations that have a tangible impact. Excellent communication and collaboration skills, with the ability to engage effectively with multidisciplinary teams, including engineers, product managers, and non-technical stakeholders. Must be able to obtain and maintain a DoD Security Clearance. Must be open to 24/7 on-call work with customers. Must be open to 20% travel. PREFERRED QUALIFICATIONS Experience with cloud computing platforms (e.g., AWS, GCP, Azure) and familiarity with containerization (e.g., Docker, Kubernetes) is highly beneficial. Knowledge of best practices in data governance, ethics, and privacy, as well as experience with data security and compliance requirements relevant to sensitive and classified information. Leadership experience, with the ability to mentor junior data scientists and lead project teams in the execution of complex data science initiatives. Experience working with terabyte-scale data, robotics data formats (e.g. MCAP, HDF5), and dataframes (e.g. Pandas, PySpark). US Salary Range $220,000-$292,000 USD The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Healthcare Benefits US Roles: Comprehensive medical, dental, and vision plans at little to no cost to you. UK & AUS Roles: We cover full cost of medical insurance premiums for you and your dependents. IE Roles: We offer an annual contribution toward your private health insurance for you and your dependents. Additional Benefits Income Protection: Anduril covers life and disability insurance for all employees. Generous time off: Highly competitive PTO plans with a holiday hiatus in December. Caregiver & Wellness Leave is available to care for family members, bond with a new baby, or address your own medical needs. Family Planning & Parenting Support: Coverage for fertility treatments (e.g., IVF, preservation), adoption, and gestational carriers, along with resources to support you and your partner from planning to parenting. Mental Health Resources: Access free mental health resources 24/7, including therapy and life coaching. Additional work-life services, such as legal and financial support, are also available. Professional Development: Annual reimbursement for professional development Commuter Benefits: Company-funded commuter benefits based on your region. Relocation Assistance: Available depending on role eligibility. Retirement Savings Plan US Roles: Traditional 401(k), Roth, and after-tax (mega backdoor Roth) options. UK & IE Roles: Pension plan with employer match. AUS Roles: Superannuation plan. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/ .

General Summary GTI Energy is building new initiatives to support significant business growth objectives and build business value well into the next decade through commercialization of technologies and integrated solutions needed in the transition to low-carbon, low-cost energy systems. GTI Energy is seeking a Data Science Intern to join our Digital Innovation team to enhance our capabilities in statistics and data science by strengthening and supporting enterprise-wide strategic initiatives. In this role, the Intern will support in the execution of on-going projects and initiatives, including scientific research around development of low-emissions energy systems through data-driven modeling and statistical analysis. Why GTI Energy? GTI Energy embraces the power of innovation and collaboration to solve consequential energy challenges. By demonstrating continuous improvements in technology and solutions that lower the emissions and costs of energy, we will shape energy systems that decarbonize economies, protect our environment, and benefit the people they serve. We do this by putting people at the center of everything we do. We support and uplift people, ensuring they have the resources and confidence needed to live as their authentic selves and reach their full potential. We offer generous benefits, competitive salaries, opportunities for professional growth and career advancement. We prioritize and maintain an inclusive, diverse, and respectful culture, and we ensure reasonable accommodation is made to enable individuals with disabilities to perform the essential functions of their role. Being part of the GTI Energy team means being surrounded by people that are passionate and purpose driven, empowered to continuously learn, ask hard questions, and leverage their knowledge and experience to drive toward a greater purpose. Work Location The position will be based in the Chicagoland area at the GTI Energy Headquarters. We offer a hybrid/core work week, where employees are remote Mondays and Fridays, and required to be on-site Tuesday through Thursday. While local candidates are preferred, GTI Energy does provide seasonal housing assistance for the right candidate. This position may require some field travel to GTI Energy's offsite Fort Collins, CO office location as needed. Primary Responsibilities Perform exploratory data analyses and apply statistical modeling and machine learning approaches to answer research questions and develop tools to support data-driven decision making Scrape and wrangle data from open-source repositories Create data visualizations and dashboards to communicate insights and findings to stakeholders Develop presentations and written reports to communicate findings Develop unique approaches to investigating key research questions, including leading programs related to methane emissions mitigation, digitalization in energy, and net zero energy systems Support ongoing research efforts using a disciplined approach and standard best practices Participate in 1-on-1 and team meetings and contribute to team projects Participate in GTI Energy Digital Innovation team building and networking events Perform other duties as assigned Education and Experience Currently enrolled in or completed within the last year a Bachelor or Master's degree program in computer science, data science, statistics, mathematics or related field GIS experience is a plus Experience demonstrating ability to communicate technical statistical/analytical concepts a plus Experience using data visualization techniques and programming libraries (e.g., scatterplots, boxplots, ggplot2, pandas, matplotlib) Knowledge, Skills, Abilities, and Other Characteristics Ability to wrangle and process data using programming libraries (e.g., tidyverse, pandas) Policy and Regulation knowledge related to energy is a plus Familiarity with/interest in environmental justice Familiarity with and ability to implement basic statistical analyses and concepts, such as t-tests, linear regression, hypothesis testing, and confidence intervals, and machine learning techniques, such as classification, clustering, and predictive modeling Familiarity with advanced statistical methods such as Bayesian analysis, time-series or spatial analyses, or survey statistics a plus General knowledge of the energy industry, particularly related to the natural gas supply chain (including emissions management), hydrogen, energy efficiency, or engineering methods Excellent problem-solving skills and ability to work independently Strong written and oral communication Ability to work collaboratively on teams with both technical and non-technical members Strong organizational and time management skills with excellent attention to detail An ability to translate technical information into a format that is understandable and valuable to non-technical audiences Strong programming skills, preferably in R, Python, or similar software Willingness to learn new analytical techniques and data science methods Pay Transparency The pay range for this position is $17 - $28 USD per hour. This pay range is GTI Energy's good faith estimate, and the actual pay may vary based on a number of factors including, but not limited to, GTI Energy's business or organizational needs and an individual's relevant experience, education, qualifications, certifications, skills, seniority, geographic location, and/or performance. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus. The range listed is just one component of GTI Energy's total compensation package for employees. Other rewards may include annual bonuses, paid time off, and region-specific benefits. EEO Statement GTI Energy is committed to developing a barrier-free recruitment process and work environment. If you require any accommodation, please e-mail us at HumanResources@gti.energy and we'll work with you to meet your accessibility needs. You must have legal authorization to work for GTI Energy on your date of hire with no further action required by GTI Energy. We are an Equal Employment Opportunity employer and give consideration to qualified applicants without regard to race, color, age, religion, sexual orientation, gender identity, national origin, disability, veteran status, pregnancy, or genetic information.