Auto-apply to these data science jobs

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.

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, San Diego, California, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description: 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 Johnson and Johnson Innovative Medicine is recruiting for a Director, R&D Data Science and Digital Health (DSDH) Immunology RWE. This position can be located in one of our US locations in either Spring House, PA, Cambridge, MA, New Brunswick, NJ, Raritan, NJ, Titusville, NJ, or San Diego; or in Barcelona, Spain. Please note that this role is available across multiple countries and may be posted under different requisition numbers to comply with local requirements. While you are welcome to apply to any or all of the postings, we recommend focusing on the specific country(s) that align with your preferred location(s): USA - Requisition Number: R-036717 Spain - Requisition Number: R-037672 Position Summary: Contribute to the design and execution of a Data Science & Digital Health (DSDH) RWE (Real World Evidence) strategy in alignment to the Immunology Therapeutic Area (IMM TA) goals and objectives Partner with DSDH colleagues and the IMM TA to define and prioritize a portfolio of innovative medicines in development in alignment with the IMM TA strategy To successfully meet these objectives, this individual will work closely with individual clinical project teams as well as functional area partners in Discovery, Late Development, Epidemiology, Market Access, Medical Affairs and other relevant functions. Responsibilities: Provide strategic input into the Immunology R&D DSDH RWE priorities ranging from individual projects to large collaborations with internal functional areas and external institutions Identify viable data science and digital health opportunities and then conceive, develop and implement end to end study design and data analytical solutions. A specific example may include working with the Disease Area Stronghold (DAS) Leaders and Compound Development Teams (CDT) to develop the RWE DSDH strategy to improve early and late phase clinical study designs by supporting novel patient identification/ selection of end points (e.g., identification of at-risk patient populations through development of novel predictive algorithms) Serve as a key liaison to functional area partners and provide support for collaborations with DSDH, Epidemiology, Discovery and other internal functional areas to assure alignment on key DSDH programmatic goals aligned with the Immunology therapeutic area. Execute the DSDH RWE strategy across a matrixed cross-functional CDT and the Clinical Team. Provide strategic leadership on managing/addressing specific project/program-related issues and presenting to and negotiating with leadership teams on development plans or program-related issues. Participate in and may lead cross-functional teams for evaluation of new scientific opportunities, disease areas, product ideas, implement franchise business strategies, etc. Provide key input into diligence activities Participate or lead cross-departmental or cross-functional projects with broad Johnson and Johnson Innovative Medicine impact Author abstracts and scientific manuscripts for publication based on clinical trial data, real-world data, observational studies etc. Build credible relationships with opinion leaders and may act as company spokesperson regarding publication of research findings and presentations to relevant health authorities and consultant/advisory meetings. This is not an exhaustive, comprehensive listing of job functions. May perform other duties as assigned. Required Qualifications: PhD, PharmD, or MD (or equivalent) in statistics, bioinformatics, computational biology, epidemiology, applied mathematics, computer science, physics, engineering or related fields, is required. (Consideration may be given for candidates with a Masters degree and at least 10 years of experience.) 8+ years of progressive business experience in the pharmaceutical R&D, data science, digital health, including life sciences companies, consulting firms with established healthcare Data Science and life sciences practices, and other companies in the data science ecosystem Consistent track record of collaboration in a matrix organization, entrepreneurial skill, and ability to influence and engage strategic and technical partners Familiarity with data science and digital health Experience with healthcare datasets, such as EHR, or insurance claims Preferred Skills: A strong background in RWE/Data Science & Digital Health Knowledge of Immunology is strongly preferred Experience delivering data science projects using predictive technologies, data mining and/or text mining Experience analyzing or handling healthcare data sets, including EHR, claims and registry data Experience with data science tools and statistical programming languages, including SQL, Python, R, and others Experience with defining use cases for deep learning, foundational models, and machine learning This position currently has the option to follow a hybrid schedule of 3 days per week working on-site and 2 days per week working remotely (no fully remote option available) and can be located in one of our US locations in either Spring House, PA, Cambridge, MA, New Brunswick, NJ, Raritan, NJ, Titusville, NJ, or San Diego; or in Barcelona, Spain. Approximately 15% travel domestic and international may be required. 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 & 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 contact us via https://www.jnj.com/contact-us/careers or internal employees contact AskGS to be directed to your accommodation resource. The anticipated base pay range for this position is $160,000 to $276,000. The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation's performance over a calendar/performance year. Bonuses are awarded at the Company's discretion on an individual basis. 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)). 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 Holiday pay, including Floating Holidays - up to 13 days per calendar year of Work, Personal and Family Time - up to 40 hours per calendar year Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits The compensation and benefits information set forth in this posting applies to candidates hired in the United States. Candidates hired outside the United States will be eligible for compensation and benefits in accordance with their local market. #LI-SL #JNJDataScience #JNJIMRND-DS #JRDDS #LI-Hybrid

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

Job Description WhoWe Are: Horizon Commerce, the commerce affiliate of Horizon Media, is a technology driven organization that helps advertisers gain a better understanding of the changing eCommerce landscape and ignite innovation around ways to plan, manage, and optimize eCommerce media, providing data-driven insights that inform brands' entire eCommerce strategy to drive desired business outcomes. Our end-to-end optimization platform, NEON, uses an ensemble of advanced models to provide macro (budget rebalancing across channel-tactic level) and micro (in-tactic detailed maximization using proprietary methods) optimizations to holistically improve performance. This fulltime opportunity is for a talented data scientist to work on client-related services in the area of creative experience analytics, eventually transitioning these capabilities into the NEON product. Job Summary: Prior experience working at a marketing agency and/or a consulting firm on a marketing data science, advanced analytics development, and/or user behavior or engagement team is required. Role will require editing and creation of smart models for client deliverables and within the NEON platform. In this role, the candidate will work with other Commerce Experience (CX) and NEON team members across client success, engineering, product, and data engineering. Role will require hands-on programming skills. The projects this position will work on include (but are not limited to) a range of creative artificial intelligence (AI) use cases such as: creative trend projection, multivariate creative and A/B testing, creative copy optimization, conversion rate optimization, creative asset management/versioning, image/video classification and object detection, custom audience segmentation, predictive scoring using categorical or labelled datasets, and targeting strategies. This level of the position and the rate for this position will be commensurate with experience. What You'll Do / Responsibilities Create and elevate current analytics methodology, build a replicable statistical framework, within the constructs of a composable analytics framework and the NEON platform Model outputs and inputs, working with the Data Engineering team to assure data processes are automated and efficient Work alongside product leads, business leads, data scientists, data engineers, front-end developers, and designers Incorporate multiple 3rd party APIs & other datasets from different sources, into one (or more) custom-developed measurement and display systems. Demonstrated ability to extract business insights from large datasets and use them to drive business change Mine, aggregate and analyze data from databases to drive optimization and improvement Familiarity of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, computer vision techniques, etc.) and their real-world advantages/drawbacks. Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications. Help build and validate requirements and use cases between the core NEON team and the CX team. Evaluate external AI solutions for their modeling and predictive strength, that may be pertinent to the CX use cases to complement NEON featureset in addition to ones being built in the ensemble of models. Who You Are: At least 7 years experience in Machine Learning client analytics role Experience in working with client services teams and communicating technical findings directly with client technical team members. Domain expertise in the area of creative analytics and creative and/or conversion rate optimization strategies Deep expertise in Python (and libraries), R, SQL Ability to operate in Snowflake, AWS infrastructure of S3/EC2, etc Proven experience to interact in a collaborative fashion with Product Management from analytic conceptualization, through hands on exploratory data analysis (EDA), piloting and production rollout within performant backend APIs Independently motivated to conceptualize and execute proactive client analysis Existing skill sets in machine learning, computer vision and product development Communication skills and an ability to collaborate with clients Hold an undergraduate degree in math, statistics, computer science or other technical degree Superb problem synthesis and communication skills Keen attention to detail and data integrity The statements herein are intended to describe the general nature and level of work being performed by employees and are not to be construed as an exhaustive list of responsibilities, duties and skills required of personnel so classified. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of the employer. #LI-HYBRID #LI-KG1 #HMNM Horizon Media is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Salary Range $170,000.00 - $200,000.00 A successful applicant's actual base salary may vary based on factors such as individual's skill sets, experience, training, education, licensure/certifications, and qualifications for the role. As an organization, we take an aptitude and competency-based hiring approach. We provide a competitive total rewards package including a discretionary bonus and a variety of benefits including health insurance coverage, life and disability insurance, retirement savings plans, company paid holidays and unlimited paid time off (PTO), mental health and wellness resources, pet insurance, childcare resources, identity theft insurance, fertility assistance programs, and fitness reimbursement.

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.

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.

Zoox is looking to hire an Executive Assistant to support our VP Program Management Office and Director of Data Science. This role will work closely with other Executive Assistants and Administrative Business Partners across all the departments at Zoox. This is an ideal position for someone who works well in a fast-paced environment, is a self-starter, and wants to work on a dynamic and mission-driven team. This role will require strong and complex calendaring and prioritization skills, uncompromising attention to detail, the ability to meet tight deadlines, excellent organizational skills, and the ability to juggle multiple critical requests simultaneously. A high level of integrity and discretion in handling confidential information, and professionalism in dealing with senior leaders within the company are also critical aspects of this role. Most importantly, you must have a genuine passion for the Zoox mission. In this role, you will: Hands-on meeting scheduling, coordination, setting agendas, securing reports, and note taking Prioritizing VP and Senior Manager's time effectively Supporting VP and Senior Manager with cross-functional relationship building Assisting with team off-sites and events Helping with new hire onboarding Complete administrative tasks including booking domestic and international travel, expense reporting, calendar management, and meeting arrangements Qualificiations: 8+ years of executive assistant experience Strong organizational skills and appreciation for the challenges of supporting a growing team of diverse personalities and programs Comfortable working in a dynamic environment Sensitivity to handling critical and confidential information Excellent written and verbal communication skills Technical computer skills including proficiency with Google for Business Suite, MS Office Suite, Keynote, and other Apple products Bonus Qualificiations: Ability to learn quickly, ask questions, and be solution-oriented Previous exposure to company boards, public officials, and other senior-level stakeholdersBachelor's degree $136,000 - $184,000 a year Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance. About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We're looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

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.