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Overview To gain valuable insight into Navy Federal's business, technology, resources and procedures by providing support in focused areas, applying knowledge and education. Participate in a collaborative, team driven network and interact with multiple departments. Receive guidance and direction from team and management. Utilize and further develop technical and soft skills, business knowledge, analytical techniques and creative problem solving abilities. Provide professional execution of day to day tasks and special projects while working within established standards, policies and procedures. This is a year-round, Full or Part -Time, flexible internship based on school schedule. A requirement of this position is you must be currently enrolled in college level courses or a degree-seeking program throughout the duration of the internship. Please upload your transcripts by adding them to the "Intern Proof of Enrollment" section of the application. Responsibilities Provide support to assigned department; may work on small projects or portions of larger projects Support business strategy and initiatives within the business unit and/or across the organization Assist and collaborate with various levels of staff to accomplish tasks/assignments Perform research and analysis; may include quantitative and/or qualitative analysis Maintain professionalism in all interactions, placing member service as priority Provide comprehensive day-to-day operational support Provide support in functional areas of the credit union May provide direct member service in high volume situations Process and update data in automated systems; may generate and analyze reports Perform other duties as assigned Qualifications Must be pursuing a degree from an accredited college/university Ability to exercise initiative and good judgment to make sound decisions Ability to adapt to new technologies Ability to provide exceptional customer service Ability to work independently and in a team environment Desired - Strong academic record as evidenced by a 3.0 or higher GPA Desired - Communication with impact and be committed to self-development Effective interpersonal, verbal, and written communication skills Effective research, analytical, and problem solving skills Effective skill maintaining accuracy with attention to detail and meeting deadlines Effective word processing and spreadsheet software skills Effective organizational, planning and time management skills Must be pursing degree from an accredited college/university About Us Navy Federal provides much more than a job. We provide a meaningful career experience, including a culture that is energized, engaged and committed; and fierce appreciation for our teams, who are rewarded with highly competitive pay and generous benefits and perks. Our approach to careers is simple yet powerful: Make our mission your passion. • Best Companies for Latinos to Work for 2024 • Computerworld Best Places to Work in IT • Forbes 2025 America's Best Large Employers • Forbes 2024 America's Best Employers for New Grads • Forbes 2024 America's Best Employers for Tech Workers • Fortune Best Workplaces for Millennials 2024 • Fortune Best Workplaces for Women 2024 • Fortune 100 Best Companies to Work For 2025 • Military Times 2024 Best for Vets Employers • Newsweek Most Loved Workplaces • 2024 PEOPLE Companies That Care • Ripplematch Recruiting Choice Award • Yello and WayUp Top 100 Internship Programs From Fortune. 2025 Fortune Media IP Limited. All rights reserved. Used under license. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of, Navy Federal Credit Union. Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected Veteran. Disclaimers: Navy Federal reserves the right to fill this role at a higher/lower grade level based on business need. An assessment may be required to compete for this position. Job postings are subject to close early or extend out longer than the anticipated closing date at the hiring team's discretion based on qualified applicant volume. Navy Federal Credit Union assesses market data to establish salary ranges that enable us to remain competitive. You are paid within the salary range, based on your experience, location and market position Bank Secrecy Act: Remains cognizant of and adheres to Navy Federal policies and procedures, and regulations pertaining to the Bank Secrecy Act.

At Fannie Mae, the inspiring work we do helps make a home a possibility for millions of homeowners and renters. Every day offers compelling opportunities to impact the future of the housing industry while being part of a collaborative team thriving in an energizing environment. Here, you will grow your career and help create access toaffordable housing finance. Job Description In this compelling leadership position, you will plan and direct business unit operations and the work of a team who produce insights, new product or change recommendations, process improvement or automation, and predictive modeling to drive the success of strategy implementation. You will ensure team members are knowledgeable in data mining and data analysis methods, adept with large data processing techniques and computational programing capabilities, have practical problem-solving skills, and possess the ability to articulate solutions to non-technical consumers or partners. As the director, you will develop partnerships across the data engineering and data management teams, and external or created data sources to apply data mining techniques in preparation for analysis or use of enterprise data assets. THE IMPACT YOU WILL MAKE The Director of Data Science & Artificial Intelligence (AI)role will offer you the flexibility to make each day your own, while working alongside people who care so that you can deliver on the following responsibilities:

• Lead a team of data scientist and AI developers, inspire innovation and development of advanced AI solutions from inception to production.
• Drive advancements in AI, while shaping the future of AI in mortgage industry and supporting the company s mission.
• Ensure collaboration with product and/or business owners, data engineers, and platform teams to align team objectives and group strategy.
• Oversee the application of AI and data science techniques from disciplines, such as computer science, computational science and methods, statistics, econometrics, data optimization, and data visualization. Ensure statistical modeling capabilities meet the group's strategic needs.
• Direct and execute the deployment of AI capabilities, Generative AI solutions, recommender systems, predictive analytic capabilities to enhance the delivery of business applications and support the integration of data and statistical models or algorithms.
• Apply innovative practices in data science and AI research and testing to product development, deployment, and maintenance.
• Direct the design of modeling applications to resolve complex or unusual business problems.
• Ensure the team communicates complex ideas and solutions effectively to division leadership through data visualizations, technical documentation, and non-technical presentation materials.

THE EXPERIENCE YOU BRING TO THE TEAM Minimum Required Experiences

• 8 years of relevant experience in AI, data science, or related fields, with a proven track delivering solutions to production
• Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals.
• Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action.
• A spirit of scientific discovery, driven by a passion for innovation to deliver results, balanced with a deep understanding of risks and ethical considerations.
• Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development.
• In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services.
• Bachelor s degree in computer science, Math, Statistics, engineering, physics or related field or equivalent experience

Desired Experiences

• Master degree or PhD in computer science, Math, Statistics, engineering, physics or related field is preferred
• Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the Financial or professional services sectors.
• Profound understanding of AI and advanced analytics technologies, coupled with the ability to evaluate their feasibility.
• Ideally, 10+ years of experience in Machine Learning, delivering complex prototyping solutions to production.
• Extensive proven, hands-on experience in data science. Expert-level experience with Natural Language Processing (NLP), Natural Language Understanding (NLU) and Natural Language Generation (NLG).
• Extensive experience with advanced data analysis and statistical methods such as regression, hypothesis testing, ANOVA, time-series analysis, statistical process control, are preferred
• Practical applications of machine learning techniques such as Clustering, Logistic Regression, CART, Random Forests, SVM or Neural Networks.
• Expert-level knowledge of deep learning frameworks such as TensorFlow, PyTorch, and other open sources libraries / APIs or similar. Strong technical and problem-solving skills and evidence of continuous learning in the analytics field
• Breadth and depth of knowledge in the application of statistical and/or digital methods to solve business problems
• Proficiency with Python and basic libraries for machine learning. Ability to visualize & synthesize results. Full stack experience building GenAI solutions; Large language models, language transformers (BERT, RoBERTa) data prep & vectorization, embedding/chunking, prompting, search/summary/RAG/finetuning.
• Experience with deep learning (e.g., CNN, RNN, LSTM) methods.
• Experience building NLP and NLG tools and a wide range of LLMs (Llama, Claude, OpenAI, etc.), LoRA, LangChain, RAG, LLM Fine Tuning and PEFT are preferred.
• Demonstrated skills with Jupyter Notebook, AWS Sagemaker, or Domino Datalab or comparable environments
• Passion for solving complex data problems and generating cross-functional solutions in a fast-paced environment

Tools

• Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets.
• Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment.
• Expertise in popular machine learning algorithms and libraries such as TensorFlow, PyTorch, and Keras.
• Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data.
• Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development.
• In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services.
• Experience with database management and querying tools, including traditional SQL databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Elastic Search).
• Familiarity with Amazon Bedrock, AmazonQ, or Google Vertex or Microsoft AI services is prefered
• Familiarity with DevOps practices and tools (e.g., Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions.
• Understanding of MLOps principles to streamline the machine learning lifecycle from experimentation to production.
• Knowledge of security protocols and compliance standards relevant to data privacy and AI

Qualifications Education: Bachelor's Level Degree (Required), Master's Level Degree The future is what you make it to be. Discover compelling opportunities at For most roles, employees are expected to work onsite on a regular basis at their designated office location. In-office work cadence is determined by your manager. Proximity within a reasonable commute to your designated office location is preferred unless the job is noted as open to remote. Fannie Mae is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, religion, sex, national origin, disability, age, sexual orientation, gender identity/gender expression, marital or parental status, or any other protected factor. Fannie Mae is committed to providing reasonable accommodations to qualified individuals with disabilities who are employees or applicants for employment, unless to do so would cause undue hardship to the company. If you need assistance using our online system and/or you need a reasonable accommodation related to the hiring/application process, please complete this form . The hiring range for this role is set forth below. Final salaries will generally vary within that range based on factors that include but are not limited to, skill set, depth of experience, certifications, and other relevant qualifications. This position is eligible to participate in a Fannie Mae incentive program (subject to the terms of the program). As part of our comprehensive benefits package, Fannie Mae offers a broad range of Health, Life, Voluntary Lifestyle, and other benefits and perks that enhance an employee's physical, mental, emotional, and financial well-being. See more here . Requisition compensation: 196000 to 264000

Description Summary: The Director, Data Sciences and Business Intelligence provides leadership and assumes accountability for strategy, development, implementation, and delivery of system wide clinical analytics that drive the CHRISTUS Health quality mission of 'Zero Harm.' The successful candidate will be responsible for leading a team of data scientists and analysts in developing, implementing, and managing advanced analytics and machine learning solutions that drive business insights and decision-making across the organization. The incumbent will work closely with executives, clinical leaders, and other key stakeholders to develop data-driven solutions that deliver insights to improve patient outcomes, reduce costs, and enhance the overall quality of healthcare services. The director will manage and develop a staff of professionals that provide the hindsight's, insights and foresights needed for success. The director will establish a strong working relationship with Information Services (IS) peers to align data lake development and architecture to analytic and reporting products developed, having expertise on big data technology platforms and databases, such as Hadoop and Teradata and analytic and application tools, such as SAS, SQL, Python, Vizient, Epic, Meditech, MicroStrategy, Power BI, and NextGen. The incumbent must be a proactive and decisive person who adapts well to, and initiates changes in analytic, application tools and program reporting and data science needs. The incumbent will be forward looking to drive opportunities for effective use of Artificial Intelligence (AI) and Machine Learning (ML) analytics for improved insights in driving-data driven decision-making to identify risks while creating new opportunities for improved patient outcomes. Additionally, this role will focus on BI and Robotic Process Automation (RPA) to automate processes and improve efficiencies. Having a global view of the organization, the incumbent can drive meaningful change that has a positive impact on the lives of patients and healthcare professionals across the CHRISTUS Health system. Responsibilities: Meets expectations of the applicable OneCHRISTUS Competencies: Leader of Self, Leader of Others, or Leader of Leaders. Develops and executes the data science and Business Intelligence (BI) strategy while supporting data lake development for the organization, including development and implementation of advanced analytics solutions. Drives the use of predictive intelligence, including AI and ML to identify risks while creating new opportunities for improved patient outcomes. Manages data science projects from conception to completion, ensuring on-time delivery of high-quality results. Identifies and evaluates new technologies and tools to improve data science capabilities and drive innovation. Foster a culture of data-driven decision-making and continuous improvement across the organization. Collaborate with clinical leaders, physicians, and other stakeholders to identify areas for improvement and develop data-driven interventions that optimize clinical and operational performance. Conducts statistical inference analysis and testing to develop & evaluate data driven hypotheses and results, including analysis for leadership team to identify critical issues/questions around clinical improvements related to value-based imperatives. Communicates complex data concepts to both technical and non-technical audiences, including leadership and external stakeholders. Develops and maintain strong relationships with internal and external partners to ensure alignment on data science initiatives. Serves as internal and external stakeholder point of contact for projects with either minimal or moderate ambiguity around the customer's objective for analytic requests. Develops effective communication program for delivering insights to key stakeholders via a comprehensive, standardized format detailing the methods, analysis, and conclusions, and recommended next steps. Stays up to date with industry trends and emerging technologies in data science, analytics, and RPA. Has effective development plans for a growing team of associates, he/she manages in their responsibilities for use and improvement of data reporting and BI systems. Continuously evaluates and maintains chosen analytics within the CHRISTUS Health System Office to include: Optimization of advance technologies for BI and data-driven decision-making Serves as expert statistical and technology resource Monitors content posted on site for appropriateness Performs all duties in a manner that protects the confidentiality of patients and does not solicit or disclose any confidential information unless it is necessary in the performance of assigned job duties. Carries out other duties as assigned from time to time by the System Director Health Outcomes & Analytics. Job Requirements: Education/Skills Bachelor's degree in a quantitative field such as mathematics, statistics, computer science, or engineering required. A master's degree or Ph.D. is preferred. Experience Minimum of 10 years of experience in data science, analytics, or related field, with at least 5 years of experience in a leadership role. 10+ years of experience managing large disparate data sets, including CMS data, and using quantitative and qualitative analysis to draw meaningful and valid insights, including 7 years of programming experience using SAS/SQL/Python/R/Robotic Process Automation (RPA) technologies. Experience managing a team of data scientists, analysts, and RPA and BI developers. Expertise in statistical modeling, data mining, and predictive analytics. Excellent communication and leadership skills, with the ability to work collaboratively with cross-functional teams and executives. Experience in developing and implementing predictive models, machine learning algorithms, and other advanced analytics tools for clinical data analysis. Advanced skill level in statistical analytic software required, SAS/Python/SQL. Licenses, Registrations, or Certifications SAS/SQL/Python certification preferred. Work Schedule: 8AM - 5PM Monday-Friday Work Type: Full Time

We are seeking a Senior Technical Product Manager to join our team. This is an opportunity to define the future of Global Robotics Delivery as you build innovative solutions to challenges in robotics supply chain and manufacturing. As Senior Product Manager for AI/ML products, you will focus on technologies that will help robotics delivery optimize operations, with a focus on providing our business partners with intelligent insights. You will harness the power of machine learning to help define and build new operations experiences that make it easier for Global Robotics Delivery to successfully deploy robotics fulfillment centers. At Amazon Robotics Global Robotics Delivery, Product Managers are the owners of the features they build and closely collaborate with Data and Applied Science, Engineering, Project Management, and customers to set strategy, define, design, and directly manage all aspects of the customer experience. A successful candidate will be customer obsessed, highly analytical, have experience defining and delivering media/mobile/web products quickly and at scale, and be adept at synthesizing a variety of technologies and capabilities into high quality, simple products and applications that customers love. An ideal candidate will also have experience in operations research, supply chain, and/or manufacturing. You will be able to translate a big vision for the future into a simple set of features we can launch iteratively and experimentally, and know how to build support for your vision while taking input from other creative contributors. This role will own underlying discovery technologies for supply chain and delivery science, and have a deep understand of the commercial product landscape. Key job responsibilities - Partner with key stakeholders to define and track the product roadmap and key performance indicators (KPIs) - Translate customer insights and business strategy into clearly defined product requirements - Work closely with Data and Applied Scientists, Engineering teams, and customers in an agile environment to develop and deliver innovative solutions - Develop crisp and detailed business requirements and user stories that can be used to create product specifications, design and architecture - Manage prioritization and trade-offs to ensure delivery of a great customer experience - Manage day-to-day cross-functional relations, to ensure the product roadmap and prioritization are understood and implemented effectively - Interface and collaborate with teams across Amazon Robotics and partner organizations - Operate with a high degree of autonomy and ambiguity About the team The Robotics Operations Data Solutions (RODS) team supports the mission of the Quality, Technology, and Strategy (QTS) organization within Global Robotics Delivery (GRD) by providing the data infrastructure, advanced analytics, and scientific modeling needed for Robotics Manufacturing Technical Operations (RMTO), Robotics Supply Chain (RSC), and other customer teams in Fulfillment Technologies & Robotics (FTR) to make efficient, cost-optimized, data-driven decisions. We are a cross-functional team of Business Intelligence Engineers, Data Engineers, and Data Scientists with skills that span the complete data lifecycle. BASIC QUALIFICATIONS - Bachelor's degree - Experience owning/driving roadmap strategy and definition - Experience with feature delivery and tradeoffs of a product - Experience contributing to engineering discussions around technology decisions and strategy related to a product - Experience managing technical products or online services - Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning PREFERRED QUALIFICATIONS - Experience in using analytical tools, such as Tableau, Qlikview, QuickSight - Experience in building and driving adoption of new tools Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,100/year in our lowest geographic market up to $235,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.

American Express Company seeks Directors, Data Science to lead a team responsible for developing, implementing, and tracking AI/ML models for driving digital personalization in prospect marketing, automating data capability and model governance. Drive the next generation of innovations in marketing