Senior data scientist jobs in Pueblo, CO - 24 jobs

At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. We are Boeing Global Services (BGS) Engineering team creating and implementing innovative technologies that make the impossible possible and enabling the future of aerospace. We provide engineering design and support, including aftermarket modifications, and are innovating to make product and services safety even stronger. Join us and put your passion, determination, and skill to work building the future! #TheFutureIsBuiltHere #ChangeTheWorld Join an exciting and growing team in performing complex analysis of aviation data. As modern aircraft produce increasing amounts of data in operations and maintenance, analytics are used to turn that data into insights to improve performance, enable smarter services, increase productivity, and make flying safer. The Boeing Company is currently seeking an Experienced/Lead Engineering Data Scientist to join the Boeing Global Services (BGS) Government Services Analytics team located in Hazelwood, MO, Colorado Springs, CO, or Oklahoma City, OK. In this position you will work with an industry-leading team of data scientists, support US and international customers, and collaborate with engineering teams to create innovative health management solutions for government aircraft platforms. As an experienced/lead data scientist, you will play a crucial role in creating new analytics models that provide aftermarket services for our military customers. Your primary responsibility will be leading the design and development of machine learning models using a wide array of methods to empower aircraft users with valuable insights. This role requires a resourceful, self-driven, outcome-oriented individual with the ability to collaborate respectfully and communicate effectively. The ideal candidate will have advanced knowledge and work history in machine learning, natural language processing (NLP), and retrieval augmented generation (RAG), proven experience in leading data science projects, and a successful track record of deploying machine learning models in a production environment. This position is onsite. The selected candidate will be required to perform work onsite at one of the listed location options. Position Responsibilities: * Lead the design and development of advanced machine learning models and algorithms to solve complex problems as aftermarket services for military customers. * Collaborate with cross-functional teams to identify and define data requirements, data collection methods, and data quality standards. * Conduct data analysis and exploration to identify patterns, trends, and insights that drive decision-making and improve aircraft health management. * Apply advanced statistical techniques and predictive modeling to develop predictive maintenance strategies and optimize aircraft performance. * Utilize natural language processing, data cleansing, and preprocessing techniques to ensure data quality and integrity for accurate analysis and modeling. * Evaluate and apply modern RAG techniques to generate domain-specific insights from complex customer data, enhancing decision-making and user experience. * Implement and deploy machine learning models into production systems, working closely with software engineering teams to integrate into customer environments. * Collaborate with subject matter experts to understand engineering domain knowledge and incorporate it into data analysis and modeling efforts. * Continuously evaluate and improve existing models and algorithms to enhance their accuracy, efficiency, and scalability. * Ensure data security, privacy, and compliance with relevant regulations and policies throughout the data analysis lifecycle. * Stay up-to-date with the latest advancements in data science, machine learning, and aerospace technologies to drive innovation and maintain a competitive edge. * Communicate findings, insights, and recommendations to technical and non-technical stakeholders through clear and concise reports, presentations, and visualizations. * Mentor and provide guidance to junior data scientists and contribute to the development of best practices and standards for data science within the organization. This position requires the ability to obtain a SECRETUS Security Clearance Post-Start for which the US Government requires US Citizenship. To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Our teams are currently searching for a broad range of levels including Experienced and Lead. Basic Qualifications (Required Skills/Experience): * Bachelor's degree from an accredited course of study in Mathematics, Data Science, Computer Science, Engineering, Physics or similar discipline * 5+ years of professional experience in data science, artificial intelligence, or machine learning * 5+ years of experience in Python for data science applications * Experience leading technical teams or projects Preferred Qualifications (Desired Skills/Experience): * Advanced degree (Master's or Doctorate) in Data Science, Engineering, Computer Science, Mathematics, or another similar technical background * 10+ years of professional experience in data science, artificial intelligence, or machine learning * 3+ years of experience in natural language processing * 3+ years of experience in SQL * Proficient with data visualization tools, such as Tableau. * Proficient in deep learning frameworks such as PyTorch and TensorFlow * Experience with generative AI models, including LLMs and RAG, for building knowledge-driven solutions. * Engineering domain knowledge relating to aircraft maintenance, design, or testing * Experience integrating models into customer environments, both on-prem and in cloud environments * Experience working in an agile software development team Relocation: This position offers relocation assistance. Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. All information provided will be checked and may be verified. Shift: This position is for 1st shift. At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range: Experienced: $106,250 - $154,100 Lead: $124,100 - $180,550 Export Control Requirements: U.S. Government Export Control Status: This position must meet export control compliance requirements. To meet export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. §120.15 is required. "U.S. Person" includes U.S. Citizen, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law. Applications for this position will be accepted until Jan. 19, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. §120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law. Read more Shows the full job description for sighted users Apply Now Save JobRemove Job

Job Description What You'll be Owning: We are seeking a Data Scientist to support our NLP project focused on accurate and automatic tokenization of language data from spoken or written sources. In this role, you will develop automated solutions for annotating language data with parts of speech information and enhance existing models by evaluating their performance against human-generated annotations for both speech and text. Your contributions will be crucial in advancing our NLP capabilities and ensuring high-quality language processing. What You Must Have: Employ some combination (2 or more) of the following skill areas: Foundations: (Mathematical, Computational, Statistical) Data Processing: (Data management and curation, data description and visualization, workflow and reproducibility) Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations) Devise strategies for extracting meaning and value from large datasets. Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge. Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in Government data holdings. Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data. Effectively communicate complex technical information to non-technical audiences. Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly shifting Government collection, processing, storage and analytic capabilities and limitations. Bachelor's degree with 10 years of relevant experience Associate's degree with 12 years of relevant experience Bachelor's degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g. algorithms, programming, data structures, data mining, artificial intelligence). College-level requirement, or upper-level math courses designated as elementary or basic do not count. Note: A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university. Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g. Python)), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering. Experience in more than one area is strongly preferred. Active TS/SCI w/ poly Pay Range: At GRVTY, we understand that compensation is influenced by many factors-such as geographic location, federal contract labor categories, wage rates, prior experience, skillsets, education, and certifications. We're proud to offer a work environment that empowers our team to achieve a strong work-life balance. GRVTY provides competitive pay, comprehensive benefits, and meaningful opportunities for professional growth. Our benefits package is designed to support the well-being of our employees and their families, and includes coverage in areas such as healthcare, financial wellness, retirement planning, family assistance, continued education, and paid time off. Pay Range$155,000-$185,000 USD Why Choose GRVTY The toughest national security challenges demand vision and ingenuity, not just resources. We deliver mission and technical expertise to outpace our adversaries. We're purpose-built to tackle the most entrenched, systemic national security issues around the world. We partner with our customers to help them overcome challenges in every corner of technology and defense-including the ones still being explored. Our growing capabilities create complementary advantages, giving on-the-ground operations the edge they need to succeed. We muster everything we have to answer every challenge presented, every day of our lives. At GRVTY, we believe that when our employees thrive, our company thrives. That's why we offer a comprehensive and competitive benefits package designed to support your well-being, growth, and work-life balance. • Robust health plan including medical, dental, and vision • Health Savings Account with company contribution • Annual Paid Time Off and Paid Holidays • Paid Parental Leave • 401k with generous company match • Training and Development Opportunities • Award Programs • Variety of Company Sponsored Events EEO Statement GRVTY, is an Equal Opportunity Employer. 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 and will not be discriminated against on the basis of disability. Anyone requiring reasonable accommodations should email ******************** or call ************ with requested details. A member of the HR team will respond to your request within 2 business days. Know Your Rights: Workplace Discrimination is Illegal (eeoc.gov) Please review our current job openings and apply for the positions you believe may be a fit. If you are not an immediate fit, we will also keep your resume in our database for future opportunities.

Ignite is an ISO 9001:2015 and CMMI Services Level 3 certified, Service-Disabled Veteran-Owned Small Business (SDVOSB), headquartered in Huntsville, AL. By design, Ignite is a provider of professional services to customers in educational, federal, and commercial industries and in every action seeks to be the preeminent provider within this business space. Ignite upholds our values of competency, collaboration, innovation, reliability, and results through everything we do. Ignite is currently seeking a driven, detail-oriented Data Scientist to join our team supporting the Space Force Concepts and Technology Delta and Space Warfighter Analysis Center in Colorado Springs, Co. This position can be filled in either Colorado Springs, CO or Huntsville, AL. In this role you will develop and utilize data analysis tools to create complex data sets for evaluating the future of warfare in space. Requirements Responsibilities include, but are not limited to: • Development of models and simulation runs for logistics analysis. • Development of software tools for data ingestion, storage, processing and analysis. · Development of advanced Machine Learning (ML) and Artificial Intelligence (AI) architectures and use cases in support of customer needs. · Development of presentation materials and demonstrations for internal and external stakeholders. · Development of Open-Source Intelligence tools · Development of advanced visualizations for data and network analyses Job Requirements and Qualifications: · One to five years of experience in data science or related field. · Strong Python knowledge and familiarity · Experience using FastAPI and ETL pipelines · Experience with ReactJS /JavaScript · Git/GitLab experience with version control · Data visualization using Matplotlib/Seaborn · OSINT Tooling (Playwright/BeautifulSoup) · Familiarity with MongoDB or other NoSQL schema · Microsoft Office skills · Basic professionalism Security Clearance Requirements: Must have an active Secret Security Clearance or the ability to obtain one. Top Secret Clearance is a plus. Education Requirements: • Bachelor's of Science or Masters of Science in Data Science, Data Engineering, Statistics, Software Engineer, Artificial Intelligence or a related field. Other Requirements: Must be a US citizen and be able to obtain and hold an active Security Clearance Salary Range: $90k - $140k

**Why USAA?** At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. **The Opportunity** We offer a flexible work environment that requires an individual to be **in the office 4 days per week.** This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, Chesapeake, VA or Tampa, FL. Relocation assistance is **not** available for this position. The **Senior Graph Data Scientist - Identity Analytics** is responsible for development and implementation of quantitative solutions that improve USAA's ability to detect and prevent identity theft, account takeover, and first party/synthetic fraud. These solutions will range from the development of machine learning models to broad implementation of solutions such as graph analytics to protect USAA and our Members from risks emanating from these threats. Strong candidates will be able to deploy the following work products and processes: + Develop and continuously update internal identity theft and authentication models to mitigate fraud losses and negative member experience from fraud application, synthetic fraud and account takeover attempts + Closely partner with Strategies team, Director of Fraud Identity Analytics and Director of Fraud Model Management and Model Users on model builds and priorities + Partner with Technology and other key collaborators to deploy a Financial Crimes graph database strategy, including vendor selection, business requirements, data needs, and clear use cases spanning financial crimes + Deploy graph databases and graph techniques to identify criminal networks engaging in fraud, scams, disputes/claims and AML and deliver highly significant benefits + Generate and prioritize fraud-dense rings to mitigate losses and improve Member experience + Identify and work with technology to integrate new data sources for models and graphs to augment predictive power and improve business performance + Exports insights to decision systems to enable better fraud targeting and model development efforts + Drives continuous innovation in modeling efforts including advanced techniques like graph neural networks + Collaborate with the broader analytics community to share standard methodologies and techniques **What you'll do:** + Gathers, interprets, and manipulates structured and unstructured data to enable advanced analytical solutions for the business. + Develops scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value. + Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs. + Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. + Composes, and assists peers with composing, technical documents for knowledge persistence, risk management, and technical review audiences. + Assesses business needs to propose/recommend analytical and modeling projects to add business value. Works with business and analytics leaders to prioritize analytics and modeling problems/research efforts. + Builds and maintains a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data. + Translates sophisticated business request(s) into specific analytical questions, completes the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations. + Manages project breakthroughs, risks, and impediments. Intensifies potential issues that could limit project success or implementation. + Develops standard methodologies for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards. + Maintains expertise and awareness of innovative techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies. + Serves as a mentor to junior data scientists in modeling, analytics, and computer science tasks. + Participates in internal communities that drive the maintenance and transformation of data science technologies and culture. + Ensures risks associated with business activities are optimally identified, measured, supervised, and controlled in accordance with risk and compliance policies and procedures. **What you have:** + Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative field; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. + 6 years of experience in a predictive analytics or data analysis + 4 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models. + 4 years of experience in one or more dynamic scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models. + Proven experience writing code that is easy to follow, well documented, and commented where vital to explain logic (high code transparency). + Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, NoSQL, etc. + Strong experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc. + Demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics. + Ability to assess and articulate regulatory implications and expectations of distinct modeling efforts. + Advanced experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, and ensemble methods such as Random Forests, XGBoost, LightGBM, and CatBoost. + Advanced experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc. + Experience guiding and mentoring junior technical staff in business interactions and model building. + Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results. **What sets you apart:** + US military experience through military service or a military spouse/domestic partner + Graduate degree in a quantitative subject area + Over 4 years of experience with model development or other advanced fraud detection algorithms + Over 3 years of experience with graph databases and graph solutions + Experience in fraud/financial crimes model development **Compensation:** The salary range for this position is: **$143,320- $257,970.** **USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.).** **Compensation:** USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. **Benefits:** At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on USAAjobs.com. _Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting._ _USAA is an Equal Opportunity Employer. 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._ **If you are an existing USAA employee, please use the internal career site in OneSource to apply.** **Please do not type your first and last name in all caps.** **_Find your purpose. Join our mission._** USAA is unlike any other financial services organization. The mission of the association is to facilitate the financial security of its members, associates and their families through provision of a full range of highly competitive financial products and services; in so doing, USAA seeks to be the provider of choice for the military community. We do this by upholding the highest standards and ensuring that our corporate business activities and individual employee conduct reflect good judgment and common sense, and are consistent with our core values of service, loyalty, honesty and integrity. USAA attributes its long-standing success to its most valuable resource: our 35,000 employees. They are the heart and soul of our member-service culture. When you join us, you'll become part of a thriving community committed to going above for those who have gone beyond: the men and women of the U.S. military, their associates and their families. In order to play a role on our team, you don't have to be connected to the military yourself - you just need to share our passion for serving our more than 13 million members. USAA is an EEO/AA Employer - applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, genetic information, sexual orientation, gender identity or expression, pregnancy, protected veteran status or other status protected by law. California applicants, please review our HR CCPA - Notice at Collection (********************************************************************************************************** here. USAA is an EEO/AA Employer - applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, genetic information, sexual orientation, gender identity or expression, pregnancy, protected veteran status or other status protected by law.

Deloitte is at the leading edge of GenAI innovation, transforming Strategic Analytics and shaping the future of Finance. We invite applications from highly skilled and experienced Lead Data Scientists ready to drive the development of our next-generation GenAI solutions. The Team Strategic Analytics is a dynamic part of our Finance FP&A organization, dedicated to empowering executive leaders across the firm, as well as our partners in financial and operational functions. Our team harnesses the power of cloud computing, data science, AI, and strategic expertise-combined with deep institutional knowledge-to deliver insights that inform our most critical business decisions and fuel the firm's ongoing growth. GenAI is at the forefront of our innovation agenda and a key strategic priority for our future. We are rapidly developing groundbreaking products and solutions poised to transform both our organization and our clients. As part of our team, the selected candidate will play a pivotal role in driving the success of these high-impact initiatives. Recruiting for this role ends on January 31, 2026 Work You'll Do Client Engagement & Solution Scoping * Partner with stakeholders to analyze business requirements, pain points, and objectives relevant to GenAI use cases. * Facilitate workshops to identify, prioritize, and scope impactful GenAI applications (e.g., text generation, code synthesis, conversational agents). * Clearly articulate GenAI's value proposition, including efficiency gains, risk mitigation, and innovation. * Solution Architecture & Design * Architect holistic GenAI solutions, selecting and customizing appropriate models (GPT, Llama, Claude, Zora AI, etc.). * Design scalable integration strategies for embedding GenAI into existing client systems (ERP, CRM, KM platforms). * Define and govern reliable, ethical, and compliant data sourcing and management. Development & Customization * Lead model fine-tuning, prompt engineering, and customization for client-specific needs. * Oversee the development of GenAI-powered applications and user-friendly interfaces, ensuring robustness and exceptional user experience. * Drive thorough validation, testing, and iteration to ensure quality and accuracy. Implementation, Deployment & Change Management * Manage solution rollout, including cloud setup, configuration, and production deployment. * Guide clients through adoption: deliver training, create documentation, and provide enablement resources for users. Risk, Ethics & Compliance * Lead efforts in responsible AI, ensuring safeguards against bias, privacy breaches, and unethical outcomes. * Monitor performance, implement KPIs, and manage model retraining and auditing processes. Stakeholder Communication * Prepare executive-level reports, dashboards, and demos to summarize progress and impact. * Coordinate across internal teams, tech partners, and clients for effective project delivery. Continuous Improvement & Thought Leadership * Stay current on GenAI trends, best practices, and emerging technologies; share insights across teams. * Mentor junior colleagues, promote knowledge transfer, and contribute to reusable methodologies. Qualifications Required: * Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Mathematics, or related field. * 5+ years of hands-on experience delivering machine learning or AI solutions, preferably including generative AI. * Independent thinker who can create the vision and execute on transforming data into high end client products. * Demonstrated accomplishments in the following areas: * Deep understanding of GenAI models and approaches (LLMs, transformers, prompt engineering). * Proficiency in Python (PyTorch, TensorFlow, HuggingFace), Databricks, ML pipelines, and cloud-based deployment (Azure, AWS, GCP). * Experience integrating AI into enterprise applications, building APIs, and designing scalable workflows. * Knowledge of solution architecture, risk assessment, and mapping technology to business goals. * Familiarity with agile methodologies and iterative delivery. * Commitment to responsible AI, including data ethics, privacy, and regulatory compliance. * Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve * Limited immigration sponsorship may be available. Preferred: * Relevant Certifications: May include Google Cloud Professional ML Engineer, Microsoft Azure AI Engineer, AWS Certified Machine Learning, or specialized GenAI/LLM credentials. * Experience with data visualization tools such as Tableau The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $102,500 - $188,900. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. Information for applicants with a need for accommodation ************************************************************************************************************ EA_FA_ExpHire Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte's purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Learn more. Professional development From entry-level employees to senior leaders, we believe there's always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. As used in this posting, "Deloitte" means Deloitte Services LP, a subsidiary of Deloitte LLP. Please see ************************* for a detailed description of the legal structure of Deloitte LLP and its subsidiaries. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. Requisition code: 316523 Job ID 316523

Job Title: Data Scientist (Family & Education Outcomes) Job Summary:The Data Scientist I will conduct research and perform data analysis including developing and validating statistical models, creating dashboards, writing analysis reports, and providing recommendations for improving data analysis and models for clients. This role requires integrating data from child welfare, adult protection, juvenile justice, and family support programs. It also involves working with education data for early childhood and K-12, along with datasets from other state agencies, to support longitudinal research and cross-system analysis. The Data Scientist must be adept at combining large, disparate data sets to uncover insights, inform strategic planning, and support policy development. Responsibilities include designing and maintaining ETL processes to ensure data accuracy and integrity, managing data using a variety of statistical methods and tools, and presenting findings that support cross-sector collaboration and continuous improvement in services. The position involves coordination with other data scientists and analysts, collaboration with multiple participating entities, and ensuring alignment and consistency across data sources. The individual is also responsible for reporting progress and outcomes to executive leadership and contributing to statewide initiatives that enhance family well-being and safety. Proof of US citizenship is required for this opportunity. Duties/Responsibilities:• Demonstrate a strong understanding of early childhood systems, policies, and data, as well as K-12 education data and related policies.• Design and manage data collection, acquisition, and maintenance processes to ensure integrity and accuracy.• Formulate research questions, apply critical thinking, and select appropriate analytical methods to address data requests.• Conduct statistical and policy analysis, evaluate scenarios, and deliver actionable, data-driven recommendations.• Prepare and present clear, insightful reports, dashboards, and narratives for diverse audiences.• Assess new data sources and techniques and implement processes to monitor and improve model performance.• Collaborate with internal teams and client stakeholders to identify opportunities and implement effective, data-driven solutions.• Maintain comprehensive documentation to ensure sustainability and knowledge transfer.Data Analytics• Design and manage systems for large datasets including RDBMs, NoSQL, and streaming data environments. • Create integrated, curated data sources for comprehensive analysis.• Implement analytics dashboards and reporting tools (e.g., Tableau, PowerBI, R Shiny).• Automate QA/QC and data quality monitoring using KPIs.• Develop exploratory and confirmatory analytic reporting processes.Data Science• Design and implement automated data quality and validation workflows.• Develop and deploy descriptive, diagnostic, predictive, and prescriptive statistical models.• Promote a data-driven culture across the organization.• Develop and deploy machine learning models for classification and prediction.• Build interactive, predictive, and prescriptive reporting tools.• Perform other duties as assigned. Required Skills/Abilities: • Strong verbal and written communication skills; able to present complex information clearly.• Excellent interpersonal and customer service skills; comfortable working with diverse stakeholders.• Proven organizational and time management skills with attention to detail.• Ability to thrive in a fast-paced, occasionally high-pressure environment.• Strong analytical and problem-solving skills.• Proficiency in Microsoft Office Suite and familiarity with data visualization tools.• Knowledge of early childhood and K-12 education data systems and related datasets.• Experience with statistical and data mining techniques.• Coding proficiency in Python, R, SQL, or similar languages.• Understanding of machine learning techniques (e.g., clustering, decision trees, neural networks) and their practical applications would be beneficial.• Passion for discovering insights in large datasets and collaborating with stakeholders to improve outcomes. Education and Experience:• Research-based Master's degree or PhD in a relevant field (Applied Statistics, Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.)• 5+ years of experience working in a data analyst role using statistical methods to solve business problems• Experience with SQL and other data querying tools• Experience visualizing/presenting data for stakeholders using: Tableau, PowerBI, R Shiny, , etc. Working Conditions:The physical and work environment characteristics described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Physical Demands: • While performing the duties of this job, the employee is required to walk, use hands to finger, handle objects, tools, or controls; reach with hands and arms; balance; stoop; bending or crouching; talk or hear. Specific vision abilities required by the job include close vision, distance vision, color vision, peripheral vision, depth perception, and the ability to adjust focus. • Some lifting of files, opening cabinets. • Bending or standing as necessary.• Prolonged periods sitting at a desk and working on a computer.• Must be able to lift up to 15 pounds at times. Work Environment: Position is sedentary with prolonged periods of standing, bending, sitting, kneeling. This description is not intended to be, nor should it be construed as an all-inclusive list of responsibilities, skills or working conditions associated with the position. It is intended to accurately reflect the activities and requirements of the position, but duties may be added, deleted, or modified, as necessary. This description does not constitute a written or implied contract of employment.

Job Title: Data Scientist (Family & Education Outcomes) Job Summary:The Data Scientist I will conduct research and perform data analysis including developing and validating statistical models, creating dashboards, writing analysis reports, and providing recommendations for improving data analysis and models for clients. This role requires integrating data from child welfare, adult protection, juvenile justice, and family support programs. It also involves working with education data for early childhood and K-12, along with datasets from other state agencies, to support longitudinal research and cross-system analysis. The Data Scientist must be adept at combining large, disparate data sets to uncover insights, inform strategic planning, and support policy development. Responsibilities include designing and maintaining ETL processes to ensure data accuracy and integrity, managing data using a variety of statistical methods and tools, and presenting findings that support cross-sector collaboration and continuous improvement in services. The position involves coordination with other data scientists and analysts, collaboration with multiple participating entities, and ensuring alignment and consistency across data sources. The individual is also responsible for reporting progress and outcomes to executive leadership and contributing to statewide initiatives that enhance family well-being and safety. Proof of US citizenship is required for this opportunity. Duties/Responsibilities:• Demonstrate a strong understanding of early childhood systems, policies, and data, as well as K-12 education data and related policies.• Design and manage data collection, acquisition, and maintenance processes to ensure integrity and accuracy.• Formulate research questions, apply critical thinking, and select appropriate analytical methods to address data requests.• Conduct statistical and policy analysis, evaluate scenarios, and deliver actionable, data-driven recommendations.• Prepare and present clear, insightful reports, dashboards, and narratives for diverse audiences.• Assess new data sources and techniques and implement processes to monitor and improve model performance.• Collaborate with internal teams and client stakeholders to identify opportunities and implement effective, data-driven solutions.• Maintain comprehensive documentation to ensure sustainability and knowledge transfer.Data Analytics• Design and manage systems for large datasets including RDBMs, NoSQL, and streaming data environments. • Create integrated, curated data sources for comprehensive analysis.• Implement analytics dashboards and reporting tools (e.g., Tableau, PowerBI, R Shiny).• Automate QA/QC and data quality monitoring using KPIs.• Develop exploratory and confirmatory analytic reporting processes.Data Science• Design and implement automated data quality and validation workflows.• Develop and deploy descriptive, diagnostic, predictive, and prescriptive statistical models.• Promote a data-driven culture across the organization.• Develop and deploy machine learning models for classification and prediction.• Build interactive, predictive, and prescriptive reporting tools.• Perform other duties as assigned. Required Skills/Abilities: • Strong verbal and written communication skills; able to present complex information clearly.• Excellent interpersonal and customer service skills; comfortable working with diverse stakeholders.• Proven organizational and time management skills with attention to detail.• Ability to thrive in a fast-paced, occasionally high-pressure environment.• Strong analytical and problem-solving skills.• Proficiency in Microsoft Office Suite and familiarity with data visualization tools.• Knowledge of early childhood and K-12 education data systems and related datasets.• Experience with statistical and data mining techniques.• Coding proficiency in Python, R, SQL, or similar languages.• Understanding of machine learning techniques (e.g., clustering, decision trees, neural networks) and their practical applications would be beneficial.• Passion for discovering insights in large datasets and collaborating with stakeholders to improve outcomes. Education and Experience:• Research-based Master's degree or PhD in a relevant field (Applied Statistics, Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.)• 5+ years of experience working in a data analyst role using statistical methods to solve business problems• Experience with SQL and other data querying tools• Experience visualizing/presenting data for stakeholders using: Tableau, PowerBI, R Shiny, , etc. Working Conditions:The physical and work environment characteristics described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Physical Demands: • While performing the duties of this job, the employee is required to walk, use hands to finger, handle objects, tools, or controls; reach with hands and arms; balance; stoop; bending or crouching; talk or hear. Specific vision abilities required by the job include close vision, distance vision, color vision, peripheral vision, depth perception, and the ability to adjust focus. • Some lifting of files, opening cabinets. • Bending or standing as necessary.• Prolonged periods sitting at a desk and working on a computer.• Must be able to lift up to 15 pounds at times. Work Environment: Position is sedentary with prolonged periods of standing, bending, sitting, kneeling. This description is not intended to be, nor should it be construed as an all-inclusive list of responsibilities, skills or working conditions associated with the position. It is intended to accurately reflect the activities and requirements of the position, but duties may be added, deleted, or modified, as necessary. This description does not constitute a written or implied contract of employment.

What You'll be Owning: * We are seeking a Data Scientist to support our NLP project focused on accurate and automatic tokenization of language data from spoken or written sources. In this role, you will develop automated solutions for annotating language data with parts of speech information and enhance existing models by evaluating their performance against human-generated annotations for both speech and text. Your contributions will be crucial in advancing our NLP capabilities and ensuring high-quality language processing. What You Must Have : * Employ some combination (2 or more) of the following skill areas: * Foundations: (Mathematical, Computational, Statistical) * Data Processing: (Data management and curation, data description and visualization, workflow and reproducibility) * Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations) * Devise strategies for extracting meaning and value from large datasets. Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge. Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in Government data holdings. Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data. Effectively communicate complex technical information to non-technical audiences. Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly shifting Government collection, processing, storage and analytic capabilities and limitations. * Bachelor's degree with 10 years of relevant experience * Associate's degree with 12 years of relevant experience * Bachelor's degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g. algorithms, programming, data structures, data mining, artificial intelligence). College-level requirement, or upper-level math courses designated as elementary or basic do not count. Note: A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university. * Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g. Python)), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering. Experience in more than one area is strongly preferred. * Active TS/SCI w/ poly

Developing proposals to test hypotheses, prioritizing research projects, and establishing project goals. Performing data management tasks and activities required for operational success. Minimum of 5 years of relevant DoD/IC or relevant industry work experience. Minimum of 5 years of data science experience. Proficiency in data science techniques to conceptualize, adapt, and apply new models for solving complex problems. Knowledge of DoD or private sector business systems, big data analytics, data pipelines, machine learning, Artificial Intelligence, cognitive sciences, and operational strategies. Advanced skill in articulating and defending complex concepts, often with diverse stakeholders. Strong ability to negotiate and secure executive support for challenging program concepts. Ability to lead interdisciplinary teams consisting of industry, academic, and government experts. Expertise in extracting actionable insights using data analytics methods aligned with squadron requirements. Experience in the following application frameworks: Experience with presenting and communicating technical data to various audiences (government and leadership audience experience preferred). B. S. in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science (required). M. S. in Computer Science (desired). Place of work is the Garden of the Gods, Colorado Springs, CO. This role is hybrid (on-site/telework). May require travel up to 15% of the time within the continental United States.

Job DescriptionThe MissionAt Kestrel, we are building the future of scalable autonomy across domains. Our systems enable commercial and national security customers to sense and act in support of complex missions without significant autonomous system expertise. This technology bridges domains (e.g., space, air, land, sea) and fields (e.g., AI, orbital dynamics, geospatial), requiring a team that has both breadth and depth in these related topics. The RoleWe are looking for an individual contributor to architect and deploy production-grade subsystems that power our cutting-edge products for both commercial clients and critical national security missions. As a Kestrel Data Scientist, you will lead the development of high-fidelity data processing pipelines, traditional AI/ML models, and wrapping them into tools for next-generation Agentic AI. You will work at the bleeding edge of geospatial science. This role requires adaptability, engineering rigor, and a deep respect for the mission. Core Responsibilities:- Architecture: Lead the end-to-end creation of production-ready AI/ML and agentic subsystems.- Geospatial Engineering: Build robust preprocessing pipelines for raster and vector data (using GDAL, SNAP, rasterio, PostGIS).- Innovation: Integrate emerging technologies, from Geospatial Foundation Models (GeoFMs) to autonomous route planning, into a cohesive operational picture. You Must Be: A master of foundational geospatial: Proven experience building geospatial data preprocessing pipelines (raster and vector) using the modern geospatial stack (GDAL, SNAP, rasterio, PostGIS, etc.). A specialist: You must have production-grade experience in at least two (2) of the following domains:- Traditional GeoAI/ML: Object detection/land classification (scikit, OpenCV, etc.).- Geospatial Foundation Models: Utilizing GeoFMs like AlphaEarth, Prithvi, or Clay.- SAR & Interferometry: Pipeline development (e.g., isce2).- Hyperspectral Imaging: Processing (e.g., SPy).- RF Propagation: Modeling signal data (e.g., CloudRF).- Digital Elevation Models: Handling DEM in multiple formats (e.g., DTED).- Autonomous Systems: Route planning for unmanned systems (e.g., Auterion, ArduPilot).- Optimization: Complex scheduling for satellite constellations or aircraft.- Economics: Models for resource allocation such as auction, bidding, pricing, waiting. Must be a US Citizen Bonus:- Based in the Colorado Springs, CO or Washington, DC (working in customer sites in Crystal City, VA and Herndon, VA) areas- Active Top Secret // Specially Compartmented Information (TS//SCI) clearance with counterintelligence-scope polygraph (CSP) or full-scope polygraph (FSP) We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Prescient Edge is seeking a Senior Computer Scientist to support a federal government client. Benefits: At Prescient Edge, we believe that acting with integrity and serving our employees is the key to everyone's success. To that end, we provide employees with a best-in-class benefits package that includes: A competitive salary with performance bonus opportunities. Comprehensive healthcare benefits, including medical, vision, dental, and orthodontia coverage. A substantial retirement plan with no vesting schedule. Career development opportunities, including on-the-job training, tuition reimbursement, and networking. A positive work environment where employees are respected, supported, and engaged. Salary range: $135,000 - $185,000. Salary to be determined by the education, experience, knowledge, skills and the abilities of the applicant internal equity, and alignment with market data. Description Provides support to properly align the J2 workforce with the growing use of IC and DoD AI / ML initiatives/projects. Supports the research, acquisition, fielding, sustaining, and training of AI / ML tools/applications for the J2 workforce. Creates AI / ML models to run systematic processes on raw data and selects models that pull the most relevant information from collected data to assist in creating IC and DoD machine learning programs to look for or seek out specific conditions in space/space-related data and respond based on USSPACECOM PIRs / CCIRs. Supports USSPACECOM J2 intelligence processes critical to near-term, mid-term, and far-term efforts for the Command, components, and other DoD organizations. A positive work environment where employees are respected, supported, and engaged. Employs mathematics, statics, information science, artificial intelligence, machine learning, network science, probability modeling, data mining, data engineering, data warehousing, data compression, data protection, and / or other scientific techniques to correlate complex, technical findings into graphical, written, visual and verbal narrative products on trends of existing intelligence data to leverageother IC data sources. Develops and utilizes machine learning and data mining algorithms, including, but not limited to, Multiple Information Model Synthesis Architecture (MIMOSA) prediction algorithms based on open source capabilities. Integrates or codes algorithms to support Government intelligence search and discovery missions. Makes best-practice recommendations on managing data within hardware, software, storage, and bandwidth constraints. Employs data science techniques to support predictive analysis, social media and crowd-source data analytics, wargaming, and strategy development. Employs exploratory analysis and rapid iteration techniques of large volumes of data to quickly derive intelligence. Prepares products to describe and document findings and activities. Requirements Desired Experience: 12 years of experience related to the specific labor category with at least a portion of the experience within the last 2 years. Desired Education: Master's degree in an area related to the labor category from a college or university accredited by an agency recognized by the U.S. Department of Education; or have bachelor's degree related to the labor category from a college or university accredited by an agency recognized by the U.S. Department of Education and an additional 5 years of related senior experience, for a total of 17 years, as a substitute to the master's degree. Possesses an advanced degree in Computer Science, Mathematics, Statistics, or a related quantitative field. Security Clearance: Security clearance required TS/SCI with a CI POLY or the ability to obtain one. Location: USSPACECOM Headquarters, Schriever Air Force Base (AFB), Colorado Springs, CO.

The Aerospace Corporation is the trusted partner to the nation's space programs, solving the hardest problems and providing unmatched technical expertise. As the operator of a federally funded research and development center (FFRDC), we are broadly engaged across all aspects of space- delivering innovative solutions that span satellite, launch, ground, and cyber systems for defense, civil and commercial customers. When you join our team, you'll be part of a special collection of problem solvers, thought leaders, and innovators. Join us and take your place in space. The Data-centric Platforms and Architectures Department designs and develops data platforms and solutions that leverage cloud capabilities for a variety of civil and national security space customers. Join us to accomplish innovative work on modern data platforms and data-intensive cloud native applications for the space enterprise. We are seeking a skilled and experienced Cloud-Native and Microservices Developer to design, develop, and maintain robust, scalable, and resilient applications and data platforms for a cloud environment. The ideal candidate will be adept at building modular, independently deployable services using modern cloud technologies and development practices. You will collaborate with cross-functional teams to deliver high-quality software solutions and ensure operational excellence in a fast-paced, agile environment. * This is a full-time position based in Colorado Springs, CO, which requires 100% onsite work. What You'll Be Doing * Lead, coordinate, and collaborate with multi-functional teams to build and deploy prototypes that support the customer's mission using cloud services or on-premise infrastructure. * Designing data-intensive cloud native applications to some of the most challenging problems currently facing the space enterprise * Interfacing directly with product owners and customers to iterate on the best solution to solve their most complex problems. * Guiding customers through assessments of their existing legacy application environments, providing recommendations on a prioritization roadmap for application modernization, and identifying applications for migration to the cloud. * Working closely with National Security Space, United States Space Force, and other Department of Defense customers. * Stay up-to-date with emerging cloud technologies, industry trends, and best practices. What You Need to be Successful Minimum Requirements: Engineering Specialist - Software Architecture Engineering and Cloud Computing Architecture * Bachelor's degree in Computer Science, Electrical Engineering, Computer Engineering, Software Engineering or other related STEM concentrations. * 8+ years of professional experience in software development, cloud native development, software and data architecture development, or similar technical specializations. * Experience in designing, developing, and implementing data-intensive cloud-native applications with a microservices architecture. * Proven ability to translate business requirements into technical specification and design documents. * Build and maintain scalable and resilient microservices using programming languages such as Java, Python, or Go. * Knowledge of containerization technologies (eg Docker) and orchestration platforms (eg Kubernetes), with hands on experience collaborating with cloud platform and Dev Ops engineers to streamline deployment and monitoring practices. * Background in troubleshooting, debugging, and upgrading existing software to ensure optimal performance and uptime. * Willing to travel occasionally to work location or customer site if required. * This position requires the ability to obtain and maintain a security clearance which is issued by the US Government. US citizenship is required to obtain a security clearance. How You Can Stand Out It would be impressive if you have one or more of these: * Advanced degree in Computer Science or other applicable STEM concentration. * Knowledge of semantic data management or graph databases (ex. Neo4J, AWS Neptune). * Experience with creating and maintaining organizational data management policies. * Develop robust and efficient RESTful APIs for inter-service communication. * Active Secret or TS/SCI clearance. * An in-depth understanding in at least one of the following technical subject areas: * Working with databases (SQL, NoSQL) and ETL processes. * Data integration tools, platforms, and pipelines such as Apache Airflow, Apache Spark, Denodo, or Palantir's Warp Core. * Familiarity with monitoring, tracing, and service mesh technologies. We offer a competitive compensation package where you'll be rewarded based on your performance and recognized for the value you bring to our business. The grade-based pay range for this job is listed below. Individual salaries within that range are determined through a wide variety of factors including but not limited to education, experience, knowledge and skills. (Min - Max) $129,000 - $193,500 Pay Basis: Annual Leadership Competencies Our leadership philosophy is simple: every employee, regardless of level and role, can demonstrate leadership. At Aerospace, our commitment is our people. To cultivate our talent and ensure that we have a strong pipeline of future leaders, we want individuals who: * Operate Strategically * Lead Change * Engage with Impact * Foster Innovation * Deliver Results Ways We Reward Our Employees During your interview process, our team will provide details of our industry-leading benefits. Benefits vary and are applicable based on Job Type. A few highlights include: * Comprehensive health care and wellness plans * Paid holidays, sick time, and vacation * Standard and alternate work schedules, including telework options * 401(k) Plan - Employees receive a total company-paid benefit of 8%, 10%, or 12% of eligible compensation based on years of service and matching contributions; employees are immediately eligible and vested in the plan upon hire * Flexible spending accounts * Variable pay program for exceptional contributions * Relocation assistance * Professional growth and development programs to help advance your career * Education assistance programs * An inclusive work environment built on teamwork, flexibility, and respect We are all unique, from various backgrounds and all walks of life, yet one thing bonds all of us to each other-the belief that we can make a difference. This core belief empowers us to do our best work at The Aerospace Corporation. Equal Opportunity Commitment The Aerospace Corporation is an equal opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, age, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender, gender identity or expression, color, religion, genetic information, marital status, ancestry, national origin, protected veteran status, physical disability, medical condition, mental disability, or disability status and any other characteristic protected by state or federal law. If you're an individual with a disability or a disabled veteran who needs assistance using our online job search and application tools or need reasonable accommodation to complete the job application process, please contact us by phone at ************ or by email at ****************************** . You can also review Know Your Rights: Workplace Discrimination is Illegal.

The Opportunity: Design, deploy, and manage Splunk infrastructure. Develop and maintain Splunk dashboards, queries, and alerts. Integrate Splunk with various data sources to ensure comprehensive data ingestion. Monitor and troubleshoot Splunk performance issues. Collaborate with cross-functional teams to gather requirements and provide Splunk solutions. Implement and enforce best practices for Splunk data management and retention. Provide user training and support for Splunk-related activities. You Have * 2+ years of experience in managing and configuring Splunk, and in Splunk architecture, including indexers, search heads, forwarders, and deployment servers * 2+ years of experience configuring Cribl sources, destinations, routes and collectors, and building pipelines to parse, normalize, enrich, mask, dedupe, and route data to Targets * 2+ years of experience authoring and maintaining props.conf, transforms.conf, inputs.conf, and outputs.conf, and packaging Apps or TAs * 2+ years of experience in Linux and Windows administration, including file paths, services, permissions, and log locations * 1+ years of experience with Cribl Redmap or JavaScript functions * 1+ years of experience with regex for field extraction and event breaking, and Splunk REST API for automation and operational tasks * Active TS/SCI clearance; willingness to take a polygraph exam * Associate's degree and 5+ years of experience supporting IT projects and activities, OR Bachelor's degree and 3+ years of experience supporting IT projects and activities, OR Master's degree and 1+ years of experience supporting IT projects and activities, OR 10+ years of experience supporting IT projects and activities in lieu of a degree * DoD 8570 IAT Level II certification, including Security+ CE, CCNA-Security, GSEC, SSCP, CySA+, GICSP, or CND certification * Ability to obtain a DoD 8570 Cyber Security Service Provider - Infrastructure Support certification, including CEH, CySA+, GICSP, SSCP, CHFI, CFR, Cloud+, or CND certification, within 60 days of start date Nice If You Have * 2+ years of experience with Networking fundamentals, including TCP/UDP, TLS, syslog transport, firewall ports, and common transport issues * 2+ years of experience in basic troubleshooting with tools such as tcpdump or wireshark, basic vi/vim usage, setfacl, and SELinux * 1+ years of experience with DoD STIGs or other organizational hardening standards working in regulated environments * Experience in SPL for validation, troubleshooting and basic dashboards * Experience with scripting languages such as Python, Bash, or PowerShell * Experience with Load-Balancer fundamentals * Knowledge of common log formats, including syslog, Windows Event, JSON, CSV, and XML * Knowledge of Git for code version control * Knowledge of Ansible playbooks * Possession of strong verbal and written communication skills Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Work Model Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. * If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility. * If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role. 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.

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Remote Data Analyst. In this role, you will have the opportunity to develop complex reports and analyze critical data that influences decision-making at various levels. You will serve as a technical resource for data analysis and benchmarking, ensuring that the insights you provide meet the needs of stakeholders. Your work directly impacts the organization's ability to serve clients effectively through accurate data interpretation and analysis. If you thrive in a collaborative environment and are driven by empathy and customer orientation, this might be the perfect role for you.Accountabilities Develop comprehensive, complex, and accurate information reports. Create complex data reports and provide analysis for forecasting and benchmarking. Communicate data findings directly to senior management. Analyze and provide feedback on company or client-specific information needs. Deliver complex data analysis to meet specific client or program needs. Serve as a resource for colleagues on data analysis and benchmarking. Provide technical oversight and guidance to dedicated analysts in multiple locations. Deliver training and data analysis education for program staff. Requirements Six (6) years of related experience or a combination of education and experience. Experience in an insurance-related field and one (1) year of statistical analysis is strongly preferred. Proficiency with tools such as Excel, SAP Business Objects, Power BI, Snowflake, and Hex. Benefits Career development and promotional growth opportunities. A diverse and comprehensive benefits offering including medical, dental, vision, 401K, and PTO. Flexible spending or health savings account. Employee assistance and life insurance. A culture that values diversity, equity, and inclusion. Why Apply Through Jobgether? We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.#LI-CL1We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Our client Spry Squared is looking for a strong technical Data Engineer to join a team of highly empowered System Administrators, Developers, and Engineers to support the ETL workflows on classified data source networks (NIPR, SIPR, JWICS). Position is 100% onsite, no remote work. Responsibilities Utilize Apache NiFi to develop code for establishing and testing NiFi connections on classified networks. Create test data, perform manual queries, condition test data, and create notional unclassified data for testing ETL workflows and coding. Develop XML schema and convert data to XML as necessary. Assess the need and extent of data transforms. Qualifications Must have active TOP SECRET clearance with SCI Required technologies: Apache NiFi, REST API, Python, Jupyter Preferred technologies: JSON, XML Outstanding written and oral communication skills to explain complex technical concepts and issues. Strong analytical skills in a multi-tasking environment. Education/Training/Experience Bachelors degree in software engineering, aerospace engineering, electrical engineering, systems engineering, or closely related field from an accredited university. Masters degree desired in same/similar fields as Bachelors. Salary Range: $135,000-$160,000 depending on skills and experience Additional Information All your information will be kept confidential according to EEO guidelines.

At T. Rowe Price, we identify and actively invest in opportunities to help people thrive in an evolving world. As a premier global asset management organization with more than 85 years of experience, we provide investment solutions and a broad range of equity, fixed income, and multi-asset capabilities to individuals, advisors, institutions, and retirement plan sponsors. We take an active, independent approach to investing, offering our dynamic perspective and meaningful partnership so our clients can feel more confident. We believe doing the right thing for our clients and our associates is good business. With a career at the firm, you can expect opportunities to create real impact at work and in your community. You'll enjoy resources to support your career path, as well as compensation, benefits, and flexibility to enrich your life. Here, you'll find a collaborative culture that respects and values differences and colleagues who share a spirit of generosity. Join us for the opportunity to grow and make a difference in ways that matter to you. Role Summary The Lead Analyst plays a key role within the Individual Investor Data Management team. The II business is responsible for over $200B in client assets and serves 1.3 million investors. This role will contribute substantively to a cross-functional team by leveraging expertise in data management and reporting to support the positioning of T. Rowe Price investment products and retirement plan solutions for plan sponsors and retirement advisors. The Lead Analyst will leverage advanced technical and business data expertise and exceptional communication skills to drive strategic stakeholder partnerships and oversee data initiatives. Utilizes data subject matter expertise to lead discussions and serve as the primary data contact, with a particular focus on enabling the effective positioning of T. Rowe Price investment products and retirement plan solutions to plan sponsors and retirement advisors. Partners on crossover projects that span Individual Investor, Retirement Plan Services (RPS), and Advisory offers, ensuring data-driven strategies support both segments. Manages relationships with cross-functional team leads and coordinates the review and validation of data management work to enable strategic initiatives across multiple business lines. Leverages expertise to advise cross-functional stakeholders on methods to ensure data is accurate, timely, reliable, and trusted for business-critical activities. Responsibilities * Responsible for leading the development and testing of data management systems. Makes recommendations to management based on analysis and review of reports and findings aggregated by more junior professionals. * Acts as a consultant to the business on the most complex data and reporting requests. Ensures that data reporting and analyses provided to internal clients and stakeholders are timely and accurate and provides actionable insights for teams. * Provides analysis recommendations for current and future needs, which minimize redundancy and maximize compatibility of data within and across the business unit. Provides guidance on most complex data issues identified by more junior professionals. * Defines and manages processes and controls for the creation, consumption, assimilation, and/or destruction of data. Participates in projects with cross-functional teams and may serve as an advisor from a data management perspective. Ensures project goals are in line with overall data management business goals in terms of data and reporting needs. * Manages the most complex data sets. May be responsible for the development and providing guidance on data quality and maintenance policies and procedures. Evangelizes best practices for the business. Qualifications Required: * Bachelor's degree or the equivalent combination of education and relevant experience AND 8+ years of total relevant work experience Preferred: * Certified Product Owner or equivalent and demonstrable experience working in Agile environments (Scrum/Kanban). * Advanced data domain knowledge: data lineage, metadata management, data quality frameworks, and master data management (MDM). * Comprehensive working knowledge of investment products specifically within the retail and retirement plan space (e.g., Brokerage accounts, IRAs, ETFs, 401(k), 403(b), defined contribution, defined benefit plans), with demonstrated ability to inform requirements and business decisions. * Strong knowledge of relational database models and advanced SQL skills for data extraction, profiling, and review. * Proven experience with end-to-end data flows, dependencies, and translating data design into business outcomes. * Advanced project management skills and experience leading complex, cross-functional data initiatives. * Excellent written and verbal communication; ability to present technical concepts to business and senior leadership. * Proven ability to coordinate and collaborate across matrixed teams and stakeholders. * Self-directed, results-oriented, and able to manage multiple high-priority, sensitive projects simultaneously. * Strong organization, planning, prioritization, and process-improvement orientation. * Experience with MS Office (advanced Excel, PowerPoint); familiarity with collaboration tools (Jira, Confluence, Teams). * Experience creating, organizing, and executing comprehensive test plans for data pipelines and data products (including test cases, acceptance criteria, data validation, regression testing, and automated test coverage) to ensure data integrity and delivery quality. * Experience defining and tracking data governance KPIs and using metrics to drive remediation. * Experience mentoring or developing junior staff and leading capability-building efforts. FINRA Requirements FINRA licenses are not required and will not be supported for this role. Work Flexibility This role is eligible for hybrid work, with up to one day per week from home. Base Salary Ranges Please review the job posting for the location of this specific opportunity. $122,000.00 - $209,000.00 for the location of: Maryland, Colorado, Washington and remote workers $135,000.00 - $230,000.00 for the location of: Washington, D.C. $153,000.00 - $261,000.00 for the location of: New York, California Placement within the range provided above is based on the individual's relevant experience and skills for the role. Base salary is only one component of our total compensation package. Employees may be eligible for a discretionary bonus, which is determined upon company and individual performance. This job posting is expected to be available until: 03/3/2026 Commitment to Diversity, Equity, and Inclusion At T. Rowe Price, our associates are our greatest asset. We thrive because our company culture is built on inclusion and because we sustain a work environment where associates can bring their best selves to work every day. The backgrounds, talents, and experiences of our global associates allow us to embrace new ideas and perspectives that move our business priorities forward and enable us to deliver strong client outcomes. Here, you can expect equal opportunity and fair and consistent treatment for all. Benefits We value your goals and needs, at work and in life. As an associate, you'll be supported with resources, benefits, and work-life balance so you can thrive in ways that matter to you. Featured employee benefits to enrich your life: * Competitive compensation * Annual bonus eligibility * A generous retirement plan * Hybrid work schedule * Health and wellness benefits, including online therapy * Paid time off for vacation, illness, medical appointments, and volunteering days * Family care resources, including fertility and adoption benefits Learn more about our benefits. T. Rowe Price is an equal opportunity employer and values diversity of thought, gender, and race. We believe our continued success depends upon the equal treatment of all associates and applicants for employment without discrimination on the basis of race, religion, creed, color, national origin, sex, gender, age, mental or physical disability, marital status, sexual orientation, gender identity or expression, citizenship status, military or veteran status, pregnancy, or any other classification protected by country, federal, state, or local law.

Title: Senior Data Engineer Belong. Connect. Grow. with KBR! KBR's National Security Solutions team provides high-end engineering and advanced technology solutions to our customers in the intelligence and national security communities. In this position, your work will have a profound impact on the country's most critical role - protecting our national security. KBR, is seeking a highly motivated Senior Data Engineer to join us in supporting our great nation, supporting the Air Force Research Laboratory (AFRL) development team in Colorado Springs, CO. Why Join Us? Innovative Projects: At KBR, you'll be working on prototype projects that support the U.S. Air Force Research Laboratory's most mission-critical objectives. The Air Force Research Laboratory is the primary scientific research and development center for the Department of the Air Force. AFRL plays an integral role in leading the discovery, development, and integration of affordable warfighting technologies for our air, space, and cyberspace force. Collaborative Environment: KBR fosters a dynamic and collaborative atmosphere where cross-functional teams of product managers, engineers, developers, and defense experts work in unison. We practice Agile and DevOps principles, ensuring rapid iteration, continuous feedback, and integration across all projects. Our team is passionate, forward-thinking, and united by a mission-first mindset that encourages knowledge sharing, innovation, and problem-solving at every level. Impactful Work: Your work here won't just be limited to software development-it will directly support the Air Force in expanding current national capabilities. As the Air Force's leader for National-to-Tactical capability development, AFRL collaborates with leading experts across the Intelligence Community, Department of Defense, National Laboratories, industry, inter-agency, academia, and partner nations. Key Responsibilities: Design, engineer, analyze, and develop data models, and databases as part of a multi-disciplinary team Develop Extract Transform Load pipelines Engage with customers to better define the problem space and vision to determine capabilities and priorities for prototypes Work across multiple technology stacks, gaining hands-on experience with various languages, frameworks, and tools to support a broad range of applications Work with database technologies such as PostgreSQL, Redis, MySQL, and others Aid algorithm and data pipeline development in Apache Nifi Work Environment: Location: Colorado Springs, CO - 100% Onsite Travel Requirements: Minimal Working Hours: Standard Qualifications: Required: Security Clearance: Must have an active U.S. government Top Secret / SCI security clearance, which is something only a U.S. citizen can obtain Education: Bachelor's Degree in computer, information systems or related field Advanced proficiency in SQL and NoSQL databases Experience with Apache Accumulo, Apache Hadoop Experience with Python Experience with Docker, AWS and / or Azure Hands-on experience with Apache Kafka, Apache NiFi Experience developing data tools that interface with multiple message types, such as xml, and protocol buffers (protobuf) Ability to work independently to research and solve customer pain points Desired: Master's Degree in Computer Science or related field Experience with Apache Artimis, ActiveMQ, or other IoT message brokers Working knowledge of MIL-STD-6016 and MIL-STD-3011 High level of curiosity and investigative mindset with an attention to detail, a tenacity of thought, the flexibility to adapt to new challenges, and the resiliency to overcome short-term hurdles by staying focused on the team's deliverables Strong passion for conducting research, tackling complex problems, and continuously learning and adopting new technologies Proficient in using GitLab for version control, CI/CD pipelines, and collaboration Experienced in implementing Agile Software Development methodologies for efficient and iterative project management Passion for conducting research, tackling complex problems, and continuously learning and adopting new technologies Security+ Certification Basic Compensation: $114,400 - $171,600 (For the Colorado Springs Area Only) The offered rate will be based on the selected candidate's knowledge, skills, abilities and/or experience and in consideration of internal parity. Additional Compensation: KBR may offer bonuses, commissions, or other forms of compensation to certain job titles or levels, per internal policy or contractual designation. Additional compensation may be in the form of a sign on bonus, relocation benefits, short-term incentives, long-term incentives, or discretionary payments for exceptional performance. Belong, Connect and Grow at KBR At KBR, we are passionate about our people and our Zero Harm culture. These inform all that we do and are at the heart of our commitment to, and ongoing journey toward being a People First company. That commitment is central to our team of team's philosophy and fosters an environment where everyone can Belong, Connect and Grow. We Deliver - Together. KBR is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law.

Our client is seeking a Data Engineer for contract opportunity (with possibility of going permanent). The Data Engineer builds and optimizes the association's data and data pipeline architecture. This includes data flow and collection, ensuring consistent architecture throughout. The incumbent's work is varied, supporting multiple teams, systems, and projects. Staying up-to-date with data engineering tools and technologies, including cloud-based data services, is essential for this position. DUTIES: Data Storage Designs, optimizes, and maintains databases for efficient data storage and retrieval. Manages data warehouses or data lakes to ensure accessibility and reliability of data. Develops and maintains data models and schemas that support analytics and reporting. Manages our Snowflake instance to provide business and regulatory report on our portfolio and ancillary services from initial contact to post loan closure. Data Architecture Builds and maintains data pipelines to move, transform, and load data from various sources to a centralized repository. Optimizes data infrastructure and pipelines for speed, scalability, and cost-effectiveness. Designs, publishes, documents, monitors, secures, and analyzes Application Programming Interfaces (APIs). Creates ETL (Extract, Transform, Load) processes to clean, transform, and prepare data for analysis. Data Quality Ensures data completeness, integrity, and security through validation, monitoring, and governance practices. Normalization of data to eliminate duplications and ensure single source of truth. Data Collaboration Works closely with stakeholders to understand data needs and provide access to relevant data. Creates documentation and provides support to help others understand and use the data infrastructure effectively. Data Security and Confidentiality Appropriately protects the confidentiality, security, and integrity of the Association, employees, borrowers, and other stakeholders REQUIRMENTS: Bachelor's degree in computer science, IT, or related field 5+ years of related experience as a Data Engineer or similar role 2+ years of experience working within Snowflake or an equivalent combination of education and experience sufficient to perform the essential functions of the job. Technical expertise with data pipelines, API management, data models, and data warehouses Working knowledge of programming languages (e.g. Java and Python) Hands-on experience with SQL database design Demonstrated analytical skills Demonstrated skill in interacting and collaborating with others Skill in oral and written communication, sufficient to discuss a variety of job-related topics, and to effectively communicate complex topics to a variety of audiences Skill in utilizing a systematic approach to problem solving Skill in researching information to gain knowledge to apply to business challenges Skill in performing a variety of duties, often changing from one task to another of a different nature Skill in advising and guiding individuals to achieve results Kavaliro provides Equal Employment Opportunities to all employees and applicants. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Kavaliro is committed to the full inclusion of all qualified individuals. In keeping with our commitment, Kavaliro will take the steps to assure that people with disabilities are provided reasonable accommodations. Accordingly, if reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the position, and/or to receive all other benefits and privileges of employment, please respond to this posting to connect with a company representative.

**Why USAA?** At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. **The Opportunity** We offer a flexible work environment that requires an individual to be **in the office 4 days per week.** This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, or Tampa, FL. Relocation assistance is **not** available for this position. The **Lead Graph Data Scientist - Identity Analytics** is responsible for development and implementation of quantitative solutions that improve USAA's ability to detect and prevent identity theft, account takeover, and first party/synthetic fraud. These solutions will range from the development of machine learning models to broad implementation of solutions such as graph analytics to protect USAA and our Members from risks emanating from these threats. Strong candidates will be able to deploy the following work products and processes: + Develop and continuously update internal identity theft and authentication models to mitigate fraud losses and negative member experience from fraud application, synthetic fraud and account takeover attempts + Closely partner with Strategies team, Director of Fraud Identity Analytics and Director of Fraud Model Management and Model Users on model builds and priorities + Partner with Technology and other key collaborators to deploy a Financial Crimes graph database strategy, including vendor selection, business requirements, data needs, and clear use cases spanning financial crimes + Deploy graph databases and graph techniques to identify criminal networks engaging in fraud, scams, disputes/claims and AML and deliver highly significant benefits + Generate and prioritize fraud-dense rings to mitigate losses and improve Member experience + Identify and work with technology to integrate new data sources for models and graphs to augment predictive power and improve business performance + Exports insights to decision systems to enable better fraud targeting and model development efforts + Drives continuous innovation in modeling efforts including advanced techniques like graph neural networks + Develops and mentors junior staff, establishing a culture of R&D to augment the day-to-day aspects of the job **What you'll do:** + Gathers, interprets, and manipulates sophisticated structured and unstructured data to enable sophisticated analytical solutions for the business. + Leads and conducts sophisticated analytics demonstrating machine learning, simulation, and optimization to deliver business insights and achieve business objectives. + Guides team on selecting the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs. + Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. + Composes and peer reviews technical documents for knowledge persistence, risk management, and technical review audiences. + Partners with business leaders from across the organization to proactively identify business needs and proposes/recommends analytical and modeling projects to generate business value. + Works with business and analytics leaders to prioritize analytics and highly sophisticated modeling. problems/research efforts. + Leads efforts to build and maintain a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data. + Assists team with translating business request(s) into specific analytical questions, implementing analysis and/or modeling, and communicating outcomes to non-technical business colleagues with a focus on business action and recommendations. + Manages project portfolio breakthroughs, risks, and impediments. Anticipates potential issues that could limit project success or implementation and intensifies as needed. + Establishes and maintains standard methodologies for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards. + Interacts with internal and external peers and management to maintain expertise and awareness of pioneering techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies. + Serves as a mentor to data scientists in modeling, analytics, computer science, eye for business, and other interpersonal skills. + Participates in enterprise-level efforts to drive the maintenance and transformation of data science technologies and culture. + Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. **What you have:** + Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative field; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. + 8 years of experience in a predictive analytics or data analysis + 6 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models. + 4 years of experience in one or more dynamic scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models. + Expert ability to write code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency). + Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, NoSQL, etc. + Strong experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc. + Excellent demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics. + Proven ability to assess and articulate regulatory implications and expectations of distinct modeling efforts. + Project management experience that demonstrates the ability to anticipate and appropriately manage project landmarks, risks, and impediments. Demonstrated history of appropriately communicating potential issues that could limit project success or implementation. + Expert level experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic models, discriminant analysis, support vector machines, decision trees, and ensemble methods such as Random Forests, XGBoost, LightGBM, and CatBoost. + Expert level experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc. + Demonstrated experience in guiding and mentoring junior technical staff in business interactions and model building. + Demonstrated ability to communicate ideas with team members and/or business leaders to convey and present very technical information to an audience that may have little or no understanding of technical concepts in data science. + A strong track record of communicating results, insights, and technical solutions to Senior Executive Management (or equivalent). + Extensive technical skills, consulting experience, and business savvy to collaborate with all levels and subject areas within the organization. **What sets you apart:** + US military experience through military service or a military spouse/domestic partner + Graduate degree in a quantitative subject area + Over 5 years of experience with model development or other advanced fraud detection algorithms + Over 4 years of experience with graph databases and graph solutions + Experience in fraud/financial crimes model development **Compensation:** The salary range for this position is: **$164,780 - $296,610.** **USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.).** **Compensation:** USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. **Benefits:** At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on USAAjobs.com. _Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting._ _USAA is an Equal Opportunity Employer. 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._ **If you are an existing USAA employee, please use the internal career site in OneSource to apply.** **Please do not type your first and last name in all caps.** **_Find your purpose. Join our mission._** USAA is unlike any other financial services organization. The mission of the association is to facilitate the financial security of its members, associates and their families through provision of a full range of highly competitive financial products and services; in so doing, USAA seeks to be the provider of choice for the military community. We do this by upholding the highest standards and ensuring that our corporate business activities and individual employee conduct reflect good judgment and common sense, and are consistent with our core values of service, loyalty, honesty and integrity. USAA attributes its long-standing success to its most valuable resource: our 35,000 employees. They are the heart and soul of our member-service culture. When you join us, you'll become part of a thriving community committed to going above for those who have gone beyond: the men and women of the U.S. military, their associates and their families. In order to play a role on our team, you don't have to be connected to the military yourself - you just need to share our passion for serving our more than 13 million members. USAA is an EEO/AA Employer - applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, genetic information, sexual orientation, gender identity or expression, pregnancy, protected veteran status or other status protected by law. California applicants, please review our HR CCPA - Notice at Collection (********************************************************************************************************** here. USAA is an EEO/AA Employer - applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, genetic information, sexual orientation, gender identity or expression, pregnancy, protected veteran status or other status protected by law.