Senior data scientist jobs in San Antonio, TX - 146 jobs

RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE TYPE: Top SecretTRAVEL: Yes, 10% of the TimeDescriptionAt Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. At the heart of Defining Possible is our commitment to missions. In rapidly changing global security environments, Northrop Grumman brings informed insights and software-secure technology to enable strategic planning. We're looking for innovators, who can help us keep building on our wide portfolio of secure, affordable, integrated, and multi-domain systems and technologies that fuel those missions. By joining in our shared mission, we will support yours of expanding your personal network and developing skills, whether you are new to the field or an industry thought-leader. At Northrop Grumman, you will have the resources, support, and team to do some of the best work of your career. We are seeking an experienced Data Scientist (Principal / Sr Principal Data Scientist) to join our dynamic team of technical professionals. The qualified applicant will become part of Northrop Grumman's Mission Systems support team in San Antonio, TX. Please be aware that this position will be contingent upon capturing program award, obtaining customer funding, and holding final clearances prior to start date. * What you'll get to do: Working as part of a team to design, build and maintain AWS and hybrid-cloud systems Administering systems based on Linux and Windows operating systems Maintaining and troubleshooting IP networking systems for AWS and hybrid-cloud systems Automating system deployment, operation and maintenance using Infrastructure as Code and Configuration Management tooling This position can be filled at the Principal or Sr. Principal Engineer level. Basic Qualifications for Principal Cyber Systems Engineer: Bachelor's degree in related STEM discipline with 5 years of experience; Master's degree related in STEM discipline with 3 years of experience; PhD in related STEM discipline with 1 year of experience in Electrical Engineering, Systems Engineering, Software Engineering, Computer Engineering, Physics, Mathematics or related technical fields; an additional 4 years of experience may be considered in lieu of a degree. U.S. Citizenship required A current/active DoD Top Secret w/ SCI eligibility Proficient with CI/CD tools (GitLab, Jenkins, Azure DevOps, GitHub Actions) Strong scripting abilities (Python, Bash, PowerShell) Experience with containerization (Docker, Kubernetes) and cloud platforms (AWS, Azure, GCP, or private cloud) Knowledge of IaC (Terraform, Ansible, Pulumi) Deep understanding of SCM, code quality, and test automation (pytest, CTest, JUnit). IAT Level II certification (e.g. Security + CE) or ability to obtain within 6 months Basic Qualifications for Sr. Principal Cyber Systems Engineer: Bachelor's degree in related STEM discipline with 8 years of experience; Master's degree related in STEM discipline with 6 years of experience; PhD in related STEM discipline with 4 years of experience in Electrical Engineering, Systems Engineering, Software Engineering, Computer Engineering, Physics, Mathematics or related technical fields; an additional 4 years of experience may be considered in lieu of a degree. U.S. Citizenship required A current/active DoD Top Secret w/ SCI eligibility Proficient with CI/CD tools (GitLab, Jenkins, Azure DevOps, GitHub Actions) Strong scripting abilities (Python, Bash, PowerShell) Experience with containerization (Docker, Kubernetes) and cloud platforms (AWS, Azure, GCP, or private cloud) Knowledge of IaC (Terraform, Ansible, Pulumi) Deep understanding of SCM, code quality, and test automation (pytest, CTest, JUnit). IAT Level II certification (e.g. Security + CE) or ability to obtain within 6 months Preferred Qualifications for both levels: 3 years experience with build tools (i.e., Maven, Ant, GNU make) and/or continuous integration environments (i.e., Jenkins, GitLab, Bamboo) and/or repositories (i.e. Nexus, JFROG) 3 years experience with Jira/Confluence in an Agile environment. Proficiency with Linux based software development tools. 3 years experience with Microsoft and Linux Red Hat operating system. 3 years experience with scripting languages (i.e. PERL, Python, Bash, YAML). 3 years experience with Kubernetes implementation and Day 2 Operations. 3 years experience with VMware Cloud Foundation, Terraform, vCenter, vSphere, or similar Virtual Provisioning. 3 years experience with container technologies 3 years experience developing and implementing CI/CD Pipelines. Excellent interpersonal, communication and organizational skills. Strong critical thinking and logical reasoning skills with the ability to solve issues. Working knowledge of Cybersecurity technologies, NIST standards, and RMF governance Excellent communication and stakeholder management Proven ability to influence and drive adoption of best practices across teams SAP access Primary Level Salary Range: $110,000.00 - $165,500.00Secondary Level Salary Range: $137,500.00 - $206,000.00The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions.Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business.The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit *********************************** U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.

Responsibilities H-E-B's Corporate Planning and Analysis Team develops and maintains budgets and financial systems while providing current, reliable financial data, analysis, and technical information. As a Data Scientist II, your archetype is an ML / AI Business Solution Designer. Your passions include creating end-to-end business solutions packages by integrating multi-modals and data pipelines, innovating new ML algorithms to establish strong competitive advantage for H-E-B business, and designing and implementing different ML integration patterns to facilitate multi-modal orchestration. Once you're eligible, you'll become an Owner in the company, so we're looking for commitment, hard work, and focus on quality and Customer service. 'Partner-owned' means our most important resources--People--drive the innovation, growth, and success that make H-E-B The Greatest Omnichannel Retailing Company. Do you have a: HEART FOR PEOPLE... willingness to take a break from algorithmic thinking / detecting to translate and share your findings with a variety of business customers? HEAD FOR BUSINESS... skills to blend mass data-wrangling with business acumen? PASSION FOR RESULTS... drive to generate business-valued questions and data-based n solutions? We are looking for: * a thought leader of ML innovation who orchestrates business solutions across ML pipelines What is the work? Analytics / Design & Development: * Analyzes clickstream data and customer interactions to drive insights. * Develops and deploy machine learning models to support e-commerce initiatives * Presents findings to both technical and non-technical audiences, including senior leadership * Manages multiple data science projects while collaborating with Product, Business, and Engineering teams * Serves H-E-B as a thought leader in selected mainstream ML / AI fields * Builds a concrete roadmap for ML solution maturity revolution * Creates end-to-end business solutions packages by integrating multi-modals and data pipelines * Designs / implements different ML integration patterns to facilitate multi-modal orchestration * Innovates new ML algorithms to establish strong competitive advantage for H-E-B business; ensures new algorithms are backed by solid math and science proof * Applies an inquisitive nature about open source algorithms, their theories, and their implementation * Grows expertise in constructing distributed machine learning pipeline from scratch What is your background? * A related degree or comparable formal training, certification, or work experience * 5+ years of experience in a retail or retail-related decision science role * Expertise / in-depth knowledge of business domain * Well-rounded experience integrating math / science and platform engineering Do you have what it takes to be a Data Scientist at H-E-B? * Experience with Clickstream Analytics (BQ/Amplitude) (Preferably in Retail) * Experience with Recommendation Systems * Able to continuously learn new methodologies and applications of ML/AI techniques * Strong capabilities in translating data science findings into business-friendly results. * Able to present findings to leaders and peers. * Ability to contribute to multiple work streams concurrently while staying connected to Product, Business, and Engineering teams. * Experience working with visualization tools such as Tableau and Dash * Proficiency in DS techniques (classification, regression, optimization) * Some familiarity with big data ecosystems (e.g., Spark, Hadoop) and UNIX commands / scripting * Understanding of best-in-class AI techniques to customize algorithms that created H-E-B-unique differentiators * Strong research and analytical skills * Critical and lateral thinking skills * Experience working with e-commerce data and understanding customer behavior * Proficiency in tools like BigQuery, Amplitude, or similar for clickstream data analysis * Experience with Tableau, Dash, or equivalent platforms to visualize data * Ability to develop end-to-end ML solutions, including NLU/LLM modeling * Proficiency in Python, SQL, Spark * Strong ability to present findings clearly and collaborate across teams * Programming language skills (SQL, R, Python, Scala, Java, C/C++) * ML optimization skills (GPU code optimization, Horovod, SparkMLlib optimization, Cython, JNI, Numba * Mainstream ML / AI skills (deep learning, computer vision, NLP / NLU, reinforcement learning, meta-learning, federated learning) * Ability to grow expertise in constructing distributed machine learning pipeline from scratch Can you... * Work in a fast-paced retail environment with frequently shifting priorities * Work extended hours; sit for long periods 08-2021 CPFA3232

**Specialty/Competency:** Data, Analytics & AI **Industry/Sector:** Not Applicable **Time Type:** Full time **Travel Requirements:** Up to 80% At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn't clear, you ask questions, and you use these moments as opportunities to grow. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: + Respond effectively to the diverse perspectives, needs, and feelings of others. + Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. + Use critical thinking to break down complex concepts. + Understand the broader objectives of your project or role and how your work fits into the overall strategy. + Develop a deeper understanding of the business context and how it is changing. + Use reflection to develop self awareness, enhance strengths and address development areas. + Interpret data to inform insights and recommendations. + Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. **Minimum Degree Required** Bachelor's Degree **Minimum Year(s) of Experience** 4 year(s) Demonstrates thorough-level abilities and/or a proven record of success managing the identification and addressing of client needs: + Building of GenAI and AI solutions, including but not limited to analytical model development and implementation, prompt engineering, general all-purpose programming (e.g., Python), testing, communication of results, front end and back-end integration, and iterative development with clients + Documenting and analyzing business processes for AI and Generative AI opportunities, including gathering of requirements, creation of initial hypotheses, and development of GenAI and AI solution approach + Collaborating with client team to understand their business problem and select the appropriate analytical models and approaches for AI and GenAI use cases + Designing and solutioning AI/GenAI architectures for clients, specifically for plugin-based solutions (i.e., ChatClient application with plugins) and custom AI/GenAI application builds + Processing unstructured and structured data to be consumed as context for LLMs, including but not limited to embedding of large text corpus, generative development of SQL queries, building connectors to structured databases + Support management of daily operations of a global data and analytics team on client engagements, review developed models, provide feedback and assist in analysis; + Directing data engineers and other data scientists to deliver efficient solutions to meet client requirements; + Leading and contributing to development of proof of concepts, pilots, and production use cases for clients while working in cross-functional teams; + Structuring, write, communicate and facilitate client presentations; and, + Directing associates through coaching, providing feedback, and guiding work performance. Demonstrates thorough abilities and/or a proven record of success learning and performing in functional and technical capacities, including the following areas: + Managing AI/GenAI application development teams including back-end and front-end integrations + Using Python (e.g., Pandas, NLTK, Scikit-learn, Keras etc.), common LLM development frameworks (e.g., Langchain, Semantic Kernel), Relational storage (SQL), Non-relational storage (NoSQL); + Experience in analytical techniques such as Machine Learning, Deep Learning and Optimization + Vectorization and embedding, prompt engineering, RAG (retrieval, augmented, generation) workflow dev + Understanding or hands on experience with Azure, AWS, and / or Google Cloud platforms + Experience with Git Version Control, Unit/Integration/End-to-End Testing, CI/CD, release management, etc. Learn more about how we work: ************************** PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: *********************************** As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: *************************************** The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: ***********************************

Rhombus Power delivers AI-powered predictive intelligence in real time for defense and national security organizations worldwide. Our mission-built products- Ambient AI and Guardian- are transforming strategic, operational, and tactical decision-making. By empowering the shift from reactive analysis to proactive, predictive intelligence and decision support, Rhombus Power is providing foresight and freedom of action when it matters most. Come join our cross-disciplinary and world-class team that is delivering game-changing solutions to transform global security. Learn more about Rhombus and watch a demonstration of Guardian, our AI Platform here: ******************************************* ************************************************ ******************************************* See the following articles to learn more about what we do: ******************************************* Job description As a Data Scientist at Rhombus you will work with our Product team. You will design, develop, and launch efficient and reliable data pipelines to move, analyze, and model data and to provide intuitive analytics from Rhombus' large and complex datasets. A strong systematic mind is a priority, as well as the ability to communicate clearly in multiple technical contexts. The ideal candidate should be passionate about finding insights in large datasets, while maintaining attention to database architecture, data reliability, efficiency, and quality. As we are continually releasing new features and products, the ability to construct elegant system-level data architecture is expected. You will acquire, manipulate, and transform data to breathe life and meaning into arcane holdings, and use your creations to open new doors and opportunities to the customer. An innovative and inquisitive mind is required for success. Responsibilities Discover datasets that could help in solution development Data curation, data evaluation, and data analysis Design, create, and implement quantitative models Validation and quality assurance of data, models and results Deploy and implement solutions in collaboration with product team Interact with the product team on current and upcoming user requirements Responsiveness to customer feedback delivered by product team and responsiveness to customer timelines Systems-level approach to implementation to integrate solutions as part of a larger, interconnected project Qualifications Active Secret clearance A strong academic background in Statistics, Mathematics, Engineering, or similar degree is highly desired. We prefer candidates to hold at minimum a Masters degree. Exceptional academic and industry experience with Python and especially with data handling libraries such as Pandas and PyArrow Strong background in database management solutions, familiarity with databases such as MySQL and Oracle Large-scale data processing and implementing batch processing pipelines in HPC or cloud architecture Experience with Cloud Computing environments (AWS, GCloud, Azure) is a plus Location San Antonio, TX Salary This position has a salary range of $90,000 to $170,000. Final salary will be determined based on experience and qualifications. Benefits Full medical, dental, vision coverage for employee and dependents 401k matching program PTO and Holidays Bonus and other incentive programs Access to mental health program Access to Flexible Spending Accounts for Health Care, Dependent and Commuter About Rhombus Rhombus Power Inc. (Rhombus) is a startup located in the heart of Silicon Valley at Stanford Research Park in Palo Alto. We use cutting-edge cross-disciplinary approaches to solve pressing Big Data and Sensing problems in security, energy, and healthcare. Our advisory board includes two Nobel Laureates and a Draper Prize winner. Rhombus compensates, motivates, and develops employees, who are trusted, empowered, and involved. Employees have clear roles and expectations - and their roles are flexible enough to move at the speed of innovation in order to meet and exceed client expectations. We have a unique culture of global purpose, rooted in the innovation and progress of Silicon Valley. Rhombus knows that diversity is a condition for success. We are committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action Employer.

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

**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** As a dedicated Data Scientist Senior, you will join USAA's Insurance Data Science team using strategic insights, AI, and automation to empower our Life Company partners in protecting and serving our members. We are seeking a highly collaborative and adaptable technical leader who will innovate solutions and re-engineer processes to fuel aggressive business growth. This critical role offers the opportunity to employ data for strategic insight, solve complex challenges, and deliver game-changing value. If you are passionate about using data to make a real-world difference and help our members build a legacy, we want to hear from you. Senior Data Scientists translates business problems into applied statistical, machine learning, simulation, and optimization solutions to inform actionable business insights and drive business value through automation, revenue generation, and expense and risk reduction. In collaboration with engineering partners, delivers solutions at scale, and enables customer-facing applications. Leverages' database, cloud, and programming knowledge to build analytical modeling solutions using statistical and machine learning techniques. Collaborates with other data scientists to improve USAA's tooling, expanding the company's library of internal packages and applications. Works with model risk management to validate the results and stability of models before being pushed to production at scale. 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, or Phoenix, AZ. Relocation assistance is **not** available for this position. **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 visible and based on the highest quality data. + Translates complex 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. + Handles project landmarks, risks, and impediments. Calls out 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 procedures and model risk management standards. + Maintains expertise and awareness of pioneering 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 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. + 6 years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master's, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative field and 4 years of experience in 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. + Validated experience writing code that is easy to follow, well documented, and commented where necessary to explain logic (high code visibility). + Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, 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, forest models, etc. + 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:** + Strong history of collaborating with other data scientists, data engineers, and IT on delivering AI/ML solutions to business partners in highly regulated environments, with a foundational understanding of Model Risk Management (MRM) and governance principles. + Proficiency in software engineering standard methodologies for data science, including robust coding standards, version control, and collaboration with engineering teams for model deployment and productionization. + Demonstrated history of partnering with business subject matter authorities to translate complex business problems into advanced analytical solutions, critically evaluating approaches, and translating technical findings into clear, business-oriented recommendations and driving adoption of data-driven strategies. + Experience in the Life Insurance, Health Insurance, and/or Annuities business both digitally and in support of call center operations. + Validated expertise in using analytics and modeling to drive marketing engagement and optimization, designing customer journeys, persona and segmentation, positioning and messaging optimization, using data to support go-to-market strategies, etc. + Experience in user acceptance testing, pilot testing, experimentation, and/or A-B Testing to evaluate the value delivery of model solutions. **Compensation range:** The salary range for this position is: $143,320.00 - $273,930.00 **.** **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.

Responsibilities We are seeking a highly skilled and innovative Data Scientist to join our team at Lackland AFB, supporting 16th Air Force (16 AF). The Data Scientist will play a critical role in leveraging advanced data analytics, machine learning, and statistical modeling to support intelligence, surveillance, and reconnaissance (ISR) operations. This position requires expertise in data science methodologies, tools, and technologies to design how data will be stored, consumed, integrated and managed by different units and digital systems. Key Responsibilities: Develop and implement data science solutions to support ISR operations and decision-making processes. Determine, create and populate optimal data architectures, structures, and systems. Apply machine learning algorithms, statistical modeling, and predictive analytics to solve mission-critical challenges. Design and maintain data pipelines, ensuring the efficient collection, processing, and storage of structured and unstructured data. Identify and address data quality issues, ensuring the accuracy and reliability of analytical outputs. Stay current with emerging data science technologies, tools, and methodologies to enhance analytical capabilities. Ensure compliance with all security protocols, classification guidelines, and organizational policies. Qualifications Required Qualifications: Required Experience: Minimum 15 years of experience conducting analysis relevant to the specific labor category with at least a portion of the experience within the last 2 years. Required Education: Master's degree from a college or university accredited by an agency recognized by the U.S. Department of Education or have a bachelor's degree from a college or university accredited by an agency recognized by the U.S. Department of Education and an additional 5 years of related expert experience, for a total of 20 years, as a substitute to the master's degree. Technical Expertise: Proficiency in data analysis, machine learning, and statistical modeling. Experience with programming languages such as Python, R, or SQL. Familiarity with data visualization tools such as Tableau, Power BI, or D3.js. Strong understanding of data engineering concepts, including ETL processes and database management. Skills: Exceptional analytical, critical thinking, and problem-solving skills. Strong written and verbal communication skills for producing reports and presenting findings. Ability to work collaboratively in a fast-paced, mission-driven environment. Security Clearance: Active Top Secret/SCI clearance is required. Preferred Qualifications: Experience supporting 16 AF or similar ISR & Cyber organizations. Knowledge of ISR operations and intelligence data sources. Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud. Certifications such as Certified Data Scientist (CDS), AWS Certified Machine Learning Specialty, or equivalent. Why Join Us? Be part of a mission-critical team supporting the U.S. Air Force's ISR and data-driven operations. Work in a dynamic and collaborative environment at Lackland AFB, a hub for Air Force intelligence and innovation. Access to professional development opportunities and career growth within the data science and intelligence community. #AFACC Peraton Overview Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we're keeping people around the world safe and secure. Target Salary Range $112,000 - $179,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. EEO EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.

Responsibilities We are seeking a highly skilled and innovative Data Scientist to join our team at Lackland AFB, supporting 16th Air Force (16 AF). The Data Scientist will play a critical role in leveraging advanced data analytics, machine learning, and statistical modeling to support intelligence, surveillance, and reconnaissance (ISR) operations. This position requires expertise in data science methodologies, tools, and technologies to design how data will be stored, consumed, integrated and managed by different units and digital systems. Key Responsibilities: * Develop and implement data science solutions to support ISR operations and decision-making processes. * Determine, create and populate optimal data architectures, structures, and systems. * Apply machine learning algorithms, statistical modeling, and predictive analytics to solve mission-critical challenges. * Design and maintain data pipelines, ensuring the efficient collection, processing, and storage of structured and unstructured data. * Identify and address data quality issues, ensuring the accuracy and reliability of analytical outputs. * Stay current with emerging data science technologies, tools, and methodologies to enhance analytical capabilities. * Ensure compliance with all security protocols, classification guidelines, and organizational policies. Qualifications Required Qualifications: * Required Experience: Minimum 15 years of experience conducting analysis relevant to the specific labor category with at least a portion of the experience within the last 2 years. * Required Education: Master's degree from a college or university accredited by an agency recognized by the U.S. Department of Education or have a bachelor's degree from a college or university accredited by an agency recognized by the U.S. Department of Education and an additional 5 years of related expert experience, for a total of 20 years, as a substitute to the master's degree. * Technical Expertise: * Proficiency in data analysis, machine learning, and statistical modeling. * Experience with programming languages such as Python, R, or SQL. * Familiarity with data visualization tools such as Tableau, Power BI, or D3.js. * Strong understanding of data engineering concepts, including ETL processes and database management. * Skills: * Exceptional analytical, critical thinking, and problem-solving skills. * Strong written and verbal communication skills for producing reports and presenting findings. * Ability to work collaboratively in a fast-paced, mission-driven environment. * Security Clearance: Active Top Secret/SCI clearance is required. Preferred Qualifications: * Experience supporting 16 AF or similar ISR & Cyber organizations. * Knowledge of ISR operations and intelligence data sources. * Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud. * Certifications such as Certified Data Scientist (CDS), AWS Certified Machine Learning Specialty, or equivalent. Why Join Us? * Be part of a mission-critical team supporting the U.S. Air Force's ISR and data-driven operations. * Work in a dynamic and collaborative environment at Lackland AFB, a hub for Air Force intelligence and innovation. * Access to professional development opportunities and career growth within the data science and intelligence community. #AFACC Peraton Overview Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we're keeping people around the world safe and secure. Target Salary Range $112,000 - $179,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. EEO EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.

JobID: 210694005 JobSchedule: Full time JobShift: : Join our Data Analytics Reporting Team (DART) to build modular agentic components and ship production-ready AI features. You'll leverage Python, AWS, and leading agentic frameworks to automate workflows, scale securely, and deliver measurable business outcomes. As a Data Scientist Associate Sr within the Data Analytics Reporting Team at JPMorganChase, you will design, build, and maintain modular components for agentic systems that automate and orchestrate workflows across business platforms. You will own workstreams and Jira stories, delivering high-quality, scalable Python code and features within larger AI/ML initiatives. You will containerize and deploy solutions to cloud environments using Docker and infrastructure as code with Terraform, and collaborate closely with cross-functional partners to integrate agentic capabilities into existing systems. You will stay current on agentic frameworks such as LangGraph, Google ADK, and AutoGen, as well as LLMs and GenAI techniques including retrieval-augmented generation, applying them pragmatically to solve business problems. You will document designs, communicate progress and technical concepts to stakeholders, and uphold code quality, security, and compliance through testing and peer reviews. Exposure to Kubernetes and EKS, MLOps tooling, and core AWS services (S3, RDS, CloudFormation) will help you drive resilient, production-grade solutions aligned to business goals Job Responsibilities * Build, test, and maintain modular components for agentic systems, enabling intelligent automation and orchestration within business platforms. * Take ownership of individual workstreams and Jira stories, delivering high-quality code and features as part of larger AI/ML initiatives. * Work closely with team members to integrate agentic capabilities into existing systems and support solution delivery. * Containerize and deploy agentic system components on cloud platforms, following established DevOps and infrastructure-as-code practices. * Stay current with advancements in agentic frameworks (e.g., LangGraph, Google ADK, AutoGen), LLMs, and GenAI, and apply these technologies to assigned tasks and features. * Document design decisions, implementation details, and results; communicate progress and technical concepts to team members and stakeholders. * Ensure code quality, security, and compliance through testing, peer reviews, and adherence to best practices Required Qualifications, Capabilities, and Skills * Bachelor's degree with 3+ years' experience or Master's degree with 1+ year experience in a quantitative field (e.g., Computer Science, Data Science, Applied Mathematics, Statistics, Engineering). * Hands-on experience developing and delivering agentic system components or autonomous AI features in production environments. * Strong Python programming skills, with a focus on modular, scalable, and maintainable code. * Experience with AWS cloud platform. * Familiarity with agentic frameworks (LangGraph, Google ADK, AutoGen) and integrating AI capabilities into business processes. * Ability to work collaboratively in agile, cross-functional teams and deliver on assigned workstreams. * Excellent problem-solving, communication, and documentation skills. * Exposure to agentic system design patterns, orchestration, and workflow automation. Preferred Qualifications, Capabilities, and Skills * Experience with Large Language Models (LLMs), GenAI, and retrieval-augmented generation (RAG). * Experience with distributed computing, cloud orchestration (Kubernetes, EKS), and MLOps tools. * Financial services industry experience. * Ability to design and evaluate autonomous system features aligned with business goals. * Experience with additional cloud services (EKS, S3, RDS, CloudFormation). * Experience with containerization (Docker), and infrastructure as code (Terraform). This role is 5 days a week in office full time. This role is not hybrid nor remote. This role is not eligible for any visa sponsorship or transfer support at this time.

Insight Global is looking for a mid-level Data Scientist. This person will sit remotely and responsibilities include: develop and implement data-driven solutions to improve underwriting performance. Experiment with various data sources and statistical modeling techniques. Automate statistical model monitoring and data analysis. Document and publish model monitoring reports utilizing markdown or similar software. Version, publish, and maintain model monitoring code utilizing SQL and python. Prototype, test, and deploy machine learning models into production. Collaborate with stakeholders across the organization to identify and address key business and technical challenges. Work with ambiguous data to derive meaningful insights and create actionable recommendations. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to ********************.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: **************************************************** Skills and Requirements - Minimum of 3-5 years of experience in an operations role within the insurance industry. - 2-5 years of experience in one or more of the following areas: - Risk Modeling - Geospatial Modeling - Statistical/ML Modeling - Proven experience building and deploying machine learning models in a production environment. - Demonstrated ability to solve complex data problems with limited initial information. - Experience working effectively in a collaborative environment with diverse stakeholders. - Exceptional attention to detail and commitment to data quality. - Hands-on experience with risk modeling techniques. - Data engineering experience - Expertise in deploying machine learning models using industry-standard tools and platforms. - Understanding of P&C insurance principles and practices. - Ability to navigate and extract insights from ambiguous and unstructured data. - Excellent communication and interpersonal skills for effective collaboration. - A meticulous approach to data analysis and model validation.

Data Scientist / Cloud Software EngineerLOCATIONSan Antonio, TX 78208CLEARANCETS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARYWe are looking for a talented Data Scientist / Cloud Software Engineer to join our team and contribute to the development of innovative cloud-based solutions that leverage advanced data analytics. In this role, you will work on designing and building scalable cloud architectures while applying data science techniques to drive insights and decision-making. The ideal candidate will have a strong understanding of both cloud infrastructure and data analytics, with a passion for solving complex problems and transforming large datasets into actionable solutions. If you enjoy working in a dynamic environment where technology meets business impact, we encourage you to apply and help shape the future of our data-driven products and services. *** Please note that our job openings are dynamic and can open or close quickly (much faster than we can publish). If you do not see an opening you are looking for, know that we see almost all types of positons. We strive to keep our listings up to date, but please consider submitting your current resume. Our team will work with you to identify the most recent opportunities that align with your skillset and career goals. We look forward to you joining our family. *** SIMILAR CAREER TITLESData Engineer, Cloud Data Scientist, Cloud Software Developer, Cloud Solutions Architect, Data Analyst, Cloud Architect, Machine Learning Engineer, Big Data Engineer, Cloud Platform Engineer, AI Engineer, ect.DEGREE (Level Desired) Bachelor's DegreeDEGREE (Focus) Computer Science, Data Science, Cloud Computing, Software Engineering, Information Technology, Statistics, Applied Mathematics, Artificial Intelligence, Information Systems, Electrical Engineering, Machine Learning, ect.ALTERNATE EXPERIENCEGeneral comment on degrees: Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree. Some contracts give 4-5 years experience credit for a Bachelor's Degree. Some contracts give 2 years experience credit for a Master's Degree. We will work with you to find the right fit.POSITION RESPONSIBILITIES Design and implement cloud-based data solutions Build scalable data processing workflows Develop and maintain machine learning models Collaborate with cross-functional teams to deliver insights Ensure data security and compliance Document and communicate technical solutions REQUIRED SKILLS Proficiency in Python or Java Experience with cloud platforms like AWS or GCP Expertise in big data tools like Spark or Hadoop Familiarity with machine learning frameworks such as TensorFlow or PyTorch Knowledge of SQL and NoSQL databases Ability to optimize and monitor cloud-based pipelines DESIRED SKILLS Familiarity with Infrastructure as Code (IaC) tools Knowledge of real-time data processing platforms Understanding of advanced statistical methods Experience with serverless computing models Knowledge of containerization tools like Docker or Kubernetes Ability to integrate machine learning models into production systems PLUG IN to CYMERTEK - And design your future... YOUR FOREVER CAREER STARTS HERE Are you looking for more than just a job? Join a company where employees are treated like family, and your career is built to last. We are a growing small business and a trusted federal contractor offering full scope consulting services in information technology, cybersecurity, and analyst workforce development. At our company, you come first. We're committed to creating an environment where you'll thrive professionally and personally. We provide meaningful, challenging work using cutting-edge technologies while investing in your growth and success. With direct access to company leadership, a laid-back and inclusive atmosphere, and exceptional work-life balance, you'll feel valued every day. We also believe in taking care of our family - both yours and ours. Our benefits are phenomenal, family-friendly, and designed with your well-being in mind. From employee and family events to career-long support, we create a community you'll never want to leave. Ready to make your next move the best one? Join us and experience the difference. BENEFITS Excellent Salaries Flexible Work Schedule Cafeteria Style Benefits 10% - 401k Matching (Vested Immediately) Additional 401k Profit Sharing 30 days Paid Leave/Holiday (No Use or Lose!) The day off for your birthday Medical/Dental/Vision - 100% employee coverage. ($1200 allowance - or a bonus) HSA/FSA AFLAC Long Term/Short Term Disability - 100% employee coverage. No cost to you. Life Insurance - 100% employee coverage. No cost to you. Additional Discretionary Life Insurance Paid Training No long, wordy reviews with tons of paperwork!!! Referral bonus program with recurring annual payments HOW TO APPLY Email us at ***************** or apply today: **************** Want to see what our employees think? Click here . EQUAL OPPORTUNITY EMPLOYER STATEMENT Cymertek is proud to be an Equal Opportunity Employer committed to fostering an inclusive and diverse workplace. We embrace and celebrate differences in our employees, recognizing that a diverse workforce enhances our creativity, innovation, and overall success. At Cymertek, employment decisions are made based on merit, qualifications, and business needs without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by applicable laws. We believe in creating an environment where all individuals are treated with respect and dignity, and where opportunities for professional growth and advancement are accessible to everyone, regardless of background or identity.

Senior AI/ML Data Scientist Rate: Negotiable Duration: 6 Month Contract to Hire This is a w2 role, we cannot offer visa sponsorship now or in the future Required: AI/ML Data Analytics, Python or R, AWS or Snowflake The primary purpose of this job is to develop and implement advanced analytics solutions and processes to drive business value. As a lead level professional on the Enterprise Data Team, this job develops, reviews and validates, and designs advanced analytics, AI/ML, and analytical model solutions. This role will drive key projects on their own and will work as the subject matter expert collaborating closely with cross-functional teams to provide guidance and leverage data analytics to unlock new opportunities, reduce expenses, and drive business value. Responsibilities * Provide expert guidance to the team on complex business problems, offering strategic insights and recommendations for advanced analytics solutions included analytics models and AI/ML solutions. * Conduct autonomous end-to-end more complex statistical model creation, including but not limited to identifying objectives, compiling data, sampling/prepping data, feature selection, model comparison/selection, deployment, and monitoring. Ensures adequate internal control processes around model development, implementation and validation are established. * Partner with other competency leads/developers, Data scientists, Data Analysts, Data stewards and support project planning, technical design, development, and solution deployment functions. * Provide guidance and mentorship to junior team members involved in major team projects such as model development and model validation, etc. * Establish consistent and robust model implementation processes across models with effective review and controls. * Lead the development, monitoring, and maintenance of advanced risk models using cutting-edge machine learning and statistical methods, proactively researching and recommending innovative approaches to enhance model performance and accuracy. * Establish standardized documentation processes and consistent model implementation practices across the team, fostering collaboration with stakeholders to enhance model implementation processes and ensure seamless integration into forecasting tools. * Collaborate with IT and data engineering teams to ensure efficient data management, data quality, and data integration for analytics projects. * Foster a culture of data-driven decision-making and promote the use of advanced analytics across the organization. * Communicate effectively with senior management, regulators, internal audit, and other stakeholders regarding model development and implementation, demonstrating strong interpersonal skills and the ability to convey complex concepts clearly and concisely. * Participate in regular interactions with stakeholders to improve model implementation processes, integrating feedback and requirements into forecasting tools for effective utilization and optimal performance. * Partner with cross functional teams to continually improve data governance, data quality, and data security in a multi-tenant environment; standardize data. Preferred Experience * ML Ops / ML Production Deployment * Containerization (Docker, Kubernetes) * Version control (Git) * API development and integration * CI/CD pipeline development and management * Monitoring and logging tools (Prometheus, Grafana, ELK stack) * Orchestration tools (Apache Airflow, Kubeflow) * Data pipeline development and management * Data governance and security best practices Qualifications Equivalent combination of education and experience is considered. * Ph.D. or Master's Degree. * Gen AI and LLM experience * Minimum of four (4) years of related work experience in building statistical models and advanced data analysis. * Proficiency in a broad range of advanced statistical techniques, including but not limited to Logistic Regression, Linear Regression, Time Series Analysis, Decision Trees, Cluster Analysis, Gradient Boosting Machine, and other machine learning algorithms required. * Advanced programming skills, with Python Or R. * 1+ years' Experience using cloud-native tool like AWS S3 and Snowflake Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico. Apex uses a virtual recruiter as part of the application process. Click here for more details. Apex Benefits Overview: Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Apex team member can provide. Employee Type: Contract Location: San Antonio, TX, US Job Type: Date Posted: January 7, 2026 Similar Jobs * Business Data Scientist III * Data Scientist * IT Manager Data Scientist * Senior Data Scientist * Scientist II / Sr. Scientist

Requirements Education Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science is required. Primary Responsibilities Engage in developing innovative solutions to address data analytics challenges, to collect large volumes of data from varying sources, perform data cleansing, transformation, interpretation, inferencing, create solutions to overcome mission challenges, and communicate with interested stakeholders. To succeed in this position; you need to be curious, creative, and tech-savvy. You need to stay up to date with data processing software and algorithms, have an in-depth understanding of statistics and mathematics and be proficient in writing data processing algorithms. You must be persistent and have excellent analytical and problem-solving skills. Devise strategies for extracting semantic value from large datasets. Develop conclusions from data using mathematics, statistics, computer science, and application specific knowledge and concisely communicate these conclusions. Provide informed recommendations regarding competing technical solutions through awareness of the constantly shifting collections, processing, storage and analytic capabilities and limitations. Required Skills/Experience Experience with SQL databases and data models (e.g., PostgreSQL , Amazon Aurora) Experience with programming in R, Python, Java Experience with NoSQL databases ( e.g., MongoDB, Accumulo) Experience designing data models and approaches Experience working in a cloud environment ( e.g., AWS, Azure) Experience with Linux Excellent interpersonal skills and ability to get along with data scientists, engineers, and customers at all levels Ability to work in a dynamic team-oriented environment, demonstrate teamwork and initiative, and function productively in a dynamic work environment Desired Skills/Experience Experience with programming in TensorFlow, PyTorch Experience with Hadoop, MapReduce Experience with Tableau Experience with Cognos Experience with designing, implementing, and using REST APIs Experience with RDF/OWL, SPARQL, and Semantic Web technologies Experience with Statistical and ML analytics and modeling (e.g., R, Spark, etc.) or other deep learning frameworks a plus Experience with Data catalogs and data management Ability to help visualize the data for analysis and to display results Why You Might Like This Job: You're tired of working for a massive organization. You want to work for an established company that values your stable career. You want to work with a team who loves their job and making cool stuff. You want to be part of a team focused on making a positive impact. You want to grow your skills in management or work toward becoming an expert. You want to have the option for career mentorship, both in technology and in business. You value a company with a strong culture of growth and support. Benefits: Employee Impact Program. Every employee has the opportunity to define and get rewarded for their contributions they can make toward the long-term health of the company, customer, and employee. This program in combination with our comprehensive time off and leave programs allow you to design a career and compensation program that enables near infinite flexibility while ensuring both company, customer, and individual health and prosperity. Comprehensive time off and leave programs: 31 Days (248 hours) of Paid Personal Time Off (PTO) for any vacation, holidays, illnesses, and birthdays Parental Leave: 40 Hours Bereavement Leave: 24 hours. Military Reserve Leave (up to 80 hours, see employee handbook for details). Jury Duty Leave 16 hours. Retirement: Unlimited 401K match up to 8% of your salary up to the federal maximum Health Insurance (Medical, Dental, Vision): Premium is 100% company paid (contact us for specific plan details). Health Savings Account (HSA): Interclypse contributes $750 for individuals and $1500 for families Vision Insurance Dental Insurance includes orthodontics coverage Life Insurance Accidental Death and Dismemberment Insurance Disability: Short-term and long-term disability coverage Educational support: reimbursement up to the federal max of $5,250 Company apparel: $200 for company apparel each year Social events: Holiday Party, Spring Picnic, Fall Picnic, happy hours and more Interclypse isn't your typical company. We strive to have a positive & transformational impact on our community, our industry, and individuals. We keep this focus through our motto: "Doing What is Right". Apply today to see how you can join our winning team and start down the career path that's right for you! EOE AA M/F/Vet/Disability: Interclypse is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status. The base salary range provided is not adjusted for geographic differences associated with where the work is being performed. Actual salaries will vary depending on factors including but not limited to location, candidate's experience and education/training, internal peer equity, and market and business consideration.

LABOR CATEGORY: Data Scientist Consultant, SME, and/or Manager (I, II, III or IV based on career ladder) JOB DESCRIPTION: Sehlke Consulting is seeking candidates with data science and decision analytics experience to support Defense Health Agency (DHA). Candidates will be qualified and capable of providing data science decision support in a business analytics environment. Candidates will be required to support analyses/analytics and informatics for data-driven decision making/data science. Candidates will need to be fluent with process improvement and performance planning, to include trend analysis, monitoring, dashboarding, statistical analysis, and analytical reporting. Duties and expectations include, but are not limited to the following: Use subject matter expertise to perform health studies using accepted data science techniques to address health service-related issues and identify trends and opportunities for improvement; Support informatics through research, analysis, and report data to support compelling, insightful, and effective recommendations and presentations; Develop prototypes of tools, programs, procedures, services, or databases to support the mission; Provide programmatic support to all initiatives, including SME coordination and on-site support, as directed; Support research and development necessary to create applicable methodologies for process improvement execution to support initiatives; Assist in development of local processes by providing research, analyses, and information for measurable outcomes for improvement procedures; Develop statistical analyses, analytical plans, predictive models, and maintain and utilize data management techniques to manage information flow; Develop and present visualization products (i.e., Tableau, QlikView, Microsoft BI, etc.) for descriptive, exploratory, inferential, diagnostic, predictive, mechanistic, and prescriptive analytics; Support database development and administration to ensure database integrity, optimize data support, develop process reports, and monitor operating system and user activities; As required, provide extended support to various time zone locations to achieve the client's mission. CLEARANCE REQUIREMENTS: Secret preferred EDUCATION REQUIREMENTS: Master's and/or bachelor's degree in Healthcare Administration, Computer Application, Computer Science, Public Health, Health Services Research, Epidemiology, Mathematics, Biostatistics, Statistics, Informatics, or related areas (specialized experience will be evaluated in lieu of bachelor's degree) preferred. CERTIFICATION REQUIREMENTS: Data Science and Statistical certifications preferred (i.e., Certified Analytics Professional (CAP), etc.) EXPERIENCE REQUIREMENTS: 2-15+ years of experience in related field; SAS database knowledge, SQL and other statistical programs, technical experience in data science and decision support, experience with Microsoft Office, Visio, Adobe Suite, Business Intelligence (BI) software preferred. Proven ability to synthesize disparate facts from multiple sources and coalesce into an accurate and useful analytic product, incorporating Service and MHS strategic goals for use by leadership in both tactical and strategic decision making. Demonstrated ability to provide accurate and timely analytical products containing well‐reasoned and cogent discussion points providing leadership with substantiated options or courses of action. Demonstrated ability to organize/participate/lead working groups to develop analytic products and byproducts or to develop/understand processes leading to effective optimization of analytic efforts. Demonstrated ability to communicate analytical discoveries and appropriate recommendations/mitigation strategies effectively and clearly to all levels of customers including Senior DHA leadership. Demonstrated advanced proficiency in Microsoft Office products PLUS additional software/hardware skills and capabilities. Ability to critically examine and evaluate, problem-solve. Demonstrated ability to undertake and complete multiple tasks with multiple deadlines simultaneously. Ability to deliver products on time, on schedule, within budget. Flexibility and ability to adapt to rapidly changing and often time-constrained environment. Experience working with Clinical Data Prior experience implementing or supporting clinical information systems (CHCS, AHLTA,and/or Essentris experience preferred, but not required) Experience in the area of medical/clinical/health data, health care data analysis and management. Healthcare Effectiveness Data and Information Set (HESIS) preferred but not required Experience with MHS data systems like MHS-Mart (M2) or similar MHS data sources ADDITIONAL REQUIREMENTS: Strong written and verbal communication skills, attention to detail, and organizational skills including optimal time management and ability to handle multiple tasks/projects. Ability to critically examine, evaluate, and problem solve. Ability to adapt to rapidly changing and time-constrained environment. To be eligible for employment, you must be fully vaccinated, except in limited circumstances where an employee is legally entitled to an accommodation, by November 22 nd or your start date, whichever is second in time. People are considered fully vaccinated for COVID-19 two weeks after they have received the second dose in a two-dose series, or two weeks after they have received a single-dose vaccine. If you think you are entitled to an accommodation, please advise your Sehlke liaison and they will consult our human resource leads for consideration. Founded in 2011, Sehlke Consulting is an Equal Opportunity Employer that values the strength diversity brings to the workplace. Individuals with Disabilities and Protected Veterans are encouraged to apply.

Title: Data Scientist Clearance: TS/SCI Responsibilities: * Assess existing data landscape and recommend improvements in data collection, storage, and processing methodologies. * Develop and implement data preprocessing and cleaning techniques to ensure data quality and consistency. * Design, develop, and apply advanced statistical and machine learning models to derive insights and support data-driven decision-making. * Visualize and communicate complex data analyses, trends, and patterns to depa1tment stakeholders through interactive dashboards and rep01ts. * Collaborate with subject matter expe1ts to identify and prioritize data analysis projects based on department objectives and available resources. * Ensure compliance with federal government data privacy and security requirements, including FISMA and GDPR, when working with sensitive datasets. * Continuously monitor and evaluate the performance of data models, recommending and implementing enhancements as needed. * Stay current with emerging trends and best practices in data science and apply these learnings to improve processes and outcomes Requirements: * Bachelor's degree in computer science, statistics, mathematics, or a related field and a minimum of 7 years' experience in data science, analytics, or a related field, with a focus on federal government environments * Certified Data Scientist (CDS) or Professional Data Engineer (PDE) * Proficiency in programming languages such as Python, R, or Java, and experience with data manipulation and analysis libraries (e.g., pandas, NumPy, or TensorFlow). * Expertise in statistical and machine learning techniques, including regression, clustering, and classification algorithms. * Strong data visualization skills, including experience with tools such as Tableau, Power BI, or D3.js. * Excellent communication, collaboration, and problem-solving skills. * Experience working with cloud-based data processing and analysis tools. * Experience working with data visualization tools such as Tableau or Power BI. * Active TS/SCI clearance required

The Data Technician Lead will be responsible for the physical installation of cabling, overseeing the work of others, surveying work sites to determining best installation practices, coordinator workflow within the unit, and providing on the job training to other technicians as needed. Essential Functions• Responsible for leading technical teams of varying sizes on small- and large-scale projects • Communication with PM on manpower and material needs • Communication with clients/customers• Serve as a liaison between office and field, communicating all information that is not classified as confidential • Develop project plan including required materials deliver schedules completion schedules manpower requirements and tool/equipment lists • Manage the process of tracking tools and materials to prevent loss • Adhere to safety protocols and complete appropriate documentation • Maintain housekeeping for a safe jobsite • Communication with other trades on jobsite• Ability to monitor project schedule and milestones and provide progress updates as needed• Ability to read and understand all applicable drawings sets including: o Architectural o AV o Electrical (as they relate to telecom) o Reflected Ceiling o Telecommunications o Overall site plans Minimum Qualifications• Proven ability to communicate effectively with both internal and external stakeholders. • Proficient in construction related software (Plan Grid, Bluebeam, etc.) • Knowing and willingness to push back on other trades in an effective and professional level. • Ability to resolve conflict both internal and external. • Ability to create a team atmosphere. • Complete understanding of blueprints and related architectural symbols. • High level of understanding of firestopping principles as it pertains to telecom pathways. • Familiarity with MS office suite and other software suites applicable to the role including but not limited to: o MS Excel o MS Outlook o MS Word o Bluebeam Knowledge, Skills and Abilities • All T1/T2/T3 requirements. • OSHA 30, preferred but not required for hire. Minimal OSHA 10. • Aerial lift certification. • Fall protection certification/training.

In a world of possibilities, pursue one with endless opportunities. Imagine Next! At Parsons, you can imagine a career where you thrive, work with exceptional people, and be yourself. Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we cultivate an innovative culture that empowers you to achieve your full potential. Unleash your talent and redefine what's possible. Job Description: Parsons is seeking a Biostatistician I to support Naval Medical Research Unit - San Antonio (NAMRU-SA) and its collaborating institutions in providing statistical expertise for research projects. NAMRU-SA's mission is to improve survival, operational readiness, and safety of DoD personnel engaged in routine and expeditionary operations. The Biostatistician I will provide statistical support to Principal Investigators (PIs) and research staff, ensuring scientifically-sound study designs and accurate data analysis. The role involves generating datasets, performing quality control checks, and assisting with statistical activities to ensure timely completion of studies. What You'll Be Doing: * Provide statistical support to Principal Investigators (PIs) in the writing of research proposals, IACUC protocols, IRB protocols, manuscripts, and technical reports. * Work with research staff to develop scientifically-sound study designs and write the statistical section of research protocols, manuscripts, and technical reports. * Generate datasets, tables, figures, and listings to support the analysis of data using SAS and/or approved statistical programs. * Perform quality control checks of SAS or other statistical programs in use. * Handle complex SAS programming issues as required. * Provide and/or verify sample size calculations, including power analyses. * Provide and/or verify calculation of results data, including statistical analysis selection and explanation of use (i.e., Student's t-test, ANOVA). * Provide assistance with quality control of statistical analyses in research documents (e.g., presentations, manuscripts, grants), including in support of command authored works clearance. * Assist with completion of statistical activities for study within timelines. What Required Skills You'll Bring: * Master's degree in Biostatistics or related field and one (1) year of research-related experience (including with SAS or other approved statistical program). * Demonstrated ability to provide statistical support and develop scientifically-sound study designs. * Proficiency in generating datasets and performing quality control checks using SAS or approved statistical programs. * Strong skills in handling complex SAS programming issues and verifying statistical analyses. * Excellent communication skills for assisting with statistical activities and supporting research documents. Security Clearance Requirement: None This position is part of our Federal Solutions team. The Federal Solutions segment delivers resources to our US government customers that ensure the success of missions around the globe. Our intelligent employees drive the state of the art as they provide services and solutions in the areas of defense, security, intelligence, infrastructure, and environmental. We promote a culture of excellence and close-knit teams that take pride in delivering, protecting, and sustaining our nation's most critical assets, from Earth to cyberspace. Throughout the company, our people are anticipating what's next to deliver the solutions our customers need now. We value our employees and want our employees to take care of their overall wellbeing, which is why we offer best-in-class benefits such as medical, dental, vision, paid time off, 401(k), life insurance, flexible work schedules, and holidays to fit your busy lifestyle! Parsons is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status or any other protected status. We truly invest and care about our employee's wellbeing and provide endless growth opportunities as the sky is the limit, so aim for the stars! Imagine next and join the Parsons quest-APPLY TODAY! Parsons is aware of fraudulent recruitment practices. To learn more about recruitment fraud and how to report it, please refer to ************************************************

The PALACE Acquire Program offers you a permanent position upon completion of your formal training plan. As a Palace Acquire Intern you will experience both personal and professional growth while dealing effectively and ethically with change, complexity, and problem solving. The program offers a 3-year formal training plan with yearly salary increases. Promotions and salary increases are based upon your successful performance and supervisory approval. Summary The PALACE Acquire Program offers you a permanent position upon completion of your formal training plan. As a Palace Acquire Intern you will experience both personal and professional growth while dealing effectively and ethically with change, complexity, and problem solving. The program offers a 3-year formal training plan with yearly salary increases. Promotions and salary increases are based upon your successful performance and supervisory approval. Overview Help Accepting applications Open & closing dates 09/29/2025 to 09/28/2026 Salary $49,960 to - $99,314 per year Total salary varies depending on location of position Pay scale & grade GS 7 - 9 Locations Gunter AFB, AL Few vacancies Maxwell AFB, AL Few vacancies Davis Monthan AFB, AZ Few vacancies Edwards AFB, CA Few vacancies Show morefewer locations (44) Los Angeles, CA Few vacancies Travis AFB, CA Few vacancies Vandenberg AFB, CA Few vacancies Air Force Academy, CO Few vacancies Buckley AFB, CO Few vacancies Cheyenne Mountain AFB, CO Few vacancies Peterson AFB, CO Few vacancies Schriever AFB, CO Few vacancies Joint Base Anacostia-Bolling, DC Few vacancies Cape Canaveral AFS, FL Few vacancies Eglin AFB, FL Few vacancies Hurlburt Field, FL Few vacancies MacDill AFB, FL Few vacancies Patrick AFB, FL Few vacancies Tyndall AFB, FL Few vacancies Robins AFB, GA Few vacancies Hickam AFB, HI Few vacancies Barksdale AFB, LA Few vacancies Hanscom AFB, MA Few vacancies Natick, MA Few vacancies Aberdeen Proving Ground, MD Few vacancies Andrews AFB, MD Few vacancies White Oak, MD Few vacancies Offutt AFB, NE Few vacancies Holloman AFB, NM Few vacancies Kirtland AFB, NM Few vacancies Nellis AFB, NV Few vacancies Rome, NY Few vacancies Heath, OH Few vacancies Wright-Patterson AFB, OH Few vacancies Tinker AFB, OK Few vacancies Arnold AFB, TN Few vacancies Dyess AFB, TX Few vacancies Fort Sam Houston, TX Few vacancies Goodfellow AFB, TX Few vacancies Lackland AFB, TX Few vacancies Randolph AFB, TX Few vacancies Hill AFB, UT Few vacancies Arlington, VA Few vacancies Dahlgren, VA Few vacancies Langley AFB, VA Few vacancies Pentagon, Arlington, VA Few vacancies Fairchild AFB, WA Few vacancies Warren AFB, WY Few vacancies Remote job No Telework eligible No Travel Required Occasional travel - You may be expected to travel for this position. Relocation expenses reimbursed No Appointment type Internships Work schedule Full-time Service Competitive Promotion potential 13 Job family (Series) * 1560 Data Science Series Supervisory status No Security clearance Secret Drug test No Position sensitivity and risk Noncritical-Sensitive (NCS)/Moderate Risk Trust determination process * Suitability/Fitness Financial disclosure No Bargaining unit status No Announcement number K-26-DHA-12804858-AKK Control number 846709300 This job is open to Help The public U.S. Citizens, Nationals or those who owe allegiance to the U.S. Students Current students enrolled in an accredited high school, college or graduate institution. Recent graduates Individuals who have graduated from an accredited educational institute or certificate program within the last 2 years or 6 years for Veterans. Clarification from the agency This public notice is to gather applications that may or may not result in a referral or selection. Duties Help 1. Performs developmental assignments in support of projects assigned to higher level analysts. Performs minor phases of a larger assignment or work of moderate difficulty where procedures are established, and a number of specific guidelines exist. Applies the various steps of accepted data science procedures to search for information and perform well precedented work. 2. Performs general operations and assignments for portions of a project or study consisting of a series of interrelated tasks or problems. The employee applies judgment in the independent application of methods and techniques previously learned. The employee locates and selects the most appropriate guidelines and modifies to address unusual situations. 3. Participates in special initiatives, studies, and projects. Performs special research tasks designed to utilize and enhance knowledge of work processes and techniques. Works with higher graded specialists in planning and conducting special initiatives, studies, and projects. Assists in preparing reports and briefings outlining study findings and recommendations. 4. Prepares correspondence and other documentation. Drafts or prepares a variety of documents to include newsletter items, responses to routine inquiries, reports, letters, and other related documents. Requirements Help Conditions of employment * Employee must maintain current certifications * Successful completion of all training and regulatory requirements as identified in the applicable training plan * Must meet suitability for federal employment * Direct Deposit: All federal employees are required to have direct deposit * Please read this Public Notice in its entirety prior to submitting your application for consideration. * Males must be registered for Selective Service, see *********** * A security clearance may be required. This position may require a secret, top-secret or special sensitive clearance. * If authorized, PCS will be paid IAW JTR and AF Regulations. If receiving an authorized PCS, you may be subject to completing/signing a CONUS agreement. More information on PCS requirements, may be found at: ***************************************** * More information on PCS requirements, may be found at: ***************************************** * Position may be subject to random drug testing * U.S. Citizenship Required * Disclosure of Political Appointments * Student Loan Repayment may be authorized * Recruitment Incentive may be authorized for this position * Total salary varies depending on location of position * You will be required to serve a one year probationary period * Grade Point Average - 2.95 or higher out of a possible 4.0 * Mobility - you may be required to relocate during or after completion of your training * Work may occasionally require travel away from the normal duty station on military or commercial aircraft Qualifications BASIC REQUIREMENT OR INDIVIDUAL OCCUPATIONAL REQUIREMENT: Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position. You may qualify if you meet one of the following: 1. GS-7: You must have completed or will complete a 4-year course of study leading to a bachelor's from an accredited institution AND must have documented Superior Academic Achievement (SAA) at the undergraduate level in the following: a) Grade Point Average 2.95 or higher out of a possible 4.0 as recorded on your official transcript or as computed based on 4 years of education or as computed based on courses completed during the final 2 years of curriculum; OR 3.45 or higher out of a possible 4.0 based on the average of the required courses completed in your major field or the required courses in your major field completed during the final 2 years of your curriculum. 2. GS-9: You must have completed 2 years of progressively higher-level graduate education leading to a master's degree or equivalent graduate degree: a) Grade Point Average - 2.95 or higher out of a possible 4.0 as recorded on your official transcript or as computed based on 4 years of education or as computed based on courses completed during the final 2 years of curriculum; OR 3.45 or higher out of a possible 4.0 based on the average of the required courses completed in your major field or the required courses in your major field completed during the final 2 years of your curriculum. If more than 10 percent of total undergraduate credit hours are non-graded, i.e. pass/fail, CLEP, CCAF, DANTES, military credit, etc. you cannot qualify based on GPA. KNOWLEDGE, SKILLS AND ABILITIES (KSAs): Your qualifications will be evaluated on the basis of your level of knowledge, skills, abilities and/or competencies in the following areas: 1. Professional knowledge of basic principles, concepts, and practices of data science to apply scientific methods and techniques to analyze systems, processes, and/or operational problems and procedures. 2. Knowledge of mathematics and analysis to perform minor phases of a larger assignment and prepare reports, documentation, and correspondence to communicate factual and procedural information clearly. 3. Skill in applying basic principles, concepts, and practices of the occupation sufficient to perform routine to difficult but well precedented assignments in data science analysis. 4. Ability to analyze, interpret, and apply data science rules and procedures in a variety of situations and recommend solutions to senior analysts. 5. Ability to analyze problems to identify significant factors, gather pertinent data, and recognize solutions. 6. Ability to plan and organize work and confer with co-workers effectively. PART-TIME OR UNPAID EXPERIENCE: Credit will be given for appropriate unpaid and or part-time work. You must clearly identify the duties and responsibilities in each position held and the total number of hours per week. VOLUNTEER WORK EXPERIENCE: Refers to paid and unpaid experience, including volunteer work done through National Service Programs (i.e., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community; student and social). Volunteer work helps build critical competencies, knowledge and skills that can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience. Education IF USING EDUCATION TO QUALIFY: If position has a positive degree requirement or education forms the basis for qualifications, you MUST submit transcriptswith the application. Official transcripts are not required at the time of application; however, if position has a positive degree requirement, qualifying based on education alone or in combination with experience, transcripts must be verified prior to appointment. An accrediting institution recognized by the U.S. Department of Education must accredit education. Click here to check accreditation. FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Additional information For DHA Positions: These positions are being filled under Direct-Hire Authority for the Department of Defense for Post-Secondary Students and Recent Graduates. The Secretary of the Air Force has delegated authority by the Office of the Secretary of Defense to directly appoint qualified post-secondary students and recent graduates directly into competitive service positions; these positions may be professional or administrative occupations and are located Air Force-Wide. Positions may be filled as permanent or term with a full-time or part-time work schedule. Pay will vary by geographic location. * The term "Current post-secondary student" means a person who is currently enrolled in, and in good academic standing at a full-time program at an institution of higher education; and is making satisfactory progress toward receipt of a baccalaureate or graduate degree; and has completed at least one year of the program. * The term "recent graduate" means a person who was awarded a degree by an institution of higher education not more than two years before the date of the appointment of such person, except in the case of a person who has completed a period of obligated service in a uniform service of more than four years. Selective Service: Males born after 12-31-59 must be registered or exempt from Selective Service. For additional information, click here. Direct Deposit: All federal employees are required to have direct deposit. If you are unable to apply online, view the following link for information regarding Alternate Application. The Vacancy ID is If you have questions regarding this announcement and have hearing or speech difficulties click here. Tax Law Impact for PCS: On 22-Dec-2017, Public Law 115-97 - the "Tax Cuts and Jobs Act of 2017" suspended qualified moving expense deductions along with the exclusion for employer reimbursements and payments of moving expenses effective 01-Jan-2018 for tax years 2018 through 2025. The law made taxable certain reimbursements and other payments, including driving mileage, airfare and lodging expenses, en-route travel to the new duty station, and temporary storage of those items. The Federal Travel Regulation Bulletin (FTR) 18-05 issued by General Services Administration (GSA) has authorized agencies to use the Withholding Tax Allowance (WTA) and Relocation Income Tax Allowance (RITA) to pay for "substantially all" of the increased tax liability resulting from the "2018 Tax Cuts and Jobs Act" for certain eligible individuals. For additional information on WTA/RITA allowances and eligibilities please click here. Subsequently, FTR Bulletin 20-04 issued by GSA, provides further information regarding NDAA FY2020, Public Law 116-92, and the expansion of eligibility beyond "transferred" for WTA/RITA allowances. For additional information, please click here. Expand Hide additional information Candidates should be committed to improving the efficiency of the Federal government, passionate about the ideals of our American republic, and committed to upholding the rule of law and the United States Constitution. Benefits Help A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new window Learn more about federal benefits. Review our benefits Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered. How you will be evaluated You will be evaluated for this job based on how well you meet the qualifications above. For DHA Positions: These positions are being filled under Direct-Hire Authority for the DoD for Post-Secondary Students and Recent Graduates. The Secretary of the Air Force has delegated authority by the Office of the Secretary of Defense to directly appoint qualified students and recent graduates directly into competitive service positions; positions may be professional or administrative occupations and located Air Force-Wide. Positions may be filled as permanent/term with a full-time/part-time work schedule. Pay will vary by geographic location. * The term "Current post-secondary student" means a person who is currently enrolled and in good academic standing at a full-time program at an institution of higher education; and is progressing toward a baccalaureate or graduate degree; and has completed at least 1 year of the program. * The term "recent graduate" means a person awarded a degree by an institution of higher education not more than 2 years before the date of the appointment of such person, except in the case of a person who has completed a period of obligated service in a uniform service of more than 4 years. Your latest resume will be used to determine your qualifications. Your application package (resume, supporting documents, and responses to the questionnaire) will be used to determine your eligibility, qualifications, and quality ranking for this position. Please follow all instructions carefully. Errors or omissions may affect your rating or consideration for employment. Your responses to the questionnaire may be compared to the documents you submit. The documents you submit must support your responses to the online questionnaire. If your application contradicts or does not support your questionnaire responses, you will receive a rating of "not qualified" or "insufficient information" and you will not receive further consideration for this job. Applicants who disqualify themselves will not be evaluated further. Benefits Help A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new window Learn more about federal benefits. Review our benefits Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered. Required documents Required Documents Help The following documents are required and must be provided with your application for this Public Notice. Applicants who do not submit required documentation to determine eligibility and qualifications will be eliminated from consideration. Other documents may be required based on the eligibility/eligibilities you are claiming. Click here to view the AF Civilian Employment Eligibility Guide and the required documents you must submit to substantiate the eligibilities you are claiming. * Online Application - Questionnaire * Resume: Your resume may NOT exceed two pages, and the font size should not be smaller than 10 pts. You will not be considered for this vacancy if your resume is illegible/unreadable. Additional information on resume requirements can be located under "

Join the HJF Team! HJF is seeking a Biostatistician II to provide biostatistical support for clinical and/or laboratory research. This involves performing statistical analysis on data collected from clinical trials and/or research studies. This position will be in support of the Naval Medical Research Unit San Antonio (NAMRU-SA) at Fort Sam Houston. NAMRU-SA is a major research and development center whose mission is to conduct gap driven combat casualty care, craniofacial, and directed energy research, to improve survival, operational readiness, and safety of Department of Defense (DoD) personnel engaged in routine and expeditionary operations. Its purpose is to provide non-personal support services to NAMRU-SA. Performance will include intramural research and development (R&D) support services for four (4) scientific directorates and their respective departments: Directed Energy Health Effects Directorate (DEHE), Combat Casualty Care and Operational Medicine Directorate (CCC&OM), Craniofacial Health and Restorative Medicine Directorate (CH&RM), and Research Services Directorate (RSD). This effort primarily entails investigative studies which involve planning, coordinating, designing, and executing experimental protocols that meet both directorate-level research objectives and the command mission. The Henry M. Jackson Foundation for the Advancement of Military Medicine (HJF) is a nonprofit organization dedicated to advancing military medicine. We serve military, medical, academic and government clients by administering, managing and supporting preeminent scientific programs that benefit members of the armed forces and civilians alike. Since its founding in 1983, HJF has served as a vital link between the military medical community and its federal and private partners. HJF's support and administrative capabilities allow military medical researchers and clinicians to maintain their scientific focus and accomplish their research goals. This position is contingent on contract award.