Data science internship jobs in Colorado Springs, CO - 28 jobs

Ignite is an ISO 9001:2015 and CMMI Services Level 3 certified, Service-Disabled Veteran-Owned Small Business (SDVOSB), headquartered in Huntsville, AL. By design, Ignite is a provider of professional services to customers in educational, federal, and commercial industries and in every action seeks to be the preeminent provider within this business space. Ignite upholds our values of competency, collaboration, innovation, reliability, and results through everything we do. Ignite is currently seeking a driven, detail-oriented Data Scientist to join our team supporting the Space Force Concepts and Technology Delta and Space Warfighter Analysis Center in Colorado Springs, Co. This position can be filled in either Colorado Springs, CO or Huntsville, AL. In this role you will develop and utilize data analysis tools to create complex data sets for evaluating the future of warfare in space. Job Requirements Responsibilities include, but are not limited to: * Development of models and simulation runs for logistics analysis. * Development of software tools for data ingestion, storage, processing and analysis. * Development of advanced Machine Learning (ML) and Artificial Intelligence (AI) architectures and use cases in support of customer needs. * Development of presentation materials and demonstrations for internal and external stakeholders. * Development of Open-Source Intelligence tools * Development of advanced visualizations for data and network analyses Job Requirements and Qualifications: * One to five years of experience in data science or related field. * Strong Python knowledge and familiarity * Experience using FastAPI and ETL pipelines * Experience with ReactJS /JavaScript * Git/GitLab experience with version control * Data visualization using Matplotlib/Seaborn * OSINT Tooling (Playwright/BeautifulSoup) * Familiarity with MongoDB or other NoSQL schema * Microsoft Office skills * Basic professionalism Security Clearance Requirements: Must have an active Secret Security Clearance or the ability to obtain one. Top Secret Clearance is a plus. Education Requirements: * Bachelor's of Science or Masters of Science in Data Science, Data Engineering, Statistics, Software Engineer, Artificial Intelligence or a related field. Other Requirements: Must be a US citizen and be able to obtain and hold an active Security Clearance Salary Range: $90k - $140k We are equal opportunity/affirmative action employers, committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status, or any other protected characteristic under state or local law. Accommodation Request: If you are a qualified individual with a disability or are a disabled veteran and are unable or limited in your ability to use or access our Careers sites as a result of your disability, you have the right to receive assistance in completing the application process. Please send your request to **********************

We are currently supporting one of clients, Spry Squared who are seeking a Data Analyst with System Administration and DBA skills. The analyst will support the development and maintenance of reference databases in support of critical kill-chain scenarios. The reference material will be researched and curated from a variety of open-source and intelligence production databases. Reference material will cover military equipment, weapons, delivery platforms and basing information. Responsibilities Analytical: Research open-source and intelligence databases Work with operators, subject matter experts and developers to transform data into information Database Administration: DB back-up and restoration, user permission assignment, performance optimization, accuracy audits, data import, development of queries for developers Qualifications MUST HAVE Top Secret security clearance Minimum 3-5 years applicable experience Basic understanding of Linux, DevOps processes and tools Independent research ability Willingness to Learn Relational database experience and General DB query capability Graph DB technology neo4j data platform Military Intelligence Logistics experience IT operations experience Education/Training/Experience Education: BS Computer Science, Logistics, IT (DBA); relevant experience acceptable as substitute Certifications: MCSA SQL Server MTA preferred (not required) Data Analyst Associate preferred (not required) Additional Information All your information will be kept confidential according to EEO guidelines. Salary: $100,000 - $150,000 annually Depending on Experience

360 IT Professionals is leading name in the software development industry, bring innovative business solutions to clients in Silicon Valley. We are always looking forward to bring aboard IT professionals and help them build a career in the IT Industry by providing the opportunity to work with our top clients in US. Job Description Responsible for developing and testing data bridges between Informix and Oracle databases. Will be responsible for validation of data mapping. Will be using the Oracle Data Integrator tool as well as SQL to move data between systems. May require a bachelor's degree in a related area and 3-5 years of experience in the field or in a related area. Familiar with a variety of the field's concepts, practices, and procedures (i.e., SQL, C++, HTML, CGI and JavaScript). Relies on experience and judgement to plan and accomplish goals. Performs a variety of complicated tasks. Qualifications Data Migration - 3+ years Data Conversion - 3+ years Data Mapping and Analysis - 3+ years Oracle Data Integrator (ODI) - 3+ years Stored Procedures - 2+ years PL/SQL - 2+ years Informix experience - 3+ years Oracle experience - 3+ years Extract, Transform, Load (ETL) concepts and tools - 3+ years Structured Query Language (SQL) - 3+ years PHP - 2+ years jQuery - 2+ years JavaScript - 2+ years Additional Information All your information will be kept confidential according to EEO guidelines.

Job Description What You'll be Owning: We are seeking a Data Scientist to support our NLP project focused on accurate and automatic tokenization of language data from spoken or written sources. In this role, you will develop automated solutions for annotating language data with parts of speech information and enhance existing models by evaluating their performance against human-generated annotations for both speech and text. Your contributions will be crucial in advancing our NLP capabilities and ensuring high-quality language processing. What You Must Have: Employ some combination (2 or more) of the following skill areas: Foundations: (Mathematical, Computational, Statistical) Data Processing: (Data management and curation, data description and visualization, workflow and reproducibility) Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations) Devise strategies for extracting meaning and value from large datasets. Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge. Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in Government data holdings. Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data. Effectively communicate complex technical information to non-technical audiences. Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly shifting Government collection, processing, storage and analytic capabilities and limitations. Bachelor's degree with 10 years of relevant experience Associate's degree with 12 years of relevant experience Bachelor's degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g. algorithms, programming, data structures, data mining, artificial intelligence). College-level requirement, or upper-level math courses designated as elementary or basic do not count. Note: A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university. Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g. Python)), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering. Experience in more than one area is strongly preferred. Active TS/SCI w/ poly Pay Range: At GRVTY, we understand that compensation is influenced by many factors-such as geographic location, federal contract labor categories, wage rates, prior experience, skillsets, education, and certifications. We're proud to offer a work environment that empowers our team to achieve a strong work-life balance. GRVTY provides competitive pay, comprehensive benefits, and meaningful opportunities for professional growth. Our benefits package is designed to support the well-being of our employees and their families, and includes coverage in areas such as healthcare, financial wellness, retirement planning, family assistance, continued education, and paid time off. Pay Range$155,000-$185,000 USD Why Choose GRVTY The toughest national security challenges demand vision and ingenuity, not just resources. We deliver mission and technical expertise to outpace our adversaries. We're purpose-built to tackle the most entrenched, systemic national security issues around the world. We partner with our customers to help them overcome challenges in every corner of technology and defense-including the ones still being explored. Our growing capabilities create complementary advantages, giving on-the-ground operations the edge they need to succeed. We muster everything we have to answer every challenge presented, every day of our lives. At GRVTY, we believe that when our employees thrive, our company thrives. That's why we offer a comprehensive and competitive benefits package designed to support your well-being, growth, and work-life balance. • Robust health plan including medical, dental, and vision • Health Savings Account with company contribution • Annual Paid Time Off and Paid Holidays • Paid Parental Leave • 401k with generous company match • Training and Development Opportunities • Award Programs • Variety of Company Sponsored Events EEO Statement GRVTY, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran and will not be discriminated against on the basis of disability. Anyone requiring reasonable accommodations should email ******************** or call ************ with requested details. A member of the HR team will respond to your request within 2 business days. Know Your Rights: Workplace Discrimination is Illegal (eeoc.gov) Please review our current job openings and apply for the positions you believe may be a fit. If you are not an immediate fit, we will also keep your resume in our database for future opportunities.

Please note that this position is contingent upon the successful award of a contract currently under bid. Nisga'a CIOPS provides hands-on experienced services to civilian and DoD programs worldwide. Delivering highly skilled, cleared personnel who provide services on five continents for a portfolio of customers. Summary: We are looking for a Mission Relevant Terrain - Cyber (MRT-C) Data Analyst in the Colorado Springs, CO area. Responsibilities Essential Job Functions: * Manages and administers tools that enable the organization to identify, document, and access intellectual capital and information content. * Inputs designated asset data from MRT-C into IKE, MADSS and/or SMADSS. * Uploads the required information into MADSS, SMADSS or another database directed designated government entities. * Ensuring information being uploaded into MADSS and SMADSS meets the BEI requirements outlined and approved by designated government entities. * Provides mission analysis support to USSF MRT-C teams to analyze USSF Mission Systems to determine cyberspace dependencies, security risks, mission vulnerabilities, and defense plan measures for each mission system. * Provides quality assurance for all data input into Mission Assurance Decision Support System (MADSS) or similar repositories. * Supports MRT-C analysis efforts. Qualifications Necessary Skills and Knowledge: * Must be able to understand and differentiate between critical and non-critical systems and networks, and capabilities that allow organizations to defend better, react faster, coordinate rapidly, prioritize efforts, and respond smarter to security events, increased risks, and/or operational directives. * Must have knowledge on how to perform assessments of systems and networks within a network or enclave and identify where those systems/networks deviate from acceptable configurations, enclave policy, or local policy. * Must be able to measure the effectiveness of defense-in-depth architecture against known vulnerabilities. * Must have knowledge and experience to support analysis tasks. * Must have extensive knowledge of Mission Assurance disciplines to include risk management, mission mapping, vulnerability assessments, and defensive cyber capabilities. * Must have a detailed understanding of mission analysis techniques, FMA-C methodologies, and mission dependencies. * Must have the ability to solve complex problems involving a wide variety of information systems. * Must be familiar with the purpose and use of the Mission Assurance Database Support System (MADSS) and other similar database repositories. * Excellent communication skills both verbal and written. * Good time management, prioritization, and multitasking abilities. * Excellent interpersonal skills to build strong relationships with colleagues. Minimum Qualifications: * Must have 4 years of experience performing mission analysis, information security technologies, and USSF mission capabilities. * Must have CISSP OR Security+. * TS/SCI Required * Ability to travel up to 25% Preferred Qualifications: * Bachelor's Degree from an accredited college or university * Experience with the Functional Mission Analysis - Cyber (FMA-C) * Experience with Space Force capabilities and related assets #CJ Pay and Benefits The salary range for this position is $110,000 to $130,000 annually. At Goldbelt, we value and reward our team's dedication and hard work. We provide a competitive base salary commensurate with your qualifications and experience. As an employee, you'll enjoy a comprehensive benefits package, including medical, dental, and vision insurance, a 401(k) plan with company matching, tax-deferred savings options, supplementary benefits, paid time off, and professional development opportunities.

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

Who You'll Work With As a modern technology company, our Slalom Technologists are disrupting the market and bringing to life the art of the possible for our clients. We have passion for building strategies, solutions, and creative products to help our clients solve their most complex and interesting business problems. We surround our technologists with interesting challenges, innovative minds, and emerging technologies. We are currently looking for a Senior Consultant or Principal level Security strategist with deep technical and functional expertise in Business Continuity and Disaster Recovery. What You'll Do * Platform Ownership & Architecture Strategy * Serve as end-to-end technical owner for OneTrust (Consent, Preference, DSAR, GRC, AI Governance) and associated privacy platforms * Evaluate current consent flows, identity/token usage, MDM integrations, and data pipelines * Identify architectural, privacy, and security gaps including exposed tokens, misaligned identifiers, and consent misconfiguration risks * Define and maintain standardized, compliant future-state consent and data architecture models * Establish OneTrust as the authoritative system of record for consent and preference data Privacy, Consent & Identity Architecture * Design consent-aligned identity and data flow architectures across: * CMS platforms (AEM, Salesforce Experience Cloud, etc.) * Marketing automation platforms (Salesforce Marketing Cloud, etc.) * Data warehouses and analytics platforms (Snowflake, etc.) * Ensure all pipelines enforce consent, lawful basis, minimization, and purpose limitation principles * Implement privacy-by-design and compliance-by-architecture across digital ecosystems Risk, Remediation & Governance Leadership * Lead remediation strategies for consent, privacy, and data integrity risks * Partner with Legal, Security, Compliance, and Marketing stakeholders on corrective actions * Define governance standards, operating models, and platform control frameworks * Translate regulatory requirements into technical control architectures (GDPR, CPRA/CCPA, global privacy laws) Delivery & Program Leadership * Own privacy architecture deliverables, roadmaps, and technical documentation * Lead stand-ups, working sessions, architecture reviews, and executive-level status reporting * Serve as the central coordination point between Legal, Security, Data, and Marketing teams What You'll Bring * 6+ years of experience in Privacy Engineering, Cybersecurity, Data Governance, or GRC architecture * Hands-on ownership of OneTrust implementations (Consent, Preference, DSAR, GRC, AI Governance) * Deep experience designing consent-aligned MarTech and data architectures * Proven ability to remediate privacy, identity, and consent architecture risks * Strong executive communication, program leadership, and cross-functional coordination skills Technical Domains * Consent & Preference Modeling * Identity Resolution & Tokenization * * Salesforce Marketing Cloud & Experience Cloud * Data Minimization & Purpose Limitation Controls * Cookie Consent * Consent & Preference Management * TPRM * Data Discovery * Privacy Impact Assessments (PIA/DPIA) * DSAR Automation Regulatory Expertise * GDPR * CPRA / CCPA * Global privacy regulations * Privacy-by-Design frameworks Certifications (Preferred) * OneTrust Certified Privacy Professional * Privacy Rights Automation * Cookie Consent & PIA Expert * BBA or equivalent in MIS, Cybersecurity, or Information Systems . About Us Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams across 52 offices in 12 countries collaborate with clients to bring powerful customer experiences, innovative ways of working, and new products and services to life. We are trusted by leaders across the Global 1000, many successful enterprise and mid-market companies, and 500+ public sector organizations to improve operations, drive growth, and create value. At Slalom, we believe that together, we can move faster, dream bigger, and build better tomorrows for all. Compensation and Benefits Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to invest in benefits that include meaningful time off and paid holidays, parental leave, 401(k) with a match, a range of choices for highly subsidized health, dental, & vision coverage, adoption and fertility assistance, and short/long-term disability. We also offer yearly $350 reimbursement account for any well-being-related expenses, as well as discounted home, auto, and pet insurance. Slalom is committed to fair and equitable compensation practices. For this role, we are hiring at the following levels and targeted base pay salary ranges: The targeted base salary pay range for Consultant is $86,000 to $120,000 and for Senior Consultant is $110,000 to $175,000. In addition, individuals may be eligible for an annual discretionary bonus. Actual compensation will depend upon an individual's skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time. We are committed to pay transparency and compliance with applicable laws. If you have questions or concerns about the pay range or other compensation information in this posting, please contact us at: ********************. EEO and Accommodations Slalom is an equal opportunity employer and is committed to attracting, developing and retaining highly qualified talent who empower our innovative teams through unique perspectives and experiences. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans' status, or any other characteristic protected by federal, state, or local laws. Slalom will also consider qualified applications with criminal histories, consistent with legal requirements. Slalom welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team or contact ****************************** if you require accommodations during the interview process.

Description & Requirements Maximus has an exciting opportunity for a Principal Data Scientist to join the Maximus AI Accelerator supporting both the enterprise and our clients. We are looking for an accomplished hands-on individual contributor and team player to be a part of the AI Accelerator team. You will be responsible for architecting and optimizing scalable, secure AI systems and integrating AI models in production using MLOps best practices, ensuring systems are resilient, compliant, and efficient. This role requires strong systems thinking, problem-solving abilities, and the capacity to manage risk and change in complex environments. Success depends on cross-functional collaboration, strategic communication, and adaptability in fast-paced, evolving technology landscapes. This position will be focused on strategic company-wide initiatives but will also play a role in project delivery and capture solutioning (i.e., leaning in on existing or future projects and providing solutioning to capture new work.) This is a remote position. Essential Duties and Responsibilities: - Make deep dives into the data, pulling out objective insights for business leaders. - Initiate, craft, and lead advanced analyses of operational data. - Provide a strong voice for the importance of data-driven decision making. - Provide expertise to others in data wrangling and analysis. - Convert complex data into visually appealing presentations. - Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners. - Understand the importance of automation and look to implement and initiate automated solutions where appropriate. - Initiate and take the lead on AI/ML initiatives as well as develop AI/ML code for projects. - Utilize various languages for scripting and write SQL queries. Serve as the primary point of contact for data and analytical usage across multiple projects. - Guide operational partners on product performance and solution improvement/maturity options. - Participate in intra-company data-related initiatives as well as help foster and develop relationships throughout the organization. - Learn new skills in advanced analytics/AI/ML tools, techniques, and languages. - Mentor more junior data analysts/data scientists as needed. - Apply strategic approach to lead projects from start to finish; Job-Specific Essential Duties and Responsibilities: - Develop, collaborate, and advance the applied and responsible use of AI, ML, simulation, and data science solutions throughout the enterprise and for our clients by finding the right fit of tools, technologies, processes, and automation to enable effective and efficient solutions for each unique situation. - Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital. - Contribute to efforts across the enterprise to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, LLMs and classical machine learning. - Maintain current knowledge and evaluation of the AI technology landscape and emerging developments and their applicability for use in production/operational environments Minimum Requirements - Bachelor's degree in related field required. - 10-12 years of relevant professional experience required. Job-Specific Minimum Requirements (required skills that align with contract LCAT, verifiable, and measurable): - 10+ years of relevant Software Development + AI / ML / DS experience - Professional Programming experience (e.g. Python, R, etc.) - Experience with AI / Machine Learning - Experience working as a contributor on a team - Experience leading AI/DS/or Analytics teams - Experience mentoring Junior Staff - Experience with Modeling and Simulation - Experience with program management Preferred Skills and Qualifications: - Masters in quantitative discipline (Math, Operations Research, Computer Science, etc.) - Experience developing machine learning or signal processing algorithms: - Ability to leverage mathematical principles to model new and novel behaviors - Ability to leverage statistics to identify true signals from noise or clutter - Experience working as an individual contributor in AI or modeling and simulation - Use of state-of-the-art technology to solve operational problems in AI, Machine Learning, or Modeling and Simulation spheres - Strong knowledge of data structures, common computing infrastructures/paradigms (stand alone and cloud), and software engineering principles - Ability to design custom solutions in the AI and Advanced Analytics sphere for customers. This includes the ability to scope customer needs, identify currently existing technologies, and develop custom software solutions to fill any gaps in available off the shelf solutions - Use and development of program automation, CI/CD, DevSecOps, and Agile - Experience managing technical teams delivering technical solutions for clients. - Experience working with optimization problems like scheduling - Experience with Data Analytics and Visualizations - Cloud certifications (AWS, Azure, or GCP) - 10+ yrs of related experience in AI, advanced analytics, computer science, or software development #techjobs #Veteranspage EEO Statement Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics. Pay Transparency Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances. Accommodations Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at **************************. Minimum Salary $ 156,640.00 Maximum Salary $ 234,960.00

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

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

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

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 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. 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.

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

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

At General Scrap Inc., our strength starts with our people! As a team we collaborate to solve problems, contribute ideas and challenge each other to ensure growth and ultimately success for the business and our employees. Job Description and Responsibilities The Operational Excellence Intern will be work alongside our analyst and leads in assisting with developing and implementing the corporate operational excellence strategy at an CF&I Recycling Business Systems (EBS) deployed unit with a focus on employee engagement and cultural transformation. In this role the successful candidate will support all activities assigned to the program office at a deployed unit. Successful candidates for the Operational Excellence Intern role will bring strong attention to detail, interest in change management, and process improvement. As an intern, you will gain exposure to continuous improvement, plant operations and can interact with employees across a broad range within CF&I Recycling. This position is a 3 month internship starting in late April/May, with the ability to extend based on workload. This position will operate out of our Colorado Springs, CO location. Assist with ideation sessions with cross-functional teams and track initiative progress and financial impact for unit Analyze data and monitor performance KPIs with units Identify and develop operational change activists while establishing a strong communication and engagement across unit Support of all other members of program office and execute activities provided by program office manager Help with training, coaching and mentoring sessions with shop personal Support all EBS activities within your assigned unit Working with site administrative support functions such Human Resources, Finance and Accounting, IT, to create a collaborative approach to EBS success Requirements Pursuing a degree in Industrial or Manufacturing Engineering, Engineering Technology, or another closely related engineering disciplines will be considered Strong interest in manufacturing and management Prior internships will be helpful, but not required Must be a self-starter with the ability to multi-task while maintaining accuracy and meeting deadlines Excellent written and verbal communication skills Knowledge or experience with Lean tools or training is a plus, but not required Highly proficient with Microsoft Office applications Ability to use analytical tools and strong understanding of statistics preferred Compensation $25 - 28 dependent upon academic level *Due to the nature of this position, the selected candidate will not be eligible for additional benefits and bonuses* Our total compensation package includes amazing benefits! Competitive wages and bonus opportunities Family medical, dental, and prescription coverage at minimal employee cost Short and long term disability programs Competitive retirement plans Flexible Spending and Health Savings Accounts Employer-provided and Voluntary Life Insurance options Paid vacation and recognized statutory holidays Apprenticeship and career advancement within the company Tuition reimbursement Wellness program All applicants must be eligible to work in the USA. While we thank all those who apply, only those being actively considered for employment will be contacted. Equal Opportunity Employer Orion Steel Group, L.L.C. is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or protected Veteran status. Orion Steel Group, L.L.C. is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. If you need special assistance or an accommodation while seeking employment, please e-mail ********************** or call: **************. We will make a determination on your request for reasonable accommodation on a case-by-case basis. Join a team that manufactures excellence, drives success and builds careers!

Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges-and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day-working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities for career growth, and a culture of innovation that embraces adaptability, collaboration, technical excellence, and people in partnership. If this sounds like the choice you want to make, then choose MITRE - and make a difference with us. The N926 Adversary Intelligence Department specializes in mission management, strategic foresight, test and evaluation, and Intelligence After Next, delivering forward-looking intelligence solutions to anticipate and address emerging threats. In this role, you will work to resolve the most difficult mission challenges faced by the Intelligence Community (IC). As an NDI intern, you will serve as a member of a team of MITRE professionals focused on leveraging various tools, data architectures and traditional/non-traditional data sources to solve critical intelligence gaps and be required to: * Provide direct support to Sponsors through technical recommendations and assistance with all-source analysis * Apply scientific methods and technical tradecraft across the full range of intelligence missions in support of global operations. * Develop, assess, and recommend adoption of advanced analytic techniques, including large language models, entity extraction/resolution, audio transcription, and other data analytic tools. * Participating as part of a MITRE team to define, resolve, and deliver solutions to the most pressing technical challenges faced by the IC * Support the development of a variety of analytical models to sponsor challenges * Work with teams to produce concrete short-term tangible outputs that make progress towards larger, impactful outcomes Basic Qualifications: * Pursuing a Bachelor's/Master's/PhD in the field of Public Policy, Security Studies, International Relations, Political Science or related * Must continue to be enrolled the semester following the internship. * Must have sustained excellence in academic performance. * Foundational knowledge in national security, data analytic techniques, including large language models, entity extraction/resolution, audio transcription, and other data analytic tools * Ability to obtain a U.S. government security clearance Preferred Qualifications: * Current active U.S. Government clearance (TS/SCI) with poly * Experience developing, assessing, and recommending adoption of advanced data analytic techniques, including large language models, entity extraction/resolution, audio transcription, and other data analytic tools. * Self-starting initiative and outstanding organizational / time management skills * Excellent written and oral communication * Strong interpersonal skills with Sponsor and with MITRE staff This requisition requires the candidate to have a minimum of the following clearance(s): None This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s): None Salary compensation range and midpoint: $46,500 - $58,000 - $69,500 Annual Work Location Type: Hybrid It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local or international law. MITRE intends to maintain a website that is fully accessible to all individuals. If you are unable to search or apply for jobs and would like to request a reasonable accommodation for any part of MITRE's employment process, please email ************************ for general support and *************************** for intern positions. This service is for individuals requiring reasonable accommodation requests. Please note that vendor solicitations will not receive a reply. Benefits information may be found here. Copyright 1997-2026, The MITRE Corporation. All rights reserved. MITRE is a registered trademark of The MITRE Corporation. Material on this site may be copied and distributed with permission only.

360 IT Professionals is leading name in the software development industry, bring innovative business solutions to clients in Silicon Valley. We are always looking forward to bring aboard IT professionals and help them build a career in the IT Industry by providing the opportunity to work with our top clients in US. Job Description Responsible for developing and testing data bridges between Informix and Oracle databases. Will be responsible for validation of data mapping. Will be using the Oracle Data Integrator tool as well as SQL to move data between systems. May require a bachelor's degree in a related area and 3-5 years of experience in the field or in a related area. Familiar with a variety of the field's concepts, practices, and procedures (i.e., SQL, C++, HTML, CGI and JavaScript). Relies on experience and judgement to plan and accomplish goals. Performs a variety of complicated tasks. Qualifications Data Migration - 3+ years Data Conversion - 3+ years Data Mapping and Analysis - 3+ years Oracle Data Integrator (ODI) - 3+ years Stored Procedures - 2+ years PL/SQL - 2+ years Informix experience - 3+ years Oracle experience - 3+ years Extract, Transform, Load (ETL) concepts and tools - 3+ years Structured Query Language (SQL) - 3+ years PHP - 2+ years jQuery - 2+ years JavaScript - 2+ years Additional Information All your information will be kept confidential according to EEO guidelines.

The Opportunity: As an analytics professional, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. If you care about moving a mission forward as much as advancing the field of data science, this is the opportunity for you. Your analytics, data science, AI, or machine learning knowledge and expertise, coupled with an original approach to your work, will help clients and stakeholders make sense of their data and encourage actionable results. We're looking for someone like you to steer complex data exploration and analytics projects through your experience with programming languages such as SQL, R, or Python, operationalizing models, data architecture, and cloud computing platforms for Civil Engineering within the Department of War. As an advanced data scientist and researcher on our team, you'll learn and apply innovative AI, and machine learning methodologies to make a real-world impact on requirements development and decision making. You'll grow your skills in data science, AI, machine learning operationalization process, and predictive modeling and shape the future of analytics. We'll keep you sharp and moving forward in your career, with access to online courses, the latest tools and methods and opportunities to develop industry-facing publications and presentations. You'll collaborate with a team that serves critical missions from end to end. Join us. The world can't wait. You Have: * 1+ years of experience in Tableau suite such as desktop or prep * 1+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining * Experience in the development of algorithms leveraging R, Python, or SQL * Experience analyzing structured and unstructured data sources * Experience developing predictive data models, quantitative analyses and visualization of targeted data sources * Experience with implementing Machine Learning (ML), Artificial Intelligence (AI), or Natural Language Processing (NLP) * Ability to work effectively in a collaborative environment * Ability to obtain a Secret clearance * Bachelor's degree in a Science, Technology, Engineering, or Mathematics (STEM) field Nice If You Have: * Experience with analyzing large-scale datasets * Experience leveraging statistical programming languages such as Python to develop predictive data models and quantitative analyses * Experience with Geographic Information Systems, including ArcGIS, QGIS, or Palantir * Knowledge of Military Services and Combatant Commands * Secret clearance Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $69,300.00 to $158,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Work Model Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. * If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility. * If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

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 Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at *****************************. 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 ways of thinking, 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