Data science internship jobs in Royal Kunia, HI - 54 jobs

ATA Services, Inc., is looking for a full-time Data Analyst for our client Hawaii State Hospital. See job details below: Duration: Long-term 45-710 Kea'ahala Road, Kaneohe, HI 96744-3597 Non-exempt Hourly Rate: $34.72 Purpose of Position: Identify and resolve data inconsistencies/discrepancies. Facilitates advisory/steering committee of data users to identify modifications needed to improve functionality of data systems. Minimum Requirements: Knowledge: Principles, practices, methods, and techniques related to program planning, developing, monitoring, and evaluating; use of relational databases for program implementation, monitoring, and evaluating; knowledge of procedures used for maintaining confidentiality; knowledge of procedures used for ensuring security and confidentiality of electronic data. Skills/abilities: Proficiency with large, complex relational databases; develop, design, and manage multiple databases; understand and complete complex oral and written instructions; write in a clear and organized manner; think critically; problem solve; plan, coordinate, and work on projects with others; implement quality control and assurance procedures for data management; interact with others in a professional manner. Education: Graduation from an accredited four-year college or university with a bachelor's degree. Experience: Two- and one-half years progressively responsible professional work experience which required a high degree of analytical skill. Such experience must have involved the use of large, complex relational databases for the gathering, evaluating, and analyzing facts and other pertinent information required to resolve problems and/or to determine and recommend appropriate courses of action. Such experience must have also provided knowledge of security and confidentiality policies and procedures

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. **Required Skills:** Data Scientist, Product Analytics Responsibilities: 1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches 2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses 3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends 4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations 5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions **Minimum Qualifications:** Minimum Qualifications: 6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 7. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent 8. 4+ years of work experience in analytics, data querying languages such as SQL, scripting languages such as Python, and/or statistical mathematical software such as R (minimum of 2 years with a Ph.D.) 9. 4+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution [including defining metrics, experiment, design, communicating actionable insights] **Preferred Qualifications:** Preferred Qualifications: 10. Master's or Ph.D. Degree in a quantitative field **Public Compensation:** $147,000/year to $208,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Job Description What You'll be Owning: We are actively searching for Data Scientists, located in Hawaii, to support our team. We have varying levels of Data Scientist roles, depending on years of experience and education. Performs tasks associated with Big Data Platform management, utilizes skills in programming languages, develops prototype algorithms as well as algorithm refinements, and supports data visualization and analytics. What You Must Have: Bachelor's Degree with 3 years of relevant experience OR Associates degree with 5 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 requirements, 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 What Would Be Nice to Have: Foundations: (Mathematical, Computational, Statistical) 2. 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 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, processing, storage and analytic capabilities and limitations. 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$125,000-$155,000 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.

Datavant is a data platform company and the world's leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format. Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world's leading life sciences companies, government agencies, and those who deliver and pay for care. By joining Datavant today, you're stepping onto a high-performing, values-driven team. Together, we're rising to the challenge of tackling some of healthcare's most complex problems with technology-forward solutions. Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare. As part of the Privacy Science team within Privacy Hub you will play a crucial role in ensuring that privacy of patients is safeguarded in the modern world of data sharing. As well as working on real data, you will be involved in exciting research to keep us as industry leaders in this area, and stimulating discussions on re-identification risk. You will be supported in developing/consolidating data analysis and coding skills to become proficient in the analysis of large health-related datasets. **You Will:** + Critically analyze large health datasets using standard and bespoke software libraries + Discuss your findings and progress with internal and external stakeholders + Produce high quality reports which summarise your findings + Contribute to research activities as we explore novel and established sources of re-identification risk **What You Will Bring to the Table:** + Excellent communication skills. Meticulous attention to detail in the production of comprehensive, well-presented reports + A good understanding of statistical probability distributions, bias, error and power as well as sampling and resampling methods + Seeks to understand real-world data in context rather than consider it in abstraction. + Familiarity or proficiency with programmable data analysis software R or Python, and the desire to develop expertise in its language + Application of scientific methods to practical problems through experimental design, exploratory data analysis and hypothesis testing to reach robust conclusions + Strong time management skills and demonstrable experience of prioritising work to meet tight deadlines + Initiative and ability to independently explore and research novel topics and concepts as they arise, to expand Privacy Hub's knowledge base + An appreciation of the need for effective methods in data privacy and security, and an awareness of the relevant legislation + Familiarity with Amazon Web Services cloud-based storage and computing facilities **Bonus Points If You Have:** + Experience creating documents using LATEX + Detailed knowledge of one or more types of health information, e.g., genomics, disease, health images + Experience working with or supporting public sector organizations, such as federal agencies (e.g., CMS, NIH, VA, CDC), state health departments, or public health research partners. Familiarity with government data environments, procurement processes, or privacy frameworks in regulated settings is highly valued. \#LI-BC1 We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated total cash compensation range for this role is: $104,000-$130,000 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here (************************************************** . Know Your Rights (*********************************************************************** , explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, (************************************************************** Id=**********48790029&layout Id=**********48795462) by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here (******************************************************************************************************* . Requests for reasonable accommodations will be reviewed on a case-by-case basis. For more information about how we collect and use your data, please review our Privacy Policy (**************************************** .

* 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 other 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 customer data holdings * Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist other 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 constantly shifting collection, processing, storage and analytic capabilities and limitations Required Skills: * US Citizens Only * Active TS/SCI Clearance and Polygraph required * Information Assurance Certification may be required * Minimum of ten (10) years of relevant experience and a Bachelor's degree or twelve (12) years of relevant experience and an Associate's degree required. * Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science * 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 two of more of the following: * 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 * Software engineering Salary Range: $55,155.21 - $121,253.45

Ho'olaulima Government Solutions LLC (HGS) is a Small Business Administration-certified, Native Hawaiian Organization-Owned, 8(a) Small Business which provides services and solutions in the areas of Cybersecurity Services, Information Technology Services, Professional and Technical Services, Environmental Services, and Healthcare Services to the Department of Defense and other Federal agencies. HGS is a wholly-owned subsidiary of the Kina'ole Foundation, a 501(c)(3) non-profit established to benefit Native Hawaiian communities. You will receive a comprehensive benefits package that includes: Health insurance Dental insurance Life insurance Professional training reimbursement 401K Disability insurance ...and much, much more! Job Description: The Storage and Data Protection Analyst will have demonstrated experience in testing/developing virtualization in large, multi-national deployments to include the storage, network, server (applications and database) aspects and the software required to centrally manage this architecture. Duties and Responsibilities: Manage and maintain a virtualized Multi-Tenant Data Center and various secure hybrid Cloud Computing solutions, virtualized storage, networks, and desktops in the Pacific Theater or other theater-wide DoD deployments to include server-accelerating RAM-based VDI data storage, with server RAM as the primary storage tier and virtualized server acceleration. Develop operational checklists as required. Manage virtual capabilities, to include the storage, network, server (applications and databases) aspects and the software required to centrally manage this architecture. Software may include VMWare vSphere, Citrix Xen, and Microsoft Hyper-V platforms and extends to desktop management and deployment of the VDI otherwise referred to Thin, Zero, Multi-Level, or Trusted Thin Clients. Manage networks, servers, and storage on SIPRNet to include configuration of said equipment to Air Force specifications. Experience should include leading a team in the seamless connection to a Virtual Desktop Environment. Build test and training plans for Airmen to manage, the complex backend virtual environment to include Cisco's Unified Computing Systems (UCS), EMC VNX storage area network, VMware vCenter, and VMware Horizon View Manage storage area networks (SAN) to include EMC or other brands, with the broad under-standing of other SAN leaders to include NetApp. Should possess the broad understanding of Hyper-Converged solutions such as Nutanix and EVO. Should possess a broad understanding of pure flash storage VDI-specific solutions such as Tintri and Nimble Storage. Provision virtual servers to support Unified Computing (i.e. virtual call managers) and Share-Point deployments to include the conversion from Physical-to-Virtual (P-to-V) on a virtualized data center platform. Build test and training plans to train Airmen to provision, Zero/Thin/Multi-level/Trusted Thin Clients to include experience in deploying this capability on existing infrastructure (category 5e cable and fiber). Manage virtual capabilities where bandwidth and access issues create unique challenges. This includes large areas and land masses that are disconnected and separated. Provide customer support and troubleshooting for virtual servers and VDI client hardware and software and coordinating with Government Network Control Centers and Higher Headquarters. Plan and coordinate virtualization configurations with enterprise technicians and network infrastructure configurations with the local base. Plans and coordinates servers chosen for physical to virtual at the base with base enterprise technicians and A3/6 personnel. Manage Teradici PCoIP technologies. The PCoIP compresses, encrypts and rapidly transports image pixels to PCoIP end-user devices. They in turn decrypt, decompress and display the image on a screen. Includes adding new devices, updating firmware, adding policies. Perform daily VDI Health Checks which includes the systematic and daily monitoring of the backend infrastructure and desktop performance. This includes demonstrated proficiency with Stratusphere or like technology. Stratusphere provides the visibility required to more effectively manage desktop performance and the user experience. Stratusphere provides the visibility necessary for machine boot and login process troubleshooting and optimization, health checks, platform validation, and more streamlined management functionality of the host environment. much, much more. Perform installation, configuration, and management of Atlantis iLio or like technology. iLio allows a datacenter to use Server RAM as primary storage as opposed to traditional storage solutions. Manage VMWare vRealize, which provides complete visibility in one place, across applications, storage and network devices, with an open and extensible platform supported by third-party management packs. This will help enable optimum performance and availability of applications and infrastructure. Perform first line trouble-shooting activities (if required) for installed environments in conjunction with remote enterprise technicians and local base technicians. Performs other related duties as assigned. Education/Certification Requirements: Possess Systems Experience managing, implementing, and configuring devices such as: NetApp E-Series, Avamar M1200/Virtual Edition, DataDomain DD9300/6300, SolidFire Storage, EMC VNX5600/5400/5200/5300/5100, Celerra NS-120/480 File Servers, Cisco UCS 5100 Series B/C Series Servers, Cisco UCS 6248/6296, Cisco MDS 9120/9140/9134/9148/9396s switches, Quantum ADIC i500/i2000 Tape Libraries, DataDomain DD600, HP Blade System C7000, HP BL460, EMC Symmetrix 8530, 8830, Connectrix (Brocade), CLARiiON CX-500/700, EMC RecoverPoint, Dell Servers and Work-stations, HP Servers and Workstations, IBM AS/400 Possess Software Experience managing, implementing, and configuring technologies such as: SecureView 2.X, VMware vSphere 4.X/5.X/6.X Horizon View5.X/6.X/7.X, CTERA File Services Platform, NetApp Storage Grid, Ivanti Appsense, Avamar, Liquidware Labs Stratusphere UX/Profile Unity, Atlantis Compu-ting ILIO, Teradici PCoIP Management Console, Windows 95, 98, 2000, XP, Vista, 7/8/10, Server 2000/2003/2008/2012, Microsoft Active Directory 2000 and 2003, SMS 2.0, 2003, Exchange 5.5, 2003, 2008, Blackberry Enterprise Server 3.6, 4.1, Microsoft Office, EMC Legato Networker, Commvault Simpana 7/8/9/10, EMC Control Center, EMC Navisphere, EMC Unisphere, EMC Replication Manager/SE, Time Finder, and Cisco Device and Fabric Manager, Remedy Action Request System. Required to have certification such as Cisco CCIE Data Center, Cisco CCNP Data Center, or NetApp NCDA Active Secret clearance. HGS is an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Data Management: Reviews data sources and preps needed data. Identifies and communicates issues, limitations, and risks with data sets/reports. Identifies existing and new data sources. Performs data prototyping, if necessary, to agree what data can/not be used. Preps data for use in analysis, goes back to source if problems are found, and identifies other options/alternatives if problems cannot be resolved. Performs review of data to ensure completeness/accuracy/timeliness for the purpose of the analysis. Maintains tables that are necessary for department or corporate reporting. Ensures existing, approved, corporate tools used can accept/integrate the data. Works with external data contacts to resolve issues related to the delivery or receipt of data. Analytics and Technical Acumen: Performs required analysis, applies accepted statistical methodologies where applicable, and documents the process that was followed, and data sources/tools used. Consults with customers on the appropriate analytical approach, identifies benefits/risks, and makes appropriate suggestions to arrive at the desired outcome. Determines what kind of analytics will be performed (descriptive, predictive, prescriptive) and defines/documents overall framework. Understands various internal and external data sources available; uses expertise to utilize the most appropriate data source. Utilizes appropriate tools to load, integrate, and analyze data. Conducts analysis and documents findings, identifies unexpected anomalies and root cause (if possible) and determines if analysis can continue, identifies alternatives if anomalies cannot be resolved. Ensures reproducibility of outcomes. Documents entire analysis process, including business problem, data sources, methods and tools used, project reference, and outcomes. Implements pre-emptive actions, where possible. Gains the needed skills/knowledge when new technologies arrive and provides translation between old and new. Analytics/Reporting Tool Development & Training: Lead in the development and delivery of analytics/reporting tools for internal and external customers. Types of projects include the development, maintenance, and enhancements of self-service reporting tools and regular or ad hoc reporting. Applies a whole company perspective, draws upon previous knowledge and experience, and -- where necessary -- research new/other approaches to identify and agree upon objectives, approach, and success measures. Gathers customers requirements and translates them into actionable analytics and reporting tools. Defines delivery milestones and negotiates timeframes, monitors progress and periodically notifies customer of status. Provides training to customers on new tools/reporting capabilities Effective Communication: Prepare/present findings that are informative and audience appropriate. Reviews findings and outcomes with customer, ensures business problem/objectives have been met, and prepares documentation of the analysis. Where necessary, manage divergent views in the audience and advises the internal/external customer on any recommendations or options that will facilitate data and analysis driven decision making. Prepares a presentation of the analysis, process followed and reviews it with the customer to ensure the results are audience appropriate. Performs all other miscellaneous responsibilities and duties as assigned or directed. #LI-Hybrid

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 "

Title: GEAR UP Data Analyst 0079771T Hiring Unit: VP for Academic Strategy, Hawaii P-20 Band: A, B Salary: salary schedules and placement information Additional Salary Information: PBA, minimum $4,458/mo. PBB, minimum $5,434/mo. Full Time/Part Time: Full Time Temporary/Permanent: Temporary Funding: Federal Other Conditions: Renewal dependent on satisfactory performance and availability of funds. Duties and Responsibilities Pay Band A: * *Develops and maintains a knowledge base of data from various source systems, such as the Hawaii State Department of Education, unemployment insurance, workforce training, and the University of Hawaii as part of the statewide longitudinal data system. * *Serves as a resource to requestors of data from the Hawaii Data eXchange Partnership (DXP) by providing functional/technical information on data elements, inquiries on the data request processes, and appropriateness of data based on proposed research or policy questions. * *Assists with providing data validation to maintain data accuracy and troubleshoot complex data problems. * *Assists with providing cross-tabulations or other analyses using pivot table functionality or other statistical software. * Assists with providing comprehensive reporting and written summaries. * Designs, creates, and updates statistical tables and graphs or other visual representations of data; incorporate tables and graphics in report format to support relevant findings. * Assists with designing and providing presentations which address stakeholders' information needs at the appropriate level of data use ability. * Works collaboratively with partner agencies and other stakeholders to improve the quality and comprehensiveness of data collection and reporting efforts as well as the timeliness of reporting and its usefulness to end users. * Assists with facilitating and engaging stakeholder groups in order to develop, revise, and implement new data products that serve stakeholder information needs. * Other duties as assigned. Pay Band B: * *Develop & maintain a knowledge base of data from various data source systems, such as the Hawaii State Dept of Education, career technical education, college & career, & career readiness metrics, & UH as part of the statewide longitudinal data system. * *Provide analytic support for the GEAR UP annual performance report and other related research or evaluation projects. * *Participate in data collection activities related to GEAR UP programs and interventions. * *Participate in meetings and communications between the GEAR UP evaluation team and external evaluators. * *Serve as resource to requestors of data from Hawaii Data eXchange Partnership by providing functional/technical information on data elements, inquiries on data request processes, & appropriateness of data based on proposed research or policy questions. * Provide data validation to maintain data accuracy and troubleshoot complex data problems. * *Perform complex queries to extract data for ad hoc data requests/studies and use of pivot table functionality or statistical software to create cross-tabulation and other statistical analyses. * Provide comprehensive reporting and written summaries. * Design, create and update statistical tables and graphs or other visual representations of data; incorporate tables and graphics in report format to support important findings. * *Conduct policy analyses about student enrollment, demographics, performance and outcomes related to the transition of cohorts along the education to workforce pipeline. * Design and execute presentations that are crafted to provide relevant information based on audience or stakeholder needs. * Work collaboratively with internal and external stakeholders to improve the quality and comprehensiveness of data collection and reporting efforts as well as the timeliness of reporting and usefulness to end users. * Other duties as assigned * Denotes Essential Functions Minimum Qualifications Pay Band A: * Possession of a baccalaureate degree in educational psychology, psychology, statistics, or related field, with coursework in statistics, research methods, tests and measurements, or related subject areas and a minimum of 1 year of progressively responsible professional experience with responsibilities for administrative, institutional or program analysis; or any equivalent combination of education and/or professional work experience which provides the required education, knowledge, skills and abilities as indicated. * Functional knowledge of principles, practices, and techniques in evaluation, research, and data analysis demonstrated by knowledge, understanding and ability to apply concepts, terminology. * Functional knowledge and understanding of principles, theories, federal and state laws, rules, regulations, and systems associated with academic research, analyses, data governance, and individual/educational confidentiality and privacy. * Demonstrated ability to recognize problems, identify possible causes and resolve the full range problems that may occur in the area of evaluation, research, and data analysis. * Demonstrated ability to understand oral and written documentation, write reports and procedures, and communicate effectively in a variety of situations. * Demonstrated ability to establish and maintain effective working relationships with internal and external organizations, groups, team members and individuals. * Demonstrated ability to operate a personal computer and apply word processing software. * Experience with facilitating and engaging large and small groups to obtain stakeholder feedback relative to established goal(s) and objective(s) for the meeting. * Experience with managing project activities and meeting logistics while meeting project deadlines. * Experience with creating tables/graphs or other visual representations of data in order to present important/relevant findings in reports, presentations, or written summaries. * Experience in developing and providing presentations through different modalities (e.g., in-person, or on-line platforms) to diverse audiences. * Experience in writing and editing of reports and other types of publications. * Ability to do detailed and accurate work. Pay Band B: * Possession of a baccalaureate degree in educational, psychology, statistics, information science, or related field, with coursework in statistics, research methods, tests and measurements, or related subject areas and 3 years of progressively responsible professional experience with responsibilities for administrative, institutional or program analysis; or any equivalent combination of education and/or professional work experience which provides the required education, knowledge, skills and abilities as indicated. * Considerable working knowledge of principles, practices and techniques in the evaluation or research and data analysis and the ability to apply these methods and techniques to a diverse range of data and administrative systems and processes as demonstrated by the broad knowledge of the full range of pertinent standard and evolving concepts, principles and methodologies. * Considerable working knowledge and understanding of applicable federal and state laws, rules, regulations and theories and systems associated with the protection of individual confidentiality and privacy policies such as the Family Educational Rights and Privacy Act (FERPA). * Demonstrated ability to resolve wide ranging complex problems through the use of creative reasoning and logic to accurately determine the cause of the problems and the resolution of the problems in an effective, innovative and timely manner. * Demonstrated ability to interpret and present information and ideas clearly and accurately in writing, verbally and by preparation of reports and other materials. * Demonstrated ability to establish and maintain effective working relationships with internal and external organizations, groups, team leaders and members, and individuals. * Demonstrated ability to operate a personal computer and apply word processing software. * For supervisory work, demonstrated ability to lead subordinates, manage work priorities and projects, and manage employee relations. * Demonstrated ability to extract information from a dataset and identify and report important findings. * Demonstrated ability to write reports and clear, concise written summaries. * Demonstrated ability to design, create, and update statistical tables and graphs or other visual representations of data; incorporate these tables and graphics in report format to support important findings. * Demonstrated ability to utilize a personal computer and apply word processing and spreadsheet software to design, create and update tables/graphs which illustrate information clearly in order to present important/relevant findings. * Ability to do detailed and accurate work. Desirable Qualifications Pay Band A: * Demonstrated ability to perform statistical analysis of data using software such as SPSS, SAS or R. * Knowledge of SQL, PostgreSQL, MySQL, or Python Pay Band B: * Master's degree in educational psychology, psychology, economics, educational administration or related field, with coursework in statistics, methodology, research methods, tests and measurements, or mathematics. * Demonstrated ability to perform moderately complex queries to extract data from complex tables and reporting modules in order to create new datasets specific to policy or research question, or researcher request. * Demonstrated ability to develop, implement & manage a data element dictionary, end user glossary, & other metadata mgmt tools to create a resource to facilitate development of reports, ad hoc data requests & mapping of data across data systems & sectors. * Demonstrated ability with quantitative and qualitative methodologies. * Demonstrated ability to conduct data mapping from various source systems from early childhood program and service providers, education programs, and applicable state agencies. * Experience with analytics with higher education data. * Experience with analytics with unemployment insurance or other workforce data. * Experience with analytics with K-12 education data. * Ability to perform statistical analysis of data using software such as SPSS, SAS or R. * Knowledge of SQL, PostgreSQL, MySQL, or Python. * Knowledge of data warehousing or longitudinal data systems. To Apply: Click on the "Apply" button on the top right corner of the screen to complete an application and attach required documents. Applicant must submit the following: (1) resume, (2) cover letter indicating interest in the position and how the minimum and desirable qualifications of the position are met, (3) the names and contact information (telephone number and email addresses) of at least three professional references, and (4) copies of educational transcripts with CONFIDENTIAL DATA (ie. social security number, birth date, etc.) REDACTED. If requested transcripts are unobtainable by closing date, please indicate so where transcripts are required as an attachment. You will have a grace period of 7 days from closing date (02/04/2026) to email copies of your transcripts to *******************. Official transcripts will be required if selected to fill the position. INCOMPLETE APPLICATIONS WILL NOT BE CONSIDERED. Note: If you have not applied for a position before using NeoGov, you will need to create an account. Inquiries: Erika Hall, ************, ******************* EEO, Clery Act, ADA The University of Hawai'i is an Equal Opportunity Institution and is committed to a policy of nondiscrimination in employment, including on the basis of veteran and disability status. For more information, visit: ******************************************** Employment is contingent on satisfying employment eligibility verification requirements of the Immigration Reform and Control Act of 1986; reference checks of previous employers; and for certain positions, criminal history record checks. In accordance with the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act, annual campus crime statistics for the University of Hawai'i may be viewed at:***************************************************** or a paper copy may be obtained upon request from the respective UH Campus Security or Administrative Services Office. In accordance with Article 10 of the unit 08 collective bargaining agreement, bargaining unit members receive priority consideration for APT job vacancies. As a result, external or non BU 08 applicants may not be considered for some APT vacancies. BU 08 members with re-employment rights or priority status are responsible for informing the hiring unit of their status. Accommodation Request: The University of Hawai'i complies with the provisions of the Americans with Disabilities Act (ADA). Applicants requiring a reasonable accommodation for any part of the application and hiring process should contact the EEO coordinator directly. Determination on requests for reasonable accommodation will be made on a case-by-case basis. For further information, please refer to the following link: *********************************************************

Data Scientist / Cloud Software EngineerLOCATIONHonolulu, HI 96815CLEARANCETS/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.

At Wyetech, you'll be at the center of an award-winning corporate culture, breaking technological barriers and solving real-world problems for our federal government customers. We are committed to hiring the best of the best, and in return, we offer a world-class, truly unique employee experience that is rare within our industry. 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 Agency 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 Agency collection, processing, storage and analytic capabilities and limitations. Employ some combination (2 or more) of the following skill areas:I. Foundations: (Mathematical, Computational, Statistical) 2. Data Processing: (Data management and curation, data description and visualization, workflow and reproducibility)3. Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations) Due to federal contract requirements, United States Citizenship and position appropriate security clearance is required. (e.g. Active TS/SCI security clearance with agency appropriate polygraph). Required Qualifications TS/SCI with agency appropriate poly Bachelor's Degree with 10 years of relevant experience Associates 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. A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university. Relevant Experience 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. The Benefits Package Wyetech believes in generously supporting employees as they prepare for retirement. The company automatically contributes 20% of each employee's gross compensation to a Simplified Employee Pension (SEP) IRA, with no requirement for employee matching. All contributions are fully vested from day one, ensuring immediate ownership of retirement funds. Additional benefits include: Wyetech provides a generous PTO plan of up to 200 hours annually, aligned with applicable state leave regulations. Employees have the flexibility to adjust their PTO allocation at the start of each calendar year, ensuring it meets their evolving needs. Full-time employees have the option to participate in a variety of voluntary benefit plans including: A Choice of Medical Plan Options, some with Health Savings Account (HSA) Vision and Dental Life and AD&D Benefits Short and Long-Term Disability Hospital Indemnity, Accident, and Critical Illness Insurances Optional Identity Theft and Legal Protection Services Company Environment & Perks Employee Referral Bonus Eligibility up to $10,000 Mobility Among Wyetech-supported Contracts Various contract and work locations throughout Maryland, Virginia, Colorado, Texas, Utah, Alaska, Hawaii and OCONUS Various team-building events throughout the year such as: monthly lunches, summer company picnic, and an annual holiday party. Employees receive two complementary branded clothing orders annually. Wyetech, LLC 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. Affirmative Action Statement: Wyetech, LLC is committed to the principles of affirmative action in all hiring and employment for minorities, women, individuals with disabilities, and protected veterans. Accommodations: Wyetech, LLC is committed to providing an inclusive and accessible hiring process. If you need any accommodations during the application or interview process, please contact Brittney Wood. at 844-WYETECH x727 or ********************. We are happy to provide reasonable accommodations to ensure equal access to all candidates.

Seeking Data Scientist that performs tasks associated with Big Data Platform management, utilizes skills in programming languages, develops prototype algorithms, as well as algorithm refinements, and supports data visualization and analytics. The Level 2 Data Scientist shall possess the following capabilities: Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming, data mining, advanced statistical analysis, advanced mathematical foundations, artificial intelligence, workflow and reproducibility, data management and curation, data modeling and assessment, experience as a data scientist working to support a single or multiple domain areas, and/or software engineering. Experience in more than five areas is strongly preferred. Developing data analytics and automating analytic workflows for X14 Data Parsing Tool knowledge needed Data flow knowledge needed Python needed Qualifications: Bachelor's degree and 3 years' relevant experience OR Associate's degree plus 5 years' experience may be considered for individuals with in-depth experience that is clearly related to the position. Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. A degree in a related field, a degree in the physical/hard sciences, or other science disciplines with a substantial computational component may be considered if it includes a concentration of coursework in advanced mathematics and/or computer science. TS/SCI with polygraph is required. Job Posted by ApplicantPro

Responsibilities include performing statistical analysis, data mining, and retrieval processes on internal and external data to identify trends and other relevant information to solve or address a variety of business problems, optimize business performance, and gather business intelligence. As a senior member of the analytics organization, this role serves as both a high-level technical expert and a people leader, with responsibility for evolving and consolidating the Bank's analytics and business intelligence capabilities. The Lead Data Scientist will lead advanced analytical initiatives-particularly those supporting credit, portfolio, fraud, collections, and broader risk management-and may directly manage a team of data scientists, credit risk analysts, and/or business intelligence analysts. The role is a key contributor to the Bank's enterprise analytics consolidation strategy, stewarding unified data standards, analytical frameworks, BI reporting practices, and governance across the Bank. This position builds predictive models, advances credit and risk intelligence, and ensures analytics support sound decision making and compliance with regulatory expectations. Performs all duties and interacts with internal and external customers in a manner that is expressly aligned with the Company's Core Values of approaching all actions with a “Voyaging Spirit” and being “Positively Ohana”. Exhibits core competencies that result in consistent delivery of positive Customer Interactions, Empowerment and Ownership and demonstrates key professional and performance skills such as Active Listening, effective Oral and Written Communication, Action and Solution Oriented and Thoroughness. Primary Accountabilities: Performing Analytics: Responsible for completing analytical work using a range of tools and methodologies some of which might be proprietary to the organization including: Draw conclusions and effectively influence business strategies. Perform statistical analysis to understand and work around possible limitations in models. Develop hypotheses and test them with careful experiments. Provide support as required for data-driven decision-making. Lead: Designs, develops, and deploys predictive models, statistical analyses, risk scorecards, and machine learning solutions to support credit and risk strategies (e.g., RAROC, pricing, loss forecasting, early warning, portfolio monitoring). Also performs model validations or model validation assessments. Performs complex data mining using large internal and external datasets, identifying trends and opportunities to improve portfolio performance and operational efficiency. Leads and manages a team of BI analysts, and/or credit analysts-including prioritization, development, mentoring, code reviews, performance management, and technical coaching. Conducts hypothesis testing and experimental design to validate risk strategies and proposed business solutions. Ensures analytical outputs are accurate, repeatable, and aligned with business needs; translates results into actionable insights for senior leaders and risk partners. Partners with Enterprise Risk, Credit Administration, and key product areas to support model monitoring, governance, documentation, and regulatory expectations. Managing/Leading Stakeholder Communications Develop communication plans to actively engage key stakeholders groups. Partner with business sponsors to determine needs and wants. Lead: Serves as the subject matter expert (SME) for predictive analytics, credit risk modeling, BI dashboards, and data driven insights. Translates complex technical concepts into clear, business aligned recommendations for executives and functional leaders. Develops communication and engagement plans for project sponsors, risk committees, auditors, and cross-functional partners. Facilitates collaborative solutioning across credit, risk, operations, finance, compliance, and technology organizations. Data Quality, Security, Reporting, & Governance Support efforts to source, scrub, and join data from public, commercial & proprietary sources. Develop approach to data quality to increase the bar on the soundness of our data. Ensure compliance with bank policies for how data is used and manipulated in the business. Identify data integrity issues and work with Data Quality Validation unit to correct issues. Lead: Oversees team practices for sourcing, validating, cleansing, and joining data from numerous internal and external systems. Troubleshoots data quality issues, partnering with Enterprise Data to remediate root causes. Ensures BI dashboards and credit/risk reporting adhere to consistent standards, controls, and governance practices. Maintains compliance with data security policies, model governance, and regulatory requirements (including credit and consumer regulatory expectations). Enterprise Analytics & BI Consolidation Strategy Leads the Bank's analytics consolidation efforts by defining unified analytic standards, solutions, processes, and data environments across credit, risk, operations, and consumer/commercial lines of business. Evaluates the existing data and BI landscape, identifying opportunities to centralize tools, rationalize reports, eliminate redundant processes, and streamline data pipelines. Defines the technical architecture for advanced analytics and business intelligence, recommending modern platforms, tools, and automation approaches. Identifies and integrates diverse data sources-including credit bureau data, economic indicators, operational data, and risk datasets-to strengthen predictive and monitoring capabilities. Partners closely with Technology, Enterprise Data, and Information Security to operationalize analytics, improve data governance, and ensure sustainable, compliant workflows. Monitors emerging analytics technologies, regulatory trends, and modeling best practices to drive innovation in credit and risk analytics. Minimum Qualifications: Education: High School Diploma or GED equivalency required. Bachelor's Degree from an accredited 4-year university in advanced financial engineering, statistics, applied mathematics, econometrics, data science, or quantitative discipline required. Master's Degree or PhD in quantitative discipline preferred. Experience: 7+ years of experience in financial engineering, statistics, applied mathematics, econometrics, data science, or quantitative discipline required. 4+ years of Management experience, including people required. 1+ years of banking industry experience preferred. Physical Requirements & Working Conditions: Must be able to perform light physical work and to move or lift items including but not limited to boxes, files and papers up to 20 pounds unless otherwise as indicated. Must be able to operate and proficiently use standard office equipment, including phone, copier, personal computer and/or other work related mechanical or electronic devices and applications. Must be able to clearly communicate verbally and in writing with all internal and external customers. Must also be able to hear sufficiently to engage in daily discussions and interactions. Must be able to read and understand bank-related documents. Must be able to work in a conventional office setting, involving sitting at a desk or workstation for long periods of time. Must also be able to adapt to different work environments as needed to perform the job. We are proud to be an EEO/AA employer M/F/D/V. We maintain a drug-free workplace and perform pre-employment substance abuse testing.

Data Management: Reviews data sources and preps needed data. Identifies and communicates issues, limitations, and risks with data sets/reports. Identifies existing and new data sources. Performs data prototyping, if necessary, to agree what data can/not be used. Preps data for use in analysis, goes back to source if problems are found, and identifies other options/alternatives if problems cannot be resolved. Performs review of data to ensure completeness/accuracy/timeliness for the purpose of the analysis. Maintains tables that are necessary for department or corporate reporting. Ensures existing, approved, corporate tools used can accept/integrate the data. Works with external data contacts to resolve issues related to the delivery or receipt of data. Analytics and Technical Acumen: Performs required analysis, applies accepted statistical methodologies where applicable, and documents the process that was followed, and data sources/tools used. Consults with customers on the appropriate analytical approach, identifies benefits/risks, and makes appropriate suggestions to arrive at the desired outcome. Determines what kind of analytics will be performed (descriptive, predictive, prescriptive) and defines/documents overall framework. Understands various internal and external data sources available; uses expertise to utilize the most appropriate data source. Utilizes appropriate tools to load, integrate, and analyze data. Conducts analysis and documents findings, identifies unexpected anomalies and root cause (if possible) and determines if analysis can continue, identifies alternatives if anomalies cannot be resolved. Ensures reproducibility of outcomes. Documents entire analysis process, including business problem, data sources, methods and tools used, project reference, and outcomes. Implements pre-emptive actions, where possible. Gains the needed skills/knowledge when new technologies arrive and provides translation between old and new. Analytics/Reporting Tool Development & Training: Lead in the development and delivery of analytics/reporting tools for internal and external customers. Types of projects include the development, maintenance, and enhancements of self-service reporting tools and regular or ad hoc reporting. Applies a whole company perspective, draws upon previous knowledge and experience, and -- where necessary -- research new/other approaches to identify and agree upon objectives, approach, and success measures. Gathers customers requirements and translates them into actionable analytics and reporting tools. Defines delivery milestones and negotiates timeframes, monitors progress and periodically notifies customer of status. Provides training to customers on new tools/reporting capabilities Effective Communication: Prepare/present findings that are informative and audience appropriate. Reviews findings and outcomes with customer, ensures business problem/objectives have been met, and prepares documentation of the analysis. Where necessary, manage divergent views in the audience and advises the internal/external customer on any recommendations or options that will facilitate data and analysis driven decision making. Prepares a presentation of the analysis, process followed and reviews it with the customer to ensure the results are audience appropriate. Performs all other miscellaneous responsibilities and duties as assigned or directed. #LI-Hybrid

We are seeking experienced Data Scientists to join our team and drive impact across various product areas. As a Data Scientist, you will collaborate with cross-functional partners to identify and solve complex problems using data and analysis. Your role will involve shaping product development, quantifying new opportunities, and ensuring products bring value to users and the company. You will guide teams using data-driven insights, develop hypotheses, and employ rigorous analytical approaches to test them. You will tell data-driven stories, present clear insights, and build credibility with stakeholders. By joining our team, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond. **Required Skills:** Data Scientist, Analytics (Technical Leadership) Responsibilities: 1. Work with complex data sets to solve challenging problems using analytical and statistical approaches 2. Apply technical expertise in quantitative analysis, experimentation, and data mining to develop product strategies 3. Identify and measure success through goal setting, forecasting, and monitoring key metrics 4. Partner with cross-functional teams to inform and execute product strategy and investment decisions 5. Build long-term vision and strategy for programs and products 6. Collaborate with executives to define and develop data platforms and instrumentation 7. Effectively communicate insights and recommendations to stakeholders 8. Define success metrics, forecast changes, and set team goals 9. Support developing roadmaps and coordinate analytics efforts across teams **Minimum Qualifications:** Minimum Qualifications: 10. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 11. Mathematics, Statistics, Operations Research) 5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab) 12. 8+ years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development 13. Experience working effectively with and leading complex analytics projects across multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics and Finance 14. Experience with predictive modeling, machine learning, and experimentation/causal inference methods 15. Experience communicating complex technical topics in a clear, precise, and actionable manner **Preferred Qualifications:** Preferred Qualifications: 16. 10+ years of experience communicating the results of analyses to leadership teams to influence the strategy 17. Masters or Ph.D. Degree in a quantitative field 18. Bachelor's Degree in an analytical or scientific field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research) 19. 10+ years of experience doing complex quantitative analysis in product analytics **Public Compensation:** $210,000/year to $281,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Job Description 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 other 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 customer data holdings Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist other 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 constantly shifting collection, processing, storage and analytic capabilities and limitations Required Skills: US Citizens Only Active TS/SCI Clearance and Polygraph required Information Assurance Certification may be required Minimum of ten (10) years of relevant experience and a Bachelor's degree or twelve (12) years of relevant experience and an Associate's degree required. Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science 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 two of more of the following: 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 Software engineering Salary Range: $55,155.21 - $121,253.45 _____________________________________________________________________________________________________ Compensation ranges encompass a total compensation package and are a general guideline only and not intended as a guaranteed and/or implied final compensation or salary for this job opening. Determination of official compensation or salary relies on several different factors including, but not limited to: level of position, complexity of job responsibilities, geographic location, candidate's scope of relevant work experience, educational background, certifications, contract-specific affordability, organizational requirements and alignment with local market data. Our compensation includes other indirect financial components designed to support employees' total well-being, which should be considered when evaluating our competitive benefits package. These monetary benefits include medical insurance, life insurance, disability, paid time off, maternity/paternity leave, 401(k) company match, training/education reimbursements and other work/life programs. _____________________________________________________________________________________________________ IntelliGenesis is committed to providing equal opportunity to all employees and applicants for employment. The Company is an Equal Opportunity Employer (EOE), and as such, does not tolerate discrimination, retaliation, or harassment of its employees or applicants based upon race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability, or any other protected characteristic under local, state, or federal law in any employment practice. Such employment practices include, but are not limited to: hiring, promotion, demotion, transfer, recruitment, or recruitment advertising, selection, disciplinary action layoff, termination, rates of pay, or other forms of compensation and selection of training. IntelliGenesis is committed to the fair and equal employment of individuals with disabilities. It is the Company's policy to reasonably accommodate qualified individuals with disabilities unless the accommodation would impose an undue hardship on the organization. In accordance with the Americans with Disabilities Act (ADA) as amended, reasonable accommodations will be provided to qualified individuals with disabilities, when such accommodations are necessary, to enable them to perform the essential functions of their jobs or to enjoy the equal benefits and privileges of employment. This policy applies to all applicants for employment and all employees. Powered by JazzHR mc BcX1DdA1

Ho'olaulima Government Solutions LLC (HGS) is a Small Business Administration-certified, Native Hawaiian Organization-Owned, 8(a) Small Business which provides services and solutions in the areas of Cybersecurity Services, Information Technology Services, Professional and Technical Services, Environmental Services, and Healthcare Services to the Department of Defense and other Federal agencies. HGS is a wholly-owned subsidiary of the Kina'ole Foundation, a 501(c)(3) non-profit established to benefit Native Hawaiian communities. You will receive a comprehensive benefits package that includes: Health insurance Dental insurance Life insurance Professional training reimbursement 401K Disability insurance ...and much, much more! Job Description: The Storage and Data Protection Analyst will have demonstrated experience in testing/developing virtualization in large, multi-national deployments to include the storage, network, server (applications and database) aspects and the software required to centrally manage this architecture. Duties and Responsibilities: Manage and maintain a virtualized Multi-Tenant Data Center and various secure hybrid Cloud Computing solutions, virtualized storage, networks, and desktops in the Pacific Theater or other theater-wide DoD deployments to include server-accelerating RAM-based VDI data storage, with server RAM as the primary storage tier and virtualized server acceleration. Develop operational checklists as required. Manage virtual capabilities, to include the storage, network, server (applications and databases) aspects and the software required to centrally manage this architecture. Software may include VMWare vSphere, Citrix Xen, and Microsoft Hyper-V platforms and extends to desktop management and deployment of the VDI otherwise referred to Thin, Zero, Multi-Level, or Trusted Thin Clients. Manage networks, servers, and storage on SIPRNet to include configuration of said equipment to Air Force specifications. Experience should include leading a team in the seamless connection to a Virtual Desktop Environment. Build test and training plans for Airmen to manage, the complex backend virtual environment to include Cisco's Unified Computing Systems (UCS), EMC VNX storage area network, VMware vCenter, and VMware Horizon View Manage storage area networks (SAN) to include EMC or other brands, with the broad under-standing of other SAN leaders to include NetApp. Should possess the broad understanding of Hyper-Converged solutions such as Nutanix and EVO. Should possess a broad understanding of pure flash storage VDI-specific solutions such as Tintri and Nimble Storage. Provision virtual servers to support Unified Computing (i.e. virtual call managers) and Share-Point deployments to include the conversion from Physical-to-Virtual (P-to-V) on a virtualized data center platform. Build test and training plans to train Airmen to provision, Zero/Thin/Multi-level/Trusted Thin Clients to include experience in deploying this capability on existing infrastructure (category 5e cable and fiber). Manage virtual capabilities where bandwidth and access issues create unique challenges. This includes large areas and land masses that are disconnected and separated. Provide customer support and troubleshooting for virtual servers and VDI client hardware and software and coordinating with Government Network Control Centers and Higher Headquarters. Plan and coordinate virtualization configurations with enterprise technicians and network infrastructure configurations with the local base. Plans and coordinates servers chosen for physical to virtual at the base with base enterprise technicians and A3/6 personnel. Manage Teradici PCoIP technologies. The PCoIP compresses, encrypts and rapidly transports image pixels to PCoIP end-user devices. They in turn decrypt, decompress and display the image on a screen. Includes adding new devices, updating firmware, adding policies. Perform daily VDI Health Checks which includes the systematic and daily monitoring of the backend infrastructure and desktop performance. This includes demonstrated proficiency with Stratusphere or like technology. Stratusphere provides the visibility required to more effectively manage desktop performance and the user experience. Stratusphere provides the visibility necessary for machine boot and login process troubleshooting and optimization, health checks, platform validation, and more streamlined management functionality of the host environment. much, much more. Perform installation, configuration, and management of Atlantis iLio or like technology. iLio allows a datacenter to use Server RAM as primary storage as opposed to traditional storage solutions. Manage VMWare vRealize, which provides complete visibility in one place, across applications, storage and network devices, with an open and extensible platform supported by third-party management packs. This will help enable optimum performance and availability of applications and infrastructure. Perform first line trouble-shooting activities (if required) for installed environments in conjunction with remote enterprise technicians and local base technicians. Performs other related duties as assigned. Education/Certification Requirements: Possess Systems Experience managing, implementing, and configuring devices such as: NetApp E-Series, Avamar M1200/Virtual Edition, DataDomain DD9300/6300, SolidFire Storage, EMC VNX5600/5400/5200/5300/5100, Celerra NS-120/480 File Servers, Cisco UCS 5100 Series B/C Series Servers, Cisco UCS 6248/6296, Cisco MDS 9120/9140/9134/9148/9396s switches, Quantum ADIC i500/i2000 Tape Libraries, DataDomain DD600, HP Blade System C7000, HP BL460, EMC Symmetrix 8530, 8830, Connectrix (Brocade), CLARiiON CX-500/700, EMC RecoverPoint, Dell Servers and Work-stations, HP Servers and Workstations, IBM AS/400 Possess Software Experience managing, implementing, and configuring technologies such as: SecureView 2.X, VMware vSphere 4.X/5.X/6.X Horizon View5.X/6.X/7.X, CTERA File Services Platform, NetApp Storage Grid, Ivanti Appsense, Avamar, Liquidware Labs Stratusphere UX/Profile Unity, Atlantis Compu-ting ILIO, Teradici PCoIP Management Console, Windows 95, 98, 2000, XP, Vista, 7/8/10, Server 2000/2003/2008/2012, Microsoft Active Directory 2000 and 2003, SMS 2.0, 2003, Exchange 5.5, 2003, 2008, Blackberry Enterprise Server 3.6, 4.1, Microsoft Office, EMC Legato Networker, Commvault Simpana 7/8/9/10, EMC Control Center, EMC Navisphere, EMC Unisphere, EMC Replication Manager/SE, Time Finder, and Cisco Device and Fabric Manager, Remedy Action Request System. Required to have certification such as Cisco CCIE Data Center, Cisco CCNP Data Center, or NetApp NCDA Active Secret clearance. HGS is an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Job Posted by ApplicantPro

Data Management: Reviews data sources and preps needed data. Identifies existing and new data sources. Performs data prototyping, if necessary, to agree what data can/not be used. Preps data for use in analysis, goes back to source if problems are found, and identifies other options/alternatives if problems cannot be resolved. Performs review of data to ensure completeness/accuracy/timeliness for the purpose of the analysis. Maintains tables that are necessary for department or corporate reporting. Ensures existing, approved, corporate tools used can accept/integrate the data. Analytics and Technical Acumen: Performs required analysis, applies accepted statistical methodologies where applicable, and documents the process that was followed, and data sources/tools used. Determines what kind of analytics will be performed (descriptive, predictive, prescriptive) and defines/documents overall framework. Understands various internal and external data sources available; uses expertise to utilize the most appropriate data source. Utilizes appropriate tools to load, integrate, and analyze data. Conducts analysis and documents findings, identifies unexpected anomalies and root cause (if possible) and determines if analysis can continue, identifies alternatives if anomalies cannot be resolved. Ensures reproducibility of outcomes. Documents entire analysis process, including business problem, data sources, methods and tools used, project reference, and outcomes. Implements pre-emptive actions, where possible. Analytics/Reporting Tool Development & Training: Participates in the development and delivery of analytics/reporting tools for internal and external customers. Types of projects include the development and or maintenance of self-service reporting tools and regular or ad hoc reporting. Applies a whole company perspective, draws upon previous knowledge and experience, and -- where necessary -- research new/other approaches to identify and agree upon objectives, approach, and success measures. Defines delivery milestones and negotiates timeframes, monitors progress and periodically notifies customer of status. Provides training to customers on new tools/reporting capabilities Effective Communication: Prepare/present findings that are informative and audience appropriate. Reviews findings and outcomes with customer, ensures business problem/objectives have been met, and prepares documentation of the analysis. Where necessary, manage divergent views in the audience and advises the internal/external customer on any recommendations or options that will facilitate data and analysis driven decision making. Prepares a presentation of the analysis, process followed and reviews it with the customer to ensure the results are audience appropriate. Performs all other miscellaneous responsibilities and duties as assigned or directed. #LI-Hybrid

Data Scientist / Software EngineerLOCATIONHonolulu, HI 96815CLEARANCETS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARYWe are seeking a passionate and innovative Data Scientist / Software Engineer to join our team and help drive the development of data-driven software solutions. In this role, you will work at the intersection of data science and software engineering, developing models and algorithms that extract actionable insights from large datasets while ensuring the scalability and reliability of the software. The ideal candidate will thrive in a collaborative environment, using their problem-solving skills to create impactful solutions that enhance business processes and decision-making. If you are eager to work on cutting-edge technology in a dynamic and growing field, we encourage you to apply and be part of our forward-thinking team. *** 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, Machine Learning Engineer, Software Engineer, Data Analyst, Research Scientist, Artificial Intelligence Engineer, Data Architect, Data Science Developer, Business Intelligence Engineer, Computational Scientist, ect.DEGREE (Level Desired) Bachelor's DegreeDEGREE (Focus) Computer Science, Data Science, Software Engineering, Artificial Intelligence, Applied Mathematics, Statistics, Information Technology, Computational Science, 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 data-driven applications Analyze and interpret complex datasets Build and optimize machine learning models Develop and maintain data pipelines and workflows Collaborate with teams to translate data insights into actionable solutions Document and present analytical results effectively REQUIRED SKILLS Proficiency in Python or R Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) Knowledge of data visualization tools (e.g., Tableau, Matplotlib) Understanding of SQL and database management systems Familiarity with data cleaning and preprocessing techniques Ability to implement end-to-end data science solutions DESIRED SKILLS Familiarity with cloud platforms for data analytics (e.g., AWS, GCP) Knowledge of big data technologies (e.g., Hadoop, Spark) Experience with natural language processing Understanding of advanced statistical and mathematical modeling Familiarity with real-time data streaming tools Ability to integrate predictive 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.