Data Scientist
Data science internship job in Urban Honolulu, HI
** At Western Digital, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible. At our core, Western Digital is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we've been doing just that-our technology helped people put a man on the moon and capture the first-ever picture of a black hole.
We offer an expansive portfolio of technologies, HDDs, and platforms for business, creative professionals, and consumers alike under our Western Digital , WD , WD_BLACK, and SanDisk Professional brands.
We are a key partner to some of the largest and highest-growth organizations in the world. From enabling systems to make cities safer and more connected, to powering the data centers behind many of the world's biggest companies and hyperscale cloud providers, to meeting the massive and ever-growing data storage needs of the AI era, Western Digital is fueling a brighter, smarter future.
Today's exceptional challenges require your unique skills. Together, we can build the future of data storage.
**Job Description**
ESSENTIAL DUTIES AND RESPONSIBILITIES
+ **Business Partnership & Consulting**
+ Serve as the primary analytics partner to HR and business leaders, understanding their challenges and translating them into analytical solutions.
+ Provide insights and recommendations that inform decisions on talent strategy, workforce planning, retention, and employee experience.
+ Build strong relationships with HRBPs, COEs, and leadership teams to ensure alignment on priorities.
+ Experience advising, presenting to, and serving as a thought partner to senior executives.
+ **Analytics & Insights**
+ Develop dashboards, reports, and analyses on workforce metrics (e.g., attrition, DEI, engagement, recruiting, performance).
+ Translate complex data into clear, actionable insights with strong storytelling and visualization.
+ Deliver executive-ready materials that connect people data to business outcomes.
+ Partner cross-functionally with analytics and technical teams to ensure data accuracy, resolve quality issues, and maintain consistent, reliable insights.
+ **Advanced People Analytics**
+ Use statistical analysis, predictive modeling, and trend forecasting to identify workforce risks and opportunities.
+ Partner with HR Technology and Data teams to enhance data quality, governance, and reporting capabilities.
+ Lead initiatives to evolve people analytics from descriptive to predictive and prescriptive insights.
+ **Strategy & Enablement**
+ Guide stakeholders in building a data-driven culture within HR and across the business.
+ Drive adoption of self-service analytics platforms and democratize access to people insights.
**Qualifications**
REQUIRED
+ **Education & Experience**
+ Bachelor's or Master's in HR, Business, Data Analytics, Industrial/Organizational Psychology, Statistics, or a related field.
+ 6+ years of experience in People Analytics, HR Analytics, Workforce Planning, or related fields.
SKILLS
+ **Technical Skills**
+ Strong expertise in data visualization tools (e.g., Tableau, Power BI, Workday People Analytics, Visier).
+ Advanced Excel, SQL, or Python/R for data analysis preferred.
+ Understanding of HR systems (Workday, SuccessFactors, etc.) and data structures.
+ **Business & Consulting Skills**
+ Exceptional ability to translate data into business insights and recommendations.
+ Strong stakeholder management, influencing, and storytelling skills.
+ Experience in partnering with senior leaders to drive data-informed decisions
**Additional Information**
Western Digital is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person's gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person's assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the "Know Your Rights: Workplace Discrimination is Illegal (************************************************************************************** " poster. Our pay transparency policy is available here (****************************************************** .
Western Digital thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.
Western Digital is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at jobs.accommodations@wdc.com to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
Based on our experience, we anticipate that the application deadline will be **12/2/2025** (3 months from posting), although we reserve the right to close the application process sooner if we hire an applicant for this position before the application deadline. If we are not able to hire someone from this role before the application deadline, we will update this posting with a new anticipated application deadline.
\#LI- VV1
**Compensation & Benefits Details**
+ An employee's pay position within the salary range may be based on several factors including but not limited to (1) relevant education; qualifications; certifications; and experience; (2) skills, ability, knowledge of the job; (3) performance, contribution and results; (4) geographic location; (5) shift; (6) internal and external equity; and (7) business and organizational needs.
+ The salary range is what we believe to be the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range and this range is only applicable for jobs to be performed in California, Colorado, New York or remote jobs that can be performed in California, Colorado and New York. This range may be modified in the future.
+ If your position is non-exempt, you are eligible for overtime pay pursuant to company policy and applicable laws. You may also be eligible for shift differential pay, depending on the shift to which you are assigned.
+ You will be eligible to be considered for bonuses under **either** Western Digital's Short Term Incentive Plan ("STI Plan") or the Sales Incentive Plan ("SIP") which provides incentive awards based on Company and individual performance, depending on your role and your performance. You may be eligible to participate in our annual Long-Term Incentive (LTI) program, which consists of restricted stock units (RSUs) or cash equivalents, pursuant to the terms of the LTI plan. Please note that not all roles are eligible to participate in the LTI program, and not all roles are eligible for equity under the LTI plan. RSU awards are also available to eligible new hires, subject to Western Digital's Standard Terms and Conditions for Restricted Stock Unit Awards.
+ We offer a comprehensive package of benefits including paid vacation time; paid sick leave; medical/dental/vision insurance; life, accident and disability insurance; tax-advantaged flexible spending and health savings accounts; employee assistance program; other voluntary benefit programs such as supplemental life and AD&D, legal plan, pet insurance, critical illness, accident and hospital indemnity; tuition reimbursement; transit; the Applause Program; employee stock purchase plan; and the Western Digital Savings 401(k) Plan.
+ **Note:** No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.
**Notice To Candidates:** Please be aware that Western Digital and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to Western Digital Ethics Helpline (******************************************************************** or email ****************** .
Data Scientist, Product Analytics
Data science internship job in Urban Honolulu, HI
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. A minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.)
8. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience
9. Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
**Preferred Qualifications:**
Preferred Qualifications:
10. Master's or Ph.D. Degree in a quantitative field
**Public Compensation:**
$173,000/year to $242,000/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.
Data Governance Analyst
Data science internship job in Urban Honolulu, HI
Data Governance Expertise and Processes
The Data Governance Analyst will coordinate and contribute to the management of governance processes, including reviewing existing processes and assisting in the implementation of new ones aligned with corporate priorities and initiatives. This includes:
Utilizing and supporting data governance and analytical tools to evaluate data quality, applications, and workflow functions.
Informing workflows for data governance, data quality, data catalog, master data, reference data, and data lifecycle management.
Identifying and proposing efficiencies to streamline and transform data governance processes.
Collaborating with Information Services to help establish standards and capture appropriate metadata in informatics for all data assets on an ongoing basis.
Reviewing new data assets and applying governance principles to determine optimal integration into the governance environment.
Stakeholders, Project, and Service Requests
Provide support and coordinate stakeholder interactions, projects, and service requests across the enterprise.
Develop relationships with business and technical stakeholders, identifying opportunities to apply governance principles and enhance collaboration.
Collaborate with business and technical teams during project delivery.
Manage incoming data governance requests by triaging, assigning, and monitoring their execution and delivery.
Analyze and resolve data governance--related issues with moderate oversight.
Perform ad-hoc data and process analysis as needed.
Data Governance Office Support
Learn current data governance trends and best practice.
Actively support the team as a knowledgeable resource in data governance and data management.
Performs all other miscellaneous responsibilities and duties as assigned or directed.
Collaborates with colleagues across departments to accomplish both individual and team responsibilities.
#LI-Hybrid
Data Scientist III
Data science internship job in Hawaii
Chiron Technology Services, Inc. currently has a Data Scientist III career opportunity in the Honolulu, HI area.
Clearance: Top Secret/SCI with Polygraph
Capabilities:
Analyze large datasets from various sources to extract meaningful insights and identify trends
Design, build, and deploy predictive and prescriptive models using machine learning and statistical algorithms
Create visual representations of data, such as charts, graphs, and dashboards, to effectively communicate findings to stakeholders
Perform data cleaning and preprocessing to ensure the quality and reliability of datasets
Generate detailed reports and documentation of analysis methods, findings, and recommendations
Qualifications:
A Bachelor's degree and 10 years of relevant experience. An Associate's degree plus 12 years of relevant 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
Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming
Compensation & Benefits:
Competitive salary
Medical, dental, and vision insurance
Non-matching 401K - You enjoy our support without having to contribute to get it!
Basic Life and AD&D Insurance provided at no cost to eligible employees
Access to Chiron's catalog of self-paced training courses
Two Paid Time Off (PTO)/Retirement Plan Options
10K employee referral bonus program
We are an EEO/AA Employer. We do not discriminate in hiring on the basis of race, color, national origin, sex, gender identity, sexual orientation, religion, age, disability, protected veteran status, or any other characteristic protected by federal, state or local law. If you need a reasonable accommodation for any part of the employment process, please contact us by email at **********************, let us know the nature of your request and your contact information. Requests for accommodation will be considered on a case-by-case basis. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address.
Auto-ApplyData Scientist
Data science internship job in Hawaii
located in Honolulu, HI. TS/SCI Clearance required. National Capitol Contracting is seeking a Data Scientist to support the Naval Sea Systems Command (NAVSEA) and the Shipboard Maintenance Performance Group (SMPG) and help bring cutting edge data analytics to the Navy Fleet Shipyards.
Essential Duties and Responsibilities
* Assist in the stand-up (both technical and functional) of the Data Analytics Lab located at NAVSEA Naval Shipyards, recommend software/hardware analytics and data management toolsets, and recommend functional responsibilities for the other SMDAL staff members.
* Assist in the development of data procedures and policies, govern data assets, and improve the quality and access to data across the organization.
* Analyze and streamline the processes and technology for using data to manage ship maintenance operations, and draw valuable insights from data through data science and business intelligence.
* Assist in the implementation of industry best practices, selection of enabling tools and technologies, driving innovation, and contributing to new service offerings for our ship maintenance stakeholders.
* Assist in the development of policies and procedures to ensure corporate data systems information protection, data governance, data quality, and data life cycle management.
Government Security Clearance Requirement
* TS/SCI and willingness to undergo a CI and/or FS polygraph is required.
Minimum Requirements
* Bachelors degree in Computer Science, Data Science, Computational Science, or related field.
* 5+ years experience within Data Science/Data Warehousing.
* Experience building and leading data management and analytics projects and initiatives for Federal clients.
* Ability to concisely and convincingly communicate (both verbally and written) with both technical and non-technical stakeholders.
* Experience using data for descriptive, diagnostic, predictive, and prescriptive analytics.
* Knowledge of big data technology infrastructure and environments.
* Experience within Data warehousing and ETL processes.
* Proficient in a broad range of data tools and technologies (e.g., Oracle, SQL, SAP IQ, etc.), visualization/analytics tools (e.g., Tableau, Qlik, MicroStrategy, SAP Business Objects, etc.), as well as machine languages (e.g., Python, R/RStudio, Java, C#, SQL, etc.)
* Experience in developing machine learning models.
* Results-driven, creative, and analytical.
* Strong leadership and ability to work within cross-functional groups.
Preferred Qualifications
* Masters of Science Degree in Computer Science, Data Science, Computational Science or related field.
Special Position Requirements
Environment/Physical Demands: Office Setting, sitting for long periods of time, and utilizing computer/screens for long periods of time.
NCC provides reasonable accommodations to qualified individuals with disabilities. If you are an applicant that requires a reasonable accommodation, please email us at **********************. Please reference the position in your email.
NCC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, ethnicity, ancestry, color, sex, religion, creed, age, national origin, citizenship status, disability, medical condition, military and veteran status, marital status, sexual orientation or perceived sexual orientation, gender, gender identity, and gender expression, familial status, political affiliation, genetic information, or any other legally protected status or characteristic. E-Verify Employer. VEVRAA Federal Contractor.
Data Scientist
Data science internship job in Hawaii
AM LLC is seeking a Data Scientist that will support Operations in the Information Environment (OIE) initiatives under the J39 directorate by leveraging advanced data analysis techniques to extract actionable insights. The candidate will be responsible for analyzing complex data sets, developing predictive models, and providing data-driven recommendations to enhance Information campaigns.
An active TS/SCI or TS w/SCI eligibility clearance is required.
This position is for a forthcoming contract and will be based at the Customer's location in Camp Smith, HI.
Requirements
Essential Duties and Responsibilities
Conducts analysis of structured and semi-structured data sets, which include opinion research, social media-based big data, and various secondary-source indices.
Reviews the methods and means to provide data visualization and quantitative analysis to the team.
Develops automated approaches leveraging artificial intelligence/machine learning (AI/ML) and natural language processing (NLP) to streamline the input of operational assessment data into the Command and Control of the Information Environment (C2IE) system.
Supports the analytics and assessment team in the construction and modification of research design. Acquires, processes, and integrates impactful data from various commercial and customer sources, including HUMINT, SIGINT, OSINT, and GEOINT.
Applies advanced analytical techniques, including machine learning, natural language processing, and deep learning, to identify trends and patterns.
Develops predictive models to support influence operations and behavioral targeting.
Collaborates with OIE planners, OIE analysts, and Data Engineers to ensure effective data utilization. Visualizes data insights through dashboards and reports for decision-makers. Evaluates the effectiveness of OIE campaigns using data-driven methods
Stays current on emerging data science techniques and tools relevant to OIE.
Provides recommendations to senior leadership on data-driven strategies for OIE
Defines the means to create data visualizations and quantitative analysis to support mission needs.
Reviews/analyzes statistical data received from team members, other agencies, and CCMD organic assets.
Reviews empirical/quantitative studies conducted by similar organizations and determine reliability, validity, and other strength factors for potential use in theater.
Provides data visualization and explain quantitative analysis from the research team / vendors and quantitative analysis.
Responsible for contributing to analytic and assessment projects evaluating the Information Environment (IE) for a variety of Combatant Commands (CCMDs).
Knowledge, Skills, and Abilities:
General:
Confident in supporting projects and people, and proactive in making independent decisions and taking appropriate action.
Strong written, analytical, presentation, and verbal communication skills, with the ability to communicate effectively with all levels of stakeholders, from assistants to senior executives.
Strong organizational and time management skills, attention to detail, and the ability to troubleshoot when faced with challenges.
Demonstrates growth from feedback and actively seeks ways to improve.
Able to liaise effectively with a small internal team and external partners.
Minimum Qualifications:
General Requirements:
Degree in Data Science, Computer Science, Mathematics, Statistics, or a related field
Experience in data science, with a focus on predictive analytics, machine learning, and statistical modelin
Experience with data visualization tools (Tableau, Power BI, Matplotlib)
Experience with natural language processing (NLP) and text analytics
Proficiency in Python, R, SQL, and machine learning frameworks (Scikit-learn, TensorFlow, PyTorch).
Familiarity with data security protocols for classified environments
Preferred Qualifications:
Experience supporting Joint Intelligence or U.S. Geographic Combatant CommandsExperience with advanced analytic tools (Open.IO, Echosec, Babel Street, Scraawl)
Experience with geospatial analytic tools (ArcGIS, QGIS)
Experience with data manipulation and analysis tools (SPSS, STATA, IBM Watson)
Proficiency with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes)
Demonstrated experience with Command and Control of the Information Environment (C2IE)
Demonstrated experience briefing senior military leadership (O-5 and above)
Expertise in OSINT, including social media monitoring and analysis.
Ability to conduct complex data queries and scripting for automation.
Security Clearance: Active TS/SCI or TS w/SCI Eligibility clearance is required.
Physical and Environmental Requirements:
Employees must have the ability to perform the following physical demands for extended periods of time with or without assistance:
This position requires the ability to remain in a stationary position (standing and/or seated) most of the time.
Viewing a computer screen/monitor.
Utilizing a keyboard.
Levels:
Junior: 3+ years
Journeyman: 3-10 years
Senior: 10+ years
SME: 15+ years
Proposed Salary Range: $110,000 - $210,000 Camp Smith, HI
Please note that actual salaries may vary within the range or be above o below the range based on factors including, but not limited to, education, training, experience, business need, and location.
AM LLC is an Equal Opportunity Employer. Our policy is clear: there shall be no discrimination on the basis of age, disability, sex, race, religion or belief, gender reassignment, marriage/civil partnership, pregnancy/maternity, or sexual orientation.
We are an inclusive organization and actively promote equality of opportunity for all with the right mix of talent, skills and potential. We welcome all applications from a wide range of candidates. Selection for roles will be based on individual merit alone.
Salary Description $110,000 - $210,000
DATA SCIENTIST
Data science internship job in Urban Honolulu, HI
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
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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
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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
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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.
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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 "
Data Analyst Intern
Data science internship job in Urban Honolulu, HI
**Req number:** R6105 **Employment type:** Full time **Worksite flexibility:** Remote **Who we are** CAI is a global technology services firm with over 8,500 associates worldwide and a yearly revenue of $1 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right-whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise.
**Job Summary**
As a Data Analyst Intern, you will work within our technical data analytics team, focusing on analyzing existing customer data. You will have the opportunity to apply your analytical skills to discover patterns and insights that will help drive business strategies and improve customer experiences.
**Job Description**
We are seeking a motivated and detail-oriented **Data Analyst Intern** to join our team and contribute to impactful data analysis projects. This role is a **full-time internship role and is remote** . The internship dates are June 1, 2026 to July 31 2026.
**This internship is a full-time opportunity requiring a commitment of** **40 hours** **per week.** **Candidates must be available during core business hours (8:30 am EST to 5:00 pm EST) for the entire 9-week duration of the program.** **Please note that all work must be performed within the United States.** **This position does not offer work authorization sponsorship now or in the future. Candidates requiring sponsorship will not be considered.**
**What** **You'll** **Do**
+ Assist in collecting, processing, and analyzing large datasets to extract meaningful insights
+ Collaborate with cross-functional teams to understand data requirements and deliver actionable analytics
+ Develop and maintain dashboards and reports to communicate findings to stakeholders
+ Utilize statistical techniques and data analysis tools to identify trends and patterns in customer data
+ Support the team in ad hoc analysis and reporting requests
**What** **You'll** **Need**
Required:
+ Current Junior pursuing a degree in Computer Science or a related field
+ Minimum GPA of 3.5 or higher
+ Strong analytical skills and experience with data patterns and trends
+ Excellent critical thinking and problem-solving abilities
+ Familiarity with data analytics tools and techniques
+ Passion for working with data and a keen interest in customer data analysis
Preferred:
+ Understanding data engineering, data warehousing, and ETL processes
+ Familiarity with Python, Java, or Scala
+ Familiarity with Azure data storage
+ Exposure to data storage technologies such as SQL databases, NoSQL databases, and data lakes.
+ Familiarity with cloud platforms (AWS or Azure,) and related data services
**Physical Demands**
+ Ability to safely and successfully perform the essential job functions consistent with the ADA and other federal, state, and local standards
+ Sedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings, etc.
+ Ability to conduct repetitive tasks on a computer, utilizing a mouse, keyboard, and monitor
The pay for this position is $20 per hour (USD). Exact compensation may vary based on several factors, including location, experience, and education. Benefit packages for this role will include medical coverage as well as 401k retirement account access. Employees in this role may also be entitled to paid sick leave and/or other paid time off as provided by applicable law.
\#DNP
**Reasonable accommodation statement**
If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to application.accommodations@cai.io or (888) 824 - 8111.
The pay range for this position is listed above. Exact compensation may vary based on several factors, including location, experience, and education. Benefit packages for this role will include medical coverage as well as 401k retirement account access. Employees in this role may also be entitled to paid sick leave and/or other paid time off as provided by applicable law.
Onchain Data Analyst & Researcher
Data science internship job in Urban Honolulu, HI
Ready to be pushed beyond what you think you're capable of? At Coinbase, our mission is to increase economic freedom in the world. It's a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform - and with it, the future global financial system.
To achieve our mission, we're seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company's hardest problems.
Our ******************************** is intense and isn't for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there's no better place to be.
While many roles at Coinbase are remote-first, we are not remote-only. In-person participation is required throughout the year. Team and company-wide offsites are held multiple times annually to foster collaboration, connection, and alignment. Attendance is expected and fully supported.
Coinbase's Unit 0x is a specialized on-chain investigations team at the forefront of securing the crypto ecosystem. We identify, analyze, and mitigate critical on-chain threats-including exploits and illicit activity-using advanced blockchain analytics and investigative techniques. Our mission-driven team protects both Coinbase and the broader web3 community from emerging risks.
As an Onchain Data Analyst & Researcher, you'll lead challenging investigations into illicit activity, proactively research threat actors, and develop scalable methods to detect suspicious patterns. You'll play a key role in high-risk incidents, special projects, and the continuous improvement of our investigative processes. Success in this role requires curiosity, strong blockchain data analysis skills, and a passion for uncovering and neutralizing threats. If you thrive on solving complex problems with data and want to help shape a secure future for blockchain adoption, we want you on our team.
Onchain is the new online. Join us in building a secure future for the next billion users.
*What you'll be doing (ie. job duties):*
* Conduct in-depth investigations and research into illicit activity, scams, onchain exploits, and vulnerabilities, using blockchain analytics and clustering techniques to surface suspicious trends and patterns.
* Analyze and document exploit methodologies, attack vectors, abuse patterns, and incident impacts, providing actionable intelligence to strengthen Coinbase's security posture.
* Develop and automate scalable methods for detecting and understanding emerging threats, including building dashboards, writing queries, and supporting incident response with clear, quantitative reporting.
* Collaborate with cross-functional teams to educate and advise on evolving exploit tactics, risk landscapes, potential mitigations and investigative best practices.
* Monitor and research threat actors, their environments, and emerging blockchain trends to stay ahead of illicit activity and technological developments.
* Respond to urgent, sensitive cases with discretion and professionalism, and support team members as needed.
* Handle highly sensitive cases with respective urgency and discretion;
* Other duties and responsibilities as required or assigned.
*What We Look For In You (i.e., Job Requirements)*
* A well-organized self-starter who is able to constantly learn and work autonomously;
* Ability to handle highly sensitive information;
* Excellent writing, analytical and communication prowess;
* Deep knowledge of blockchain ecosystems and;
* Investigative mindset;
* Strong SQL skills - particularly around on chain analysis in conjunction with working knowledge of abuse vectors;
* Knowledge to leverage AI to 10x output.
*Nice to haves:*
* Previous experience in corporate OSINT analysis
* Experience with Dune Analytics, Flipside, and/or Chainbase.
Position ID: P70663
\#LI-Remote
*Pay Transparency Notice:* Depending on your work location, the target annual salary for this position can range as detailed below. Full time offers from Coinbase also include bonus eligibility + equity eligibility**+ benefits (including medical, dental, vision and 401(k)).
Pay Range:
$144,500-$170,000 USD
Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying.
Commitment to Equal Opportunity
Coinbase is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the *********************************************** in certain locations, as required by law.
Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations***********************************
*Global Data Privacy Notice for Job Candidates and Applicants*
Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available ********************************************************** By submitting your application, you are agreeing to our use and processing of your data as required.
*AI Disclosure*
For select roles, Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation. A human recruiter will review your interview responses, provided in the form of a voice recording and/or transcript, to assess them against the qualifications and characteristics outlined in the job description.
For select roles, Coinbase is also piloting an AI interview intelligence platform to transcribe and summarize interview notes, allowing our interviewers to fully focus on you as the candidate.
*The above pilots are for testing purposes and Coinbase will not use AI to make decisions impacting employment*. To request a reasonable accommodation due to disability, please contact accommodations[at]coinbase.com
Data Scientist, NLP
Data science internship job in Urban Honolulu, HI
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.
We are looking for a motivated Data Scientist to help Datavant revolutionize the healthcare industry with AI. This is a critical role where the right candidate will have the ability to work on a wide range of problems in the healthcare industry with an unparalleled amount of data.
You'll join a team focused on deep medical document understanding, extracting meaning, intent, and structure from unstructured medical and administrative records. Our mission is to build intelligent systems that can reliably interpret complex, messy, and high-stakes healthcare documentation at scale.
This role is a unique blend of applied machine learning, NLP, and product thinking. You'll collaborate closely with cross-functional teams to:
+ Design and develop models to extract entities, detect intents, and understand document structure
+ Tackle challenges like long-context reasoning, layout-aware NLP, and ambiguous inputs
+ Evaluate model performance where ground truth is partial, uncertain, or evolving
+ Shape the roadmap and success metrics for replacing legacy document processing systems with smarter, scalable solutions
We operate in a high-trust, high-ownership environment where experimentation and shipping value quickly are key. If you're excited by building systems that make healthcare data more usable, accurate, and safe, please reach out.
**Qualifications**
+ 3+ years of experience with data science and machine learning in an industry setting, particularly in designing and building NLP models.
+ Proficiency with Python
+ Experience with the latest in language models (transformers, LLMs, etc.)
+ Proficiency with standard data analysis toolkits such as SQL, Numpy, Pandas, etc.
+ Proficiency with deep learning frameworks like PyTorch (preferred) or TensorFlow
+ Industry experience shepherding ML/AI projects from ideation to delivery
+ Demonstrated ability to influence company KPIs with AI
+ Demonstrated ability to navigate ambiguity
**Bonus Experience**
+ Experience with document layout analysis (using vision, NLP, or both).
+ Experience with Spark/PySpark
+ Experience with Databricks
+ Experience in the healthcare industry
**Responsibilities**
+ Play a key role in the success of our products by developing models for document understanding tasks.
+ Perform error analysis, data cleaning, and other related tasks to improve models.
+ Collaborate with your team by making recommendations for the development roadmap of a capability.
+ Work with other data scientists and engineers to optimize machine learning models and insert them into end-to-end pipelines.
+ Understand product use-cases and define key performance metrics for models according to business requirements.
+ Set up systems for long-term improvement of models and data quality (e.g. active learning, continuous learning systems, etc.).
**After 3 Months, You Will...**
+ Have a strong grasp of technologies upon which our platform is built.
+ Be fully integrated into ongoing model development efforts with your team.
**After 1 Year, You Will...**
+ Be independent in reading literature and doing research to develop models for new and existing products.
+ Have ownership over models internally, communicating with product managers, customer success managers, and engineers to make the model and the encompassing product succeed.
+ Be a subject matter expert on Datavant's models and a source from which other teams can seek information and recommendations.
\#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:
$136,000-$170,000 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 (**************************************** .
Data Scientist 2 (CCAs Accepted)
Data science internship job in Urban Honolulu, HI
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 3 years of relevant experience
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 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.
Auto-ApplyData Scientist
Data science internship job in Urban Honolulu, HI
Data ScientistLOCATIONHonolulu, HI 96815CLEARANCETS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARYAre you passionate about uncovering insights from complex data and driving data-informed decision-making? We are seeking a talented Data Scientist to join our team and play a pivotal role in analyzing, modeling, and transforming data into actionable solutions. In this position, you will collaborate with cross-functional teams, leverage advanced analytics techniques, and apply innovative tools to solve challenging problems. If you excel at blending technical expertise with creative thinking to deliver impactful results, we'd love to have you on our 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 Analyst, Machine Learning Engineer, Data Engineer, Business Intelligence Analyst, Artificial Intelligence Specialist, Statistician, Predictive Modeler, Research Scientist, Quantitative Analyst, Big Data Specialist, etc.DEGREE (Level Desired) Bachelor's DegreeDEGREE (Focus) Computer Science, Data Science, Statistics, Mathematics, Applied Mathematics, Engineering, Economics, Physics, Operations Research, Information Technology, etc.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
Analyze and interpret complex data
Develop predictive models
Communicate data findings clearly
Design and implement algorithms
Ensure data quality and integrity
Collaborate with cross-functional teams
REQUIRED SKILLS
Proficiency in data manipulation tools (e.g., Python, R)
Experience with machine learning techniques
Strong statistical analysis skills
Knowledge of data visualization tools (e.g., Tableau, Power BI)
Familiarity with big data technologies (e.g., Hadoop, Spark)
Experience with data cleaning and preprocessing
DESIRED SKILLS
Experience with cloud platforms (e.g., AWS, GCP)
Knowledge of deep learning techniques
Expertise in natural language processing (NLP)
Understanding of database management systems
Experience in deploying models to production
Strong problem-solving and critical thinking abilities
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.
Easy ApplyData Scientist II (TS/SCI Poly)
Data science internship job in Wahiawa, HI
As a successful candidate for the Data Scientist II role, you will 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 NSA/CSS 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 NSA/CSS collection, processing, storage, and analytic capabilities and limitations.
Requirements
QUALIFICATIONS A Bachelor's Degree with 3 years of relevant experience, Associates degree with 5 years of experience may be considered for individuals with in -depth experience that is clearly related to the position is required. 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. 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.
Data Scientist 2
Data science internship job in Wahiawa, HI
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
Mission Development MBA Intern 2026 - Clearance Required
Data science internship job in Urban Honolulu, HI
Vannevar is a defense technology company building AI to deter our adversaries. In the 21st century, conflict moves at algorithmic speed and foresight equals firepower. Our agentic AI is purpose-built to compete with China-from cross-Strait conflict to gray zone coercion. Trained on the most mission-relevant datasets in defense, our technology models adversary behavior, simulates campaigns, and recommends the best course of action to decision makers. Our AI systems are some of the most trusted in the industry and actively used on the front lines of the Indo-Pacific to keep the peace and save lives.
Exceptional technology starts with exceptional people. Vannevar is a small agile team combining world-class engineers with veteran strategists who bring deep expertise in defense and tradecraft. We're building a company defined by mission impact, user empathy, and disciplined growth. In just three years, we grew from $3M to $80M in ARR, achieved early profitability, and reached unicorn status-proving that disruption doesn't require an ego, and staying power doesn't mean standing still.
Job Description
Vannevar Labs is seeking Business Development Interns for the 2026 summer. We are open to hiring in the following locations: Washington D.C., Oahu, New York City, Boston, San Diego, or the Southeastern U.S.
U.S. Persons status with at least a current Top Secret/Sensitive Compartmented Information (TS/SCI) US DoD or IC clearance is required as this position will require the ability to access U.S. only data systems.
About the role
Develop mission engagements. With support from tenured mission development mentors, you will identify DoD mission groups that need our technology and develop partnerships with them to drive deployments of our software in support of their mission.
Scope and implement pilots with our partners. You will help each mission group determine the scope of a pilot engagement and navigate the group's internal bureaucracy to implement the pilot.
Expand successful pilots into larger projects. You will convert the pilot's tangible outcomes generated by our mission success team in partnership with the mission group into a shared roadmap for expanding the pilot into a sustained capability.
What you'll do
Get our software into the hands of mission users who need it by identifying mission groups with a problem our technology can solve and enabling them understand the technology's value
Work hands-on with our partners to help them navigate complex organizational, contracting and budget pathways to implement a pilot or project
Enable DoD senior-level visibility on mission wins generated through our pilots and projects and develop a shared roadmap with our partners for converting these mission wins into larger-scale projects
What we're looking for
Incoming, first or second year MBA students interested in business development and national security, intelligence or defense.
A motivated problem solver who takes ownership, acts with urgency, and is comfortable with ambiguity. You like a challenge, and you don't quit.
Prior DoD mission user experience, domain knowledge, or military service. You understand our partners' organizational constructs and challenges because you lived them.
U.S. Persons status with at least a current Top Secret/Sensitive Compartmented Information (TS/SCI) US DoD or IC clearance is required as this position will require the ability to access U.S. only data systems.
What we offer
The salary range for this position is competitive with market rates. Individual pay is determined by experience, relevant education, and/or training and interview performance.
Vannevar Labs is an equal opportunity employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. We encourage candidates from all backgrounds to apply, even if you don't feel like you're a perfect fit. If you're passionate about contributing to our mission, we'd love to hear from you! IMPORTANT NOTICE
We are committed to protecting the privacy of all applicants. Official emails from the company will come from ******************** domain. Under no circumstances will a legitimate representative from our company contact you to request passwords, financial information, or other sensitive personal data. Please be vigilant of potential scams.
Auto-ApplyData Scientist
Data science internship job in Urban Honolulu, HI
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Data Scientist Responsibilities:
1. Apply expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how Meta users interact with our consumer and business products.
2. Mine massive amounts of data and perform large-scale data analysis to extract useful business insights.
3. Develop data pipelines with automated, machine-learning systems that convert noisy core datasets into powerful signals of user behavior.
4. Build models of user behaviors for analysis or to power production systems.
5. Partner with Product and Engineering teams to solve problems and identify trends and opportunities.
6. Design and implement dashboards and reports that track key business metrics and provide actionable insights.
7. Inform, influence, support, and execute our product decisions and product launches by effectively communicating results to cross functional groups.
8. Work across areas of product operations, exploratory analysis, product leadership, and data infrastructure to help shape the future of what we build at Meta.
9. Telecommuting from anywhere in the U.S. allowed.
**Minimum Qualifications:**
Minimum Qualifications:
10. Bachelor's degree (or foreign equivalent) in Information Technology, Computer Science or related field.Requires completion of a university-level course, research project or internship involving the following
11. Relational database (SQL)
12. Developing in scripting language (Python, R)
13. Large scale data processing infrastructures using distributed systems (Hadoop, Hive)
14. Data Visualization (Tableau)
**Public Compensation:**
$165,787/year to $196,900/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.
Underwriting & Actuarial Data Analyst I
Data science internship job in Urban Honolulu, HI
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
Data science internship job in Hawaii
Job Description
located in Honolulu, HI. TS/SCI Clearance required.
National Capitol Contracting is seeking a Data Scientist to support the Naval Sea Systems Command (NAVSEA) and the Shipboard Maintenance Performance Group (SMPG) and help bring cutting edge data analytics to the Navy Fleet Shipyards.
Essential Duties and Responsibilities
Assist in the stand-up (both technical and functional) of the Data Analytics Lab located at NAVSEA Naval Shipyards, recommend software/hardware analytics and data management toolsets, and recommend functional responsibilities for the other SMDAL staff members.
Assist in the development of data procedures and policies, govern data assets, and improve the quality and access to data across the organization.
Analyze and streamline the processes and technology for using data to manage ship maintenance operations, and draw valuable insights from data through data science and business intelligence.
Assist in the implementation of industry best practices, selection of enabling tools and technologies, driving innovation, and contributing to new service offerings for our ship maintenance stakeholders.
Assist in the development of policies and procedures to ensure corporate data systems information protection, data governance, data quality, and data life cycle management.
Government Security Clearance Requirement
TS/SCI and willingness to undergo a CI and/or FS polygraph is required.
Minimum Requirements
Bachelors degree in Computer Science, Data Science, Computational Science, or related field.
5+ years experience within Data Science/Data Warehousing.
Experience building and leading data management and analytics projects and initiatives for Federal clients.
Ability to concisely and convincingly communicate (both verbally and written) with both technical and non-technical stakeholders.
Experience using data for descriptive, diagnostic, predictive, and prescriptive analytics.
Knowledge of big data technology infrastructure and environments.
Experience within Data warehousing and ETL processes.
Proficient in a broad range of data tools and technologies (e.g., Oracle, SQL, SAP IQ, etc.), visualization/analytics tools (e.g., Tableau, Qlik, MicroStrategy, SAP Business Objects, etc.), as well as machine languages (e.g., Python, R/RStudio, Java, C#, SQL, etc.)
Experience in developing machine learning models.
Results-driven, creative, and analytical.
Strong leadership and ability to work within cross-functional groups.
Preferred Qualifications
Masters of Science Degree in Computer Science, Data Science, Computational Science or related field.
Special Position Requirements
Environment/Physical Demands: Office Setting, sitting for long periods of time, and utilizing computer/screens for long periods of time.
NCC provides reasonable accommodations to qualified individuals with disabilities. If you are an applicant that requires a reasonable accommodation, please email us at **********************. Please reference the position in your email.
NCC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, ethnicity, ancestry, color, sex, religion, creed, age, national origin, citizenship status, disability, medical condition, military and veteran status, marital status, sexual orientation or perceived sexual orientation, gender, gender identity, and gender expression, familial status, political affiliation, genetic information, or any other legally protected status or characteristic. E-Verify Employer. VEVRAA Federal Contractor.
Data Scientist 2 (CCAs Accepted)
Data science internship job in Urban Honolulu, HI
Job Description
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 3 years of relevant experience
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 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.
Pay Range: $51.36 - $107.53 per hour*
Hourly pay rates listed for this position serve as a general guideline and are not a guarantee of compensation. Compensation will vary dependent upon factors including but not limited to: Government contract rates; education; relevant prior work experience, knowledge, skills, and competencies; certifications, and geographic location. *Hourly pay rates reflect the pre-benefit gross wage amounts.
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.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Data Scientist / Software Engineer
Data science internship job in Urban Honolulu, HI
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.
Easy Apply