Data Science Internship Jobs in Waipio, HI

Zachary Piper Solutions is seeking a Data Analyst to join a DoD contract based in Honolulu, HI. This position requires an active Secret Clearance and will require onsite attendance. Responsibilities of the Data Analyst: * Support complex deliverables for the Air Force portfolio. * Provide data analysis updates to leadership and stakeholders. * Facilitate and participate in meetings/forums. * Develop and present meeting materials. * Implement business transformation and strategy/policy for a 180,000+ person enterprise. * Maintain governance and programmatic documents for consistency across Air Force bases. Qualifications of the Data Analyst: * 3+ years of professional experience. * Understanding of PowerBI, SharePoint, and Microsoft suite. * Associate degree or higher in a relevant field. * Must be able to be onsite at JBPHH 1-3 days per week. * Active Secret Clearance. Compensation for the Data Analyst: * Salary: $100,000-135,000/year (flexible based on experience). * Benefits: Medical, Dental, Vision, 401K, PTO, Paid Holidays, sick leave if required by law. #LI-CF1 #LI-HYBRID #pandologic Keywords: Data Analyst, data analytics, powerbi, power bi, sharepoint, data specialist, data, data scientist, Top Secret (TS), Secret (S), Confidential (C), Sensitive Compartmented Information (SCI), Special Access Program (SAP), Kailua, Pearl City, Mililani, Ewa Beach, Kaneohe, Waipahu, Aiea, Kapolei.

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 Mathematics, Statistics, a relevant technical field, or equivalent 7. 2+ years of work experience in analytics and data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) 8. 2+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution [including defining metrics, experiment, design, communicating actionable insights] **Preferred Qualifications:** Preferred Qualifications: 9. Master's or Ph.D. Degree in a quantitative field **Public Compensation:** $114,000/year to $171,000/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.

Delivers insights on potential areas of optimization, improvement, and growth. Partners with cross-functional teams to create coordinate data architecture strategies. Responsible for knowledge sharing of Data Analytics best practices to the broader company. Collaborates with business units and management to identify Key Performance Indicators (KPIs) for data capture and reporting across the business. + Work with the SI and technical and functional leads to provide advice and support to the JPMO on the development of data management plans for data migration. + Assist the JPMO with the establishment of a Data Management IPT and facilitate subsequent Data Management IPT activities. + Work with the SI and provide advice and support to the JPMO on the development of the high-level strategy for Data Management and Conversion that provides a roadmap for performing the migration of data from legacy systems to the new modernized system. + Assist in the establishment of Data Security and Management Policy, Processes, and Procedures. + Ensure compliance with all Data Security mandates (DHS and JPMO). + Attend data conversion meetings, review products, ensure all data anomalies are addressed before migration to the new system and that reconciliation between systems, ledgers, etc. are completed. + Attend all data management and conversion meetings. Provide meeting minutes, notes, briefs, etc. as required for stakeholders and management meetings. + Support the JPMO Data Management lead in the oversight and review of all data management plans and artifacts. + Review plans developed by the SI and support the implementation of data management, data cleansing, data dictionaries, data migration, data conversion, data archiving, backup and recovery plans, and products. + Review Component legacy system data and ensure an accurate understanding of the data elements, structures, and quality is recorded. + Setup staging environments for data cleansing and conversion activities. + Assist Components in preparing for migration of legacy data into a new integrated financial, procurement, and asset management system such as executing mock data conversions and cutover activities. + Support Departmental and Component level Business Intelligence (BI) and Data Warehouse (DW) efforts in conjunction with third-party BI/DW offerings. + Work with the Requirements IPT lead to identify Component reporting requirements. + Work with the JPMO and the SI to facilitate the design and development of report and query designs. + Work with the SI and Functional Testing lead and provide advice to the JPMO on the development of test scripts for reports and ensure the data is reported as expected. + Work with the third-party provider to resolve and report defects and to test the report until all issues are resolved. + Perform data mining and analysis. + Attend, facilitate, and take minutes for meetings, as needed/requested. + Act as project manager as needed for working groups. **Minimum Qualifications** + Bachelor's Degree in Engineering, or a related scientific or technical discipline, or equivalent relevant experience + 5-10 years of overall work experience, 2+ years experience in the areas of data analytics, developing dashboards and data models **Other Job Specific Skills** + Possesses and applies expertise on multiple complex work assignments. Assignments may be broad in nature, requiring originality and innovation in determining how to accomplish tasks. + Operates with appreciable latitude in developing methodology and presenting solutions to problems. + Contributes to deliverables and performance metrics where applicable. + Design strategies for enterprise database systems and set standards for operations, programming, and security. + Design and construct large relational databases. + Integrate new systems with existing warehouse structure and refine system performance and functionality. + Intermediate proficiency level with Atlassian/Confluence/Jira + Advanced proficiency level with Microsoft application skillset **Compensation Ranges** Compensation ranges for ASM Research positions vary depending on multiple factors; including but not limited to, location, skill set, level of education, certifications, client requirements, contract-specific affordability, government clearance and investigation level, and years of experience. The compensation displayed for this role is a general guideline based on these factors and is unique to each role. Monetary compensation is one component of ASM's overall compensation and benefits package for employees. **EEO Requirements** It is the policy of ASM that an individual's race, color, religion, sex, disability, age, sexual orientation or national origin are not and will not be considered in any personnel or management decisions. We affirm our commitment to these fundamental policies. All recruiting, hiring, training, and promoting for all job classifications is done without regard to race, color, religion, sex, disability, or age. All decisions on employment are made to abide by the principle of equal employment. Physical Requirements The physical requirements described in "Knowledge, Skills and Abilities" above are representative of those which must be met by an employee to successfully perform the primary functions of this job. (For example, "light office duties' or "lifting up to 50 pounds" or "some travel" required.) Reasonable accommodations may be made to enable individuals with qualifying disabilities, who are otherwise qualified, to perform the primary functions. **Disclaimer** The preceding job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. $69,700 - $83,000 EEO Requirements It is the policy of ASM that an individual's race, color, religion, sex, disability, age, gender identity, veteran status, sexual orientation or national origin are not and will not be considered in any personnel or management decisions. We affirm our commitment to these fundamental policies. All recruiting, hiring, training, and promoting for all job classifications is done without regard to race, color, religion, sex, veteran status, disability, gender identity, or age. All decisions on employment are made to abide by the principle of equal employment.

Iron EagleX (IEX), a wholly owned subsidiary of General Dynamics Information Technology, delivers agile IT and Intelligence solutions. Combining small-team flexibility with global scale, IEX leverages emerging technologies to provide innovative, user-focused solutions that empower organizations and end users to operate smarter, faster, and more securely in dynamic environments. Responsibilities Job Description: The Data Analyst will use technology to mine complex, voluminous, and different varieties of data from various sources and platforms, to collect, analyze, and compile data to meet customer needs at Camp Smith in Hawaii. Job Duties Include (but not limited to): Analyze local, national, and global trends to identify new sources of data and methods to improve data collection, analysis, and reporting. Determine technical issues and remove corrupted data & fix coding errors and related Work collaboratively with Intelligence and Data analysis teams to produce qualitative and quantitative data analysis that supports Intelligence products and processes. Build data solutions, tools, and capabilities to enable self-service frameworks and/or automation for data consumers to monitor, extract, and report on data. Work with IDST members and USSOCOM leadership to identify process improvement opportunities, propose system modifications, and devise data management strategies for the enterprise to improve the quality and usability of data. Use statistical tools to identify, analyze, and interpret patterns and trends in complex data Qualifications Required Skills & Experience: Can write in Python. Can read and understand other coding languages; HTML/CSS, R, Java, C, C++, C# Create respective process documentation using a web-based version control Experience with Gitlab and Jira Provide written and verbal communication and respective business process Work independently and on teams and have excellent time management and work prioritization skills. Execute complex projects within government defined timelines across a geographically dispersed workforce and user base. Experience providing services similar in required tasks, scope, and complexity. Due to U.S. Government contract requirements, only U.S. citizens are eligible for this role. Desired Skills: JavaScript, R, C/C++, SQL, Go, Flask, React, SQL Alchemy, CI/CD Experience with Flask and React preferred. Education & Certifications: Bachelor's degree in a Computer Science discipline or equivalent. Security Clearance: TS with Active SCI Eligibility is REQUIRED. Benefits: National Health, vision, and dental plans 20 days of PTO and 11 paid holidays Life Insurance Short - and long-term disability plans 401(K) retirement plans Incentive and recognition programs Relocation opportunities Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

Nakupuna Consulting is part of a Native Hawaiian Organization (NHO)-owned family of companies comprising large and 8(a) small businesses. Our mission is to create and implement elegant solutions to the government's most challenging problems while increasing economic opportunities for the Native Hawaiian community. Over the past 10 years, Nakupuna has become a leader among NHOs and through our successes, the Nakupuna Foundation has given over $11MM to the Native Hawaiian community. This Data Analyst position is part of a team that supports the USINDOPACOM Alpha contract. The ideal candidate excels in a dynamic environment, has strong analytical skills, and has experience supporting senior-level officials. This position requires a candidate who can analyze, synthesize, and transform complex data into digestible and informative visuals and recommendations. A self-starter, capable of seamless work as an individual or in a team environment will be most successful in this role. Responsibilities The following reflects management's definition of essential functions for this job but does not restrict the tasks that may be assigned. Management may assign additional duties and responsibilities to this job at any time due to reasonable accommodation or other reasons. Develop dashboards that visualize the agency's Key Performance Indicators (KPIs) and assess both operational and transformational performance. Collaborate with key stakeholders to define functional and technical requirements for Minimum Viable Product (MVP) dashboards, including software/tool selection. Utilize Power BI or Tableau to build MVP dashboards, to include development of wire frames and key metrics and gathering of stakeholder feedback. Lead dashboard roll-out, testing, and integration into pre-existing government systems. Receive and incorporate feedback on how the dashboard is utilized. Transform data sets through quantitative and qualitative analysis into insights and compelling visuals that help inform decision making. Interpret results from multiple sources using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining. Discover, validate, and prepare data sources and engage relevant data owners in requirements definition process. Develop solutions for filling in data gaps. Apply sound strategies for obtaining quality data from different sources, integrating, and developing actionable information to support quantitative analysis. Present data-driven insights and address questions from a non-technical audience. Effectively partner with a cross-contractor team while receiving input from a non-technical client. Critically evaluate information gathered from multiple sources, reconcile and identify gaps, uncover unmet business needs, and work with others to create a finished solution. Work with executives and other business leaders to identify opportunities for improvement. Qualifications Skills/Qualifications: Demonstrated experience in data analysis and data management. Proficiency in SharePoint and Microsoft Office Suite, including MS Teams. Comfortable working with senior leaders and demonstrated interpersonal and communication skills. Strong organizational and time management skills Critical thinking and analytical skills are a must. Ability to work in a team and as an individual contributor. Demonstrated experience compiling, organizing, and cleaning data for input into dashboards or business intelligence tools. Experience with SharePoint content management and programming languages, such as Python, SQL, and R, is preferred. Education and Experience: This position requires a bachelor's degree from an accredited institution. The following are desirable levels of experience: 3+ years of experience with data analytics tools such as Qlik, Tableau and/or Power BI Work Location: Work is performed in Honolulu, HI. Clearance: Active TS/SCI security clearance required. Must be a U.S. citizen. Physical Requirements: The ideal candidate must at a minimum, be able to meet the following physical requirements of the job with or without a reasonable accommodation: Ability to perform repetitive motions with the hands, wrists, and fingers. Ability to engage in and follow audible communications in emergencies. Ability to sit for prolonged periods at a desk and work on a computer. The Nakupuna Companies use a market-based compensation strategy to ensure that our employees are compensated within applicable market ranges commensurate with multiple factors, including but not limited to the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability, organizational requirements, and position location. The projected compensation range for this position is $100,000.00 to $170,000.00 (annualized USD). The salary range displayed represents the typical salary range for this position and is just one component of Nakupuna Companies total compensation package for employees.

This role is based remotely but if you live within a 50-mile radius of [Atlanta, Austin, Detroit, Warren, Milford or Mountain View], you are expected to report to that location three times a week, at minimum. **The Role** The Staff Data Scientist is an internal expert in methodology and leads audience activation modeling efforts, translating complex customer data into actionable marketing strategies and personalized customer experiences through machine learning modeling. This individual possesses deep technical expertise in statistics and machine learning, with a strong focus on their application in marketing targeting. This individual will collaborate closely with stakeholders from GM's vehicle brands and the Performance Driven Marketing team to ensure business acceptance of proposed methods, conduct objective performance evaluations, and optimize audience activation to drive sales. You will be responsible for developing advanced marketing models, extracting valuable insights, and creating scalable solutions that identify high-return investment opportunities at the channel and tactic levels. Our team is focused on delivering forward-thinking, consumer-centric, and prescriptive solutions that enable GM to remain proactive and agile as we transition to electric vehicles (EVs). **What You'll Do** Staff Data Scientist will be responsible for: + Work on a cross-functional team to propose and implement high-impact, data-driven solutions to address business challenges across a variety of business units + Apply advanced data-driven modeling techniques to inform decision making and solve complex business problems + Create breakthrough solutions, performing exploratory and targeted data analyses + Undertake preprocessing of structured and unstructured data + Monitor and sustain model effectiveness + Present complex information using data visualization techniques + Work with diverse technical teams and provide data and analytical oversight to ensure project deliverables fulfill business needs and timing + Identify long-term technical innovations while continuously improving execution efficiency + Possessing contextual business knowledge and functional domain expertise in the advertising and media space, showing a proven ability of using data, analytics, and insights to add revenue and business-impacting value in this via audience selection and behavioral engagement + Exhibiting a perspective of constrained curiosity, asking why, and suggesting experimentation to drive incremental impact + Exhibiting the ability to tell a succinct, data-driven story in any forum and tailor delivery to a wide range of stakeholder levels, from analyst to senior executive + Ensuring a superior level of delivery quality at all levels of their organization through the creation of internal structures and extensible frameworks to manage accountability and develop staff + Mentoring junior data scientists on the team **Your Skills & Abilities (Required Qualifications)** + Master's Degree or Ph.D. in Data Science, Computer Science, Statistics, Applied Mathematics, Operations Research, Marketing Science, or another quantitative field + Deep knowledge of Machine Learning and Statistics. Familiarity with Deep Learning algorithms is a plus + Proficient in writing scalable code using Python and SQL/Spark, with experience working with Spark/ML, scikit-learn, NumPy, Pandas, StatsModels, PyMC, TensorFlow, PyTorch, and related packages + Experience withcloud compute platforms such as Azure with Databricks experience being especially valuable + 10+ years of experience as a Data Scientist or in a related role,developing, deploying, and monitoring performance of large analytic data sets and machine learning based models + Desired expertise in marketing analytics and advanced methods such as: customer lifetime value, consumer choice (multinomial logit), time-series forecasting, hierarchical bayes, panel-data methods (fixed/random effects), censored/truncated regressions, selection models, non-random treatment effects, hazard /survival models, structural equation modeling, item response theory, latent class regression, media mix modeling (MMM), multi-touch attribution (MTA) + Prior experience with CRM, paid, earned, and owned media + Ability to prioritize and manage multiple tasks and projects at once without sacrificing quality **Additional Job Description** This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate. A company vehicle will be provided for this role with successful completion of a Motor Vehicle Report review. Compensation: + The expected base compensation for this role is: $160,200- $285,300. Actual base compensation within the identified range will vary based on factors relevant to the position. + **Bonus Potential:** An incentive pay program offers payouts based on company performance, job level, and individual performance. + **Benefits** : GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE. \#LI-CC1 **About GM** Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. **Why Join Us** We aspire to be the most inclusive company in the world. We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Our Work Appropriately philosophy supports our foundation of inclusion and provides employees the flexibility to work where they can have the greatest impact on achieving our goals, dependent on role needs. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team. **Benefits Overview** The goal of the General Motors total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan incudes, the following benefits, in addition to many others: - Paid time off including vacation days, holidays, and parental leave for mothers, fathers and adoptive parents; - Healthcare (including a triple tax advantaged health savings account and wellness incentive), dental, vision and life insurance plans to cover you and your family; - Company and matching contributions to 401K savings plan to help you save for retirement; - Global recognition program for peers and leaders to recognize and be recognized for results and behaviors that reflect our company values; - Tuition assistance and student loan refinancing; - Discount on GM vehicles for you, your family and friends. **Diversity Information** General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities. GM is proud to be an equal opportunity employer. We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities. **Equal Employment Opportunity Statements** GM is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. GM is committed to providing a work environment free from unlawful discrimination and advancing equal employment opportunities for all qualified individuals. As part of this commitment, all practices and decisions relating to terms and conditions of employment, including, but not limited to, recruiting, hiring, training, promotion, discipline, compensation, benefits, and termination of employment are made without regard to an individual's protected characteristics. For purposes of this policy, "protected characteristics" include an individual's actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression, sexual orientation, weight, height, marital status, military service and veteran status, physical or mental disability, protected medical condition as defined by applicable state or local law, genetic information, or any other characteristic protected by applicable federal, state or local laws and ordinances. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com or call us at ************. 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. We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about: **Our Company (************************************************** **Our Culture** **How we hire (************************************************ Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility. **Explore our global location** **s** The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com .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.

At Cardinal Health's Artificial Intelligence Center of Excellence (AI CoE), we're focused on using technology to improve healthcare. Our commitment to innovation, design, and a product-centric approach helps us create solutions that make a real difference. We're a team of passionate individuals who thrive in a culture of collaboration and continuous learning. We leverage cutting-edge technology and data insights to solve complex problems, forge new business models, and create products that truly impact the lives of our customers. As a Full Stack Data Scientist and a key member of our AI CoE, you'll play a pivotal role in driving this transformation. You'll work closely with business stakeholders to understand their needs and translate them into actionable data-driven solutions. You will be responsible for building and maintaining robust machine learning models and GenAI solutions, designing intuitive user interfaces, and ensuring seamless integration with our existing systems. This role is looking for a highly skilled and versatile engineer who can bridge the gap between machine learning and front-end development. The ideal candidate will have a strong understanding of both areas and be able to apply their knowledge to build innovative and user-friendly applications. **Responsibilities** + Develop intuitive and user-friendly web applications using modern front-end frameworks (e.g., React, Angular, Vue.js) to showcase and interact with your ML/GenAI solutions. + Strong understanding of React components, state management, and lifecycle methods. + Ability to build complex and performant user interfaces. + Develop and deploy Machine Learning (ML) models: Design, train, and optimize machine learning models for a variety of applications like forecasting, classification and categorization systems, and churn prediction. + Develop, integrate and maintain Generative AI (GenAI) solutions: Explore and implement GenAI technologies, like large language models (LLMs), to enhance existing applications or create new GenAI-based solutions. This includes working with RAG technologies, embedding models, and crafting effective prompts for LLMs. Ensure the reliable and scalable deployment; and support and maintenance of GenAI models in production environments. + Construct robust APIs: Design and implement RESTful APIs to integrate your ML models or GenAI solutions with other applications and systems within the organization. + Build and maintain end-to-end ML pipelines: Design, develop, and maintain robust and scalable ML pipelines, encompassing data ingestion, feature engineering, model training, deployment, and monitoring. + Ensure scalability and performance: Design and implement solutions to ensure that your ML and GenAI applications are scalable, efficient, and performant, even with large volumes of data and usage. + Create compelling data visualizations: Develop interactive and insightful visualizations to communicate the results of your data analysis and ML/GenAI models to stakeholders + Collaborate with cross-functional teams: Work closely with principal and senior data scientists, data engineers, business analysts, and product and project managers to ensure successful delivery of projects. + Stay current on the latest trends in AI: Actively seek out and experiment on new ML and GenAI technologies and approaches to enhance your skillset, and the performance and efficiency of your ML/GenAI models. This includes active participation in internal events like AI CodeJam. **Qualifications** + Bachelor's degree in mathematics, Statistics, Engineering, Computer Science, other related field, or equivalent years of relevant work experience is preferred. + At least 4 years of experience as a Full Stack Machine Learning Engineer or similar role preferred + Experience including HTML, HTML5, CSS3 and JavaScript (React preferred), Angular, Vue.js, Python, Java, Node.js, Flask/Django, FastAPI, PostgreSQL. + Experience with popular React libraries and tools (e.g., Redux, React Router, Styled Components). + Experience in DevOps tools like Docker, Kubernetes, Airflow; version control using Git and CI/CD piplelines using Concourse + Knowledge of clinical domain and datasets. + Knowledge of REST, Apigee, Microservices preferred + Experience in Generative AI, RAG implementation, re-ranking, Large Language Models (LLMs), LangChain, LlamaIndex, Hugging Face, Vector databases, Embedding models, Prompting techniques. + Experience with Machine Learning and related technologies such as Jupiter Notebooks, RAG, NumPy, Pandas, Scikit-learn, Tensor-Flow, Pytorch, Supervised and Unsupervised learning, Deep learning, Model evaluation + Understanding of cloud data engineering and integration concepts including GCP, Vertex AI, Cloud functions, Compute Engine, Cloud storage. + Strong mathematical and statistical skills. + 2+ years in the Healthcare industry and knowledge of clinical data preferred. + Delivery experience with Google Cloud Platform preferred. + Agile development skills and experience preferred. + Experience designing and developing machine learning and deep learning solutions and systems. + Experience using statistical analysis to determine data modeling approach, training machine learning tests and experiments. + Experience possessing deep functional and technical understanding of the Machine Learning technologies (Google's Cloud Platform, custom and COTS-embedded) and provide prescriptive guidance on how these are leveraged within the Commercial Technologies and/or Business landscape. + Experience mining and analyzing large structured and unstructured datasets. + Experience identifying the data attributes that influence the outcome, define, and monitor metrics, create data narratives, and builds tools to drive decisions. + Experience in building end-to-end ML pipelines from data ingestion, feature engineering, model training, deploying and scaling the model in production + Experience in model training, model evaluation, model optimization, ML system architecture design, and scalable ML model deployment + Experience building large-scale batch and real-time data pipelines with data processing frameworks like Scio, Google Cloud Platform and the Apache Beam + Proficiency in Python and relevant libraries for machine learning such as scikit-learn and Pandas, as well as Jupyter Notebooks. + Experience in building solutions for AI/ML services and platforms with models in production, ML Ops, CI/CD automation of ML pipelines in a cloud-based environment e.g., (GCP) + Experience interacting with REST APIs and microservices + Familiarity with containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) for scalable and efficient model deployment. **What is expected of you and others at this level** + Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects + Recommends new practices, processes, metrics, or models + Works on complex projects of large scope projects may have significant and long-term impact + Provides solutions which may set precedent + Collaborate with stakeholders for completion of new projects **Anticipated salary range:** $93,500 - $133,600 **Bonus eligible:** No **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 1/26/2025 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. \#LI-Remote \#LI-AP4 _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

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.

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 QualificationsTS/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 ExperienceRelevant 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. Required Technical SkillsData ParsingTool knowledge needed Data flow knowledge needed Python Needed The Benefits PackageWyetech 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 BenefitsShort and Long-Term DisabilityHospital Indemnity, Accident, and Critical Illness InsurancesOptional Identity Theft and Legal Protection Services Company Environment & PerksEmployee 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 OCONUSVarious 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. $51.36 - $107.53 an hour 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.

Company: Norstella Employment Type: Full Time **Description** At Norstella, our mission is simple: to help our clients bring life-saving therapies to market quicker-and help patients in need. Founded in 2022, but with history going back to 1939, Norstella unites best-in-class brands to help clients navigate the complexities at each step of the drug development life cycle -and get the right treatments to the right patients at the right time. Each organization (Citeline, Evaluate, MMIT, Panalgo, The Dedham Group) delivers must-have answers for critical strategic and commercial decision-making. Together, via our market-leading brands, we help our clients: + Citeline - accelerate the drug development cycle + Evaluate - bring the right drugs to market + MMIT - identify barrier to patient access + Panalgo - turn data into insight faster + The Dedham Group - think strategically for specialty therapeutics By combining the efforts of each organization under Norstella, we can offer an even wider breadth of expertise, cutting-edge data solutions and expert advisory services alongside advanced technologies such as real-world data, machine learning and predictive analytics. As one of the largest global pharma intelligence solution providers, Norstella has a footprint across the globe with teams of experts delivering world class solutions in the USA, UK, The Netherlands, Japan, China and India. ** :** Norstella Real World Data (RWD) is seeking a skilled NLP Data Scientist with clinical background with a focus on Language Models to join our AI & Life Sciences Solutions team. Your expertise in processing and understanding natural language data, along with your knowledge of Electronic Health Records (EHR) and laboratory reports analysis, will be instrumental in driving our data science initiatives and innovations, particularly in the development of rich multimodal real-world datasets to expedite RWD-driven drug development in pharma. **Responsibilities:** + Employ and leverage NLP and open-source Large Language Models (LLM) such as LLama2, Mixtral, Qwen, BERT, etc., to extract, process, and interpret unstructured medical data from diverse sources like EHRs, medical notes, and laboratory reports. + Collaborate with clinical scientists and data scientists to create efficient NLP models for healthcare, exhibiting an understanding of both the technical and medical aspects of the data. + Conduct data cleaning, preprocessing, and validation to maintain the accuracy and reliability of insights gathered from NLP processes. + Validate and present data findings to stakeholders, exhibiting clear and effective communication skills. **Qualifications:** + Master's or Ph.D. degree in Computational Biology, Computer Science, Data Science, Computational Linguistics, Machine Learning, or a related analytical field. + Deep understanding and direct experience (2+ years) in handling and interpreting either Electronic Health Records (EHR) and laboratory tests results or genetic test results is a must. + Proven experience (2+ years) in NLP with a strong knowledge of NLP techniques such as Named Entity Recognition (NER), text summarization, topic modeling, etc. and their applied use in healthcare. + Expert-level understanding and practical experience (1+ years) with open-source Large Language Models (Llama2/3, Mixtral etc.), e.g., prompt engineering, inference, and fine-tuning. + Proficient in Python and SQL, with strong experience in NLP libraries such as NLTK, spa Cy, Hugging face Transformers, and deep learning libraries such as PyTorch, TensorFlow.Familiarity with common data science and ML practices, e.g., version control systems, agile methodologies, and documentation. + Experience in working with AWS cloud environment and large databases (e.g., AWS redshift). + Experience in managing ML lifecycle using open-source tools (e.g., MLflow).Detail-oriented with strong analytical and problem-solving abilities. + Excellent verbal and written communication skills, with ability to present complex data to non-technical audience. **Preferred Qualifications:** + Experience dealing with protected health information (PHI) and familiarity with healthcare-related data privacy laws such as HIPAA. + Familiarity with standard healthcare codes and terminologies such as ICD-10, CPT, LOINC, and SNOMED CT. + Experience in RAG (Retrieval-Augmented Generation) and vector store in the context of storing large volume of healthcare unstructured documents and querying those. **Benefits:** Medical and prescription drug benefits Health savings accounts or flexible spending accounts Dental plans and vision benefits Basic life and AD&D Benefits 401k retirement plan Short- and Long-Term Disability Paid parental leave Paid time off principles for success at Norstella **01: Bold, Passionate, Mission-First** We have a lofty mission to Smooth Access to Life Saving Therapies and we will get there by being bold and passionate about the mission and our clients. Our clients and the mission in what we are trying to accomplish must be in the forefront of our minds in everything we do. **02: Integrity, Truth, Reality** We make promises that we can keep, and goals that push us to new heights. Our integrity offers us the opportunity to learn and improve by being honest about what works and what doesn't. By being true to the data and producing realistic metrics, we are able to create plans and resources to achieve our goals. **03: Kindness, Empathy, Grace** We will empathize with everyone's situation, provide positive and constructive feedback with kindness, and accept opportunities for improvement with grace and gratitude. We use this principle across the organization to collaborate and build lines of open communication. **04: Resilience, Mettle, Perseverance** We will persevere - even in difficult and challenging situations. Our ability to recover from missteps and failures in a positive way will help us to be successful in our mission. **05: Humility, Gratitude, Learning** We will be true learners by showing humility and gratitude in our work. We recognize that the smartest person in the room is the one who is always listening, learning, and willing to shift their thinking. The expected base salary for this position ranges from $140,000 to $200,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus. _Norstella is an equal opportunities employer and does not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, pregnancy or maternity, gender reassignment, race, color, nationality, ethnic or national origin, religion or belief, disability or age. Our ethos is to respect and value people's differences, to help everyone achieve more at work as well as in their personal lives so that they feel proud of the part they play in our success. We believe that all decisions about people at work should be based on the individual's abilities, skills, performance and behavior and our business requirements. Norstella operates a zero-tolerance policy to any form of discrimination, abuse or harassment._ _Sometimes the best opportunities are hidden by self-doubt. We disqualify ourselves before we have the opportunity to be considered. Regardless of where you came from, how you identify, or the path that led you here- you are welcome. If you read this job description and feel passion and excitement, we're just as excited about you._ Norstella is an equal opportunity employer. All job applicants will receive equal treatment regardless of race, creed, color, religion, alienage or national origin, ancestry, citizenship status, age, physical or mental disability or handicap, medical condition, sex (including pregnancy and pregnancy-related conditions), marital or domestic partner status, military or veteran status, gender, gender identity or expression, sexual orientation, genetic information, reproductive health decision making, or any other protected characteristic as established by federal, state, or local law.

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 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.

The future you want is within reach. At PCL, we build the places where life happens and find camaraderie in the process. We're a community of builders committed to building better communities. That's why we're always looking ahead, and not just to the next project or what's next in our industry. We're also looking at what's next for you and how we can help you build a career you're proud of. Here's how a Marketing Intern for our Hawaii office contributes to our team: Responsibilities • Assist with the production and distribution of various visual materials for internal and external audiences, including photography, graphic design, page layout, and video • Review and edit various internal documents and marketing related material in the Associated Press (AP) Style • Assist in curating photos, text, proposal content, marketing materials, project profiles, resumes, award submissions, notes to staff, etc. in AP Style • Assist with publicity efforts, including news releases, news conferences, and pitching news stories to various media outlets • Updating company databases • Provide support to marketing team, as required • Special assignments, as required Qualifications • Pursuing an educational degree in advertising, marketing, or equivalent • Strong writing and editing skills according to Associated Press (AP) Style • High attention to detail and the ability to multi-task • Highly organized self-starter • Intermediate computer, word processing, desktop publishing, and researching skills • Photography, graphic design, and video production skills considered an asset Working Conditions • Work will be performed in a professional office setting; business casual attire will be required • Occasional visits to active construction sites may be required PCL is an innovative, employee-owned company comprised of people who find passion in their profession and take pride in doing great work every day. Our work powers the infrastructure and utilities that are essential to daily life and our projects are the scene of vacations, careers, education and healing. We are consistently ranked among the best companies to work for because we are committed to supporting and developing our teams. The PCL Companies celebrate diversity and are proud to be an equal opportunity employer. We are committed to creating equitable opportunities and an inclusive environment for all employees and applicants. We make employment-related decisions without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, age, disability or veteran status. PCL combines numerous pay and benefit strategies to provide a comprehensive and competitive total rewards package. Any salary range displayed by a job board is an estimate. Your salary, which considers your unique qualifications and experience, is just one component of the robust total rewards you'll enjoy at PCL. This may include an employee share purchase offering, discretionary annual performance bonus, comprehensive benefits and wellness programs, retirement plan plus matching, and career development programs. The pay range for this position is between $27 and $31 an hour, based on experience and qualifications. Should you require an accommodation during the application process, please contact us at *************** with the position and location you are interested in. Together, we can build success and a better future. Let's get started! Employee Status: Internship Full-Time Company: Nordic PCL Construction, Inc. Primary Location: Honolulu, Hawaii Job: Marketing Intern Requisition: 8123

We are looking to hire part-time Marketing Intern whom is ambitious and driven person that is pursuing or is interested in the fields of marketing, communication, business, etc. to assist our marketing department in its continued growth of our business. During the internship, you can expect to gain knowledge and skills that can be applied to a future career. Duties: Shadow client meetings, walk throughs, interactions, etc. as requested or needed. Create and monitor marketing campaigns to create new business streams. Reliably communicate updates on projects and campaigns. Use company customer relationship manager (CRM) to track and input client details and communications. Meet bi-weekly and monthly goals set by managers/supervisors. Our goal for the intern is to help facilitate the growth of HBM and HBMR through marketing, communication and sales. Gain a diverse set of skills that will be applicable in the field of marketing and beyond. Example of skills include the following: Digital marketing, social media management, professional communication skills, networking, and more. Schedule: Mon, Wed and Fri: from 8am to 2pm 10 - 19 hrs a week during normal business hours. In-person at corporate office. Compensation: $17/per hour Hawaiian Building Maintenance 1013 Kawaiahao Street (Office closed to walk-ins) Fax: ************ Equal Opportunity Employer

Meta's products are designed to bring people closer together and make it easier for them to share information, ideas, and experiences. We are hiring experienced Data Scientist across a variety of our product areas including Facebook, Instagram, Monetization, Integrity, Gen AI, Messenger, Reality Labs, Whatsapp, and others!As a Data Scientist, you will collaborate on a wide array of product and technical problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, 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 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 (Technical Leadership) 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. Understand and identify opportunities to more responsibly leverage cutting edge technology. 5. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations. 6. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions. 7. Intellectual curiosity and drive, decisiveness, with ambiguity and complexity. **Minimum Qualifications:** Minimum Qualifications: 8. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. 9. 8+ years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development. 10. Experience working effectively with multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics and Finance. 11. Experience framing and communication skills. **Preferred Qualifications:** Preferred Qualifications: 12. Masters or Ph.D. Degree in a quantitative field. 13. Experience with predictive modeling, machine learning, and experimentation/causal inference methods. **Public Compensation:** $206,000/year to $281,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Iron EagleX (IEX), a wholly owned subsidiary of General Dynamics Information Technology, delivers agile IT and Intelligence solutions. Combining small-team flexibility with global scale, IEX leverages emerging technologies to provide innovative, user-focused solutions that empower organizations and end users to operate smarter, faster, and more securely in dynamic environments. Responsibilities Job Description: The Data Analyst will use technology to mine complex, voluminous, and different varieties of data from various sources and platforms, to collect, analyze, and compile data to meet customer needs at Camp Smith in Hawaii. Job Duties Include (but not limited to): Analyze local, national, and global trends to identify new sources of data and methods to improve data collection, analysis, and reporting. Determine technical issues and remove corrupted data & fix coding errors and related Work collaboratively with Intelligence and Data analysis teams to produce qualitative and quantitative data analysis that supports Intelligence products and processes. Build data solutions, tools, and capabilities to enable self-service frameworks and/or automation for data consumers to monitor, extract, and report on data. Work with IDST members and USSOCOM leadership to identify process improvement opportunities, propose system modifications, and devise data management strategies for the enterprise to improve the quality and usability of data. Use statistical tools to identify, analyze, and interpret patterns and trends in complex data Qualifications Required Skills & Experience: Can write in Python. Can read and understand other coding languages; HTML/CSS, R, Java, C, C++, C# Create respective process documentation using a web-based version control Experience with Gitlab and Jira Provide written and verbal communication and respective business process Work independently and on teams and have excellent time management and work prioritization skills. Execute complex projects within government defined timelines across a geographically dispersed workforce and user base. Experience providing services similar in required tasks, scope, and complexity. Due to U.S. Government contract requirements, only U.S. citizens are eligible for this role. Desired Skills: JavaScript, R, C/C++, SQL, Go, Flask, React, SQL Alchemy, CI/CD Experience with Flask and React preferred. Education & Certifications: Bachelor's degree in a Computer Science discipline or equivalent. Security Clearance: TS with Active SCI Eligibility is REQUIRED. Benefits: National Health, vision, and dental plans 20 days of PTO and 11 paid holidays Life Insurance Short - and long-term disability plans 401(K) retirement plans Incentive and recognition programs Relocation opportunities Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

Responsible for seamless order intake, validation, and processing to enable successful provisioning and billing orders to complete customer orders as a unit of work. This role requires a high level of attention to detail, the ability to work under tight deadlines, and seek assistance when required to ensure a high level of quality of orders being entered. Handles the most complex order intakes or customers. + Process new and transition orders for Federal agencies, ensuring accuracy and compliance with all federal regulations + Utilize intake methods such as email, Ebond (Conexus, ETEMs), and Business Center to manage order requests. + Collaborate with cross-functional teams to ensure seamless order processing from intake to billing, including review of order provisioning and billing setup in the system. + Maintain up-to-date knowledge of EIS products, process flows, and service level agreements (SLAs). + Support operational dashboards for order visibility and forecasting to improve predictability and control. + Ensure all network hardware, core network configurations, and software requirements are accurately captured and assigned. + Collaborate with Service Management to maintain client health index and manage customer relationships from delivery to billing. + Responds to requests from internal and external customers to expedite orders, correct errors, or investigate problems with transportation providers. + Researches and resolves order errors and updates the system and suggests system or process improvements related to errors. + May assist in training or mentoring junior Order Intake Specialists. Minimum Qualifications + Associate's degree in a related field or equivalent work experience + 5-8 years of related experience in a network services environment with a focus on order intake and management and/or experience with data entry. Experience within federal government context a plus. Other Job Specific Skills + Strong analytical and problem-solving abilities. + Proficient in the use of innovative tools and analytics for process optimization. + Excellent interpersonal and customer service skills. + Strong organizational skills and the ability to manage a high volume of orders. + Strong written and verbal communication skills. + Proficient in using various intake methods and comfortable working with technology. + Ability to work effectively in a team environment. + Ability to work on MS Excel for any business calculation. + Keen attention to detail and accuracy. + Ability to work well under pressure. **Compensation Ranges** Compensation ranges for ASM Research positions vary depending on multiple factors; including but not limited to, location, skill set, level of education, certifications, client requirements, contract-specific affordability, government clearance and investigation level, and years of experience. The compensation displayed for this role is a general guideline based on these factors and is unique to each role. Monetary compensation is one component of ASM's overall compensation and benefits package for employees. **EEO Requirements** It is the policy of ASM that an individual's race, color, religion, sex, disability, age, sexual orientation or national origin are not and will not be considered in any personnel or management decisions. We affirm our commitment to these fundamental policies. All recruiting, hiring, training, and promoting for all job classifications is done without regard to race, color, religion, sex, disability, or age. All decisions on employment are made to abide by the principle of equal employment. Physical Requirements The physical requirements described in "Knowledge, Skills and Abilities" above are representative of those which must be met by an employee to successfully perform the primary functions of this job. (For example, "light office duties' or "lifting up to 50 pounds" or "some travel" required.) Reasonable accommodations may be made to enable individuals with qualifying disabilities, who are otherwise qualified, to perform the primary functions. **Disclaimer** The preceding job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. $46k - $66k EEO Requirements It is the policy of ASM that an individual's race, color, religion, sex, disability, age, gender identity, veteran status, sexual orientation or national origin are not and will not be considered in any personnel or management decisions. We affirm our commitment to these fundamental policies. All recruiting, hiring, training, and promoting for all job classifications is done without regard to race, color, religion, sex, veteran status, disability, gender identity, or age. All decisions on employment are made to abide by the principle of equal employment.

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.

Join Nakupuna Foundation and the data project team this summer and gain data analytic experience at a Native Hawaiian Organization-owned family of companies! The Intern will collaborate with teammates from around the U.S. to produce actionable data analytic products to support decision making, support development and refinement of data integrations, and gain hands on experience working in several analytic tools and frameworks. The Data Analyst Internwill have the opportunity to work across teams of services and data professionals on internal projects that directly impact the efficiency of a fast-growing organization with a workforce of over 1,300 employees. With Headquarters in Honolulu and offices throughout the United States, the relationships created within the Nakupuna Companies will serve as a basis for networking in Washington, DC, and around the country. This position is offered through the Kāpili ‘Oihana Internship Program (KOIP) with Kamehameha Schools ( ******************************************************************* ). This is a paid internship for a student who is available for approximately 40 hours per week, preferably for the duration of the summer term (May 1 2, 2025, through August 15, 2025). Responsibilities Assist Nakupuna Data Team by participating in the full data lifecycle including decomposing requirements from business users, performing gap analysis to identify missing data attributes, assisting data engineering efforts to onboard data attributes to our enterprise model, and creating actionable reports for our business users. Regular assignments may include reviewing existing data documentation, performing descriptive and exploratory statistics, data cleansing and wrangling, facilitating data requirements meetings, shadowing data teammates during routine data procedures, presenting data findings, and preparing data products including excel reports, dashboards, data documentation, and formal written reports. The following reflects management's general expectations for this position in alignment with KOIP goals but does not restrict the tasks that may be assigned. Management may assign additional duties and responsibilities to this job at any time due to reasonable accommodation or other reasons. Gather, clean, and transform data from various internal sources to ensure accuracy and consistency for analysis. Support creation and maintenance of novel dashboards and features to support data decision making. Participate in data integration activities to consolidate data from different business systems. Document data analysis processes and methodologies to increase data processing transparency and productivity across departments. Support automation of routine reports and data analysis tasks to streamline processes and reduce manual work for departments. Qualifications Skills/Qualifications: Must be 18 years of age and a U.S. citizen. In accordance with KOIP requirements, applicants must also be a resident of the State of Hawaiʻi, be enrolled as a degree-seeking student in an accredited college program, and have a cumulative grade point average of 2.5 or greater. Due to the hybrid nature of this internship, access to broadband WiFi is required to work effectively in a virtual office environment if the intern will not be on site in a Nakupuna office daily. Additional qualifications include intermediate skills in Microsoft Office Suite (Word, PowerPoint, and Excel) and excellent written and verbal communication skills. Education and Experience: First year of college or equivalent by the start of the internship. Majors in computer science, industrial engineering, business or similar field preferred. Clearance: This position does not require a security clearance. Must be a US Citizen. Competencies: Oral Communication - Speaks clearly in positive or negative situations; Listens and gets clarification; Responds well to questions; Participates in meetings. Written Communication - Writes clearly and informatively; Edits work for spelling and grammar; Presents numerical data effectively; Able to read and interpret written information. Analytical - Synthesizes complex issues and accurately distills problems into its essential components; Applies critical thinking when learning new information; Utilizes data to uncover insights and trends.

Data Scientist / Cloud Software EngineerLOCATIONHonolulu, HI 96815CLEARANCETS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARYWe are looking for a talented Data Scientist / Cloud Software Engineer to join our team and contribute to the development of innovative cloud-based solutions that leverage advanced data analytics. In this role, you will work on designing and building scalable cloud architectures while applying data science techniques to drive insights and decision-making. The ideal candidate will have a strong understanding of both cloud infrastructure and data analytics, with a passion for solving complex problems and transforming large datasets into actionable solutions. If you enjoy working in a dynamic environment where technology meets business impact, we encourage you to apply and help shape the future of our data-driven products and services. *** Please note that our job openings are dynamic and can open or close quickly (much faster than we can publish). If you do not see an opening you are looking for, know that we see almost all types of positons. We strive to keep our listings up to date, but please consider submitting your current resume. Our team will work with you to identify the most recent opportunities that align with your skillset and career goals. We look forward to you joining our family. *** SIMILAR CAREER TITLESData Engineer, Cloud Data Scientist, Cloud Software Developer, Cloud Solutions Architect, Data Analyst, Cloud Architect, Machine Learning Engineer, Big Data Engineer, Cloud Platform Engineer, AI Engineer, ect.DEGREE (Level Desired) Bachelor's DegreeDEGREE (Focus) Computer Science, Data Science, Cloud Computing, Software Engineering, Information Technology, Statistics, Applied Mathematics, Artificial Intelligence, Information Systems, Electrical Engineering, Machine Learning, ect.ALTERNATE EXPERIENCEGeneral comment on degrees: Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree. Some contracts give 4-5 years experience credit for a Bachelor's Degree. Some contracts give 2 years experience credit for a Master's Degree. We will work with you to find the right fit.POSITION RESPONSIBILITIES Design and implement cloud-based data solutions Build scalable data processing workflows Develop and maintain machine learning models Collaborate with cross-functional teams to deliver insights Ensure data security and compliance Document and communicate technical solutions REQUIRED SKILLS Proficiency in Python or Java Experience with cloud platforms like AWS or GCP Expertise in big data tools like Spark or Hadoop Familiarity with machine learning frameworks such as TensorFlow or PyTorch Knowledge of SQL and NoSQL databases Ability to optimize and monitor cloud-based pipelines DESIRED SKILLS Familiarity with Infrastructure as Code (IaC) tools Knowledge of real-time data processing platforms Understanding of advanced statistical methods Experience with serverless computing models Knowledge of containerization tools like Docker or Kubernetes Ability to integrate machine learning models into production systems PLUG IN to CYMERTEK - And design your future... YOUR FOREVER CAREER STARTS HERE Are you looking for more than just a job? Join a company where employees are treated like family, and your career is built to last. We are a growing small business and a trusted federal contractor offering full scope consulting services in information technology, cybersecurity, and analyst workforce development. At our company, you come first. We're committed to creating an environment where you'll thrive professionally and personally. We provide meaningful, challenging work using cutting-edge technologies while investing in your growth and success. With direct access to company leadership, a laid-back and inclusive atmosphere, and exceptional work-life balance, you'll feel valued every day. We also believe in taking care of our family - both yours and ours. Our benefits are phenomenal, family-friendly, and designed with your well-being in mind. From employee and family events to career-long support, we create a community you'll never want to leave. Ready to make your next move the best one? Join us and experience the difference. BENEFITS Excellent Salaries Flexible Work Schedule Cafeteria Style Benefits 10% - 401k Matching (Vested Immediately) Additional 401k Profit Sharing 30 days Paid Leave/Holiday (No Use or Lose!) The day off for your birthday Medical/Dental/Vision - 100% employee coverage. ($1200 allowance - or a bonus) HSA/FSA AFLAC Long Term/Short Term Disability - 100% employee coverage. No cost to you. Life Insurance - 100% employee coverage. No cost to you. Additional Discretionary Life Insurance Paid Training No long, wordy reviews with tons of paperwork!!! Referral bonus program with recurring annual payments HOW TO APPLY Email us at ***************** or apply today: **************** Want to see what our employees think? Click here . EQUAL OPPORTUNITY EMPLOYER STATEMENT Cymertek is proud to be an Equal Opportunity Employer committed to fostering an inclusive and diverse workplace. We embrace and celebrate differences in our employees, recognizing that a diverse workforce enhances our creativity, innovation, and overall success. At Cymertek, employment decisions are made based on merit, qualifications, and business needs without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by applicable laws. We believe in creating an environment where all individuals are treated with respect and dignity, and where opportunities for professional growth and advancement are accessible to everyone, regardless of background or identity.