Internships in Data Science, Operations Research, Math and Statistics
Data Science Internship Job In Urban Honolulu, HI
Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges-and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day-working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities for career growth, and a culture of innovation that embraces adaptability, collaboration, technical excellence, and people in partnership. If this sounds like the choice you want to make, then choose MITRE - and make a difference with us.
NOTE: Thank you for your interest in MITRE's internship opportunities. Please be aware that this is not an application for a specific position. By submitting your information and providing your resume, you will be included in a pool of candidates for various internship roles across the company. If you are selected for consideration for a particular internship, a member of MITRE's Student Programs team will reach out to you. The primary hiring season for MITRE internships runs from September through March. You can monitor your application status here: Workday (myworkdayjobs.com).
Job Description
Data-driven, intelligent systems can bring immense computing power to bear, revealing insights across datasets too massive for humans to synthesize. We help our customers to build and enable those systems by creating trusted data engineering architectures, machine learning algorithms, and analytic techniques that put the power of big data at our users' fingertips while leverage deep expertise in human decision-making and collaboration to best pair humans and machines.
As an Intern working in data science, operations research, math and statistics, you will work with a team to apply your knowledge and gain experience with one or more of the following:
* Data analysis and visualization
* Augmented decision making and trusted analytics
* Applied mathematics, statistics, and optimization
* Simulation and computational analytics
* Systems modeling and analysis
* Operational effectiveness and efficiency
* Knowledge discovery
* Next-gen data environments
Basic Qualifications
* Must be a student enrolled full-time pursuing an accredited degree seeking program in Data Science or a related degree program and continue to be enrolled full-time the semester following the internship
* Knowledge of how retrieve data from databases and other systems and tools using queries, exporting capabilities, and other effective methods
* Understanding of or experience with statistical software and data visualization tools such as R, SPSS, SAS, and UNIX shell scripting
* Sustained excellence in academic performance
Preferred Qualifications
* Experience having applied data science learning to an internship or research/lab position
* Experience retrieving data from databases and other systems and tools using queries, exporting capabilities, and other effective methods
* Experience with statistical software and data visualization tools such as R, SPSS, SAS, and UNIX shell scripting
* Proficiency in one or more of the following: Python (scikit-learn, NumPy, pandas, Jupyter), Scala/Java, C/C++/C#, Objective C; database design & development (SQL, Neo4J, MongoDB); AWS
* Demonstrated interest in serving the public
Clearance: In addition to passing MITRE's employment background check, you may be submitted for a U.S. Government Security clearance. This is determined by the Department of Defense's adjudicative guidelines for receiving a clearance, to include U.S. citizenship. Other jobs may require vetting for various levels of agency public trust, fitness, suitability, controlled access, and special programs access determination consistent with the work program to which you are assigned.
This requisition requires the candidate to have a minimum of the following clearance(s):
This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s):
Salary compensation range and midpoint:
$33,000 - $41,500 - $50,000 Annual
Work Location Type:
Hybrid
MITRE is proud to be an equal opportunity employer. MITRE recruits, employs, trains, compensates, and promotes regardless of age; ancestry; color; family medical or genetic information; gender identity and expression; marital, military, or veteran status; national and ethnic origin; physical or mental disability; political affiliation; pregnancy; race; religion; sex; sexual orientation; and any other protected characteristics. For further information please visit the Equal Employment Opportunity Commission website EEO is the Law Poster and Pay Transparency.
MITRE intends to maintain a website that is fully accessible to all individuals. If you are unable to search or apply for jobs and would like to request a reasonable accommodation for any part of MITRE's employment process, please email ************************.
Copyright 2025, The MITRE Corporation. All rights reserved. MITRE is a registered trademark of The MITRE Corporation. Material on this site may be copied and distributed with permission only.
Benefits information may be found here
Data Scientist, Product Analytics
Data Science Internship Job In Urban Honolulu, HI
As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a diverse set 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 diverse 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. A minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.)
7. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience
8. Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
**Preferred Qualifications:**
Preferred Qualifications:
9. Master's or Ph.D. Degree in a quantitative field
**Public Compensation:**
$173,000/year to $242,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.
Data Analyst
Data Science Internship Job In Kaneohe, HI
ATA Services, Inc., is looking for a full-time Data Analyst for our client Hawaii State Hospital.
See job details below:
Duration: Long-term
45-710 Kea'ahala Road, Kaneohe, HI 96744-3597
Non-exempt Hourly Rate: $34.72
Purpose of Position:
Identify and resolve data inconsistencies/discrepancies. Facilitates advisory/steering committee of data users to identify modifications needed to improve functionality of data systems.
Minimum Requirements:
Knowledge:
Principles, practices, methods, and techniques related to program planning, developing, monitoring, and evaluating; use of relational databases for program implementation, monitoring, and evaluating; knowledge of procedures used for maintaining confidentiality; knowledge of procedures used for ensuring security and confidentiality of electronic data.
Skills/abilities:
Proficiency with large, complex relational databases; develop, design, and manage multiple databases; understand and complete complex oral and written instructions; write in a clear and organized manner; think critically; problem solve; plan, coordinate, and work on projects with others; implement quality control and assurance procedures for data management; interact with others in a professional manner.
Education:
Graduation from an accredited four-year college or university with a bachelor's degree.
Experience:
Two- and one-half years progressively responsible professional work experience which required a high degree of analytical skill. Such experience must have involved the use of large, complex relational databases for the gathering, evaluating, and analyzing facts and other pertinent information required to resolve problems and/or to determine and recommend appropriate courses of action. Such experience must have also provided knowledge of security and confidentiality policies and procedures.
ATA Services, Inc., expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
Data Analyst
Data Science Internship Job In Urban Honolulu, HI
Cayuse Federal Services (CFS) provides innovative and flexible solutions to federal government clients, emphasizing cost-effective excellence. CFS' capabilities, market-relevant service offerings, past performance credentials, and diverse status allow government clients to engage quickly and confidently with CFS. Core service areas for CFS include Environmental Services Investigation and Remediation, Munitions Response/Unexploded Ordnance (UXO), Operations Support Services Bases, Ranges, Airfields, and Logistics/Warehouse Management.
**Primary Focus**
The Data Analyst works with the client in developing and identifying areas within IRS where data obtained through IRS systems may be applied to support IRS compliance activities; help in discovering emerging trends in payment collections and taxpayer behaviors; develop systemic solutions; document analytical work and validate models for transfer to appropriate agency functions.
**Responsibilities**
+ Meet with Government clients to understand their business needs, define research objectives, identify data sources, and develop analysis plans
+ Apply critical thinking and creative problem-solving skills to proactively identify and develop solutions for clients' business problems
+ Conduct exploratory data analysis using large-scale Government data sources. Develop briefings and reports to communicate key findings to colleagues and Government clients
+ Work with teams of data scientists to build pipelines for data engineering and machine learning
+ Work with teams of software developers to build tools for data visualization and analysis
+ Develop recommendations based on completed research and analysis and present these recommendations to government clients
+ Demonstrate superior verbal and written communication skills, with the ability to explain complex analytical concepts to stakeholders with technical and non-technical backgrounds
+ Takes ownership of tasks and develops high-quality work products with minimal supervision
+ Other duties as assigned
**Qualifications**
Minimum Qualifications:
+ Bachelor's in Economics, Statistics, Mathematics, Computer Science, or other quantitative field, or equivalent experience
+ 2-5 years of professional experience
+ 2-5 years of in-depth understanding of data constructs, basic statistical concepts, and analytical methods
+ 2-5 years of experience formulating data-driven recommendations
+ Must be able to pass a background check. May require additional background checks as required by projects and/or clients at any time during employment
+ This position requires candidates to obtain a Federal Public Trust Clearance. Being a US Citizen or a Lawful Permanent Resident is required when obtaining a Federal Public Trust Clearance.
**Minimum Skills:**
+ Comfortable working on projects and with teams with heavy technical focus, including data analytics, machine learning, and/or business intelligence technologies
+ Experience with at least one object-oriented programming language (e.g., Python, Java, JavaScript)
+ Experience with structured databases and query languages (e.g., PL/SQL, Postgres, MySQL)
+ Familiarity with statistical programming languages such as SAS, R, or Stata is helpful, but not required
+ Strong collaboration skills and ability to work well in a team environment
+ Excellent verbal and written communication skills
+ Able to synthesize information from client and team needs into concrete, actionable work products and/or analytical plans
+ Strong client and team interaction skills
+ Critical thinker with excellent attention to detail
**Reports to:** Program Manager
**Working Conditions**
+ Professional remote office environment
+ Must be physically and mentally able to perform duties for extended periods of time. Ability to use a computer and other office productivity tools with sufficient speed to meet the demands of this position
+ Must be able to establish a productive and professional workspace
+ Must be able to work varying work schedules and/or extended hours to meet business needs and project deadlines
+ May be asked to travel for business or professional development purposes
**Other Duties:** _Please note this job description is not designed to cover or contain a comprehensive list of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice._
**Affirmative Action/EEO Statement:** _Cayuse embraces diversity and equal opportunity in a serious way. We celebrate diversity and are committed to creating and building a team that represents a variety of backgrounds, perspectives, and skills. Cayuse, and all of its subsidiaries, are proud to be an equal opportunity workplace and are an affirmative action employer_ _._
**Pay Range**
USD $90,000.00 - USD $99,000.00 /Yr.
Submit a Referral (*************************************************************************************************************************
**Location** _US-_
**ID** _102688_
**Category** _Information Technology_
**Position Type** _Full-Time Salary Exempt_
**Remote** _Yes_
**Clearance Required** _Public Trust_
Data Scientist
Data Science Internship Job In Urban Honolulu, HI
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.
**Job description**
Our dedicated Data Science team is at the forefront of revolutionizing pharma intelligence and how patients gain access to life-saving therapies. Armed with cutting-edge technology and a passion for innovation, we leverage the vast landscape of data to extract actionable insights that drive informed decision making.
Our unique collaborative approach fosters a dynamic synergy between data science and product development. Our deep expertise in machine learning, artificial intelligence, advanced statistical modelling, and big data, combined with our domain knowledge, enables us to deliver comprehensive solutions that empower our clients to stay ahead in a rapidly evolving industry.
**Key duties and responsibilities**
In this role as a Data Scientist, you will:
+ Collaborate with product partners and other scientists to identity new opportunities to apply AI / ML to our content and products
+ Conduct research and identify AI / ML algorithms and methods to solve specific business problems, and deliver these algorithms as microservices in collaboration with content and product engineering teams
+ Contributes towards the common data science platform
+ Stay up-to-date, constantly learning about advances in the field, and deliver periodic presentations to internal teams on these developments
**Key requirements**
+ 3+ years of experience developing AI / ML applications and data driven solutions
+ Graduate degree in Computer Science, Engineering, Statistics or a related quantitative discipline, or equivalent work experience
+ Substantial depth and breadth in NLP, Deep Learning, Generative AI and other state of the art AI / ML techniques
+ Deep understanding of CS fundamentals, computational complexity and algorithm design
+ Experience with building large-scale distributed systems in an agile environment and the ability to build quick prototypes
+ Excellent knowledge of high-level programming languages (Python, Java, or C++) and core data science libraries including Pandas, NumPy and other similar libraries
+ Ability to independently conduct research and independently develop appropriate algorithmic solutions to complex business problems
+ Experience mentoring junior team members
+ Excellent problem solving and communication skills
+ Nice to have
+ M.S. in Computer Science with an AI / ML research focus and publications in top-tier journals and conferences.
+ Knowledge of the healthcare domain and experience with applying AI to healthcare data
+ Experience with AWS especially in relation to ML workflows with SageMaker, serverless compute and storage such as S3 and Snowflake
+ Experience with LLMs, prompt engineering, retrieval augmented generation, model fine tuning and knowledge graphs
**Our Guiding Principles 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.
**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
Education benefits
Paid parental leave
Paid time off
**_*Please Note - All candidates must be authorized to work in the United States. We do not provide visa sponsorship or transfers. We are not currently accepting candidates who are on an OPT visa.*_**
The expected base salary for this position ranges from $100,000 to $130,000. 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 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.
All legitimate roles with Norstella will be posted on Norstella's job board which is located at norstella.com/careers. If a role is not posted on this job board, a candidate should assume the role is not a legitimate role with Norstella. Norstella is not responsible for an application that may be submitted by or through a third-party and candidates should proceed with extreme caution if a third-party approaches them about an open role with Norstella. Norstella will never ask for anything of value or any type of payment during or as part of any recruitment, interview, or pre-hire onboarding process. If you are aware of or have reason to believe a job posting purportedly for a role with Norstella is fraudulent or otherwise not authorized by Norstella, please contact the Company using the following email address: [email protected] .
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.
Data Scientist Level 3
Data Science Internship Job In Urban Honolulu, HI
* Employ some combination (2 or more) of the following skill areas: * Foundations: (Mathematical, Computational, Statistical) * Data Processing: (Data management and curation, data description and visualization, workflow, and reproducibility)
* Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations)
* Devise strategies for extracting meaning and value from large datasets
* Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application-specific knowledge
* Through analytic modeling, statistical analysis, programming, and/or other appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in customer data holdings
* Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist other with drawing appropriate conclusions from the analysis of such data
* Effectively communicate complex technical information to non-technical audiences
* Make informed recommendations regarding competing technical solutions by maintaining awareness of constantly shifting collection, processing, storage and analytic capabilities and limitations
Required Skills:
* US Citizens Only
* Active TS/SCI Clearance and Polygraph required
* Information Assurance Certification may be required
* Minimum of ten (10) years of relevant experience and a Bachelor's degree or twelve (12) years of relevant experience and an Associate's degree required.
* Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science
* A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university
* Relevant experience must be two of more of the following:
* Designing/implementing machine learning
* Data science
* Advanced analytical algorithms
* Programming (skill in at least one high-level language (e.g., Python))
* Statistical analysis (e.g., variability, sampling error, inference, hypothesis testing, EDA, application of linear models)
* Data management (e.g., data cleaning and transformation)
* Data mining
* Data modeling and assessment
* Artificial intelligence
* Software engineering
Salary Range: $55,155.21 - $121,253.45
Data Analyst
Data Science Internship Job In Urban Honolulu, HI
Data Analyst
Classification: Exempt Department: Information Technology
Reports To: Clinical Applications Manager
The Data Analyst will play a critical role in enabling data-driven decision-making across the organization. This position is responsible for gathering, analyzing, and reporting data from multiple sources, including Oracle Health (Cerner) DA2 and Tableau, to provide actionable insights for department managers. The analyst will also provide limited support for the Healthslide Boomerang interface engine, assisting with interface monitoring and troubleshooting as needed.
The role supports clinical and administrative teams to improve patient care, operational efficiency, and financial performance in an inpatient rehabilitation facility (IRF) setting. The ideal candidate will possess strong technical skills, healthcare experience, and a proactive approach to problem-solving and communication.
Starting Wage: $62,935.14/annual. The posted wage is the current starting wage for this position. Actual wage is dependent on the applicant's relevant experience and qualifications for this position. The wage range for this position may be subject to change in the future depending on a variety of factors such as market conditions, business needs, legal developments, and other appropriate factors.
REQUIRED QUALIFICATIONS:
Certification/Licensure:
Valid State of Hawaii driver's license
Education:
Bachelor's degree in Data Analytics, Healthcare Administration, Computer Science, Information Systems, or a related field. A Master's degree is a plus.
Skills/Experience:
Hands-on experience with Oracle Health (Cerner) DA2 and Tableau.
2+ years of experience in data analysis, business intelligence, or a related role, preferably in a healthcare environment.
Familiarity with healthcare interface engines and data standards (e.g., HL7, FHIR) is a plus.
Experience with healthcare data governance and reporting processes.
Strong analytical and problem-solving skills.
Excellent communication skills, with the ability to convey complex data insights to non-technical stakeholders.
Self-motivated with the ability to manage multiple projects and meet deadlines.
CORE VALUES
Our team models REHAB's core values H.E.A.R.T. in daily actions. Honesty - Speak and act with truth and respect. Engagement - Embrace and commit to our mission, vision and values. Aloha - Serve others with a spirit of kindness and compassion. Resilience - Rebound and recover with a sense of urgency. Teamwork - Work together for success.
ESSENTIAL JOB FUNCTIONS
Extract, clean, and analyze data from various systems, including Oracle Health (Cerner) DA2, Tableau, and other clinical or administrative applications, to meet organizational and departmental needs.
Collaborate with department managers to understand and prioritize data requirements for operational and clinical decision-making.
Develop and maintain dashboards and reports to track key performance indicators (KPIs), such as clinical outcomes, patient satisfaction, and operational efficiency.
Ensure data integrity by performing audits and validation, resolving discrepancies, and improving data accuracy for clinical and administrative reporting.
Provide actionable insights through data analysis to support regulatory compliance, accreditation requirements, and quality improvement initiatives.
Train end-users on data tools, dashboards, and reporting processes to promote self-service analytics and data-driven decision-making
Serve as a liaison between IT, clinical, and administrative teams to ensure alignment on data and reporting priorities.
Stay current on trends in healthcare analytics, reporting tools, and interface management to bring innovative solutions to the organization.
Monitor and provide basic support for the Healthslide Boomerang interface engine, assisting with troubleshooting and maintaining data flow between systems.
Uses sound judgment and ensures patient safety.
Follows and adheres to all organizational and departmental policies and guidelines, code of conduct, and REHAB employee handbook.
Performs other duties as assigned.
PROFESSIONALISM AND COMPLIANCE COMPETENCIES
Maintain a high level of proficiency in the following REHAB competencies.
Job Knowledge
Accountability
Communication and interpersonal/relationship building skills
Adaptability and Problem Solving, Decision Making
Organization and Project Management
EQUIPMENT, TOOLS, WORK AIDS USED
Office equipment, including telephone, computer and multifunction devices (MFDs). Google's G Suite, report writer and database software.
Data Analyst
Data Science Internship Job In Urban Honolulu, HI
Data Analyst
Classification: Exempt Department: Information Technology
Reports To: Clinical Applications Manager
The Data Analyst will play a critical role in enabling data-driven decision-making across the organization. This position is responsible for gathering, analyzing, and reporting data from multiple sources, including Oracle Health (Cerner) DA2 and Tableau, to provide actionable insights for department managers. The analyst will also provide limited support for the Healthslide Boomerang interface engine, assisting with interface monitoring and troubleshooting as needed.
The role supports clinical and administrative teams to improve patient care, operational efficiency, and financial performance in an inpatient rehabilitation facility (IRF) setting. The ideal candidate will possess strong technical skills, healthcare experience, and a proactive approach to problem-solving and communication.
Starting Wage: $62,935.14/annual. The posted wage is the current starting wage for this position. Actual wage is dependent on the applicant's relevant experience and qualifications for this position. The wage range for this position may be subject to change in the future depending on a variety of factors such as market conditions, business needs, legal developments, and other appropriate factors.
REQUIRED QUALIFICATIONS:
Certification/Licensure:
Valid State of Hawaii driver's license
Education:
Bachelor's degree in Data Analytics, Healthcare Administration, Computer Science, Information Systems, or a related field. A Master's degree is a plus.
Skills/Experience:
Hands-on experience with Oracle Health (Cerner) DA2 and Tableau.
2+ years of experience in data analysis, business intelligence, or a related role, preferably in a healthcare environment.
Familiarity with healthcare interface engines and data standards (e.g., HL7, FHIR) is a plus.
Experience with healthcare data governance and reporting processes.
Strong analytical and problem-solving skills.
Excellent communication skills, with the ability to convey complex data insights to non-technical stakeholders.
Self-motivated with the ability to manage multiple projects and meet deadlines.
CORE VALUES
Our team models REHAB's core values H.E.A.R.T. in daily actions. Honesty - Speak and act with truth and respect. Engagement - Embrace and commit to our mission, vision and values. Aloha - Serve others with a spirit of kindness and compassion. Resilience - Rebound and recover with a sense of urgency. Teamwork - Work together for success.
ESSENTIAL JOB FUNCTIONS
Extract, clean, and analyze data from various systems, including Oracle Health (Cerner) DA2, Tableau, and other clinical or administrative applications, to meet organizational and departmental needs.
Collaborate with department managers to understand and prioritize data requirements for operational and clinical decision-making.
Develop and maintain dashboards and reports to track key performance indicators (KPIs), such as clinical outcomes, patient satisfaction, and operational efficiency.
Ensure data integrity by performing audits and validation, resolving discrepancies, and improving data accuracy for clinical and administrative reporting.
Provide actionable insights through data analysis to support regulatory compliance, accreditation requirements, and quality improvement initiatives.
Train end-users on data tools, dashboards, and reporting processes to promote self-service analytics and data-driven decision-making
Serve as a liaison between IT, clinical, and administrative teams to ensure alignment on data and reporting priorities.
Stay current on trends in healthcare analytics, reporting tools, and interface management to bring innovative solutions to the organization.
Monitor and provide basic support for the Healthslide Boomerang interface engine, assisting with troubleshooting and maintaining data flow between systems.
Uses sound judgment and ensures patient safety.
Follows and adheres to all organizational and departmental policies and guidelines, code of conduct, and REHAB employee handbook.
Performs other duties as assigned.
PROFESSIONALISM AND COMPLIANCE COMPETENCIES
Maintain a high level of proficiency in the following REHAB competencies.
Job Knowledge
Accountability
Communication and interpersonal/relationship building skills
Adaptability and Problem Solving, Decision Making
Organization and Project Management
EQUIPMENT, TOOLS, WORK AIDS USED
Office equipment, including telephone, computer and multifunction devices (MFDs). Google's G Suite, report writer and database software.
Full Stack Data Scientist
Data Science Internship Job In Urban Honolulu, HI
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
Data Science Internship Job In Urban Honolulu, HI
**Responsibilities** Professionals in data science are responsible for extracting insights and value from large and complex datasets to inform decision-making and drive innovation within organizations. They utilize their expertise in statistics, machine learning, and data analysis techniques to identify trends, patterns, and relationships in data and develop predictive models and actionable insights. Typical responsibilities include collecting and cleaning data from various sources, performing exploratory data analysis to understand data characteristics and relationships, and applying statistical and machine learning algorithms to analyze data and extract insights. Data science roles also involve developing and deploying data-driven solutions and models to solve business problems and optimize processes, and communicating findings and recommendations to stakeholders in a clear and understandable manner. Additionally, professionals may be involved in designing and implementing data pipelines and infrastructure to support data processing and analysis, and collaborating with cross-functional teams, such as software engineers, business analysts, and domain experts, to integrate data science solutions into applications and workflows. Their expertise in areas such as programming languages (e.g., Python, R), data visualization tools, and domain-specific knowledge enables organizations to harness the power of data to drive strategic decision-making, improve efficiency, and gain competitive advantage.
This position sits at the forefront of artificial intelligence and data analytics. You will be responsible for designing and developing AI and machine learning capabilities for our growing client base. You should have strong programming skills and must have professional experience in one or more of the following areas:
+ Natural Language Processing
+ Deep Learning
+ Neural Networks
You will join a team of experienced engineers, scientists and entrepreneurs bringing practical AI solutions to support innovation with our federal customers. As part of the team, you will work closely with government clients to understand current issues and challenges, conduct rigorous data analysis, design and build solutions, and foster the clear understanding of the results.
Your responsibilities will include:
+ Designing and developing machine learning models
+ Running AI and machine learning tests and experiments
+ Evaluating new techniques and making technical recommendations
+ Running numerous experiments in a fast-paced and fun environment
+ Mentoring junior data analytics and machine learning engineers to improve their technical skills
**Required Qualifications**
+ Bachelors in Computer Science, Engineering, or related and 0 years of experience.
+ Programming experience with TensorFlow, C++, PyTorch, Python and R.
+ Ability to help visualize the data for analysis and to display results.
+ Experience with Large Language Models, Vector and Graph databases.
+ Excellent interpersonal skills and ability to get along with data scientists, engineers, and customers at all levels.
+ Ability to work in a dynamic team-oriented environment, demonstrate teamwork and initiative, and function productively in a dynamic work environment.
**Desired Qualifications**
+ Experience performing analysis of data through use of mathematical equations, sortation, tools, and optimization techniques.
+ Experience in quantitative research.
**Overview**
Noblis (*********************** and our wholly owned subsidiaries, Noblis ESI , and Noblis MSD tackle the nation's toughest problems and apply advanced solutions to our clients' most critical missions. We bring the best of scientific thought, management, and engineering expertise together in an environment of independence and objectivity to deliver enduring impact on federal missions. Noblis works with a wide range of government clients in the defense, intelligence and federal civil sectors. Noblis -About Us (*****************************************
**Why work at a Noblis company?**
Our employees find greater meaning in their work and balance the other things in life that matter to them. Our people are our greatest asset. They are exceptionally skilled, knowledgeable, team-oriented, and mission-driven individuals who want to do work that matters and benefits the public. Noblis has won numerous workplace awards (************************************ . Noblis maintains a drug-free workplace.
* _Remote/hybrid status is subject to change based on Noblis and/or government requirements_
**Total Rewards**
At Noblis we recognize and reward your contributions, provide you with growth opportunities, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, and work-life programs. Our award programs acknowledge employees for exceptional performance and superior demonstration of our service standards. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in our benefit programs. Other offerings may be provided for employees not within this category. We encourage you to learn more about our total benefits by visiting the Benefits (************************************* page on our Careers (**************************** site.
Compensation at Noblis is determined by various factors, including but not limited to, the combination of education, certifications, knowledge, skills, competencies, and experience, internal and external equity, location, clearance level, as well as contract-specific affordability, organizational requirements and applicable employment laws. The projected compensation range for this position is based on full time status. For part time or on-call staff, compensation is proportionately adjusted based on hours worked. While monetary compensation is important, it's just one component of Noblis' total compensation package.
**Posted Salary Range**
USD $70,000.00 - USD $109,375.00 /Yr.
**Equal Employment Opportunity**
Noblis is an Equal Opportunity Employer. Employment decisions are made without regard to race (as well as because of or on the basis of traits historically associated with race, including hair texture, hair type, and protective hairstyles such as braids, locks, and twists), color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, pregnancy, childbirth, lactation and related medical conditions, genetic factors, military/veteran status, or other characteristics protected by law.
Noblis is committed to the full inclusion of all qualified individuals. As part of this commitment, Noblis will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact ********************************* **.**
**Apply for this job**
Make a Referral (****************************************************************************************************************
**Connect With Us!**
Want to know about available job opportunities at Noblis? Want to receive personalized alerts with jobs that match your skills and interests? Join the Noblis Talent Connection.
**Posted Date** _5 months ago_ _(9/3/2024 8:47 AM)_
**_Requisition #_** _24053_
**_Security Clearance_** _None_
**_Employment Type_** _Full Time_
**_Portal Location : Location_** _US-Remote_
**_Telework Options_** _Remote_
**_Company_** _Noblis_
Data Scientist 3 (CCAs Accepted)
Data Science Internship Job In Urban Honolulu, HI
At Wyetech, you'll be at the center of an award-winning corporate culture, breaking technological barriers and solving real-world problems for our federal government customers. We are committed to hiring the best of the best, and in return, we offer a world-class, truly unique employee experience that is rare within our industry.
Devise strategies for extracting meaning and value from large datasets. Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge. Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in Agency data holdings. Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data. Effectively communicate complex technical information to non-technical audiences. Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly-shifting Agency collection, processing, storage and analytic capabilities and limitations.
Employ some combination (2 or more) of the following skill areas:
I. Foundations: (Mathematical, Computational, Statistical)
2. Data Processing: (Data management and curation, data description and visualization, workflow and reproducibility)
3. Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations)
Due to federal contract requirements, United States Citizenship and position appropriate security clearance is required. (e.g. Active TS/SCI security clearance with agency appropriate polygraph).
Required QualificationsTS/SCI with agency appropriate poly Bachelor's Degree with 10 years of relevant experience Associates degree with 12 years of relevant experience Bachelor's Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g. algorithms, programming, , data structures, data mining, artificial intelligence). College-level requirement, or upper-level math courses designated as elementary or basic do not countA 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
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.
$65.83 - $126.96 an hour
Pay Range: $65.83 - $126.96 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.
Data Scientist 3 (CCAs Accepted)
Data Science Internship Job In Urban Honolulu, HI
At Wyetech, you'll be at the center of an award-winning corporate culture, breaking technological barriers and solving real-world problems for our federal government customers. We are committed to hiring the best of the best, and in return, we offer a world-class, truly unique employee experience that is rare within our industry.
Devise strategies for extracting meaning and value from large datasets. Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge. Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in Agency data holdings. Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data. Effectively communicate complex technical information to non-technical audiences. Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly-shifting Agency collection, processing, storage and analytic capabilities and limitations.
Employ some combination (2 or more) of the following skill areas:I. Foundations: (Mathematical, Computational, Statistical) 2. Data Processing: (Data management and curation, data description and visualization, workflow and reproducibility)3. Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations)
Due to federal contract requirements, United States Citizenship and position appropriate security clearance is required. (e.g. Active TS/SCI security clearance with agency appropriate polygraph).
Required Qualifications
TS/SCI with agency appropriate poly
Bachelor's Degree with 10 years of relevant experience
Associates degree with 12 years of relevant experience
Bachelor's Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g. algorithms, programming, , data structures, data mining, artificial intelligence). College-level requirement, or upper-level math courses designated as elementary or basic do not count
A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university
Relevant Experience
Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g. Python)), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering. Experience in more than one area is strongly preferred
The Benefits Package
Wyetech believes in generously supporting employees as they prepare for retirement. The company automatically contributes 20% of each employee's gross compensation to a Simplified Employee Pension (SEP) IRA, with no requirement for employee matching. All contributions are fully vested from day one, ensuring immediate ownership of retirement funds.
Additional benefits include:
Wyetech provides a generous PTO plan of up to 200 hours annually, aligned with applicable state leave regulations. Employees have the flexibility to adjust their PTO allocation at the start of each calendar year, ensuring it meets their evolving needs.
Full-time employees have the option to participate in a variety of voluntary benefit plans including:
A Choice of Medical Plan Options, some with Health Savings Account (HSA)
Vision and Dental
Life and AD&D Benefits
Short and Long-Term Disability
Hospital Indemnity, Accident, and Critical Illness Insurances
Optional Identity Theft and Legal Protection Services
Company Environment & Perks
Employee Referral Bonus Eligibility up to $10,000
Mobility Among Wyetech-supported Contracts
Various contract and work locations throughout Maryland, Virginia, Colorado, Texas, Utah, Alaska, Hawaii and OCONUS
Various team-building events throughout the year such as: monthly lunches, summer company picnic, and an annual holiday party.
Employees receive two complementary branded clothing orders annually.
$65.83 - $126.96 an hour
Pay Range: $65.83 - $126.96 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.
Research/Data Scientist Biostatistician
Data Science Internship Job In Urban Honolulu, HI
Join our team to revolutionize healthcare! As a biostatistician, you will gather, analyze, and interpret diverse datasets related to biological research and processes. Develop statistical methods and models to generate valuable insights for Kaiser Permanente and outside organizations. Identify and analyze healthcare data from multiple sources and apply statistical methodologies to examine clinical outcomes. Collaborate effectively with physicians, providers, software engineers, and business managers to communicate and present findings in support of clinical research and education. Provide consultative research support for physicians and providers, advising on the research process in preparation for the Internal Review Board (IRB).
Target Start Date: May 2025
JOB DUTIES
Drives impactful research by providing SAS/analytical programming and data management support for a variety of research projects.
Identifies innovative data collection methods and techniques; designs, develops, and directs statistical and analytical approaches for groundbreaking research projects and proposals.
Presents complex data through reports, presentations, and scientific publications in an understandable manner for non-statisticians.
Consults on statistical approaches and performs robust statistical analyses.
Collaborates seamlessly with physicians, providers, epidemiologists, statisticians, business managers, and software engineers to translate data into actionable insights that transform healthcare.
Engages actively with physicians to scope research ideas, develop evaluation plans, and manage projects from start to finish, including IRB applications and compliance with local regulations.
Partners with investigators on research methodologies, study design, data analytics, and biostatistics.
Automates and reports solutions for stakeholders; analyzes and scrubs data for accuracy; and communicates and presents findings.
Identifies and secures potential medical grants and funding opportunities, develops and submits proposals, data, and research.
Develops, reviews and refines scientific documents to support grant applications and publications.
POSITION REQUIREMENTS
Master's degree in Biostatistics, Statistics, Public Health, Data Science, or related field.
3-5 years of experience in multivariate data analysis, including logistic regression, linear regression, cluster analysis, Cox proportional hazard analysis, GEE, and hierarchical models.
Proficient in SQL for complex data extraction and processing.
Experienced with statistical analysis software (SAS, R, SPSS) to build and validate algorithms and perform statistical analysis.
Skilled in linking data from large electronic medical records, such as EPIC, to conduct health research.
Strong consulting skills to support physicians/providers in developing and planning research projects.
Proficient in MS Excel, with strong proficiency with creating pivot tables, and MS Office programs.
Exceptional communicator with strong written and verbal communication skills.
Detail-oriented and organized with a passion for improving healthcare delivery.
The pay scale for this position starts at
$
93,492.00 per year. Compensation is commensurate with qualifications.
Our market-leading benefit package includes: 100% employer paid comprehensive family medical and dental insurance, robust retirement programs (pension + profit-sharing/401k plan, post-retirement medical & life insurance), paid time off, extended sick leave, 11 holidays, life insurance, identity theft protection, employee assistance program, other paid leaves and optional insurance offerings.
HPMG is committed to cultivating a culture of diversity and preserving an inclusive environment for all physicians and employees. We are an equal opportunity employer and VEVRAA federal contractor.
Data Voice Analyst
Data Science Internship Job In Urban Honolulu, HI
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.
+ 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.
+ Support Services shall be executed in compliance with processing and program guidelines published by Customer.
Minimum Qualifications
+ High School Diploma or GED
+ 0-2 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 quality data entry.
+ Proficient in using various intake methods and comfortable working with technology.
+ Strong organizational skills and the ability to manage a high volume of orders.
+ Strong written and verbal communication skills.
+ Strong listening ability to interpret and clarify information being provided.
+ 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.
$16.54 - $23.00/hr
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.
Mission Development MBA Intern (2025)
Data Science Internship Job In Urban Honolulu, HI
Vannevar Labs supports people on the front lines by building tools that deter and de-escalate conflict with America's adversaries. We build software and hardware for this mission that enable our customers to maintain maritime vigilance, disrupt misinformation, and collect non-traditional intelligence. In strategic competition, the intelligence and actions that shape conflict occur well before war itself. We build tools to win this fight now.
This mission has become urgent. The US and our allies are fighting a war of deterrence with woefully outdated technology. As a team, we believe in public service and that our democracy and government improve only if we put serious, collective effort into improving them, including the technology our government uses.
Since our founding in 2019, we have grown to support a wide range of missions and capabilities across all U.S. service branches, multiple combatant commands, partner nations, and the intelligence community. We have been profitable since 2021, and are backed by investors including General Catalyst, DFJ Growth, Point72, Costanoa, and Felicis.
Vannevar Labs is seeking business development interns to work in Hawaii and Washington, D.C. for the 2025 summer. We will cover relocation costs.
About the role
Develop mission engagements. With support from tenured mission development mentors, you will identify DoD mission groups that need our technology and develop partnerships with them to drive deployments of our software in support of their mission.
Scope and implement pilots with our partners. You will help each mission group determine the scope of a pilot engagement and navigate the group's internal bureaucracy to implement the pilot.
Expand successful pilots into larger projects. You will convert the pilot's tangible outcomes generated by our mission success team in partnership with the mission group into a shared roadmap for expanding the pilot into a sustained capability.
What you'll do
Get our software into the hands of mission users who need it by identifying mission groups with a problem our technology can solve and enabling them understand the technology's value
Work hands-on with our partners to help them navigate complex organizational, contracting and budget pathways to implement a pilot or project
Enable DoD senior-level visibility on mission wins generated through our pilots and projects and develop a shared roadmap with our partners for converting these mission wins into larger-scale projects
What we're looking for
Incoming, first or second year MBA students interested in business development and national security, intelligence or defense.
A motivated problem solver who takes ownership, acts with urgency, and is comfortable with ambiguity. You like a challenge, and you don't quit.
Prior DoD mission user experience, domain knowledge, or military service. You understand our partners' organizational constructs and challenges because you lived them.
U.S. Persons status is required; active security clearance is required.
What we offer
The salary range for this position is competitive with market rates. Individual pay is determined by experience, relevant education, and/or training and interview performance.
Vannevar Labs is an equal opportunity employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. We encourage candidates from all backgrounds to apply, even if you don't feel like you're a perfect fit. If you're passionate about contributing to our mission, we'd love to hear from you! IMPORTANT NOTICE
We are committed to protecting the privacy of all applicants. Official emails from the company will come from ******************** domain. Under no circumstances will a legitimate representative from our company contact you to request passwords, financial information, or other sensitive personal data. Please be vigilant of potential scams.
Sales & Marketing Intern (Summer 2025)
Data Science Internship Job In Urban Honolulu, HI
** At Western Digital, we are on a mission to unlock the potential of data so people, companies and organizations everywhere can create what's next. To fulfill our vision, we are always on the lookout for potential team members who share our passion for solving problems to empower others.
When you join Western Digital, you join a legacy more than 50 years in the making. Across our Western Digital , SanDisk , SanDisk Professional, WD and WD_BLACK brands, we have brought some of the most storied advancements in memory and data storage technology to market-and our best, most innovative work is yet to come.
From energizing gaming platforms, to enabling systems to make cities safer and cars smarter and more connected, to powering the data centers behind many of the world's biggest companies and public cloud, Western Digital is fueling a brighter, smarter future.
Here's how you can help.
**Job Description**
**IMPORTANT INFORMATION:**
Based on our experience, we anticipate that the application deadline will be **THURSDAY, APRIL 3, 2025 at 11:59pm PST** (~3 months from posting), although we reserve the right to close the application process sooner if we hire an applicant for this position before the application deadline. If we are not able to hire someone from this role before the application deadline, we will update this posting with a new anticipated application deadline.
__________________________________________________________________
As a **Sales & Marketing Intern** , you will play a vital role in supporting our sales and marketing teams by assisting with market research, customer engagement, and promotional activities. This internship is an excellent opportunity for Juniors looking to gain hands-on experience in the data storage industry.
**KEY RESPONSIBILITIES:**
+ Assist in market research and competitor analysis to identify industry trends, emerging technologies, and key opportunities to keep sales teams informed.
+ Conduct customer and market research to understand pain points and refine messaging.
+ Support the sales team with lead generation & customer outreach.
+ Work on marketing campaigns, including social media, email marketing, and content creation.
+ Help create promotional materials, presentations, and competitive intelligence reports.
+ Analyze campaign performance and provide insights for optimization.
**Qualifications**
**REQUIRED:**
+ Currently pursuing a Bachelor's degree in Business, Marketing, Communications, or a related field with a graduation date of December 2025 and beyond
+ Available for full-time 12-week internship from May/June - August/September 2025
+ Strong analytical and research skills with a keen interest in technology and data storage solutions.
+ Creative thinker with attention to detail and problem-solving skills.
+ Excellent verbal and written communication skills.
+ Proficiency in Microsoft Office (Excel, PowerPoint, Word)
+ Prioritizing, time management and organizational skills
+ Relationship management skills and openness to feedback
**PREFERRED:**
+ Knowledge/Experience in market research or marketing program management
+ Ability to work independently and collaboratively in a fast-paced environment.
+ Ideal candidate is comfortable working in a fast-paced environment, exhibits confidence in social environments, and has demonstrated ability to work well with others through clubs, sports, and other extracurricular activities
**Additional Information**
Western Digital is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person's gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person's assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the "Know Your Rights: Workplace Discrimination is Illegal (************************************************************************************** " poster. Our pay transparency policy is available here (*********************************************************************************************** .
Western Digital thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.
Western Digital is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at jobs.accommodations@wdc.com to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
\#LI-TG1
Marketing Intern (part-time)
Data Science Internship Job In Urban Honolulu, HI
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
Internships in Data Science, Operations Research, Math and Statistics
Data Science Internship Job In Urban Honolulu, HI
Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges-and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day-working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities for career growth, and a culture of innovation that embraces adaptability, collaboration, technical excellence, and people in partnership. If this sounds like the choice you want to make, then choose MITRE - and make a difference with us.
NOTE: Thank you for your interest in MITRE's internship opportunities. Please be aware that this is not an application for a specific position. By submitting your information and providing your resume, you will be included in a pool of candidates for various internship roles across the company. If you are selected for consideration for a particular internship, a member of MITRE's Student Programs team will reach out to you. The primary hiring season for MITRE internships runs from September through March. You can monitor your application status here: Workday (myworkdayjobs.com).
Job Description
Data-driven, intelligent systems can bring immense computing power to bear, revealing insights across datasets too massive for humans to synthesize. We help our customers to build and enable those systems by creating trusted data engineering architectures, machine learning algorithms, and analytic techniques that put the power of big data at our users' fingertips while leverage deep expertise in human decision-making and collaboration to best pair humans and machines.
As an Intern working in data science, operations research, math and statistics, you will work with a team to apply your knowledge and gain experience with one or more of the following:
+ Data analysis and visualization
+ Augmented decision making and trusted analytics
+ Applied mathematics, statistics, and optimization
+ Simulation and computational analytics
+ Systems modeling and analysis
+ Operational effectiveness and efficiency
+ Knowledge discovery
+ Next-gen data environments
Basic Qualifications
+ Must be a student enrolled full-time pursuing an accredited degree seeking program in Data Science or a related degree program and continue to be enrolled full-time the semester following the internship
+ Knowledge of how retrieve data from databases and other systems and tools using queries, exporting capabilities, and other effective methods
+ Understanding of or experience with statistical software and data visualization tools such as R, SPSS, SAS, and UNIX shell scripting
+ Sustained excellence in academic performance
Preferred Qualifications
+ Experience having applied data science learning to an internship or research/lab position
+ Experience retrieving data from databases and other systems and tools using queries, exporting capabilities, and other effective methods
+ Experience with statistical software and data visualization tools such as R, SPSS, SAS, and UNIX shell scripting
+ Proficiency in one or more of the following: Python (scikit-learn, NumPy, pandas, Jupyter), Scala/Java, C/C++/C#, Objective C; database design & development (SQL, Neo4J, MongoDB); AWS
+ Demonstrated interest in serving the public
Clearance: In addition to passing MITRE's employment background check, you may be submitted for a U.S. Government Security clearance. This is determined by the Department of Defense's adjudicative guidelines for receiving a clearance, to include U.S. citizenship. Other jobs may require vetting for various levels of agency public trust, fitness, suitability, controlled access, and special programs access determination consistent with the work program to which you are assigned.
This requisition requires the candidate to have a minimum of the following clearance(s):
This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s):
Salary compensation range and midpoint:
$33,000 - $41,500 - $50,000 Annual
Work Location Type:
Hybrid
MITRE is proud to be an equal opportunity employer. MITRE recruits, employs, trains, compensates, and promotes regardless of age; ancestry; color; family medical or genetic information; gender identity and expression; marital, military, or veteran status; national and ethnic origin; physical or mental disability; political affiliation; pregnancy; race; religion; sex; sexual orientation; and any other protected characteristics. For further information please visit the Equal Employment Opportunity Commission website EEO is the Law Poster (****************************************************************************************** and Pay Transparency (*********************************************************************************************** .
MITRE intends to maintain a website that is fully accessible to all individuals. If you are unable to search or apply for jobs and would like to request a reasonable accommodation for any part of MITRE's employment process, please email ************************ .
Copyright © 2025, The MITRE Corporation. All rights reserved. MITRE is a registered trademark of The MITRE Corporation. Material on this site may be copied and distributed with permission only.
Benefits information may be found here (*****************************************
Data Scientist (Technical Leadership)
Data Science Internship Job In Urban Honolulu, HI
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 diverse set 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 diverse 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.
Data Scientist Level 3
Data Science Internship Job In Urban Honolulu, HI
Employ some combination (2 or more) of the following skill areas:
Foundations: (Mathematical, Computational, Statistical)
Data Processing: (Data management and curation, data description and visualization, workflow, and reproducibility)
Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations)
Devise strategies for extracting meaning and value from large datasets
Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application-specific knowledge
Through analytic modeling, statistical analysis, programming, and/or other appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in customer data holdings
Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist other with drawing appropriate conclusions from the analysis of such data
Effectively communicate complex technical information to non-technical audiences
Make informed recommendations regarding competing technical solutions by maintaining awareness of constantly shifting collection, processing, storage and analytic capabilities and limitations
Required Skills:
US Citizens Only
Active TS/SCI Clearance and Polygraph required
Information Assurance Certification may be required
Minimum of ten (10) years of relevant experience and a Bachelor's degree or twelve (12) years of relevant experience and an Associate's degree required.
Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science
A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university
Relevant experience must be two of more of the following:
Designing/implementing machine learning
Data science
Advanced analytical algorithms
Programming (skill in at least one high-level language (e.g., Python))
Statistical analysis (e.g., variability, sampling error, inference, hypothesis testing, EDA, application of linear models)
Data management (e.g., data cleaning and transformation)
Data mining
Data modeling and assessment
Artificial intelligence
Software engineering
Salary Range: $55,155.21 - $121,253.45
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Pay ranges are a general guideline only and not intended as a guaranteed and/or implied final compensation or salary for this job opening. Determination of official compensation or salary relies on several different factors including, but not limited to: level of position, complexity of job responsibilities, geographic location, candidate's scope of relevant work experience, educational background, certifications, contract-specific affordability, organizational requirements and alignment with local market data.
Our compensation package also includes other indirect financial components designed to support employees' total well-being, which should be considered when evaluating our competitive benefits package. These monetary benefits include medical insurance, life insurance, disability, paid time off, maternity/paternity leave, 401(k) company match, training/education reimbursements and other work/life programs.
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IntelliGenesis is committed to providing equal opportunity to all employees and applicants for employment. The Company is an Equal Opportunity Employer (EOE), and as such, does not tolerate discrimination, retaliation, or harassment of its employees or applicants based upon race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability, or any other protected characteristic under local, state, or federal law in any employment practice. Such employment practices include, but are not limited to: hiring, promotion, demotion, transfer, recruitment, or recruitment advertising, selection, disciplinary action,
IntelliGenesis is committed to the fair and equal employment of individuals with disabilities. It is the Company's policy to reasonably accommodate qualified individuals with disabilities unless the accommodation would impose an undue hardship on the organization. In accordance with the Americans with Disabilities Act (ADA) as amended, reasonable accommodations will be provided to qualified individuals with disabilities, when such accommodations are necessary, to enable them to perform the essential functions of their jobs or to enjoy the equal benefits and privileges of employment. This policy applies to all applicants for employment and all employees.