Data Governance Analyst
Data science internship job in Las Vegas, NV
As the Data Governance Analyst, you will be responsible for the following:
Responsibilities:
Develop and implement data governance policies and procedures.
Monitor data quality and identify improvement opportunities.
Collaborate with data owners and stewards to uphold data standards.
Create and maintain data dictionaries and metadata repositories.
Support compliance with regulations (e.g., GDPR, CCPA) and resolve data-related issues.
Respond to requests for assistance related to internally developed SQL processes.
Troubleshoot data-related questions by reviewing SQL procedures and identifying optimizations or advising processes from internal app development.
Collect and document requirements on Data development initiatives from business stakeholders.
Collaborate with Business Intelligence and Data Engineering team to write SQL queries for ad-hoc inquiries or integration into store procedures.
Customarily and regularly identifies, analyzes, and interprets trends or patterns in complex data sets.
Utilizes version control tools to maintain a structured and organized workflow; collaborates with the development team and follows best practices to ensure proper documentation, testing, and deployment.
Performs other related duties as assigned.
Qualifications
5+ years of Data Governance Analyst with SQL programming, database systems, and Data analysis work experience.
Experience working in SOX and PCI/PII environments
Highly organized individual with excellent communication, organization, and analytical skills, and ability to work collaboratively with various cross- functional teams.
Computer / Technical Skills:
Advanced proficiency in Microsoft Office applications, especially Word, and Excel.
Experience working with Databricks, AWS S3, Azure
T-SQL Programming
Bachelor's Degree in Computer Science, Business Administration, Information Systems, or a combination of education and equivalent work experience in a related field required.
Undergraduate Science Internship (Associate in Science - Levels I - IV)
Data science internship job in North Las Vegas, NV
Mission Support and Test Services, LLC (MSTS) manages and operates the Nevada National Security Site (NNSS) for the U.S. National Nuclear Security Administration (NNSA). Our MISSION is to help ensure the security of the United States and its allies by providing high-hazard experimentation and incident response capabilities through operations, engineering, education, field, and integration services and by acting as environmental stewards to the Site's Cold War legacy. Our VISION is to be the user site of choice for large-scale, high-hazard, national security experimentation, with premier facilities and capabilities below ground, on the ground, and in the air. (See NNSS.gov for our unique capabilities.) Our 2,750+ professional, craft, and support employees are called upon to innovate, collaborate, and deliver on some of the more difficult nuclear security challenges facing the world today.
MSTS offers our regular, full-time employees highly competitive salaries and benefits packages including medical, dental, and vision; both a pension and a 401k; paid time off and 96 hours of paid holidays; relocation (if located more than 75 miles from work location); tuition assistance and reimbursement; and more.
MSTS is a limited liability company consisting of Honeywell International Inc. (Honeywell), Jacobs Engineering Group Inc. (Jacobs), and HII Nuclear Inc.
Due to the nature of our work, US Citizenship is required for all positions.
Completion of the first year of a calculus-based science, technology, engineering, or math (STEM) degree program at an accredited institution, as of the date application is submitted.
Must be actively enrolled in school, as of the date application is submitted.
Must have and maintain a cumulative grade point average of 3.0 on a 4.0 scale, as of the date application is submitted.
Must be located in the contiguous United States.
Must have:
Planning/organizing skills and initiative
Good written and verbal communication skills
Ability to follow directions, both written and verbal, and able to work independently as well as part of a team
Strong computer skills are desired, including MS Office and computer programming.
A pre-placement drug screen, is required
Ability to obtain a HSPD-12 Personal Identity Verification credential under the Department of Energy Order 206.2, ‘
Identity, Credential, and Access Management
,' and Supplemental Directive NNSA SD 206.2, ‘
Implementation of Personal Identity Verification for Uncleared Contractors
.'
MSTS is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability, veteran status or other characteristics protected by law. MSTS is a background screening, drug-free workplace.
Hourly range for this position is $16.38 to $26.37.
Starting salary is determined based on the position market value, the individual candidate education and experience and internal equity.
THIS IS A CASUAL POSITION WORKING A MAXIMUM OF 900 HOURS PER CALENDAR YEAR.
Undergraduate Science Interns will work under the direct supervision of a manager & mentor and will be provided with hands-on participation in ongoing projects at one of the most unique experimental sites in the United States, or one of our outlying location sites.
Internships are available at the following locations:
North Las Vegas, Nevada
Nevada National Security Site (65 miles northwest of Las Vegas, Nevada)
Los Alamos and Albuquerque, New Mexico
Livermore and Santa Barbara, California
Remote Sensing Laboratories at Nellis Air Force Base (Las Vegas, Nevada) or Andrews Air Force Base (Joint Base Andrews, Maryland)
We are looking for qualified and motivated Undergrad students that are pursuing a degree in:
Mathematics
Physics
Chemistry
Health Physics
Geology/Geo-sciences
Duties and Responsibilities (may include and will vary depending on which department you are assigned to):
Build programming code/scripts to computationally process image and/or signal data, e.g. in Python, Matlab, or R. Knowledge of image/signal processing techniques is desired.
Create and give presentations on both project and progress to teammates and management.
Contribute towards professional reports and papers.
Potential for participating in hands-on data acquisition activities depending on project.
Participate on small teams of scientists, engineers, and technicians, to devise technical solutions and provide deliverables to customers.
Perform hands-on work on optical, mechanical, and/or electrical systems including data acquisition and system and/or subsystem fabrication.
Please note these important dates for our 2026 Summer Student Program:
January 30th, 2026 - Last day for student internship applications to be accepted
May 19th, 2026 - Summer internship Student Program begins
August 8th, 2026 - Summer internship Student Program concludes
Auto-ApplyAnalyst Data Governance
Data science internship job in Las Vegas, NV
Sphere Entertainment Co. (NYSE: SPHR) is a premier live entertainment and media company. The Company includes Sphere, a next-generation entertainment medium powered by cutting-edge technologies to redefine the future of entertainment. The first Sphere venue in Las Vegas opened in September 2023. In addition, the Company includes MSG Networks, which operates two regional sports and entertainment networks, MSG Network and MSG Sportsnet, as well as a direct-to-consumer and authenticated streaming product, MSG+, delivering a wide range of live sports content and other programming. More information is available at sphereentertainmentco.com.
Who are we hiring?
The Analyst Data Governance will be responsible for developing, implementing, and maintaining data governance frameworks and practices to ensure the integrity, quality, and security of the sphere's data assets. This position will collaborate with various stakeholders to promote effective data management.
What will you do?
* Create and maintain data governance policies, standards, and procedures to ensure consistent data management practices.
* Conduct regular assessments of data quality and integrity, identifying issues and recommending improvements.
* Partner with data stewards and Sphere revenue teams to facilitate adherence to data governance practices and standards.
* Ensure compliance with relevant data protection regulations (e.g., GDPR, CCPA) and internal policies.
* Maintain comprehensive documentation, including data dictionaries, metadata, and governance frameworks.
* Provide training and support to staff on data governance policies, tools, and best practices.
* Assist in the creation and management of a data catalog to enhance data discoverability and usability.
* Define and track key performance indicators (KPIs) to assess the effectiveness of data governance initiatives.
What do you need to succeed?
* Bachelor's degree in Data Science, Information Management, Business Administration, or a related field.
* Minimum 4 years of experience in data governance, data quality, data management, or related domain.
* 2+ years of experience with SQL, Python or other programming languages.
* Experience with data governance tools (e.g., Alation) and data visualization software (e.g., Tableau, Power BI).
* Proven experience developing data governance processes in complex organizations-especially where no prior framework existed.
* Strong understanding of data management principles, metadata, master data, and data lineage.
* Excellent critical thinking, problem-solving, and analytical skills.
* Ability to translate technical concepts into business-friendly language.
* Strong communication and stakeholder-management skills across technical and non-technical teams.
#LI-Onsite
Pay Range
$65,000-$90,000 USD
At MSG, we recognize the importance of upskilling employees' talents and strengths so they can drive their careers forward. We are proud to offer a robust set of tools and resources to help employees understand their interests and purpose, harness their talents and obtain the skills they need to reach the next step in their careers. Growth and longevity for our employees are top priorities here.
We value diversity and are looking for extraordinary employees of all backgrounds! MSG is an Equal Opportunity Employer and provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, sexual and reproductive health choices, national origin, citizenship, age, genetic information, disability, or veteran status. In addition to federal law mandates, MSG complies with all applicable state and local laws governing nondiscrimination in all locations and will consider requests for reasonable accommodations as required.
Auto-ApplyLead Data Scientist GenAI, Strategic Analytics - Data Science
Data science internship job in Las Vegas, NV
Deloitte is at the leading edge of GenAI innovation, transforming Strategic Analytics and shaping the future of Finance. We invite applications from highly skilled and experienced Lead Data Scientists ready to drive the development of our next-generation GenAI solutions.
The Team
Strategic Analytics is a dynamic part of our Finance FP&A organization, dedicated to empowering executive leaders across the firm, as well as our partners in financial and operational functions. Our team harnesses the power of cloud computing, data science, AI, and strategic expertise-combined with deep institutional knowledge-to deliver insights that inform our most critical business decisions and fuel the firm's ongoing growth.
GenAI is at the forefront of our innovation agenda and a key strategic priority for our future. We are rapidly developing groundbreaking products and solutions poised to transform both our organization and our clients. As part of our team, the selected candidate will play a pivotal role in driving the success of these high-impact initiatives.
Recruiting for this role ends on December 14, 2025
Work You'll Do
Client Engagement & Solution Scoping
+ Partner with stakeholders to analyze business requirements, pain points, and objectives relevant to GenAI use cases.
+ Facilitate workshops to identify, prioritize, and scope impactful GenAI applications (e.g., text generation, code synthesis, conversational agents).
+ Clearly articulate GenAI's value proposition, including efficiency gains, risk mitigation, and innovation.
+ Solution Architecture & Design
+ Architect holistic GenAI solutions, selecting and customizing appropriate models (GPT, Llama, Claude, Zora AI, etc.).
+ Design scalable integration strategies for embedding GenAI into existing client systems (ERP, CRM, KM platforms).
+ Define and govern reliable, ethical, and compliant data sourcing and management.
Development & Customization
+ Lead model fine-tuning, prompt engineering, and customization for client-specific needs.
+ Oversee the development of GenAI-powered applications and user-friendly interfaces, ensuring robustness and exceptional user experience.
+ Drive thorough validation, testing, and iteration to ensure quality and accuracy.
Implementation, Deployment & Change Management
+ Manage solution rollout, including cloud setup, configuration, and production deployment.
+ Guide clients through adoption: deliver training, create documentation, and provide enablement resources for users.
Risk, Ethics & Compliance
+ Lead efforts in responsible AI, ensuring safeguards against bias, privacy breaches, and unethical outcomes.
+ Monitor performance, implement KPIs, and manage model retraining and auditing processes.
Stakeholder Communication
+ Prepare executive-level reports, dashboards, and demos to summarize progress and impact.
+ Coordinate across internal teams, tech partners, and clients for effective project delivery.
Continuous Improvement & Thought Leadership
+ Stay current on GenAI trends, best practices, and emerging technologies; share insights across teams.
+ Mentor junior colleagues, promote knowledge transfer, and contribute to reusable methodologies.
Qualifications
Required:
+ Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Mathematics, or related field.
+ 5+ years of hands-on experience delivering machine learning or AI solutions, preferably including generative AI.
+ Independent thinker who can create the vision and execute on transforming data into high end client products.
+ Demonstrated accomplishments in the following areas:
+ Deep understanding of GenAI models and approaches (LLMs, transformers, prompt engineering).
+ Proficiency in Python (PyTorch, TensorFlow, HuggingFace), Databricks, ML pipelines, and cloud-based deployment (Azure, AWS, GCP).
+ Experience integrating AI into enterprise applications, building APIs, and designing scalable workflows.
+ Knowledge of solution architecture, risk assessment, and mapping technology to business goals.
+ Familiarity with agile methodologies and iterative delivery.
+ Commitment to responsible AI, including data ethics, privacy, and regulatory compliance.
+ Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve
+ Limited immigration sponsorship may be available.
Preferred:
+ Relevant Certifications: May include Google Cloud Professional ML Engineer, Microsoft Azure AI Engineer, AWS Certified Machine Learning, or specialized GenAI/LLM credentials.
+ Experience with data visualization tools such as Tableau
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $102,500 - $188,900.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Information for applicants with a need for accommodation
************************************************************************************************************
EA_FA_ExpHire
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
Data Protection and Privacy Analyst
Data science internship job in Las Vegas, NV
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.
**Data Protection and Privacy Analyst**
Ethics, Compliance, and Risk Management (ECRM) supports our people in managing the risks that arise during our daily working lives. We work closely with all parts of the organization to identify, manage and monitor risk, providing coordinated advice and assistance on independence, conflicts, compliance, regulatory, policy, security issues, as well as dealing with claims and any queries regarding ethics.
**The opportunity**
We are operating in an increasingly connected world that is changing how to manage risk. With fast-paced technology advancements, new innovations within emerging technologies, and an ever-challenging regulatory environment, it is business critical for our organization to identify not only the risks but the opportunities these present to us. As a Data Protection & Privacy Analyst, you will help the Data Protection team make educated, thoughtful decisions on Risk Management. Our brand depends on it. It's all part of our long-term commitment to building a better working world and in return, you can expect plenty of opportunities to take on new responsibilities and develop your career.
**Your key responsibilities**
As part of the EY Americas Data Protection (Confidentiality, Data Privacy) function, you will play a key role in facilitating compliance with applicable legal and regulatory and EY policy requirements, including by helping to update and maintain our inventory of data, processing activities, applications, and suppliers across EY's business activities. You will also assist in responding to data subject rights (DSR) and internal data access requests, managing and documenting activities around data incidents (i.e., instances of loss, theft, or inappropriate disclosure of confidential/personal information), and supporting metrics analysis and reporting for keeping stakeholders informed of key Data Protection trends.
**Skills and attributes for success**
+ Supports multiple aspects of the Data Protection compliance program, including but not limited to:
+ Tracking new and/or revised applicable data protection laws, regulations, and standards (e.g., CPRA, VCDPA, HIPAA),
+ Assisting with tracking and conducting data protection due diligence reviews of processes, systems/technologies, suppliers, and M&A targets,
+ Reviews and assists with addressing inquiries from business teams, including coordinating appropriate responses based on documented procedures,
+ Supporting engagement and account risk monitoring and mitigation efforts, and
+ Monitoring and assessing program controls.
+ Maintains and expands current knowledge of field of expertise and communicates new developments and resulting impact to program stakeholders and team members.
+ Develops relationships across teams/functions within the organization.
+ Participates in other ad-hoc Data Protection & Privacy projects, as assigned.
**To qualify for the** **role,** **you must have**
+ Strong verbal and written communication skills
+ Strong research and project management skills
+ Strong problem-solving skills
+ Ability to be flexible and take initiative
+ Strong organizational skills
+ Ability to successfully handle multiple tasks
+ Proficient in Microsoft Word and Excel and technology savvy
+ A bachelor's degree or equivalent work experience
+ 1-3 plus years related experience
**Ideally, you'll have**
+ Ability to perform initial reviews of submissions from client teams and evaluate completeness, accuracy and appropriateness of proposed transaction or requests
**What we look for**
We're looking for individuals that have strong problem-solving skills who aren't afraid to take initiative. You'll need to have an enthusiasm for capturing and analysing data. If you're great at communicating with people in a fast-paced environment, this is a great place to develop all the skills that will progress your career.
**What we offer you**
At EY, we'll develop you with future-focused skills and equip you with world-class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more .
+ We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $40,900 to $74,200. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $49,100 to $84,400. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
+ Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.
+ Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.
**Are you ready to shape your future with confidence? Apply today.**
EY accepts applications for this position on an on-going basis.
For those living in California, please click here for additional information.
EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.
**EY | Building a better working world**
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.
EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at ************************** .
Data Analyst
Data science internship job in Las Vegas, NV
Job Description
White Pine Innovations is part of the Seneca Nation Group (SNG) portfolio of companies. SNG is Seneca Holdings' federal government contracting business that meets mission-critical needs of federal civilian, defense, and intelligence community customers. Our portfolio comprises multiple subsidiaries that participate in the Small Business Administration 8(a) program. To learn more about SNG, visit the website and follow us on LinkedIn.
Our team of talented individuals is what makes us successful. To support our team, we provide a balanced mix of benefits and programs. Your total rewards package includes competitive pay, benefits, and perks, flexible work-life balance, professional development opportunities, and performance and recognition programs. We offer a comprehensive benefits package that includes medical, dental, vision, life, and disability, voluntary benefit programs (critical illness, hospital, and accident), health savings and flexible spending accounts, and retirement 401K plan. One of our fundamental principles is to offer competitive health and welfare benefits to our team members, providing coverage and care for you and your family. Full-time employees working at least 30 hours a week on a regular basis are eligible to participate in our benefits and paid leave programs. We pride ourselves on our collaborative work environment and culture, which embraces our mission of providing financial and non-financial benefits back to the members of the Seneca Nation.
In support of Bureau of Land Management (BLM) Nevada, White Pine Innovations seeks a Data Analyst in Las Vegas, NV to support the Assessment, Inventory, and Monitoring (AIM) project. The Data Analyst will support BLM Nevada in completing land health monitoring by conducting basic data analyses and reporting using AIM data.
Responsibilities include, but are not limited to:
Compile data and generate indicators for land health assessments, analyze data to prioritize and evaluate restoration treatments, assess long-term drought impacts on restoration effects, and more
Review and compile of Quality Assurance (QA) / Quality Control (QC) procedures for AIM datasets, provide technical support and training to field staff on data access, usage and interpretation, and work with BLM staff on data management and storage issues for AIM and related datasets, and complete basic analysis and reporting using AIM data as needed for completion of BLM business.
Work closely with BLM staff in Nevada to support the AIM program throughout the entire state; coordinate with a variety of BLM staff in Nevada on AIM data management and analysis tasks
Attend all necessary AIM trainings
Provide monthly quality control of collected AIM data during the field season
Conduct basic data analyses of land health using AIM data
Required Qualifications:
Education: Bachelor's degree in Biology, Ecology, Natural Resources, Statistics, or related fields
Experience: Minimum 2 years specialized experience or related graduate work
Excellent written and oral communication skills with attention to detail.
Ability to pass an extremely thorough and lengthy background check.
Desired Skills:
Field experience in vegetation/soils sampling, natural resource monitoring, plant identification.
Equal Opportunity Statement:
Seneca Holdings provides equal employment opportunities to all employees and applicants without regard to race, color, religion, sex/gender, sexual orientation, national origin, age, disability, marital status, genetic information and/or predisposing genetic characteristics, victim of domestic violence status, veteran status, or other protected class status. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, placement, promotion, termination, layoff, recall, transfer, leave of absence, compensation and training. The Company also prohibits retaliation against any employee who exercises his or her rights under applicable anti-discrimination laws. Notwithstanding the foregoing, the Company does give hiring preference to Seneca or Native individuals. Veterans with expertise in these areas are highly encouraged to apply.
Associate Data Analyst
Data science internship job in Las Vegas, NV
Our ideal candidates are driven by a passion to help others, have at least three years experience in data management, and is skilled in Health Care Provider (HCP) Master Data Stewardship. Responsibilities: Support HCP Master Informatica Multi-Domain MDM and Data Quality (IDQ) operations as a data stewards and data maintainer
Track data issues root cause and monitor data quality dashboards
Support HCP creation and maintenance process for Business users
Business stakeholder management for Global Transparency reporting requirements
Participate in testing activities at all levels and support fixes testing as necessary
Manage numerous requests concurrently
Support Troubleshoot technical issues to HCP MDM Developers
Identify areas for improvement relating to business processes, workflows and systems
Basic Qualifications:
Bachelors degree
4+ years of experience in HCP Data stewardship
Experience in Informatica Master Data (MDM) applications
Experience with data analysis and data governance
Experience with Global Transparency Reporting
Hands-on experience with application testing and defects consolidation.
Excellent documentation and interpersonal relationship skills with ability to drive achievement of objectives
Strong written and verbal communication skills including the ability to communicate at various levels
Knowledge of best practices related to Global Transparency Reporting
Ability to interpret and define business user requirements into detailed specifications
Ability to develop training documentation & online training modules to lead business user workshops
Fraud Data Analyst (Merchant and Loan)
Data science internship job in Las Vegas, NV
JOB TITLE: Fraud Data Analyst (Merchant and Loan)
REPORTS TO: Head of Business Data Analytics
The Company:
Sunbit builds financial technology for real life. Our technology eases the stress of paying for life's expenses by giving people more options on how and when they pay. Founded in 2016, Sunbit offers a next-generation, no-fee credit card that can be managed through a powerful mobile app, as well as a point-of-sale payment option available at more than 25,000 service locations, including 1 in 2 auto dealerships, optical practices, dentist offices, veterinary clinics, and specialty healthcare services. By introducing a flexible way to pay over time, we are proud of our ability to lift up service providers and retailers while helping consumers when necessary expenses arise... regardless of whether they were expected or unexpected. Sunbit was included on the 2022 Inc. 5000 list. The financial technology company has also been named as a Most Loved Workplace , Best Point of Sale Company, and as a Top Fintech Startup by CB Insights. We use cutting-edge innovations in financial technology to bring leading data and features that allow individuals to be qualified instantly, making purchases at the point-of-sale fast, fair and easy for consumers from all walks of life. We create value focused on our core values; we work tirelessly to ensure that Sunbit becomes available to everyone, everywhere.
Sunbit is proud to be recognized on the CB Insights List of Unicorn Companies, with a valuation of $1.1B (******************************************************
The Role:
This role is part of the Fraud Data Analytics team at Sunbit, reporting to the Head of Data. In this position, you will work closely with the Business Unit (BU) leaders of Fraud, using data to identify and research fraudulent activities while measuring and monitoring the company's overall fraud objectives. You will collaborate cross-functionally with machine learning, product engineering, and fraud operations to help foster a safe platform for our customers.
What You'll Own:
Support Fraud department leaders in their analytical research and emerging trends analysis, focusing on Merchant and loan fraud
Monitor key fraud metrics to proactively identify and address potential risks
Respond quickly to fraud rings and collaborate with the business to implement new strategies to mitigate emerging fraud threats and vulnerabilities.
Assist other Fraud Analysts in developing the fraud monitoring strategy
Work closely with cross-functional teams to improve fraud insights
Assist with the evaluation and implementation of new external or internal features and signals to enhance fraud detection capabilities
Support the simulation of Sunbit KPIs for major fraud strategy changes
We are looking for someone who:
Is proficient in data analysis using SQL and excited to acquire new technical skills
Has strong analytical skills with the ability to identify patterns, trends, and anomalies in data
Has experience with scripting languages, such as Python or R, for data analysis (preferred)
Possesses strong verbal, written communication, and presentation skills
Can clearly communicate findings and recommendations to both technical and non-technical audiences
Has experience with BI tools (Sigma is a plus)
Has experience in Credit Card, Loans, or other financial services instrument
Is passionate about solving real-world problems with data
Has passion for understanding and improving fraud detection systems to effectively identify and mitigate fraudulent activities.
Has experience in fraud prevention, risk management, or related fields (preferred)
Can see the big picture and can think long-term
Possesses a growth mindset and takes proactive ownership of projects
Lives the 80/20 principle and gets things done
Has 6+ years of relevant analytical experience with a bachelor's degree or 4+ years of relevant experience with a master's degree in a quantitative field (Analytics, Mathematics, Statistics, Economics, Engineering, etc.)
The Perks:
Join one of LA's fastest growing startups (2023), A Most Loved Workplace, #576 on the 2023 Inc 5000 list, and Forbes Fintech 50 (2024)
Mission driven + empowered + collaborative
Competitive pay and stock options
Unlimited PTO
Health Insurance options including Medical, Dental, Vision, Life, EAP, FSA, & Maternity Leave
Newly added HSA and Pet Insurance
401K Plan with Matching
Cell Phone Stipend
Casual Dress
Open door policy / Open office floor plan
Team based strategic planning + Team owned deliverables
Core Values for Success at Sunbit:
Serve others before self - Focus on analytics that drive collective progress and support company-wide goals
Own the impact - Take full responsibility for accuracy and implications of your data insights
Connect genuinely - Build and maintain strong relationships with internal stakeholders
Act fast - Demonstrate agility and responsiveness in a fast paced environment
Include always - Ensure inclusivity in your analytical approach by considering diverse perspectives and impacts
Innovate for good - Continually seek opportunities to improve and innovate in the realm of data analytics at Sunbit
Sunbit is an Equal Opportunity Employer. We strive to provide a professional & welcoming workplace for all employees.
Recruitment Fraud Disclaimer
We've been made aware of fraudsters impersonating Sunbit employees during the hiring process. Please note that all official communication will come from an @sunbit.com email address or directly via LinkedIn. We will never ask for your age, Social Security number, bank account details, payment of any kind, or other unrelated personal information during the application process. Our hiring process always includes interviews, either by phone, zoom, or in person, before any offer is made. If something feels suspicious, please contact us at ************* to confirm.
Principal Data Scientist
Data science internship job in Las Vegas, NV
Description & Requirements We now have an exciting opportunity for a Principal Data Scientist to join the Maximus AI Accelerator supporting both the enterprise and our clients. We are looking for an accomplished hands-on individual contributor and team player to be a part of the AI Accelerator team.
You will be responsible for architecting and optimizing scalable, secure AI systems and integrating AI models in production using MLOps best practices, ensuring systems are resilient, compliant, and efficient. This role requires strong systems thinking, problem-solving abilities, and the capacity to manage risk and change in complex environments. Success depends on cross-functional collaboration, strategic communication, and adaptability in fast-paced, evolving technology landscapes.
This position will be focused on strategic company-wide initiatives but will also play a role in project delivery and capture solutioning (i.e., leaning in on existing or future projects and providing solutioning to capture new work.)
This position requires occasional travel to the DC area for client meetings.
Essential Duties and Responsibilities:
- Make deep dives into the data, pulling out objective insights for business leaders.
- Initiate, craft, and lead advanced analyses of operational data.
- Provide a strong voice for the importance of data-driven decision making.
- Provide expertise to others in data wrangling and analysis.
- Convert complex data into visually appealing presentations.
- Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners.
- Understand the importance of automation and look to implement and initiate automated solutions where appropriate.
- Initiate and take the lead on AI/ML initiatives as well as develop AI/ML code for projects.
- Utilize various languages for scripting and write SQL queries. Serve as the primary point of contact for data and analytical usage across multiple projects.
- Guide operational partners on product performance and solution improvement/maturity options.
- Participate in intra-company data-related initiatives as well as help foster and develop relationships throughout the organization.
- Learn new skills in advanced analytics/AI/ML tools, techniques, and languages.
- Mentor more junior data analysts/data scientists as needed.
- Apply strategic approach to lead projects from start to finish;
Job-Specific Minimum Requirements:
- Develop, collaborate, and advance the applied and responsible use of AI, ML and data science solutions throughout the enterprise and for our clients by finding the right fit of tools, technologies, processes, and automation to enable effective and efficient solutions for each unique situation.
- Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital.
- Contribute to efforts across the enterprise to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, LLMs and classical machine learning.
- Contribute to the development of mathematically rigorous process improvement procedures.
- Maintain current knowledge and evaluation of the AI technology landscape and emerging. developments and their applicability for use in production/operational environments.
Minimum Requirements
- Bachelor's degree in related field required.
- 10-12 years of relevant professional experience required.
Job-Specific Minimum Requirements:
- 10+ years of relevant Software Development + AI / ML / DS experience.
- Professional Programming experience (e.g. Python, R, etc.).
- Experience in two of the following: Computer Vision, Natural Language Processing, Deep Learning, and/or Classical ML.
- Experience with API programming.
- Experience with Linux.
- Experience with Statistics.
- Experience with Classical Machine Learning.
- Experience working as a contributor on a team.
Preferred Skills and Qualifications:
- Masters or BS in quantitative discipline (e.g. Math, Physics, Engineering, Economics, Computer Science, etc.).
- Experience developing machine learning or signal processing algorithms:
- Ability to leverage mathematical principles to model new and novel behaviors.
- Ability to leverage statistics to identify true signals from noise or clutter.
- Experience working as an individual contributor in AI.
- Use of state-of-the-art technology to solve operational problems in AI and Machine Learning.
- Strong knowledge of data structures, common computing infrastructures/paradigms (stand alone and cloud), and software engineering principles.
- Ability to design custom solutions in the AI and Advanced Analytics sphere for customers. This includes the ability to scope customer needs, identify currently existing technologies, and develop custom software solutions to fill any gaps in available off the shelf solutions.
- Ability to build reference implementations of operational AI & Advanced Analytics processing solutions.
Background Investigations:
- IRS MBI - Eligibility
#techjobs #VeteransPage
EEO Statement
Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics.
Pay Transparency
Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances.
Accommodations
Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at **************************.
Minimum Salary
$
156,740.00
Maximum Salary
$
234,960.00
Easy ApplyGraduate Data Scientist
Data science internship job in Las Vegas, NV
About the Role Join our Sportsbook team as a Graduate Data Scientist, where you'll gain hands-on experience working at the intersection of quantitative modeling and trading operations. You'll help support the development and monitoring of predictive models that power real-time odds and trading decisions, while also participating in trading workflows for pre-match and in-play sports betting markets.
This is an excellent opportunity for an analytically minded graduate with a passion for sports, data, and betting markets to learn from an experienced team and grow into a hybrid quant/trading role.
This is an on-site position at our Las Vegas, NV office.
Key Responsibilities
* Assist in building, testing, and maintaining statistical models used to price sportsbook markets (e.g., moneyline, spreads, totals, props).
* Conduct exploratory data analysis and feature engineering using historical sports data and real-time feeds.
* Analyze performance metrics like margin, P&L, and customer behavior to improve pricing accuracy and model calibration.
* Work closely with Trading, Product, and Engineering teams to support model improvements and ensure seamless trading execution..
* Stay up-to-date with sports analytics, statistical methods, and advanced machine learning; evaluate new methods to keep our models best-in-class.
* Support traders with pricing, risk management, and market monitoring during live events.
* Monitor odds movement, betting patterns, and liabilities to help ensure market efficiency.
* Contribute to setting pre-match and in-play prices using internal tools and models.
Qualifications
* Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Engineering, or similar.
* Solid foundation in probability and statistics, with an interest in applying these to real-world problems.
* Strong programming skills in Python (especially with data-focused libraries like pandas and NumPy).
* Passion for sports and interest in sportsbook mechanics or financial markets.
* Strong attention to detail, especially when working with live data and pricing environments.
* Willingness to work flexible hours during major sporting events as needed.
Nice to Have
* Familiarity with sports betting odds and common market types (e.g., spread, totals, player props).
* Exposure to sports analytics or participation in data competitions (e.g., Kaggle, university research).
* Experience with data visualization tools or dashboarding
* Prior experience in a sportsbook, trading desk, or similar high-tempo environment.
Auto-ApplyData Scientist II
Data science internship job in Las Vegas, NV
SummaryThe Data Scientist turns data into high value assets in the form of insights and predictive models that contribute to measurable improvements in business process and performance. The Data Scientist II is expected to work independently with minimal oversight as well as lead project initiatives, mentor and assign work to others as needed. This role requires strong understanding and experience in Applied Statistics for Data Science as well as expertise in data wrangling, building, deploying and maintaining predictive models. You will be responsible to ensure the rest of the team and stakeholders engage in best practices to ensure statistically sound deliverables. You will document best practices as well as lead peer reviews of Data Science work. You will deliver improvements to existing models as well as lead ongoing complex initiatives for revenue optimization, customer segmentation, media-mix optimization, and churn analysis.
Visa Sponsorship AvailableNo
Minimum RequirementsCombination of Education and Experience will be considered. Must be authorized to work in the US as defined by the Immigration Act of 1986. Must pass a Criminal Background Check.Education: Bachelor's Degree From an accredited college/university in one or more of the following: Computer Science, Statistics, Mathematics, Engineering, Bioinformatics, Econometrics, Physics, Operations Research or related field.
Years of Experience: Minimum of three (3) years of experience in a technical environment.
•Other Requirements: Candidates must be comfortable in conversations and be able to demonstrate the following:•Understanding of applied Statistics, algorithms, modeling techniques as they relate to Data Science as a practice. •Technical experience working with data to include sourcing, extracting, validating, exploring, and transforming data with tools like SQL and Python. •Expert knowledge of the Data Science process•Initiative, curiosity, and problem-solving skills through personal development projects and ongoing education.•Command of Python and/or R with the ability to mentor and train others.•Command of SQL with the ability to mentor and train others.•Ability to lead, manage and deliver complex Data Science projects with minimal oversight.•Command of applied statistics for Data Science. • Master's Degree or PhD.
Preferred Requirements•Master's Degree or PhD•Strong knowledge in one or more of the following fields: statistics, data mining, machine learning, simulation, operations research, econometrics, and/or information retrieval.•Strong knowledge of the data science process and practical experience using machine learning algorithms including regression, classification, simulation, scenario analysis, modeling, clustering, and decision trees.•Knowledge in airline operations, customer interactions and/or inter-departmental limitations across business units.•Strong written and verbal communication skills, proven presentation skills to all levels of audience.•Strong intellect and analytical aptitude, along with ability to be self-driven.•Demonstrated proficiency in Python, R, MATLAB, SQL or other programming languages or packages.•Comfortable with a fast paced, dynamic work environment.•Strong computer skills including but not limited to MS Office products.
Job Duties•Analyze and model airline operations and/or customer data and implement algorithms to support analysis using advanced statistical, engineering, and mathematical methods from physics, machine learning, data mining, econometrics, and operations research.•Interpret business opportunities into Data Science projects and deliverables. Deliver Data Science solutions and quantify ROI/Business impact.•Translate advanced analytics problems into technical approaches that yield actionable recommendations, in diverse domains such as predictive maintenance, delay predictions/recovery and Allegiant products upselling/cross-selling; communicate results and educate stakeholders through insightful visualizations, reports and presentations.•Facilitate conversations for teams to collaborate in removing impediments, empowering teams to self-organize and improve their productivity. •Retrieve, prepare, and process a rich variety of data sources from structured/unstructured cloud and non-cloud sources.•Perform exploratory data analysis, generate and test working hypotheses, and uncover interesting trends and relationships.•Exercise continuous self-development, education and learning.•Act as an analytical mentor to others in the organization.•Help establish and sustain Data Science culture.•Leverage available research data to stay informed about industry related trends, potential disrupters, and competitive capabilities.•Document various approaches and model metrics to seek iterative means of improvement.•Provide a cohesive end-to-end solution through understanding the “cross-pollination” of technology/engineering/commercial verticals and applying both areas of expertise and areas of knowledge.•Other duties as assigned.
Physical RequirementsThe Physical Demands and Work Environment described here are a representative of those that must be met by a Team Member to successfully perform the essential functions of the role. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the role.
Office - While performing the duties of this job, the Team Member is regularly required to stand, sit, talk, hear, see, reach, stoop, kneel, and use hands and fingers to operate a computer, key board, printer, and phone. May be required to lift, push, pull, or carry up to 20 lbs. May be required to work various shifts/days in a 24-hour situation. Regular attendance is a requirement of the role. Exposure to moderate noise (i.e. business office with computers, phones, printers, and foot traffic), temperature and light fluctuations. Ability to work in a confined area as well as the ability to sit at a computer terminal for an extended period of time. Some travel may be a requirement of the role.
Essential Services ProviderAllegiant as a national air carrier is deemed an essential service provider during declared national and state emergencies. Team Members will be required to report to their assigned trip or work location during national and state emergencies unless prohibited by local, state or federal order.
EEO StatementWe welcome all individuals from varied backgrounds and experiences to apply. Our company values the unique perspectives and talents that each person brings to our team.
Equal Opportunity Employer: Disability/VeteranFor more information, see *************************
Auto-ApplyDATA SCIENTIST
Data science internship job in Nellis Air Force Base, NV
The PALACE Acquire Program offers you a permanent position upon completion of your formal training plan. As a Palace Acquire Intern you will experience both personal and professional growth while dealing effectively and ethically with change, complexity, and problem solving. The program offers a 3-year formal training plan with yearly salary increases. Promotions and salary increases are based upon your successful performance and supervisory approval.
Summary
The PALACE Acquire Program offers you a permanent position upon completion of your formal training plan. As a Palace Acquire Intern you will experience both personal and professional growth while dealing effectively and ethically with change, complexity, and problem solving. The program offers a 3-year formal training plan with yearly salary increases. Promotions and salary increases are based upon your successful performance and supervisory approval.
Overview
Help
Accepting applications
Open & closing dates
09/29/2025 to 09/28/2026
Salary $49,960 to - $99,314 per year
Total salary varies depending on location of position
Pay scale & grade GS 7 - 9
Locations
Gunter AFB, AL
Few vacancies
Maxwell AFB, AL
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Davis Monthan AFB, AZ
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Edwards AFB, CA
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Los Angeles, CA
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Air Force Academy, CO
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Cheyenne Mountain AFB, CO
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Peterson AFB, CO
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Schriever AFB, CO
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Joint Base Anacostia-Bolling, DC
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Eglin AFB, FL
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Hurlburt Field, FL
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Natick, MA
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Holloman AFB, NM
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Rome, NY
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Heath, OH
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Wright-Patterson AFB, OH
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Arlington, VA
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Warren AFB, WY
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Remote job No Telework eligible No Travel Required Occasional travel - You may be expected to travel for this position. Relocation expenses reimbursed No Appointment type Internships Work schedule Full-time Service Competitive
Promotion potential
13
Job family (Series)
* 1560 Data Science Series
Supervisory status No Security clearance Secret Drug test No Position sensitivity and risk Noncritical-Sensitive (NCS)/Moderate Risk
Trust determination process
* Suitability/Fitness
Financial disclosure No Bargaining unit status No
Announcement number K-26-DHA-12804858-AKK Control number 846709300
This job is open to
Help
The public
U.S. Citizens, Nationals or those who owe allegiance to the U.S.
Students
Current students enrolled in an accredited high school, college or graduate institution.
Recent graduates
Individuals who have graduated from an accredited educational institute or certificate program within the last 2 years or 6 years for Veterans.
Clarification from the agency
This public notice is to gather applications that may or may not result in a referral or selection.
Duties
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1. Performs developmental assignments in support of projects assigned to higher level analysts. Performs minor phases of a larger assignment or work of moderate difficulty where procedures are established, and a number of specific guidelines exist. Applies the various steps of accepted data science procedures to search for information and perform well precedented work.
2. Performs general operations and assignments for portions of a project or study consisting of a series of interrelated tasks or problems. The employee applies judgment in the independent application of methods and techniques previously learned. The employee locates and selects the most appropriate guidelines and modifies to address unusual situations.
3. Participates in special initiatives, studies, and projects. Performs special research tasks designed to utilize and enhance knowledge of work processes and techniques. Works with higher graded specialists in planning and conducting special initiatives, studies, and projects. Assists in preparing reports and briefings outlining study findings and recommendations.
4. Prepares correspondence and other documentation. Drafts or prepares a variety of documents to include newsletter items,
responses to routine inquiries, reports, letters, and other related documents.
Requirements
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Conditions of employment
* Employee must maintain current certifications
* Successful completion of all training and regulatory requirements as identified in the applicable training plan
* Must meet suitability for federal employment
* Direct Deposit: All federal employees are required to have direct deposit
* Please read this Public Notice in its entirety prior to submitting your application for consideration.
* Males must be registered for Selective Service, see ***********
* A security clearance may be required. This position may require a secret, top-secret or special sensitive clearance.
* If authorized, PCS will be paid IAW JTR and AF Regulations. If receiving an authorized PCS, you may be subject to completing/signing a CONUS agreement. More information on PCS requirements, may be found at: *****************************************
* More information on PCS requirements, may be found at: *****************************************
* Position may be subject to random drug testing
* U.S. Citizenship Required
* Disclosure of Political Appointments
* Student Loan Repayment may be authorized
* Recruitment Incentive may be authorized for this position
* Total salary varies depending on location of position
* You will be required to serve a one year probationary period
* Grade Point Average - 2.95 or higher out of a possible 4.0
* Mobility - you may be required to relocate during or after completion of your training
* Work may occasionally require travel away from the normal duty station on military or commercial aircraft
Qualifications
BASIC REQUIREMENT OR INDIVIDUAL OCCUPATIONAL REQUIREMENT:
Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
You may qualify if you meet one of the following:
1. GS-7: You must have completed or will complete a 4-year course of study leading to a bachelor's from an accredited institution AND must have documented Superior Academic Achievement (SAA) at the undergraduate level in the following:
a) Grade Point Average 2.95 or higher out of a possible 4.0 as recorded on your official transcript or as computed based on 4 years of education or as computed based on courses completed during the final 2 years of curriculum; OR 3.45 or higher out of a possible 4.0 based on the average of the required courses completed in your major field or the required courses in your major field completed during the final 2 years of your curriculum.
2. GS-9: You must have completed 2 years of progressively higher-level graduate education leading to a master's degree or equivalent graduate degree:
a) Grade Point Average - 2.95 or higher out of a possible 4.0 as recorded on your official transcript or as computed based on 4 years of education or as computed based on courses completed during the final 2 years of curriculum; OR 3.45 or higher out of a possible 4.0 based on the average of the required courses completed in your major field or the required courses in your major field completed during the final 2 years of your curriculum. If more than 10 percent of total undergraduate credit hours are non-graded, i.e. pass/fail, CLEP, CCAF, DANTES, military credit, etc. you cannot qualify based on GPA.
KNOWLEDGE, SKILLS AND ABILITIES (KSAs): Your qualifications will be evaluated on the basis of your level of knowledge, skills, abilities and/or competencies in the following areas:
1. Professional knowledge of basic principles, concepts, and practices of data science to apply scientific methods and techniques to analyze systems, processes, and/or operational problems and procedures.
2. Knowledge of mathematics and analysis to perform minor phases of a larger assignment and prepare reports, documentation, and correspondence to communicate factual and procedural information clearly.
3. Skill in applying basic principles, concepts, and practices of the occupation sufficient to perform routine to difficult but well precedented assignments in data science analysis.
4. Ability to analyze, interpret, and apply data science rules and procedures in a variety of situations and recommend solutions to senior analysts.
5. Ability to analyze problems to identify significant factors, gather pertinent data, and recognize solutions.
6. Ability to plan and organize work and confer with co-workers effectively.
PART-TIME OR UNPAID EXPERIENCE: Credit will be given for appropriate unpaid and or part-time work. You must clearly identify the duties and responsibilities in each position held and the total number of hours per week.
VOLUNTEER WORK EXPERIENCE: Refers to paid and unpaid experience, including volunteer work done through National Service Programs (i.e., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community; student and social). Volunteer work helps build critical competencies, knowledge and skills that can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.
Education
IF USING EDUCATION TO QUALIFY: If position has a positive degree requirement or education forms the basis for qualifications, you MUST submit transcriptswith the application. Official transcripts are not required at the time of application; however, if position has a positive degree requirement, qualifying based on education alone or in combination with experience, transcripts must be verified prior to appointment. An accrediting institution recognized by the U.S. Department of Education must accredit education. Click here to check accreditation.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying.
Additional information
For DHA Positions:
These positions are being filled under Direct-Hire Authority for the Department of Defense for Post-Secondary Students and Recent Graduates. The Secretary of the Air Force has delegated authority by the Office of the Secretary of Defense to directly appoint qualified post-secondary students and recent graduates directly into competitive service positions; these positions may be professional or administrative occupations and are located Air Force-Wide. Positions may be filled as permanent or term with a full-time or part-time work schedule. Pay will vary by geographic location.
* The term "Current post-secondary student" means a person who is currently enrolled in, and in good academic standing at a full-time program at an institution of higher education; and is making satisfactory progress toward receipt of a baccalaureate or graduate degree; and has completed at least one year of the program.
* The term "recent graduate" means a person who was awarded a degree by an institution of higher education not more than two years before the date of the appointment of such person, except in the case of a person who has completed a period of obligated service in a uniform service of more than four years.
Selective Service: Males born after 12-31-59 must be registered or exempt from Selective Service. For additional information, click here.
Direct Deposit: All federal employees are required to have direct deposit.
If you are unable to apply online, view the following link for information regarding Alternate Application. The Vacancy ID is
If you have questions regarding this announcement and have hearing or speech difficulties click here.
Tax Law Impact for PCS: On 22-Dec-2017, Public Law 115-97 - the "Tax Cuts and Jobs Act of 2017" suspended qualified moving expense deductions along with the exclusion for employer reimbursements and payments of moving expenses effective 01-Jan-2018 for tax years 2018 through 2025. The law made taxable certain reimbursements and other payments, including driving mileage, airfare and lodging expenses, en-route travel to the new duty station, and temporary storage of those items. The Federal Travel Regulation Bulletin (FTR) 18-05 issued by General Services Administration (GSA) has authorized agencies to use the Withholding Tax Allowance (WTA) and Relocation Income Tax Allowance (RITA) to pay for "substantially all" of the increased tax liability resulting from the "2018 Tax Cuts and Jobs Act" for certain eligible individuals. For additional information on WTA/RITA allowances and eligibilities please click here. Subsequently, FTR Bulletin 20-04 issued by GSA, provides further information regarding NDAA FY2020, Public Law 116-92, and the expansion of eligibility beyond "transferred" for WTA/RITA allowances. For additional information, please click here.
Expand Hide additional information
Candidates should be committed to improving the efficiency of the Federal government, passionate about the ideals of our American republic, and committed to upholding the rule of law and the United States Constitution.
Benefits
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A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new window Learn more about federal benefits.
Review our benefits
Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered.
How you will be evaluated
You will be evaluated for this job based on how well you meet the qualifications above.
For DHA Positions:
These positions are being filled under Direct-Hire Authority for the DoD for Post-Secondary Students and Recent Graduates. The Secretary of the Air Force has delegated authority by the Office of the Secretary of Defense to directly appoint qualified students and recent graduates directly into competitive service positions; positions may be professional or administrative occupations and located Air Force-Wide. Positions may be filled as permanent/term with a full-time/part-time work schedule. Pay will vary by geographic location.
* The term "Current post-secondary student" means a person who is currently enrolled and in good academic standing at a full-time program at an institution of higher education; and is progressing toward a baccalaureate or graduate degree; and has completed at least 1 year of the program.
* The term "recent graduate" means a person awarded a degree by an institution of higher education not more than 2 years before the date of the appointment of such person, except in the case of a person who has completed a period of obligated service in a uniform service of more than 4 years.
Your latest resume will be used to determine your qualifications.
Your application package (resume, supporting documents, and responses to the questionnaire) will be used to determine your eligibility, qualifications, and quality ranking for this position. Please follow all instructions carefully. Errors or omissions may affect your rating or consideration for employment.
Your responses to the questionnaire may be compared to the documents you submit. The documents you submit must support your responses to the online questionnaire. If your application contradicts or does not support your questionnaire responses, you will receive a rating of "not qualified" or "insufficient information" and you will not receive further consideration for this job.
Applicants who disqualify themselves will not be evaluated further.
Benefits
Help
A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new window Learn more about federal benefits.
Review our benefits
Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered.
Required documents
Required Documents
Help
The following documents are required and must be provided with your application for this Public Notice. Applicants who do not submit required documentation to determine eligibility and qualifications will be eliminated from consideration. Other documents may be required based on the eligibility/eligibilities you are claiming. Click here to view the AF Civilian Employment Eligibility Guide and the required documents you must submit to substantiate the eligibilities you are claiming.
* Online Application - Questionnaire
* Resume: Your resume may NOT exceed two pages, and the font size should not be smaller than 10 pts. You will not be considered for this vacancy if your resume is illegible/unreadable. Additional information on resume requirements can be located under "
Central Data Analyst
Data science internship job in Las Vegas, NV
Join our Support Center and be a pivotal resource to our field and distribution teams -where innovation, cross-functional collaboration, and career growth come together in an exciting environment! The Central Data Analyst manages Central Data while collaborating with cross-functional to drive operational excellence, data integrity. Ensure accurate, complete, and timely setup of master data, including all products in the company.
Location: Support Center, 6600 S Bermuda Rd, Las Vegas, NV 89119
Schedule: Monday - Friday, Weekends as needed, 40-50 hours per week
Pay: up to $50,000 annually
Job Type: Full Time
Benefits
* Employee Discount
* Employer-Paid Life Insurance
* Flex Time Off
* Disability Insurance
* Medical, Dental, and Vision Insurance
* Paid Parental Leave
* 401(k) with company match
Job Responsibilities
Central Data Administration:
* Ensure accurate, complete, and timely setup of master data, including products, vendors, stores, and warehouses.
* Govern data integrity by enforcing established governance rules, service-level agreements (SLAs), and audit controls.
* Partner with IT, merchandising, finance, supply chain, and store operations to ensure master data supports seamless business operations.
* Identify and drive process improvements to improve efficiency, reduce errors, and strengthen governance.
* Monitor data quality KPIs and escalate risks where master data could impact business processes.
Job Requirements
* Experience in data entry, or related field
* 3-5 years of relevant to data specialty
* Strong knowledge of ERP, master data governance.
* Demonstrated experience supporting large-scale projects
* Excellent analytical, organizational, and communication skills.
* Ability to work cross-functionally and influence without direct authority.
* Detail-oriented with strong problem-solving skills.
Additional Requirements
* Frequent sitting
* Frequent standing, walking, climbing, crouching, bending, pushing, or pulling
* Limited travel or overnight
* Normal or corrected vision and hearing
* Can distinguish varying or specific colors, patterns, or materials
* Fluency in English is required for training, vendor interactions, and ensuring compliance with company policies and procedures
* Frequently outdoors
* Frequently exposed to varying temperatures from below 32 degrees to above 80 degrees
* Lift approximately 50+ lbs.
* Use of fine motor hand functions
About Us
WHSmith is a leading global travel retailer with over 1,700 stores across 30 countries worldwide. WHSmith North America, incorporating Marshall Retail Group (MRG) and InMotion, represents over half of the Company's international store estate, with a collection of attractive, successful specialty retail stores located in airports and resorts across North America.
EEO/ADA/DFWP
WHSmith North America is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sexual orientation, national origin/ancestry, age, gender identity, gender expression, military/veteran status, marital status, disability status or any other basis prohibited by law. Reasonable accommodation will be provided for qualified individuals with disabilities.
Graduate Data Scientist
Data science internship job in Las Vegas, NV
About the Role
Join our Sportsbook team as a Graduate Data Scientist, where you'll gain hands-on experience working at the intersection of quantitative modeling and trading operations. You'll help support the development and monitoring of predictive models that power real-time odds and trading decisions, while also participating in trading workflows for pre-match and in-play sports betting markets.
This is an excellent opportunity for an analytically minded graduate with a passion for sports, data, and betting markets to learn from an experienced team and grow into a hybrid quant/trading role.
This is an on-site position at our Las Vegas, NV office.
Key Responsibilities
Assist in building, testing, and maintaining statistical models used to price sportsbook markets (e.g., moneyline, spreads, totals, props).
Conduct exploratory data analysis and feature engineering using historical sports data and real-time feeds.
Analyze performance metrics like margin, P&L, and customer behavior to improve pricing accuracy and model calibration.
Work closely with Trading, Product, and Engineering teams to support model improvements and ensure seamless trading execution..
Stay up-to-date with sports analytics, statistical methods, and advanced machine learning; evaluate new methods to keep our models best-in-class.
Support traders with pricing, risk management, and market monitoring during live events.
Monitor odds movement, betting patterns, and liabilities to help ensure market efficiency.
Contribute to setting pre-match and in-play prices using internal tools and models.
Qualifications
Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Engineering, or similar.
Solid foundation in probability and statistics, with an interest in applying these to real-world problems.
Strong programming skills in Python (especially with data-focused libraries like pandas and NumPy).
Passion for sports and interest in sportsbook mechanics or financial markets.
Strong attention to detail, especially when working with live data and pricing environments.
Willingness to work flexible hours during major sporting events as needed.
Nice to Have
Familiarity with sports betting odds and common market types (e.g., spread, totals, player props).
Exposure to sports analytics or participation in data competitions (e.g., Kaggle, university research).
Experience with data visualization tools or dashboarding
Prior experience in a sportsbook, trading desk, or similar high-tempo environment.
Auto-Apply2026 Summer Internship - Nevada Market Operations
Data science internship job in Las Vegas, NV
Internship Program
The CareSource Intern is responsible for providing support on special projects, initiatives, and specific activities which will vary by assignment. We offer a 12-week, paid summer internship program for college students who want to separate themselves from the pack. This is an exciting opportunity to obtain real-world experience and prepare yourself for your career after college. The program offers:
The opportunity to work on projects that truly impact the company
Journey-to-the-Job seminars with CareSource leaders to network and learn about their career paths
An assigned mentor and access to former interns who earned full-time positions with CareSource
An opportunity to test what you have learned and discover where you want to go
The satisfaction of working with smart and motivated people while building new skills
Essential Functions:
Help with various tasks and responsibilities with member enrollment in the market.
Work with our Nevada operations team at various volunteering, community, and company events.
Work with our Members and Providers on various initiatives.
Work on cross-functional teams on various projects and activities.
Education and Experience:
High School Diploma or equivalent is required
Current Rising Junior or Senior in an accredited degree program or graduated within the last 6 months is required
Competencies, Knowledge and Skills:
Proficient with Microsoft Office Suite to include Outlook, Word, Excel and PowerPoint
Good written and verbal communication skills
Ability to work in a fast-paced environment
Ability to work independently and within a team environment
Effective listening and critical thinking skills
Dependable, flexible and ability to maintain confidential information
Effective problem-solving skills with attention to detail
Licensure and Certification:
None
Working Conditions:
General office environment; may be required to sit or stand for extended periods of time
Personalized orientation and mentoring programs
Company and job-specific training
Feedback opportunities throughout your first 90 days
Inclusive culture with employee resource groups
Flexible work environment with remote opportunities and paid volunteer hours
Performance and personal growth goals with defined success metrics
Ongoing feedback process with your manager to discuss your progress and identify actions for continued growth
Potential for internal and external training and development programs, stretch assignments, expanded responsibilities and more
Compensation Range:
$35,200.00 - $56,200.00
CareSource takes into consideration a combination of a candidate's education, training, and experience as well as the position's scope and complexity, the discretion and latitude required for the role, and other external and internal data when establishing a salary level. In addition to base compensation, you may qualify for a bonus tied to company and individual performance. We are highly invested in every employee's total well-being and offer a substantial and comprehensive total rewards package.
Compensation Type (hourly/salary):
Hourly
Organization Level Competencies
Create an Inclusive Environment
Cultivate Partnerships
Develop Self and Others
Drive Execution
Influence Others
Pursue Personal Excellence
Understand the Business
This is not all inclusive. CareSource reserves the right to amend this job description at any time. CareSource is an Equal Opportunity Employer. We are dedicated to fostering an inclusive environment that welcomes and supports individuals of all backgrounds.#LI-JH1
Auto-ApplyIntern - Food and Beverage Operations @ Las Vegas Convention Center
Data science internship job in Las Vegas, NV
Job Description
Job Listing: Intern - Food and Beverage Operations @ Las Vegas Convention Center
Are you ready to put your education in to action with on-the-job experience?
The Sodexo Live! Intern Program offers an exciting opportunity for currently enrolled college students to turn their leadership potential into valuable professional experience and get a head start on their careers.
Sodexo Live Information:
At Sodexo Live!, we take pride in crafting exceptional events at the most prestigious venues on the planet and creating lasting memories for fans, visitors, guests and team members. Working with Sodexo Live! is more than a job; it's a chance to be part of something greater. Here, you'll build a career where 'everyday' is anything but normal.
Our experiences are unique, and so are our people. Bring your personality, your background and your desire to delight others. In return, we'll give you all you need to thrive. After giving it all, you'll return home knowing that you've played your part in creating a truly unforgettable moment.
2022 Forbes Best Employer for Diversity
2022 Front Office Sports Best Employers in Sports
2022 Disability Equality Index (DEI) Perfect Score
Location: We are seeking an Intern - Operations for the Las Vegas Convention Center.
The Las Vegas Convention Center is one of the busiest facilities in the world - a 4.6 million-square-foot facility located within a short distance of approximately 150,000 guest rooms. Operated by the Las Vegas Convention and Visitors Authority (LVCVA), the center is well known among industry professionals for its versatility. In addition to approximately 2.5 million square feet of exhibit space, 225 meeting rooms (more than 390,000 square feet) handle seating capacities ranging from 20 to 2,500.
Why Should I Apply?
Gain valuable industry experience working with leaders in the hospitality field
Flexible scheduling options that are accommodating to the student's school schedule
Professional development
Mentoring from a Sodexo Live! Manager
Principal Function:
The Intern - Operations is responsible for creating unique dining experiences by actively supervising and participating in execution of catered and quick serve functions. Working closely with culinary and operations staff, they are responsible for ensuring that events are executed smoothly and in accordance with client specifications. They will work with the Operations managers to ensure Sodexo Live!'s overall standards for accuracy, efficiency, quality and financial performance are met.
Essential Responsibilities:
Maximize Sodexo Live!'s revenue and operational excellence through implementation and oversight of systems and policies related to catering and quick serve events.
Contributes to the efficient operation of business; ensures all aspects of operations and events are completed in an efficient and effective manner.
Contribute to goal of making Sodexo Live! #1 in Event Hospitality and the #1 Employer of Choice through personal commitment and leading by example.
Qualifications/Skills:
Current college student with studies in hospitality/food management, communications, human resources, accounting, marketing or another industry-related college program.
Ability to multi-task and prioritize and work successfully both independently and as part of a team.
Excellent customer service skills.
Exceptional ability to communicate effectively in both verbal and written formats.
Keen ability to connect easily with others and create positive positioning within a particular context or subject matter.
Demonstrated success in interfacing with a variety of organizational functions and divisions to accomplish tasks.
Other Requirements:
Able to work effectively and safely while subject to wet floors, temperature extremes and excessive noise; must be able to lift up to 50 pounds in weight; must be able to maneuver in an often tightly-quartered environment.
Hours may be extended or irregular to include nights, weekends and holidays.
Thank you for expressing interest in employment with Sodexo Live!. While only those candidates considered for this position will be contacted, your resume will remain on file for 90 days.
Sodexo Live! is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, age, genetic information, status as a protected veteran or status as a qualified individual with a disability, or any other characteristic protected by applicable Federal, State or Local law.
Job Posted by ApplicantPro
Business Development Internship
Data science internship job in Las Vegas, NV
About Blueprint Sports: Since 2021, Blueprint Sports Agency has raised and paid out over $100M to NCAA student-athletes through Name, Image, and Likeness (NIL). Blueprint Sports Agency simplifies the Wild West, which is today's college athletics, by offering an easy-to-use and comprehensive solution that sets the standard for NIL and commercial sports marketing. We are exceptional at raising commercial NIL funds, handling complex contracts for athletes, powering payments to athletes, and providing the data and solutions to manage your NIL budgets. By choosing Blueprint Sports, you're not just selecting a service provider; you're partnering with a leader in the NIL field, committed to empowering student-athletes and reshaping the future of college sports.
Internship Overview:We're looking for motivated and enthusiastic Business Development & Sponsorships Intern(s) to join our team for the 2025 season. This internship offers a hands-on opportunity to gain experience in sports sponsorship, sales, and marketing while contributing to the growth of our collectives. This internship offers a unique opportunity to learn and grow within a leading NIL collective organization, and get exclusive media access to games and events.
The location of the internship will be at specific collectives within our portfolio.
Key Responsibilities:
Assist the business development team in identifying and researching potential partners and industries within the surrounding region
Support the creation of sales presentations, proposals and sponsorship packages tailored to client needs
Conduct outreach to potential sponsors to schedule meetings and presentations
Help manage and track engagement in CRM software
Collaborate with the marketing and events teams to ensure sponsor activations are executed effectively
Assist in preparing for and attending client meetings, community events and game days to network with potential partners
Support the team with administrative tasks as needed to facilitate smooth sales operations
Desired Skills & Experience:
Currently pursuing a degree in Marketing, Business, Sport Management, or a related field
Strong interest in college sports, particularly football and basketball
Excellent communication, organization, and interpersonal skills
Proficient in Microsoft Office Suite and/or Google Suite; familiarity with CRM software preferred
Self-starter attitude with a willingness to learn and contribute to a small team.
What You'll Gain:
Real-world experience in sports sponsorship sales and business development
Opportunities to network with industry professionals and local business leaders
Insight into the operations of an agency working withing collegiate athletics
Hands-on involvement in building partnerships that contribute to the growth of the collective and affiliated student athletes
A chance to work in a dynamic, fast-paced environment where your contributions make a real impact.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, disability, gender identity, marital or veteran status, or any other protected class.
Sales and Marketing Internship
Data science internship job in Henderson, NV
Job DescriptionThe AEC Marketing internship is an opportunity like no other. Here you will have the opportunity to learn and develop crucial skills in sales, persuasion, work ethic, and professional communication. Completing the AEC program will allow you to fill your resume with real numbers, data and professional experiences. Don't wait, get a head start and come join the team today!
Responsibilities & Expectations
Develop, refine and master sales and communication skills
Successfully engage with clients and provide necessary support for success
Promote like-minded success through friendly competition and growth mindset training
Be coachable
Promote positivity and creative thinking in order to help your team's sales and customer service processes
Qualifications & Skills
Verbal communication
Organization
Scheduling
Time management
Professionalism
Customer focus
Earnings & Company Benefits
Average First Year earns $ 25,000-$30,000 in commission (Realistic opportunity to make more)
Multiple extra bonuses, competitions, incentives/prizes and opportunities are available
Housing/furniture set up for all our employees
Networking opportunities
Potential opportunity for full-time upon hiring
The opportunity to network with like-minded Individuals from all over the country
Health and Dental
Lifetime gym membership
Leadership development
The opportunity to live in The San Francisco Bay Area.
E04JI802qmf3407odo3
Data Analyst
Data science internship job in Las Vegas, NV
White Pine Innovations is part of the Seneca Nation Group (SNG) portfolio of companies. SNG is Seneca Holdings' federal government contracting business that meets mission-critical needs of federal civilian, defense, and intelligence community customers. Our portfolio comprises multiple subsidiaries that participate in the Small Business Administration 8(a) program. To learn more about SNG, visit the website and follow us on LinkedIn.
Our team of talented individuals is what makes us successful. To support our team, we provide a balanced mix of benefits and programs. Your total rewards package includes competitive pay, benefits, and perks, flexible work-life balance, professional development opportunities, and performance and recognition programs. We offer a comprehensive benefits package that includes medical, dental, vision, life, and disability, voluntary benefit programs (critical illness, hospital, and accident), health savings and flexible spending accounts, and retirement 401K plan. One of our fundamental principles is to offer competitive health and welfare benefits to our team members, providing coverage and care for you and your family. Full-time employees working at least 30 hours a week on a regular basis are eligible to participate in our benefits and paid leave programs. We pride ourselves on our collaborative work environment and culture, which embraces our mission of providing financial and non-financial benefits back to the members of the Seneca Nation.
In support of Bureau of Land Management (BLM) Nevada, White Pine Innovations seeks a Data Analyst in Las Vegas, NV to support the Assessment, Inventory, and Monitoring (AIM) project. The Data Analyst will support BLM Nevada in completing land health monitoring by conducting basic data analyses and reporting using AIM data.
Responsibilities include, but are not limited to:
Compile data and generate indicators for land health assessments, analyze data to prioritize and evaluate restoration treatments, assess long-term drought impacts on restoration effects, and more
Review and compile of Quality Assurance (QA) / Quality Control (QC) procedures for AIM datasets, provide technical support and training to field staff on data access, usage and interpretation, and work with BLM staff on data management and storage issues for AIM and related datasets, and complete basic analysis and reporting using AIM data as needed for completion of BLM business.
Work closely with BLM staff in Nevada to support the AIM program throughout the entire state; coordinate with a variety of BLM staff in Nevada on AIM data management and analysis tasks
Attend all necessary AIM trainings
Provide monthly quality control of collected AIM data during the field season
Conduct basic data analyses of land health using AIM data
Required Qualifications:
Education: Bachelor's degree in Biology, Ecology, Natural Resources, Statistics, or related fields
Experience: Minimum 2 years specialized experience or related graduate work
Excellent written and oral communication skills with attention to detail.
Ability to pass an extremely thorough and lengthy background check.
Desired Skills:
Field experience in vegetation/soils sampling, natural resource monitoring, plant identification.
Equal Opportunity Statement:
Seneca Holdings provides equal employment opportunities to all employees and applicants without regard to race, color, religion, sex/gender, sexual orientation, national origin, age, disability, marital status, genetic information and/or predisposing genetic characteristics, victim of domestic violence status, veteran status, or other protected class status. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, placement, promotion, termination, layoff, recall, transfer, leave of absence, compensation and training. The Company also prohibits retaliation against any employee who exercises his or her rights under applicable anti-discrimination laws. Notwithstanding the foregoing, the Company does give hiring preference to Seneca or Native individuals. Veterans with expertise in these areas are highly encouraged to apply.
Auto-ApplyAnalyst Data Governance
Data science internship job in Las Vegas, NV
Who are we hiring?
The Analyst Data Governance will be responsible for developing, implementing, and maintaining data governance frameworks and practices to ensure the integrity, quality, and security of the sphere's data assets. This position will collaborate with various stakeholders to promote effective data management.
What will you do?
Create and maintain data governance policies, standards, and procedures to ensure consistent data management practices.
Conduct regular assessments of data quality and integrity, identifying issues and recommending improvements.
Partner with data stewards and Sphere revenue teams to facilitate adherence to data governance practices and standards.
Ensure compliance with relevant data protection regulations (e.g., GDPR, CCPA) and internal policies.
Maintain comprehensive documentation, including data dictionaries, metadata, and governance frameworks.
Provide training and support to staff on data governance policies, tools, and best practices.
Assist in the creation and management of a data catalog to enhance data discoverability and usability.
Define and track key performance indicators (KPIs) to assess the effectiveness of data governance initiatives.
What do you need to succeed?
Bachelor's degree in Data Science, Information Management, Business Administration, or a related field.
Minimum 4 years of experience in data governance, data quality, data management, or related domain.
2+ years of experience with SQL, Python or other programming languages.
Experience with data governance tools (e.g., Alation) and data visualization software (e.g., Tableau, Power BI).
Proven experience developing data governance processes in complex organizations-especially where no prior framework existed.
Strong understanding of data management principles, metadata, master data, and data lineage.
Excellent critical thinking, problem-solving, and analytical skills.
Ability to translate technical concepts into business-friendly language.
Strong communication and stakeholder-management skills across technical and non-technical teams.
#LI-Onsite
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