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Remote Data Science Intern Jobs in Nevada (NOW HIRING)

Reflex Media, Inc.

AI Technology Associate

Las Vegas, NV · On-site +1

$80K - $95K/yr

Remote - Anywhere in the USA (Las Vegas, NV strongly preferred) Company: Seeking.com Department: Technology (cross-functional rotation across DEA, AI, Product, Development, and Data Science) Type:

IQVIA

Lead Clinical Data Manager (Remote)

Las Vegas, NV · Remote

$68.50K - $217.10K/yr

This is a remote/WFH position with all necessary equipment provided. What You'll Do * Lead data ... Bachelor's degree in life sciences, health, clinical, biological, or mathematical field. * No less ...

IQVIA

Lead Clinical Data Manager (Remote)

Las Vegas, NV · Remote

$68.50K - $217.10K/yr

This is a remote/WFH position with all necessary equipment provided. What You'll Do * Lead data ... Bachelor's degree in life sciences, health, clinical, biological, or mathematical field. * No less ...

Click Bond Inc.

Intern, Outside Sales

Carson City, NV · On-site +1

$14.75 - $19.75/hr

The CRM Project Coordinator Intern will support the Commercial Team with CRM data organization ... remote environment. * Interest in sales operations, business processes, CRM systems, or data ...

ECF Data

Technical Project Manager

Las Vegas, NV · On-site +1

$40/hr

Coordinated cross-functional teams (engineering, data science, business stakeholders, and ... This is a remote position. Compensation: $40.00 per hour We are a Microsoft Gold Partner We serve ...

Deloitte

GCP Manager

Las Vegas, NV · On-site +1

Support existing data science and modeling teams by aligning platform capabilities to business and ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

Renown Health

Senior Platform Architecture Engineer

Reno, NV · On-site +1

$55 - $71/hr

This position is open to remote candidates who reside in one of the following states only: Nevada ... Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, Data Science, or ...

Renown Health

Senior Platform Architecture Engineer

Reno, NV · On-site +1

$55 - $71/hr

This position is open to remote candidates who reside in one of the following states only: Nevada ... Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, Data Science, or ...

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Remote Data Science Intern information

What are the key skills and qualifications needed to thrive as a Remote Data Science Intern, and why are they important?

To thrive as a Remote Data Science Intern, you need a solid background in statistics, programming (Python or R), and data analysis, typically supported by coursework in data science or related fields. Familiarity with tools like Jupyter Notebook, SQL databases, and version control systems such as Git is often expected. Strong problem-solving abilities, self-motivation, and clear communication skills help you collaborate effectively and manage tasks independently in a remote setting. These skills ensure you can analyze data accurately, contribute to team projects, and adapt to the demands of remote work environments.

What types of projects do Remote Data Science Interns typically work on, and how do they collaborate with their teams?

Remote Data Science Interns often work on projects such as data cleaning, exploratory data analysis, building predictive models, or developing data visualizations. Collaboration typically occurs through virtual meetings, shared code repositories, and project management tools, allowing interns to interact regularly with data scientists, engineers, and business analysts. Interns are usually assigned a mentor or supervisor who provides guidance and feedback, helping them align their work with team objectives. This setup not only enhances technical growth but also fosters communication and teamwork skills essential for future roles.

What is a Remote Data Science Intern?

A Remote Data Science Intern is a student or recent graduate who works with a company or organization on data science projects while working from a location outside the main office, typically from home. Their tasks often include analyzing large datasets, creating data visualizations, building statistical models, and supporting the team with data-driven insights. Remote internships offer flexibility and allow interns to gain real-world experience in data science while collaborating with teams using digital communication and project management tools. This type of internship helps interns build valuable technical and soft skills that are essential in the evolving data science field.

What is the difference between Remote Data Science Intern vs Remote Data Analyst?

AspectRemote Data Science InternRemote Data Analyst
Required CredentialsTypically pursuing or recently completed a degree in Data Science, Computer Science, or related fieldsOften holds a degree in Statistics, Mathematics, or related areas; may have certifications in data analysis tools
Work EnvironmentInternship programs, often part-time or project-based, with mentorshipFull-time or part-time remote roles, focusing on data interpretation and reporting
Employer & Industry UsageUsed by tech companies, startups, and research institutions for entry-level talentCommon across finance, marketing, healthcare, and tech industries for data-driven decision making

The main difference between a Remote Data Science Intern and a Remote Data Analyst lies in experience and scope. Interns are typically students or recent graduates gaining hands-on experience, while Data Analysts are more experienced professionals focused on analyzing and interpreting data to support business decisions. Both roles often work remotely and require familiarity with data tools, but their responsibilities and career stages differ.

What are the most commonly searched types of Remote Data Science jobs in Nevada? The most popular types of Remote Data Science jobs in Nevada are:
What are popular job titles related to Remote Data Science Intern jobs in Nevada? For Remote Data Science Intern jobs in Nevada, the most frequently searched job titles are:
What job categories do people searching Remote Data Science Intern jobs in Nevada look for? The top searched job categories for Remote Data Science Intern jobs in Nevada are:
What cities in Nevada are hiring for Remote Data Science Intern jobs? Cities in Nevada with the most Remote Data Science Intern job openings:
Remote Data Science Intern jobs near you
AI Technology Associate

AI Technology Associate

Reflex Media, Inc.

Las Vegas, NV • On-site, Remote

$80K - $95K/yr

Full-time

Posted 24 days ago

Job description

AI & TECHNOLOGY ASSOCIATE (Entry-Level)
The future of software is AI. We're looking for people who already live there.
Location: Remote - Anywhere in the USA (Las Vegas, NV strongly preferred)
Company: Seeking.com
Department: Technology (cross-functional rotation across DEA, AI, Product, Development, and Data Science)
Type: Paid, Full-Time
Compensation: $80,000 - $95,000 annually (based on experience and qualifications)
Duration: 6 to 12 months - with a clear path to a permanent role on the DEA, AI, Product, Development, or Data Science team
About Seeking
Seeking.com is the world's largest premium dating platform. Founded and led by an MIT alumnus, headquartered in Las Vegas, and operating as a hybrid-remote organization, we sit at the intersection of artificial intelligence, software engineering, data science, and the psychology of human connection.
At Seeking, we believe the future of software is AI. We don't treat AI as a feature bolted onto existing products. We treat it as the foundation of everything we build. Our codebase, our product experiences, our data pipelines, and our decision-making infrastructure are all being reimagined around what AI makes possible. If you're the kind of person who already uses AI every day - to write code, to analyze data, to prototype, to think - you already understand why we operate this way.
Beyond the platform itself, our ambition is larger. We are rethinking how social networks can be redesigned to help people build stronger, more positive relationships - with others and with themselves - with the goal of advancing humanity as a whole. The technology we build serves that mission.
The Role: Five Teams, One Launchpad
This is not a traditional internship. This is not a job where you observe. This is a 6-to-12-month entry-level position designed to immerse you in the technical core of Seeking and help you discover which team is the right long-term home for your talents and ambitions.
You will rotate through real work across five teams:
  • DEA (Data Engineering & Analytics) - the team that builds and maintains the data infrastructure powering every decision we make. Pipelines, warehouses, dashboards, and the analytics layer that turns raw data into business intelligence.
  • AI - the team that researches, develops, and deploys AI/ML models across the platform. Recommendation systems, content moderation, matching algorithms, personalization engines, and experiments with emerging AI capabilities.
  • Product - the team that defines what we build and why. Product strategy, user research, design, experimentation, and the end-to-end lifecycle from concept to launch.
  • Development - the team that builds the platform itself. Front-end, back-end, mobile, APIs, and infrastructure. In our vision, software will increasingly be written, tested, and deployed with AI as a co-pilot and eventually as the primary author. We need developers who can work in this new paradigm.
  • Data Science - the team that turns data into understanding. Statistical modeling, experimentation design, behavioral analysis, and the deep quantitative work that powers our product and business strategy. Data scientists at Seeking don't just crunch numbers - they uncover the patterns of human behavior that drive every decision we make.

The unifying thread across all five teams is AI. Every team at Seeking uses AI. Every team needs people who don't just understand AI but who think with it, build with it, and push its boundaries daily. That's what makes this role unique: no matter which team you ultimately join, your AI fluency will be your most valuable asset.
Who We're Looking For
The right candidate for this role is rare: someone who combines deep technical curiosity with the drive and versatility to contribute across multiple disciplines. Specifically:
  • You are AI-native. This is the non-negotiable. You don't just "use" AI - you live in it. You've used tools like ChatGPT, Claude, Cursor, GitHub Copilot, Midjourney, or similar to write code, analyze data, generate designs, automate workflows, or build prototypes. You have a point of view on where AI is heading. You've probably built something with AI that nobody asked you to build. If someone has to explain to you why AI matters, this role is not for you.
  • You are a software person at your core. You can code. You understand how software systems work - APIs, databases, front-end and back-end architecture, deployment. Whether your path leads to engineering, data, AI, or product, you speak the language of software fluently. You've built things - apps, scripts, tools, automations, models - and you can show them to us.
  • You are relentlessly curious. You're the person who signs up for every beta, reads every changelog, and has an opinion on every new tool before anyone else at your school or job has even heard of it. You investigate what's next because you can't help yourself.
  • You think in systems. You don't just see a feature - you see the data that feeds it, the model that powers it, the pipeline that delivers it, the product logic that triggers it, and the user behavior that validates it. You instinctively think about how the pieces connect.
  • You have a builder's mentality. You don't wait for instructions. You see a problem, you prototype a solution, you test it. You have side projects, experiments, or personal tools you've built because you were curious. Your GitHub (or equivalent) has activity.
  • You are hungry. You see this role as a launchpad into a career at the frontier of AI and technology. You want to grow into a data engineer, an AI/ML engineer, a product manager, a software developer, or a data scientist - and you're willing to outwork and outlearn everyone around you to get there.
  • You believe technology should serve humanity. You're drawn to the idea that platforms like Seeking can be redesigned to help people build better relationships and better lives. You want your technical skills to mean something beyond the code.

What You'll Do
Your work will span real projects across all five teams. Depending on the rotation, expect to:
Data Engineering & Analytics (DEA)
  • Build and maintain data pipelines that power analytics, reporting, and machine learning models
  • Write SQL queries and build dashboards to surface insights for product, marketing, and leadership teams
  • Work with data warehousing tools and ETL processes to ensure data integrity and accessibility
  • Analyze user behavior and business metrics to identify patterns, anomalies, and opportunities
  • Automate data workflows using Python, SQL, and AI-assisted tooling
Artificial Intelligence
  • Assist in developing, training, and evaluating AI/ML models for recommendation, personalization, and content moderation
  • Experiment with large language models, generative AI, and emerging AI frameworks
  • Prototype AI-powered features and present findings to the AI and product teams
  • Evaluate new AI tools, platforms, and research for potential application to Seeking's product
  • Contribute to the team's exploration of how AI can fundamentally improve how users connect on the platform
Product
  • Write product requirements, user stories, and acceptance criteria for features in development
  • Conduct user research, competitive analysis, and market research to inform product decisions
  • Design and run A/B experiments to optimize engagement, conversion, and retention
  • Create wireframes and prototypes using Figma, code, or AI-assisted design tools
  • Collaborate with engineering, design, and QA to ship features end-to-end
Development
  • Write production code for features, services, and internal tools across the Seeking platform
  • Use AI coding assistants (Cursor, Copilot, Claude) as part of your daily development workflow
  • Participate in code reviews, architecture discussions, and technical design sessions
  • Build and deploy microservices, APIs, and front-end components
  • Contribute to the team's evolving practices around AI-assisted software development - helping define how we build software in an AI-first world
Data Science
  • Build statistical models to understand user behavior, predict outcomes, and inform product strategy
  • Design and analyze experiments (A/B tests, multivariate tests) to measure feature impact with rigor
  • Develop behavioral segmentation models that help us understand and serve different user populations
  • Create data visualizations and presentations that translate complex findings into clear, actionable recommendations
  • Collaborate with Product, AI, and DEA teams to ensure data science insights are embedded into every major decision
Across All Teams
  • Use AI tools daily to accelerate your work - research, prototyping, coding, analysis, and documentation
  • Present your work, findings, and proposals to senior leadership regularly
  • Identify inefficiencies and propose AI-driven solutions to improve team productivity and product quality
  • Contribute to Seeking's broader vision of advancing how technology serves human relationships

Qualifications
Required
  • Bachelor's degree in Computer Science, Software Engineering, Data Science, Mathematics, or a related technical field (recently completed or in final semester). We appreciate candidates with Ivy League pedigree, but we equally value those from any institution who have maintained a strong GPA and demonstrated they can excel academically.
  • Demonstrated AI proficiency. You actively and fluently use AI tools (ChatGPT, Claude, Cursor, Copilot, Midjourney, or similar) to code, analyze, build, and think. You can demonstrate specific examples of how AI has accelerated your work or enabled you to build something you couldn't have built without it. This is the single most important qualification.
  • Strong software engineering fundamentals. Proficiency in at least one programming language (Python, JavaScript, TypeScript, or similar). Understanding of APIs, databases, version control (Git), and basic system architecture.
  • Data fluency. Comfortable working with data - querying with SQL, analyzing datasets, interpreting metrics, and using data to inform decisions.
  • Builder's portfolio. You have built things - apps, tools, models, automations, prototypes, or side projects - and you can show them to us. A GitHub repo, a portfolio, a demo, a write-up - something tangible.
  • Strong analytical and problem-solving skills - you think logically, debug methodically, and reason from first principles
  • Excellent communication skills - you can explain complex technical concepts to both technical and non-technical audiences
  • Self-directed and proactive - you don't wait to be told what to do, you find problems and solve them
  • Must be able to travel for team meetings, company events, and project needs.
  • Strong preference for candidates open to relocating to Las Vegas, Nevada - our headquarters and technology hub.
Preferred
  • Experience with machine learning frameworks (TensorFlow, PyTorch, scikit-learn) or LLM APIs (OpenAI, Anthropic, etc.)
  • Experience building data pipelines or working with data warehousing tools (BigQuery, Snowflake, Redshift, or similar)
  • Familiarity with cloud platforms (AWS, GCP, or Azure)
  • Experience with product analytics tools (Mixpanel, Amplitude, Google Analytics)
  • Familiarity with Agile/Scrum development methodologies
  • Exposure to design tools (Figma, Framer) and prototyping workflows
  • Coursework or self-study in machine learning, natural language processing, computer vision, or behavioral science
  • Experience with statistical modeling, hypothesis testing, or experimental design (R, Python statsmodels, or similar)
  • Experience in dating, social networking, marketplace, or consumer subscription products

What We Offer
  • Competitive compensation: $80,000 - $95,000 annually - above the market average for entry-level technical roles, because we're looking for above-average people.
  • A real career path with five possible destinations. This position is designed to convert into a permanent role on the DEA, AI, Product, Development, or Data Science team. You'll discover where you excel, and we'll help you get there.
  • AI is not a buzzword here - it's how we work. You'll use AI every single day, across every team. This isn't a company that's "exploring" AI. This is a company that's building its future on it.
  • Mentorship from senior engineers, data scientists, and product leaders who will invest in your growth and challenge you to think bigger.
  • Meaningful work from day one. You'll write production code, build real pipelines, ship features to millions of users, and prototype AI-powered experiences. No busywork.
  • A front-row seat to the AI transformation of software. Our goal is a world where software is increasingly written by AI. You'll be part of defining what that looks like in practice - not reading about it in a blog post.
  • A mission worth building for. Seeking isn't just a dating platform. We're rethinking how technology can help people build stronger relationships and better lives. Your technical skills will serve a purpose bigger than the code.
  • A culture that rewards builders, not talkers. We don't reward attendance or activity. We reward people who ship, who solve, and who push the technology forward.

How to Apply
In your cover letter, answer these two questions:
1. Tell us about something you built using AI. It doesn't have to be polished or published. We want to understand how you think about AI as a tool, what problem you applied it to, and what you learned. Be specific.
2. Of the five teams - DEA, AI, Product, Development, or Data Science - which one excites you most right now, and why? (It's okay if you're not sure. We want to see how you think about where your skills and curiosity intersect.)
Include links to your work: GitHub, portfolio, side projects, demos, blog posts, Kaggle notebooks - anything that shows us how you think and what you build.
We're not looking for someone who can pass a coding interview. We're looking for someone who can't st...

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