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Remote Data Science Intern Jobs in Shingle Springs, CA

ASIC Gen-AI Data Scientist

Folsom, CA · On-site +1

$119K - $286K/yr

You will collaborate with cross-functional teams across System Architecture, Logic Design, Analog/Mixed-Signal Design,Data Science and IT to prototype, build, and scale practical AI-driven solutions ...

ASIC Gen-AI Data Scientist

Folsom, CA · On-site +1

$145K - $336K/yr

You will collaborate with cross-functional teams across System Architecture, Logic Design, Analog/Mixed-Signal Design,Data Science and IT to prototype, build, and scale practical AI-driven solutions ...

Bachelor's or Master's degree in Business, Computer Science, Data Science, Statistics, Mathematics, Engineering, or equivalent work experience. Location Remote enue, risk reduction, and customer ...

... Data Scientists and/or Engineers, and may include team leader roles for candidates who have leadership capabilities and interests. Work Locations: * Reno, NV * Sacramento, CA * United States - Remote ...

Bachelor's degree in Geography, Natural Resources Management, Earth Sciences, Engineering, Computer ... data collection solutions and mobile GIS applications. Work Location Remote work is available ...

Develop, edit, and maintain GIS maps, graphics, and tabular data products using ESRI software ... Bachelor's degree in Geography, Natural Resources Management, Earth Sciences, Engineering, Computer ...

Remote micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety ... Author and review evaluation tasks based on DSURs, PSURs/PBRERs, and associated safety data and ...

Remote micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety ... Author and review evaluation tasks based on DSURs, PSURs/PBRERs, and associated safety data and ...

Remote micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety ... Author and review evaluation tasks based on DSURs, PSURs/PBRERs, and associated safety data and ...

Remote micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety ... Author and review evaluation tasks based on DSURs, PSURs/PBRERs, and associated safety data and ...

Remote micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety ... Author and review evaluation tasks based on DSURs, PSURs/PBRERs, and associated safety data and ...

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Remote Data Science Intern information

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How much do remote data science intern jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for remote data science intern in Shingle Springs, CA is $23.32, according to ZipRecruiter salary data. Most workers in this role earn between $17.93 and $25.38 per hour, depending on experience, location, and employer.

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 types of projects does a remote data science intern typically work on, and how do they collaborate with their team?

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 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 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 cities near Shingle Springs, CA are hiring for Remote Data Science Intern jobs?

Cities near Shingle Springs, CA with the most Remote Data Science Intern job openings:

ASIC Gen-AI Data Scientist

Micron

Folsom, CA • On-site, Remote

$119K - $286K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 4 days ago


Micron Technology rating

8.6

Company rating: 8.6 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

26th of 161 rated electronics manufacturers


Job description

Our vision is to transform how the world uses information to enrich life for all.

Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.

Our vision is to transform how the world uses information to enrich life for all.

Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing!

Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn,communicateand advance faster than ever.

As part of the ASIC Technical Products Engineering organization, you will help drive the development of next-generation GenAI, machine learning, and sophisticated data analytics solutions for semiconductor engineering. In this role, you will work on intelligent systems that improve engineering productivity, strengthen technical decision-making, and unlock insights from complex ASIC pre and post silicon engineering workflows.

You will collaborate with cross-functional teams across System Architecture, Logic Design, Analog/Mixed-Signal Design,Data Science and IT to prototype, build, and scale practical AI-driven solutions that improve quality, cost, cycle time, and engineering efficiency.

Key Responsibilities

  • GenAI System Development:Design, build, and improve GenAI-powered and agentic systems supporting ASIC semiconductor engineering workflows such as code generation, data extraction, analytics, documentation automation, failure triage, root cause analysis, and technical knowledge retrieval.
  • LLM Workflow Engineering:Build, evaluate, andoptimizeLLM-based workflows, including prompting, developing skills, retrieval-augmented generation (RAG and Graph-RAG), benchmarking, and quality evaluation.
  • Machine Learning Production:Develop and productionize machine learning and deep learning models for classification, regression, anomaly detection, failure analysis, and engineering decision support.
  • Cross-Functional Collaboration:Partner with domain experts and cross-functional teams to translate complex engineering problems into scalable AI/ML and analytics solutions.
  • Production Deployment:Support deployment, monitoring, and operationalization of AI/ML solutions in cloud and enterprise environments.
  • Technical Communication:Communicate technical findings, recommendations, and model outcomes clearly to both technical and non-technical stakeholders.
  • Innovation Leadership:Identifyand drive high-impact opportunities where GenAI, machine learning, and analytics can improve engineering productivity and business outcomes.

Minimum Qualifications

  • Bachelor'swith 4+ years orMaster's degree with 2+ inElectricalEngineering, Computer Science, Data Science, Statistics, Artificial Intelligence, ora relatedfield.
  • Minimum 2 years of hands-on experience developing and deploying AI applications insemiconductors, electronics, orother engineeringindustries.
  • Strong programmingproficiencyin Python.
  • Familiarity with modern AI coding tools / agentic coding harnesses, such as Claude Code, Cursor, Gemini CLI, or similar tools.
  • Practical experience building and launching AI/ML systems involving LLMs, including RAG, agentic workflows, and frameworks.

Preferred Qualifications

  • Experience building agentic systems or AI solutions for ASIC semiconductor pre-silicon and post-silicon workflows.
  • Deep understanding of semiconductor-specific AI/ML applications
  • Cloud experience with GCP, AWS, or Azure, including deploying ML pipelines in production.
  • Experience with LLM training, inference, andevaluationworkflows, including prompt design, benchmarking, validation, or retrieval-augmented systems.
  • Experience with data analytics and visualization to deliver actionable engineering insights using tools and libraries such as pandas, scikit-learn, matplotlib,plotly, or similar ecosystems.
  • Experience with web application technologies such as JavaScript, HTML, and CSS.
  • Experience designing scalable, enterprise-grade AI/ML systems with attention to reliability, traceability, and operational readiness.
  • Familiarity with document-processing pipelines, technical knowledge platforms, or retrieval systems for engineering content.
  • Experience working in cross-functional environments spanning systems architecture, engineering, data science, and IT.

The US base salary range that Micron Technology estimates it could pay for this full-time position is:

$119,000.00 - $286,000.00 a year

Additional compensation may include benefits, bonuses and equity.
Our salary ranges are determined by role, level, and location.The range displayed on each job posting reflects the minimum and maximum target base pay for new hire salaries of the position across all US locations.Within the range, individual pay is determined by work location and additional job-related factors, including knowledge, skills, experience, tenure and relevant education or training. The pay scale is subject to change depending on business needs.Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.

As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits.

Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.

To learn about your right to work click here.

To learn more about Micron, please visit micron.com/careers

US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron's People Organization at hrsupport_na@micron.com or 1-800-336-8918 (select option #3)

Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.

Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.

AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.

Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.


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