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Remote Data Science Intern Jobs in Reno, NV (NOW HIRING)

Socure

Staff Data Scientist - RiskOS

Carson City, NV · Remote

Partner with platform and engineering teams to define and build core RiskOS data science infrastructure, including feature stores, model‑serving APIs, evaluation services, and monitoring frameworks ...

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 ...

General Motors

Senior AI/ML Engineer

Carson City, NV · On-site +1

$102K - $140K/yr

Remote/Hybrid: This role is based remotely but if you live within a 50-mile radius of Sunnyvale, CA ... We partner closely across AI/ML engineers , Product Operations , Product Management , Data Science ...

Switch

Data Center Quality Lead

Sparks, NV · On-site +1

Bachelor's degree in Engineering, Construction Management, Science, or related field Why Switch ... Flexibility & Remote Opportunities - Whether in-office, hybrid, or fully remote, we offer the ...

Switch, Inc.

Data Center Quality Lead

Reno, NV · On-site +1

Bachelors degree in Engineering, Construction Management, Science, or related field Why Switch? * A ... Flexibility & Remote Opportunities Whether in-office, hybrid, or fully remote, we offer the ...

Qualus

Demand Side Management Analyst

Reno, NV · On-site +1

... 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 ...

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Remote Data Science Intern information

See Reno, NV salary details

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

As of Jun 21, 2026, the average hourly pay for remote data science intern in Reno, NV is $22.44, according to ZipRecruiter salary data. Most workers in this role earn between $17.26 and $24.42 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 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 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 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 are popular job titles related to Remote Data Science Intern jobs in Reno, NV? For Remote Data Science Intern jobs in Reno, NV, the most frequently searched job titles are:
What job categories do people searching Remote Data Science Intern jobs in Reno, NV look for? The top searched job categories for Remote Data Science Intern jobs in Reno, NV are:
What cities near Reno, NV are hiring for Remote Data Science Intern jobs? Cities near Reno, NV with the most Remote Data Science Intern job openings:
Remote Data Science Intern jobs near you

Data Scientist

California Capital Insurance (CIG)

Reno, NV • On-site, Remote

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

Job description

Why CIG?

At Capital Insurance Group we offer our employees more than just a job. We foster career growth, provide opportunities to give back to our communities, and help you take the next step in your career!

CIG was founded in 1898 by a group of earnest farmers in need of protection and today, we are the leading West Coast Property & Casualty insurer. CIG is certified as a Great Place to Work and provides a collaborative, inclusive, and fun work culture for all employees.

Why choose CIGs Actuary and Analytics Team?

The Actuarial and Analytics team is where you can hone your problem-solving abilities, develop inspired solutions to emerging issues, and grow into a technical insurance leader within CIG.

Benefits

  • Accrue twenty-one days of Paid Time Off during your first year
  • Up to eighty-seven percent of benefits are covered by CIG for you and your family members
    • Medical, Dental, Vision plans, Telehealth
  • One hundred percent covered plans
    • Basic Life & AD&D
    • Employee Assistance
    • Leave Management
    • Long Term Disability
    • Short Term Disability (Outside of CA)
    • Employee Benefit Advocacy Hot Line
  • Family Caregiver Support (Homethrive)
  • Child Care Resources (Tootris)
  • Business Travel Accident Protection
  • Voluntary benefit offerings
    • Short-term Disability (CA only)
    • Voluntary Life AD&D self, spouse, and child plans
    • Flexible Spending (FSA)
    • Health Savings (HSA)
    • Hospital Indemnity
    • Accidental Injury
    • Pet Insurance
    • Commuter Benefit
  • Critical Illness
  • ARAG Legal Services
  • Norton LifeLock
  • Nine paid holidays, plus two floating holidays
  • Above and Beyond Reward Recognition Program
    • Kudos & Shout Out Points Program
    • Quarterly Above and Beyond Bonus Program
    • Annual Above and Beyond Bonus Program
  • Competitive compensation
    • Base compensation
    • Salary Management Spot Bonuses
    • Annual Incentive/Profit sharing program, potential payout annually based on company results.
  • Discount partnerships
    • Gym memberships, credit union, travel, shopping, restaurants, theme parks, and more
  • Insurance, educational reimbursement, and bonus programs
  • Employee Referral Bonus Program
  • Home and Auto Insurance Discount Program.
  • Paid Volunteer Time Through company-planned community events and choose your own adventure PVT in giving back in ways that are meaningful to you!
  • Retirement savings benefit (401k and Roth + match)
  • Health & Financial Wellness
    • Wellness platform, tools, and events - Vitality
    • Health Savings Account match
    • Financial Wellness Resources

Work Environment

This is a hybrid-eligible position, where Monday through Wednesday would be working in one of our offices, with Thursday and Friday eligible for work-from-home days. Office locations include: Reno (NV), Monterey (CA), and Phoenix (AZ).

JOB OVERVIEW:

Capital Insurance Group is seeking a candidate to join our Actuarial & Analytics Department. We look to partner with a candidate who fits with the CIG culture, excels as a decision enabler, and can effectively collect and communicate results to key stakeholders. This person will help shape the Actuarial & Analytics department, driving strategy and analytics objectives.

RESPONSIBILITIES:

As a Data Scientist, you will perform in-depth analyses. The results from your projects will facilitate change throughout the organization: from developing more sophisticated underwriting models to improving claim outcomes by building predictive claim metrics. The successful candidate has good business judgement, enjoys finding and creatively solving complex business issues, and successfully drives projects through to implementation.

  • Advanced Analytics Understand and implement predictive modeling and machine learning techniques (e.g. regression, classification, clustering) and how they apply in insurance. You will be responsible for fully understanding techniques used, explaining validation metrics, identifying optimal models, etc.
  • Story Telling Demonstrate experience working with data visualization. Communication will be fundamental to success. You will be responsible for fully understanding department-specific needs, identifying and producing robust, intuitive solutions that enable decision makers.
  • Collaboration Work directly with internal partners to effectively launch analytics solutions across the organization. Success will be measured by the ability to effectively integrate analytics solutions into existing workflows and achieve buy-in from all parties, ultimately translating into improved financial performance.
  • Dataset Architecture All valuable analyses start with quality data. You will be responsible for compiling relevant data from multiple internal databases, utilizing alternative data for validation, and clearly documenting your process.
  • Education Actively pursue continuing education development opportunities. You will have access to several continuing education programs offered through CIG including analytics and data science training. CIG also supports travel to conferences that offer career development opportunities when available.
  • Leadership You will have opportunities to work on highly visible projects. You will be expected to pitch ideas and influence the status quo.
  • Manage Responsible for managing multiple high visibility projects at once. You will be expected to prioritize and execute projects in the face of ambiguity.

Job description is not prescriptive, but rather a guide as to the duties and responsibilities you will have, however it is not limited to the listed above.

MINIMUM REQUIREMENTS:

  • Possesses a Bachelors, Masters, or PhD in a quantitative or scientific field
  • 7+ years of experience required. Special consideration will be given to candidates with advanced machine learning experience
  • Experience creating and completing end-to-end analyses or modeling projects
  • Background in statistics
  • Demonstrated ability to implement findings from predictive modeling analyses
  • Extensive experience using SQL and a comprehensive understanding of relational databases is required
  • Advanced knowledge of Python, R, or another object-oriented statistical language
  • Experience with data visualization software (e.g., Tableau) is a plus
  • Candidates must be authorized to work in the United States without the need for current or future visa sponsorship.

Career Path potential:

  • Senior Data Scientist
  • Analytics Manager
  • Lateral Career Path option
    • Senior Data Engineer

Salary Range: $91,761 - $152,938

The salary range listed here has been provided to comply with local regulations and represents a potential base salary range for this role. Please note that actual salaries may vary within the range above or below, depending on experience and location. We look at compensation for each individual and base our offer on your unique qualifications, experience, and expected contributions. This position may also be eligible for other types of compensation in addition to base salary, such as benefits and bonus programs.

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