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

Electrical Engineering Intern

Reno, NV

$19 - $25/hr

Qualifications * Must have demonstrated strong analytical skills. * Able to interpret data ... Must be currently enrolled in the Bachelor of Science, Engineering program at University of Nevada ...

Electrical Engineering Intern

Reno, NV ยท On-site

$19 - $21/hr

Qualifications * Must have demonstrated strong analytical skills. * Able to interpret data ... Must be currently enrolled in the Bachelor of Science, Engineering program at University of Nevada ...

Must have demonstrated strong analytical skills. * Able to interpret data, generate graphs, and ... Must be currently enrolled in the Bachelor of Science, Engineering program at University of Nevada ...

Electrical Engineering Intern

Reno, NV ยท On-site

$19 - $25/hr

Conduct tests and collect data using electronic test equipment. * Assist in product design ... Associate of Science Degree with minimum 2 years of engineering experience (or equivalent ...

ACT Science Tutor

Reno, NV ยท Remote

$40/hr

Advanced Scientific Reasoning Mastery: Deep knowledge of data representation (graphs, tables ... Strategic Data Analysis & Reasoning: Skilled at teaching quick graph reading, variable ...

The scope of work for a DSM Analyst generally requires some collaboration with other DSM Analysts, Data Scientists and/or Engineers, and may include team leader roles for candidates who have ...

The scope of work for a DSM Analyst generally requires some collaboration with other DSM Analysts, Data Scientists and/or Engineers, and may include team leader roles for candidates who have ...

Earth Science Tutor

Reno, NV ยท Remote

$40/hr

Adapts instruction using rock and mineral samples, weather data analysis, and interactive mapping ... scientific literacy. * Effective Teaching Methods: Ability to identify concepts students commonly ...

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Data Science Analyst Intern information

See Reno, NV salary details

$11

$22

$41

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

As of May 30, 2026, the average hourly pay for data science analyst 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 are the key skills and qualifications needed to thrive as a Data Science Analyst Intern, and why are they important?

To thrive as a Data Science Analyst Intern, you need a solid grasp of statistics, data analysis, and programming languages such as Python or R, typically supported by coursework or a degree in a quantitative field. Familiarity with data visualization tools like Tableau, SQL databases, and version control systems (e.g., Git) is often required. Problem-solving ability, attention to detail, and strong communication skills help interns effectively interpret data and share insights with team members. These skills are crucial for transforming raw data into actionable business insights and supporting data-driven decision-making.

What are some typical projects or tasks that a Data Science Analyst Intern might work on during their internship?

As a Data Science Analyst Intern, you can expect to work on projects such as cleaning and analyzing large datasets, building and testing predictive models, and creating visualizations to communicate findings to stakeholders. Interns often collaborate closely with data scientists, engineers, and business analysts, gaining exposure to real-world data challenges and learning how to apply statistical and machine learning techniques. The role usually involves using tools like Python, R, and SQL, and you may also have opportunities to present your work to different teams, helping you develop both technical and communication skills.

What does a Data Science Analyst Intern do?

A Data Science Analyst Intern assists with analyzing large datasets to uncover patterns, trends, and insights that support business decisions. They typically work alongside data scientists and analysts to clean, organize, and visualize data, as well as help build and test predictive models. Interns may also assist in preparing reports and presentations that communicate findings to stakeholders. This role provides hands-on experience with data analysis tools and techniques, and is a valuable stepping stone for a career in data science.

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

AspectData Science Analyst InternData Analyst Intern
Required SkillsBasic programming, statistical analysis, data visualizationData manipulation, Excel, basic SQL
Work EnvironmentTech companies, startups, research labsBusiness, finance, marketing sectors
Typical Duration3-6 months internship3-6 months internship

The Data Science Analyst Intern role focuses on applying statistical and programming skills to analyze complex data sets, often involving machine learning and predictive modeling. In contrast, Data Analyst Interns primarily handle data cleaning, reporting, and visualization to support business decisions. Both roles are entry-level, require similar foundational skills, and are common in tech and business industries. Understanding these differences helps candidates target their applications effectively.

What are popular job titles related to Data Science Analyst Intern jobs in Reno, NV? For Data Science Analyst Intern jobs in Reno, NV, the most frequently searched job titles are:
What job categories do people searching Data Science Analyst Intern jobs in Reno, NV look for? The top searched job categories for Data Science Analyst Intern jobs in Reno, NV are:
What cities near Reno, NV are hiring for Data Science Analyst Intern jobs? Cities near Reno, NV with the most Data Science Analyst Intern job openings:
Infographic showing various Data Science Analyst Intern job openings in Reno, NV as of May 2026, with employment types broken down into 93% Full Time, 3% Part Time, and 4% Contract. Highlights an 67% Physical, and 33% Remote job distribution, with an average salary of $46,672 per year, or $22.4 per hour.
Principal Product Manager - Product Operations, Modeled Data

Principal Product Manager - Product Operations, Modeled Data

Acxiom

Carson City, NV โ€ข On-site

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

As a Principal Product Manager for Product Operations โ€“ Modeled Data, you will own the operational standards, delivery rigor, and lifecycle execution of modeled data products that power Acxiom's internal and partner platforms. This role is responsible for ensuring modeled data assets are platformโ€ready, reliable, scalable, compliant, measurable, and consistently delivered across teams and portfolios. You will operate as a principalโ€level individual contributor, defining and evolving operating frameworks, content and metadata standards, and execution models that enable predictable, highโ€quality delivery at enterprise scale.

You will partner closely with Engineering, Data Science, Security, Privacy, and Commercial teams to ensure modeled data products integrate seamlessly with downstream platforms and operate reliably in production. This role is not about feature ideation, it is about making modeled data products work well, at scale, every day. What You Will Do: Intake, interpret, and operationalize delivery platform requirements , translating schemas, metadata expectations, SLAs, and cadence into execution standards Prepare and align modeled data assets to be platformโ€ready , ensuring metadata, schemas, and taxonomies integrate seamlessly across downstream delivery environments Establish and evolve product operations frameworks that enable consistent delivery, dependency management, and crossโ€team alignment across multiple Agile teams Proactively identify and manage delivery risks, constraints, and crossโ€platform dependencies , driving operational readiness for launches, changes, and deprecations Own production readiness, service reliability, and operational health , including incident learnings, postโ€launch reviews, and external partner change coordination Define and track operational KPIs (availability, quality, adoption, cost efficiency) and lead continuous improvement initiatives to improve scale, reliability, and efficiency Required Qualifications: 7+ years of product management experience, with significant focus on product operations or platform delivery Experience operating and scaling modeled or analytical data products in production environments 3+ years of engineering, data platform, or analytics experience Strong experience working in Agile environments with multiple dependent teams Proven production service ownership experience Experience working with regulated, sensitive, or privacyโ€constrained data Bachelor's degree in Computer Science, Engineering, Data Science, or equivalent experience What Will Set You Apart: Deep experience running product operations for data, analytics, or audience platforms Strong understanding of modeled data pipelines and analytical delivery workflows Experience operationalizing governance, compliance, and security requirements for data products Proven ability to guide and coach diverse teams through business process changes by driving alignment and execution across large, matrixed organizations Experience operating enterpriseโ€scale data platforms spanning multiple teams and delivery environments Strong systems thinking with emphasis on repeatability, scale, and operational rigor Experience with cloudโ€native data platforms (e.g.

Databricks, Snowflake) Demonstrated ability to improve delivery velocity and production reliability through process and tooling Primary Location City/State: Homebased - Conway, Arkansas Acxiom is an equal opportunity employer, including disability and protected veteran status (EOE/Vet/Disabled) and does not discriminate in recruiting, hiring, training, promotion or other employment of associates or the awarding of subcontracts because of a person's race, color, sex, age, religion, national origin, protected veteran, military status, physical or mental disability, sexual orientation, gender identity or expression, genetics or other protected status. #J-18808-Ljbffr


Acxiom logo

About Acxiom

Sourced by ZipRecruiter

We are leaders in helping brands achieve the number one mantra for every business - know your customer. For fifty years, we've helped marketers deal with a fast-changing future of growing channels, data and technology. By understanding the customer, marketers can communicate with relevance everywhere and drive better customer experiences that build a better brand and, in turn, better business. We're one of the marketing industry's most experienced, respected and forward-thinking leaders. For nearly fifty years, we've helped the world's best marketers understand their customers so that they can reach people with relevance rather than randomness. Our products and solutions form the data foundation that make it possible for marketers to drive better customer experiences and meaningful interactions at scale across every channel. Our job opportunities will give you the opportunity to showcase your talents, grow your skills, and expose you to cutting-edge technologies, whether you're an engineer, developer, products guru, systems and security expert, sales and consulting executive, or an intern looking to gain real experience with a company that will make you stand out. At Acxiom, our values begin with our associates, who are the single most important driver of our success. We're looking to hire people who share our core values: collaboration, excellence, innovation, a focus on outcomes, and being empowered to make and own decisions that benefit our clients and our company. Our values represent our brand promise - to our clients and to our associates - and define our company culture. If you are interested in applying for employment with Acxiom and need special assistance or an accommodation to apply for a posted position, contact our recruiting department at 1-877-314-2049.

Industry

Marketing

Company size

501 - 1,000 Employees

Headquarters location

Little Rock, AR, US

Year founded

1969

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