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Data Science Associate Jobs in Reno, NV (NOW HIRING)

Network Install Technician

Sparks, NV · On-site

$24 - $31/hr

... Science, Network Engineering), or experience in professional or military IT-related roles ... Associate) - Experience conducting behavioral interviews and hiring - Experience in a data center ...

Associate's or Junior College degree in science or engineering field * Experience using ISO 9001 ... Extensive data analysis experience such as statistical process control of production data

CGI by Timken is in search of an Associate Manufacturing Engineer Job Summary The Database and ERP ... Recommends incorporation of new data technology for company applications where feasible and ...

CGI by Timken is in search of an Associate Manufacturing Engineer Job Summary The Database and ERP ... Recommends incorporation of new data technology for company applications where feasible and ...

Groundwater science * Create, modify and develop drawing packages (plans, profiles, sections ... Under general supervision, assist with collecting, compiling, and analyzing data from the physical ...

Software Engineer II

Sparks, NV · On-site

$50K - $59K/yr

Architect complex API integrations and data exchange workflows, conducting deep-dive research into ... Bachelor's degree in Computer Science, Application Development, or a related field required.

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Data Science Associate information

See Reno, NV salary details

$57.3K

$67.8K

$128.6K

How much do data science associate jobs pay per year?

As of Jul 11, 2026, the average yearly pay for data science associate in Reno, NV is $67,839.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,800.00 and $59,300.00 per year, depending on experience, location, and employer.

How does a Data Science Associate typically collaborate with other departments or teams within an organization?

Data Science Associates frequently work cross-functionally, partnering with teams such as engineering, product management, and business analytics to understand project requirements, share findings, and implement data-driven solutions. Collaboration often involves translating complex data results into actionable insights for non-technical stakeholders, ensuring alignment on project goals and deliverables. This role requires strong communication skills, as associates routinely participate in meetings, present analyses, and gather feedback to refine their models or analyses. Effective teamwork helps ensure that data science initiatives support broader business objectives.

Is 40 too late for data science?

Age is not a barrier to becoming a data science associate; many professionals transition into data science later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

Is an Associates in data science worth it?

An associate's degree in data science can provide foundational skills in data analysis, programming, and statistics, which may help entry-level candidates qualify for junior data science roles. However, many employers prefer candidates with a bachelor's degree or higher, and practical experience or certifications in tools like Python, R, or SQL can enhance job prospects. The value depends on career goals and the specific requirements of potential employers.

What can I do with an associate's degree in data science?

A Data Science Associate with an associate's degree can work as a data analyst, supporting data collection, cleaning, and basic analysis using tools like Excel, SQL, and Python. They often assist in generating reports, visualizations, and insights under supervision, and may pursue certifications to enhance their skills for more advanced roles.

What are Data Science Associates?

Data Science Associates are early-career professionals who support data-driven projects by collecting, cleaning, analyzing, and interpreting large datasets. They typically work under the guidance of more experienced data scientists and help build predictive models, generate reports, and provide insights to inform business decisions. This role often requires proficiency in programming languages like Python or R, familiarity with statistical methods, and strong problem-solving skills. Data Science Associates play a crucial part in transforming raw data into actionable information for organizations.

What is the role of an associate data scientist?

An associate data scientist supports data analysis and modeling tasks by cleaning and processing data, developing algorithms, and creating visualizations. They often work under supervision to assist in building predictive models and may use tools like Python, R, or SQL to analyze data and generate insights.

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

To thrive as a Data Science Associate, you need strong analytical skills, a solid foundation in statistics and mathematics, and proficiency in programming languages like Python or R, often supported by a degree in data science, computer science, or a related field. Familiarity with machine learning frameworks, data visualization tools, and database systems such as SQL is typically required. Excellent problem-solving abilities, effective communication, and collaboration skills help you translate complex data insights into actionable business strategies. These skills are vital for extracting meaningful value from data and supporting data-driven decision-making within organizations.

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

AspectData Science AssociateData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; often no advanced certifications required
Work EnvironmentCollaborates with data scientists and engineers; involved in building models and algorithmsFocuses on data collection, cleaning, and reporting; supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms for data-driven projectsCommon across various industries for business insights and reporting

The Data Science Associate role typically involves more technical work like building models and applying machine learning, whereas Data Analysts focus on interpreting data and creating reports. Both roles require strong analytical skills, but Data Science Associates often have a deeper understanding of programming and statistical modeling.

What are the most commonly searched types of Data Science jobs in Reno, NV? The most popular types of Data Science jobs in Reno, NV are:
What job categories do people searching Data Science Associate jobs in Reno, NV look for? The top searched job categories for Data Science Associate jobs in Reno, NV are:
Infographic showing various Data Science Associate job openings in Reno, NV as of July 2026, with employment types broken down into 1% As Needed, 70% Full Time, 27% Part Time, 1% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $67,839 per year, or $32.6 per hour.
Network Install Technician

Network Install Technician

Amazon

Sparks, NV • On-site

$24 - $31/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,956 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

Transform network infrastructure by joining our dynamic team! You'll be at the forefront of developing innovative solutions that drive network stability and scalability, using your technical expertise to create automated systems that power global technological advancement.
Infra Delivery Install Technicians will collaborate with cross-functional teams, troubleshoot complex technical scenarios, and implement strategic solutions that keep our network running seamlessly. Expect to engage in hands-on technical work that requires creativity, precision, and a passion for technological innovation.
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help.
You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
NOTE: Amazon does not sponsor for immigration, including for H-1B, TN, and other non-immigrant visas, for this role.
NOTE: Relocation assistance will be provided to eligible candidates who relocate for this position.
Key job responsibilities
• Moving and implementing large enterprise equipment
• Installing Fiber and Copper cabling and patching cabling between equipment
• Ensuring proper safety and security standards are maintained during cabling and rack installation,
• Following well established hardware installation procedures and break-fix activities
• Safely using material handling tools and equipment
• Traveling within and outside of the regional work area is required.
Physical Requirements:
• All physical requirements are expected with reasonable accommodations:
• Regularly lift and/or move up to 40 pounds; and participate in group lifts for 41+ pounds
• Ability to work in an environment that operates 24/7 with an ability to participate in primary responder rotation and provide after-hours support as needed
• Working in cramped and/or elevated and/or noisy environments
• Bending, lifting, stretching, reaching, standing and walking for up to 8+ hours a day
• Ascending and descending ladders, stairs, and gangways safely and without limitation
This role supports data centers in various operational stages. The position may be assigned to a facility still under development, which could require travel to established locations for training until your designated site becomes fully operational.
Essential Requirements:
• Ability to travel to or commute between data center locations as needed
• Willingness to temporarily work at alternative sites during training periods or until assigned facility is operational
• Travel frequency will vary based on business needs and operational status of assigned facility
Candidates must be able to travel (over 50 miles) or commute (less than 50 miles) to active data center sites as required by business needs.
BASIC QUALIFICATIONS
- 2+ years of data center, critical environment, computer hardware repair, infrastructure cabling, network deployment, or data center operations experience, or experience in similar technical roles
- 2+ years of network cabling, fiber optics, and test equipment including VFL, power meter, and OTDR experience
- Experience with network hardware: copper and optical fiber cabling, switches, routers
PREFERRED QUALIFICATIONS
- Bachelor's degree in an IT-related field (e.g., Computer Science, Network Engineering), or experience in professional or military IT-related roles
- certification in a relevant field (CCENT - Cisco Certified Entry Networking Technician, Network+, or CCNA - Cisco Certified Network Associate)
- Experience conducting behavioral interviews and hiring
- Experience in a data center or other critical environment
- Work flexible schedule including weekends, nights, and holidays
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, NV, SPARKS - 30.00 - 54.00 USD hourly

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About Amazon

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Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US