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

Amazon

Data Center Infrastructure Delivery Manager

Sparks, NV · On-site

$170.80K/yr

... Associate) - Bachelor's degree in an IT-related field (e.g., Computer Science, Network Engineering), or experience in professional or military IT-related roles - Work a flexible schedule including ...

Abbott

Clinical Associate

Reno, NV · On-site

We're always looking towards the future, anticipating changes in medical science and technology ... Participating in clinical studies/data collection; * Troubleshooting; and, * Leading/supporting new ...

Abbott

Clinical Associate

Reno, NV · On-site

We're always looking towards the future, anticipating changes in medical science and technology ... Participating in clinical studies/data collection; * Troubleshooting; and, * Leading/supporting new ...

Montgomery & Associates

Mining Hydrogeologist

Reno, NV

$68.30K - $86.70K/yr

Associates (M amp;A) is seeking a full-time Mining Hydrogeologist to join our Reno office, where ... The role involves regular interaction with clients, project managers, early-career scientists ...

Montgomery & Associates

Mining Hydrogeologist

Reno, NV

$68.30K - $86.70K/yr

Mining Hydrogeologist Montgomery & Associates (M&A) is seeking a full-time Mining Hydrogeologist to ... The role involves regular interaction with clients, project managers, early-career scientists ...

Danaher

R&D Internships

Sparks, NV

You'll work in a collaborative environment alongside experienced scientists and contribute to real ... Supporting immunoassay development teams with experimental setup, data collection, and ...

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$57.3K

$67.8K

$128.6K

How much do data science associate jobs pay per year?

As of May 30, 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.

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.

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.

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.

Is data science dead in 10 years?

Data Science Associate roles are expected to remain relevant in the next decade as organizations continue to rely on data-driven decision making. Advances in automation and AI may change some tasks, but skills in statistical analysis, programming, and machine learning will still be valuable for interpreting complex data. Continuous learning and adapting to new tools like Python, R, and cloud platforms will be important for future success in the field.

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:
What cities near Reno, NV are hiring for Data Science Associate jobs? Cities near Reno, NV with the most Data Science Associate job openings:
Data Science Associate jobs near you
Principal Product Manager - Product Operations, Modeled Data

Principal Product Manager - Product Operations, Modeled Data

Acxiom

Carson City, NV • On-site

Full-time

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

Job description

As a Principal Product Manager for Product Operations – 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 platform‐ready, reliable, scalable, compliant, measurable, and consistently delivered across teams and portfolios. You will operate as a principal‐level individual contributor, defining and evolving operating frameworks, content and metadata standards, and execution models that enable predictable, high‐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 platform‐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 cross‐team alignment across multiple Agile teams Proactively identify and manage delivery risks, constraints, and cross‐platform dependencies , driving operational readiness for launches, changes, and deprecations Own production readiness, service reliability, and operational health , including incident learnings, post‐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 privacy‐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 enterprise‐scale data platforms spanning multiple teams and delivery environments Strong systems thinking with emphasis on repeatability, scale, and operational rigor Experience with cloud‐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

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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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