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Data Science Associate Jobs in Tempe, AZ (NOW HIRING)

Shamrock

Data Science Analyst

Phoenix, AZ · On-site

The Data Science Analyst is responsible for using data science, machine learning, statistical ... At Shamrock Foods Company, people come first - our associates, our customers, and the families we ...

State Farm

Data Scientist

Tempe, AZ · Hybrid

Establish and leverage a network of associates with business domain and data expertise * Instill a business-oriented mindset that drives the data science & research agenda * Build and maintain a ...

State Farm

Lead Data Scientist - Gen AI

Tempe, AZ · On-site

Data Science at State Farm: As a Data Scientist at State Farm, you will serve as a subject matter ... Establish and leverage a network of associates with business domain and data expertise * Instill a ...

Amgen

Sr. Data Scientist - Process Modeling

Phoenix, AZ · On-site

Doctorate degree OR Master's degree and 2 years of Data Science or Engineering experience OR Bachelor's degree and 4 years of Data Science or Engineering experience OR Associate's degree and 8 years ...

HDR

Data Scientist I

Phoenix, AZ · On-site

... Associate or Bachelor's degree Qualifications Required Qualifications * A degree in a closely ... Proficiency with data science languages such as Python and R * Ability to handle confidential ...

HDR

Data Scientist I

Phoenix, AZ · On-site

... Associate or Bachelor's degree Required Qualifications * A degree in a closely related field or ... Proficiency with data science languages such as Python and R * Ability to handle confidential ...

Master Electronics

Data Scientist II

Phoenix, AZ · On-site

Master's degree in Computer Science, Statistics, Mathematics, Engineering, Operations Research, or ... Databricks certifications (e.g., Machine Learning Associate/Professional) * Knowledge of model ...

Master Electronics

Data Scientist II

Phoenix, AZ · On-site

Master's degree in Computer Science, Statistics, Mathematics, Engineering, Operations Research, or ... Databricks certifications (e.g., Machine Learning Associate/Professional) * Knowledge of model ...

Master Electronics

Data Scientist II

Phoenix, AZ · On-site

Master's degree in Computer Science, Statistics, Mathematics, Engineering, Operations Research, or ... Databricks certifications (e.g., Machine Learning Associate/Professional) * Knowledge of model ...

SynergisticIT

Entry Level Big Data Engineer

Phoenix, AZ · On-site

$55.25 - $73.25/hr

... Associate or Bachelors degree or Masters degree in Computer Science, Computer Engineering ... Data Analyst/AI/Machine Learning Positions Preferred SKILLS Associate or Bachelors degree or ...

SynergisticIT

Entry Level Big Data Engineer

Phoenix, AZ · On-site

$55.25 - $73.25/hr

... Associate or Bachelors degree or Masters degree in Computer Science, Computer Engineering ... Data Analyst/AI/Machine Learning Positions Preferred SKILLS Associate or Bachelors degree or ...

Shamrock

Operations Data Analyst

Phoenix, AZ · On-site

Bachelor's degree in data science, Data Analytics, Engineering or related area. * 3-5 years of ... At Shamrock Foods Company, people come first - our associates, our customers, and the families we ...

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All JobsData Science Associate JobsData Science Associate Jobs in Tempe, AZ

Data Science Associate information

See Tempe, AZ salary details

$55.1K

$65.2K

$123.6K

How much do data science associate jobs pay per year?

As of Sep 1, 2026, the average yearly pay for data science associate in Tempe, AZ is $65,166.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,500.00 and $57,000.00 per year, depending on experience, location, and employer.

What is a data science associate?

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 are the key skills and qualifications needed to thrive as a data science associate?

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 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 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 advance into more specialized roles.

What are the most commonly searched types of Data Science jobs in Tempe, AZ?

The most popular types of Data Science jobs in Tempe, AZ are:

What job categories do people searching Data Science Associate jobs in Tempe, AZ look for?

The top searched job categories for Data Science Associate jobs in Tempe, AZ are:

Data Science Associate jobs near you
Infographic showing various Data Science Associate job openings in Tempe, AZ as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $65,166 per year, or $31.3 per hour.

Data Science Analyst

Shamrock

Phoenix, AZ • On-site

Full-time

Medical, Retirement, PTO

Re-posted 5 days ago

Job description

The Data Science Analyst is responsible for using data science, machine learning, statistical modeling, and advanced analytics to solve complex business problems across Supply Chain and Operations. This role works at the intersection of data, technology, and business operations to develop predictive insights, analytical models, and decision-support tools that improve planning, efficiency, cost management, and service performance.
The Data Science Analyst partners with business leaders, operations teams, IT, data engineering, and analytics stakeholders to identify high-value use cases, build and test analytical models, and translate technical outputs into actionable business recommendations. This role is well suited for a candidate who has strong technical skills but also enjoys applying those skills to practical operational challenges.
Essential Duties:
  • Develop, test, and validate predictive models and machine learning solutions for Supply Chain and Operations use cases.
  • Apply statistical modeling, forecasting, classification, regression, clustering, optimization, and other data science techniques to solve business problems.
  • Support use cases such as demand forecasting, labor forecasting, inventory risk, transportation optimization, order volume prediction, customer behavior trends, productivity analysis, and operational exception detection.
  • Develop and deploy anomaly detection models to identify operational exceptions, service disruptions, inventory irregularities, equipment failures, process deviations, and emerging business risks before they impact performance.
  • Support transportation and logistics optimization initiatives by applying advanced analytics and machine learning techniques to improve route efficiency, reduce fuel consumption, optimize network flows, and enhance service performance.
  • Clean, transform, structure, and analyze large datasets from multiple business systems.
  • Perform exploratory data analysis to identify relationships, trends, anomalies, and improvement opportunities.
  • Collaborate with business stakeholders to understand operational processes, pain points, and decision-making needs.
  • Translate business problems into data science questions, analytical methods, and measurable outcomes.
  • Evaluate model accuracy, performance, stability, and business value.
  • Partners with data engineering and IT teams to access, prepare, and improve data sources needed for modeling and analysis.
  • Create dashboards, visualizations, and presentations to communicate model outputs and recommendations.
  • Document model logic, assumptions, data sources, limitations, and business applications.
  • Support the deployment, monitoring, and ongoing refinement of analytical and machine learning solutions.
  • Stay current on data science, machine learning, AI, and analytics methods that may benefit the business.
  • Other duties as assigned.

Qualifications:
  • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Business Analytics, Economics, Operations Research, Supply Chain, or a related field required.
  • Master's degree in Data Science, Analytics, Statistics, Operations Research, Computer Science, Industrial Engineering, or related discipline preferred.
  • 2-5 years of experience in data science, analytics, statistical modeling, machine learning, business intelligence, or related analytical roles.
  • Experience applying data science methods to real-world business or operational problems.
  • Experience building predictive models, forecasts, or machine learning prototypes preferred.
  • Proficiency in Python, R, SQL, or similar analytical programming languages.
  • Familiarity with machine learning libraries and methods such as scikit-learn, pandas, NumPy, regression models, classification models, clustering, time series forecasting, or optimization techniques.
  • Strong understanding of statistics, probability, data modeling, feature engineering, and model evaluation.
  • Ability to work with structured and unstructured data from multiple systems.
  • Experience with Power BI, Tableau, Databricks, Azure Machine Learning, Snowflake, or similar platforms preferred.
  • Ability to explain technical concepts to non-technical business stakeholders.
  • Strong problem-solving, critical thinking, and analytical reasoning skills.
  • Strong communication and data storytelling skills.
  • Ability to balance technical depth with practical business applications.
  • Strong attention to detail, data quality, and model reliability.
  • Must be flexible and willing to work the demands of the department which is generally limited to weekdays but may be subject to evenings or weekends due to project or department needs.

Corporate Summary:
At Shamrock Foods Company, people come first - our associates, our customers, and the families we serve across the nation. A privately-held, family-owned and -operated Forbes 500 company, Shamrock is an innovator in the food industry and has been since being founded in Arizona in 1922.
Our Mission: At Shamrock Foods Company, we live by our founding family's motto to "treat associates like family and customers like friends."
Why work for us?
Benefits are a major part of your overall compensation, and we believe offering them at an affordable cost is not only the right thing to do, but it helps keep you and your family healthy. That's why Shamrock Foods pays for the majority of your health insurance, allowing you to take home more of your paycheck. And it doesn't stop there - our associates also enjoy additional benefits such as 401(k) Savings Plan, Profit Sharing, Paid Time Off, as well as our incredible growth opportunities, continued education, and wellness programs.
Equal Opportunity Employer
At Shamrock Foods Co all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status, sexual orientation, gender identity or any other basis protected by applicable law.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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