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Associate Data Scientist Jobs in Arizona (NOW HIRING)

Arete Associates

Scientist (Algorithm Developer)

Tucson, AZ · On-site

$85K - $145K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

In this position you will analyze data, evaluate existing algorithm performance, develop and ... Scientist 1: $85,000 - $105,000 [required BS degree or higher] * Scientist 2: $100,000 - $125,000 ...

Pwc

US Tech - AI Engineering Senior Associate

Phoenix, AZ · On-site

$55K - $187K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... As a Senior Associate you will analyze complex problems, mentor others, and maintain elevated ...

Arrivia

Fabric Data Engineer

Scottsdale, AZ · Hybrid

$115K - $138K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

You will partner with analysts, data scientists, and business stakeholders to turn complex ... Fabric Data Engineer Associate (DP-700) is highly preferred. * A bachelor's degree in a related ...

Arrivia

Fabric Data Engineer

Scottsdale, AZ · On-site

$115K - $138K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

You will partner with analysts, data scientists, and business stakeholders to turn complex ... Fabric Data Engineer Associate (DP-700) is highly preferred. * A bachelor's degree in a related ...

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Showing results 41-60

All JobsAssociate Data Scientist JobsAssociate Data Scientist Jobs in Arizona

Associate Data Scientist information

See Arizona salary details

$53.6K

$63.4K

$120.2K

How much do associate data scientist jobs pay per year?

As of Aug 16, 2026, the average yearly pay for associate data scientist in Arizona is $63,404.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,000.00 and $55,400.00 per year, depending on experience, location, and employer.

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

AspectAssociate Data ScientistData 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; certifications like Microsoft Excel or Tableau are common
Work EnvironmentCollaborates with data science teams, develops models, and analyzes complex datasetsPrepares reports, visualizes data, and provides insights for decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms focusing on predictive modelingCommon across various industries for business reporting and operational analysis

The Associate Data Scientist typically focuses on building models and advanced analytics, requiring programming skills and statistical knowledge. Data Analysts mainly interpret data through reports and visualizations, often with less emphasis on coding. Both roles are essential in data-driven organizations but differ in technical depth and responsibilities.

What are the key skills and qualifications needed to thrive as an associate data scientist, and why are they important?

To thrive as an Associate Data Scientist, you need strong analytical skills, a solid foundation in statistics, and proficiency in programming languages like Python or R, typically supported by a degree in a quantitative field. Experience with data visualization tools (e.g., Tableau), machine learning libraries (e.g., scikit-learn), and database systems (e.g., SQL) is often required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating data insights into actionable business solutions. These skills and qualities are essential for extracting valuable insights from complex data and driving data-informed decision-making within organizations.

What does an associate data scientist do?

An Associate Data Scientist supports data-driven decision-making by collecting, cleaning, and analyzing large datasets. They use statistical methods and programming languages like Python or R to identify trends, build predictive models, and generate insights for business problems. Working under the guidance of more experienced data scientists, they also help visualize data and communicate findings to technical and non-technical stakeholders. This entry-level role often involves learning new tools and techniques while contributing to real-world projects.

What are some typical projects an associate data scientist might work on, and how do they collaborate with other team members?

As an Associate Data Scientist, you can expect to contribute to a range of projects such as developing predictive models, analyzing large datasets to uncover business insights, and supporting the deployment of machine learning solutions. Collaboration is key; you'll often work closely with data engineers to prepare and process data, as well as with business analysts and product managers to align your findings with organizational goals. Regular meetings, code reviews, and knowledge-sharing sessions are common, providing opportunities to learn from senior data scientists and broaden your technical skills.

What does an associate data scientist do?

The duties of an associate data scientist are to analyze statistical data analysis on large sets and identify trends by using advanced mathematical and computer science skills. Their responsibilities often include assisting in the production of statistical models, tools, and processes. They typically are in the process of pursuing a master’s degree and report to a senior data scientist. The qualifications you need are a bachelor’s degree in statistics, computer science, or a related field as well as experience working with machine-learning and data mining algorithms.

What can I do with an associate data scientist?

An associate data scientist analyzes data to identify patterns, build models, and support decision-making using tools like Python, R, or SQL. This role often involves collaborating with teams, developing predictive models, and gaining experience to advance to more senior data science positions.
More about Associate Data Scientist jobs

What are the most commonly searched types of Data Scientist jobs in Arizona?

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For Associate Data Scientist jobs in Arizona, the most frequently searched job titles are:

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Associate Data Scientist jobs near you
Infographic showing various Associate Data Scientist job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, and 5% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $63,404 per year, or $30.5 per hour.

Senior Manager / Associate Director - Data Governance

Tiger Analytics Inc.

Phoenix, AZ • On-site

Full-time

Posted 29 days ago

Job description

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

We are looking for a Senior Manager / Associate Director to lead delivery workstreams within a large-scale enterprise Data Governance, Architecture & Controls Program.

Responsibilities:

  • Lead pods focused on data lineage documentation (consumption through ADS to system of origin), target-state ADS landscape and architecture design, and aggregation layer controls including DQ rules, variance analysis, and anomaly detection.
  • Shape the data modeling and architecture decisions that underpin the target-state ADS landscape, working with enterprise architecture to evolve domain and subdomain taxonomy.
  • Conduct SME interviews across engineering and business data offices, translate enterprise data management policy into actionable delivery and build plans, and manage a small team of analysts through design and implementation.
  • Operate as the bridge between engineering, enterprise architecture, and data office stakeholders, and present findings and recommendations directly to senior client leadership.
  • Define and standardize repeatable playbooks, templates, and execution frameworks for data lineage harvesting and Authoritative Data Source (ADS) onboarding to ensure consistency across multiple pods.
  • Collaborate with Enterprise Architecture and Tooling teams to evaluate, select, and drive the adoption of data governance and lineage platforms.
  • Establish, monitor, and report on key performance indicators (KPIs) and operational metrics reflecting the progress of lineage coverage, ADS compliance, and data quality improvement to senior stakeholders.

Requirements

    • 8+ years in Data Management, Data Governance, or Data Architecture, ideally in financial services.
    • Strong grounding in data modeling and data architecture — conceptual/logical modeling, domain-driven design, and Analytical Data Store (ADS) patterns.
    • Hands-on experience with data lineage (fine- and coarse-grained), data quality frameworks, and the design and implementation of data controls.
    • Ability to interpret and operationalize enterprise data management policy.
    • Familiarity with cloud data platforms (GCP preferred) sufficient to plan, scope, and oversee build and deployment work.
    • Strong executive presence — comfortable leading SME interviews and presenting to VP+ stakeholders.
    • Proven ability to work across engineering, architecture, and business teams as a connector and translator.

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.