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Associate Data Science Analyst Jobs in Arizona (NOW HIRING)

The position requires advanced expertise in data science, artificial intelligence, and machine learning to develop, apply, and interpret analytical pipelines that integrate multi-modal clinical ...

Data Scientist II

Tempe, AZ · Hybrid

$131K - $172K/yr

Deliver high-quality analytical and modeling outputs with limited manager oversight * Collaborate closely with data science peers and cross-functional partners across business units * Help ensure ...

Sr. Manager AI & Data Science We are seeking a visionary and technically strong Senior Manager of ... Data analysis skills. Ability to analyze complex data and turn it into actionable information

Data Scientist

Phoenix, AZ · On-site

$136K - $164K/yr

... science project lifecycle - data mining and exploration, model development and evaluation, production deployment, measurement, and tracking * Perform time-series analyses, hypothesis testing, and ...

Experience: 10+ years of experience in data science, machine learning, healthcare analytics, AI ... Azure AI Engineer Associate, Azure Data Scientist Associate, Azure Solutions Architect Expert, or ...

Data Scientist

Chandler, AZ · On-site

$140 - $190/hr

Proficiency in Python and common data science libraries/frameworks. * Experience with cloud platforms and modern AI/ML toolsets. * Strong analytical, problem‑solving, and communication skills.

Data analysis skills. Ability to analyze complex data and turn it into actionable information ... Oversee data science project lifecycles, from ideation to production, ensuring alignment with ...

Time Series Analysis * Experience with ML Ops practices and deploying machine learning models into production. * Proficiency in Python and common data science libraries/frameworks. * Experience with ...

Establish and leverage a network of associates with business domain and data expertise * Instill a ... an analytical or engineering field such as statistics, computer science, mathematics, nature ...

Data Scientist

Chandler, AZ · On-site

$90 - $120/hr

Time Series Analysis * Experience with ML Ops practices and deploying machine learning models into production. * Proficiency in Python and common data science libraries/frameworks. * Experience with ...

Proficiency in Python and common data science libraries/frameworks. Experience with cloud platforms and modern AI/ML toolsets. Strong analytical, problem-solving, and communication skills. Preferred ...

Showing results 41-60

Associate Data Science Analyst information

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

AspectAssociate Data Science AnalystData Analyst
Required CredentialsBachelor's degree in data-related field; some roles prefer certifications in data analysis or programmingBachelor's degree in statistics, mathematics, or related field; certifications like Microsoft Excel or SQL are common
Work EnvironmentCollaborates with data scientists and engineers; involved in data modeling and analysis tasksFocuses on data collection, cleaning, and reporting; often works with business teams
Employer & Industry UsageUsed in tech, finance, healthcare industries; entry-level role in data teamsWidely used across industries for business insights and reporting

The Associate Data Science Analyst and Data Analyst roles share similarities in educational background and industry usage. However, the Associate Data Science Analyst typically involves more technical tasks like data modeling and working closely with data science teams, whereas Data Analysts focus more on data reporting and business insights. Both roles serve as entry points into data careers but differ in technical depth and collaboration scope.

What types of projects and datasets do associate data science analysts typically work with, and how do they contribute to larger team goals?

Associate Data Science Analysts often work on projects involving data cleaning, exploratory analysis, and basic model development using real-world datasets such as sales figures, customer behavior logs, or operational metrics. Their primary responsibility is to prepare, analyze, and visualize data to uncover insights that support business decisions. They collaborate closely with more senior data scientists, business analysts, and stakeholders to ensure that their analyses align with organizational objectives. This role provides valuable exposure to the end-to-end data science workflow and lays the foundation for advancement into more specialized or senior data science positions.

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

To thrive as an Associate Data Science Analyst, you need a solid grounding in statistics, data analysis, and programming languages such as Python or R, typically supported by a degree in a quantitative field. Familiarity with data visualization tools like Tableau, SQL databases, and potentially foundational certifications in data analytics are commonly required. Strong problem-solving, critical thinking, and effective communication skills help analysts interpret data insights and convey findings to stakeholders. These competencies are crucial for transforming raw data into actionable business intelligence and supporting data-driven decision-making.

What does an associate data science analyst do?

An Associate Data Science Analyst is an entry-level professional who assists in collecting, analyzing, and interpreting data to help organizations make data-driven decisions. They work closely with senior data scientists and analysts, using statistical tools and programming languages like Python or R to process data, create reports, and visualize results. Their responsibilities often include cleaning and organizing data sets, performing exploratory data analysis, and supporting the development of predictive models. This role is a great way to gain hands-on experience in data science while building foundational skills for more advanced positions.
What are the most commonly searched types of Data Science Analyst jobs in Arizona? The most popular types of Data Science Analyst jobs in Arizona are:

TEM Scientist - Automation & Data Workflows

Eurofins USA Material Sciences

Phoenix, AZ • On-site

Full-time

Retirement

Posted 9 days ago


Job description

Company Description

Eurofins EAG Laboratories has over 40 years experience in engineering and materials testing services. Our parent company, Eurofins Scientific, is a multi-billion-dollar global leader in engineering and scientific services with a portfolio of over 200,000 validated analytical methods. 

At EAG, curiosity fuels everything we do. Every analysis, every test, and every question asked in our labs helps unlock what materials and products are capable of—and what the world can build next. If you’re energized by materials science, analytical chemistry, engineering rigor, and solving problems that matter, you’ll feel right at home here.

Our scientists and engineers support industries ranging from semiconductors and advanced electronics to pharmaceuticals, medical devices, energy systems, and consumer products. Using advanced techniques in analytical chemistry, microscopy, surface analysis, and engineering sciences, we help clients solve complex challenges across the product lifecycle.

What sets EAG apart isn’t just our world‑class instrumentation—it’s our people. We’re problem solvers, collaborators, and lifelong learners who value precision, curiosity, and impact. Here, your work directly influences the safety, reliability, and performance of products used around the globe.

Imagine the possibilities. Let’s explore them together

Job Description

Phoenix, AZ | Weekend Shift Eligible

Eurofins EAG Laboratories is seeking a hands-on Transmission Electron Microscopy (TEM) Scientist who also has strong experience building automation, scripting, or data workflows for microscopy data.

This is a specialized, hybrid role combining advanced TEM operation and applied automation/data science in a production laboratory environment.

This role requires both:

  • Hands-on experience operating TEM/STEM systems for materials characterization
  • AND hands-on experience building or implementing automation, scripting, or data workflows (e.g., Python, DigitalMicrograph, ImageJ, or similar tools)

Candidates with experience in only one of these areas will not be considered.

The Scientist will collaborate closely with engineers, scientists, and operations teams to translate laboratory requirements into practical, scalable automation solutions and data workflows.

This role is centered on materials science applications within an analytical laboratory setting. The position requires experience aligned with materials characterization and non-biological systems, which are most relevant to the work performed. Responsibilities include a combination of hands-on laboratory execution and applied programming, rather than work that is solely research- or theory-based.

Work is conducted in a client-driven analytical services environment, requiring solutions that are practical, scalable, and reproducible.

    What You’ll Do

    • Design, build, and implement automation workflows directly on S/TEM systems (data acquisition, instrument control, and workflow scripting)
    • Develop and maintain automated pipelines for TEM data collection and analysis
    • Perform image processing (segmentation, enhancement, measurement, visualization) on 2D and 3D datasets
    • Apply computer vision, statistics, and machine learning to microscopy and analytical data
    • Work with multi-modal materials characterization data (TEM, SEM, EDS, XRD, XPS, RBS, etc.)
    • Improve throughput, repeatability, and data quality of TEM-based services
    • Build tools for data processing, feature extraction, and exploratory analysis
    • Partner with lab teams to translate real-world analytical problems into automated solutions
    • Support S/TEM operation and data collection, including EDS/EELS where needed
    • Contribute to new TEM capabilities (e.g., 4D STEM, advanced imaging workflows)

    What Success Looks Like (First 6–12 Months)

    • Implement or improve automation workflows used in production TEM work
    • Reduce manual intervention in data collection and analysis
    • Increase throughput and consistency of TEM services
    • Build usable tools and pipelines that lab teams adopt

          Work Schedule

          • Wednesday–Sunday or Saturday–Wednesday
          • Weekend shift differential applies

          Compliance Requirement (ITAR)

          This position supports work related to defense applications and is subject to ITAR regulations.

          Applicants must be U.S. Persons, defined as:

          • U.S. Citizen
          • U.S. Permanent Resident (Green Card holder)
          • Political Asylee or Refugee
            Qualifications

            Required Qualifications:

            • MS or PhD in Materials Science, Physics, Engineering, or related field
            • Hands-on S/TEM experience, including real-world data collection
            • Experience developing or implementing automation for TEM or similar instrumentation
              • (e.g., scripting acquisition, using vendor APIs, workflow automation)
            • Strong Python programming skills
              • Ability to build analysis tools, not just basic scripts
            • Experience applying data science, statistics, or computer vision to experimental data
            • Experience working with materials-focused systems (e.g., semiconductors, metals, ceramics, failure analysis)
            • Experience with EDS (not just exposure to EELS)
            • Ability to work in a fast-paced, production lab environment

            Preferred Qualifications:

            • Experience with machine learning applied to imaging or scientific datasets
            • Familiarity with deep learning frameworks (PyTorch, TensorFlow)
            • Experience with TEM automation frameworks or vendor APIs
            • Experience with large-scale or high-throughput data pipelines
            • Exposure to 4D STEM or advanced TEM techniques
            • Experience working with multi-modal data (image, spectral, time-series)

            Physical Requirements:

            • Ability to continuously operate a personal computer or lab equipment for extended periods of time (4 or more hours).
            • Ability to operate a keyboard and other lab equipment, use a telephone, access file cabinets and other items stored at various levels, including overhead.   
            • Must be able to remain in a stationary position 80% of the time. 
            • Ability to communicate clearly and understandably ensure an accurate exchange of information in normal conversational distance, over the telephone, and in a group setting.
            • Ability to handle small and fragile devices with tweezers and /or fingers.
            • Require close distance visual acuity with or without correction (Glasses, Contacts, etc.)
            • Must be willing and able to wear PPE such as hard-hat, steel-toed shoes, safety glasses, laboratory coat and/or any other devices or equipment that is required. 
            • Learn new tasks, remember processes, maintain focus, complete tasks independently, make timely decisions in the context of a workflow, ability to communicate with visitors, ability to complete tasks in situations that have a speed or productivity quota. 
            • Ability to move equipment or items up to 50 lbs. 

            The essential physical and mental requirements described here are representative of those that must be met by an employee to successfully perform the essential functions of the job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.   


            Additional Information

            Compensation is aligned with market standards for the region and tailored to individual qualifications and experience.

            Why Join Us? 

            At EAG Laboratories, we value innovation, collaboration, and professional growth. You will have the opportunity to work with a team of experts in a dynamic and supportive environment. We offer competitive compensation, comprehensive benefits, and opportunities for career advancement.

            What It’s Like to Work Here:

            • Teamwork: Be inspired by your leaders, be encouraged by your teammates and be supported in all parts of your journey while you work with us.
            • Learning & Development: Take on career development programs and goal setting to create big possibilities for your career and life. Develop within the company; be mentored and grown as a leader.
            • Diversity & Authenticity: We work hard to embrace diversity and inclusion and encourage everyone to bring their authentic selves to work every day.

            Benefits & Perks to Foster Work/Life Balance:

            ✓ 401k Company Matching

            ✓ Wellness Program

            ✓ Volunteer Time off

            ✓ Education Assistance

            ✓ Fitness Reimbursement

            ✓ …and more!

            Eurofins EAG Laboratories is committed to promoting an equal employment opportunity workplace environment and is an equal opportunity employer. It is the policy of the Company that all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, citizenship, pregnancy, genetic information (GINA), disability, military and/or veteran status, and/or any other status protected by applicable Federal, state, or local law.  The Company’s policy is to recruit, hire, train, promote and administer all employment-related matters based on an individual's qualifications, abilities and efforts without regard to protected status. 

            Eurofins USA Material Sciences is a Disabled and Veteran Equal Employment Opportunity employer.