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Ml Data Associate Jobs in Arizona (NOW HIRING)

Master Electronics

Data Scientist II

Phoenix, AZ · On-site

Translate business problems into ML solutions; build models for prediction, classification, or ... Databricks certifications (e.g., Machine Learning Associate/Professional) * Knowledge of model ...

Master Electronics

Data Scientist II

Phoenix, AZ

Translate business problems into ML solutions; build models for prediction, classification, or ... Databricks certifications (e.g., Machine Learning Associate/Professional) * Knowledge of model ...

Master Electronics

Data Scientist II

Phoenix, AZ

Translate business problems into ML solutions; build models for prediction, classification, or ... Databricks certifications (e.g., Machine Learning Associate/Professional) * Knowledge of model ...

State Farm

Lead Data Scientist - Gen AI

Tempe, AZ

Establish and leverage a network of associates with business domain and data expertise * Instill a business-oriented mindset that delivers business outcomes for State Farm's AI/ML portfolio * Assess ...

Deloitte

Forward Deployed Engineer- AWS

Tempe, AZ

Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science ... AWS Certified Cloud Practitioner, AWS Certified Solutions Architect (Associate), AWS Certified AI ...

Deloitte

Lead Forward Deployed Engineer - AWS

Tempe, AZ

$98K - $129K/yr

Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science ... AWS Certified Cloud Practitioner, AWS Certified Solutions Architect (Associate), AWS Certified AI ...

Deloitte

Senior Forward Deployed Engineer- AWS

Tempe, AZ

$100K - $137K/yr

Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science ... AWS Certified Cloud Practitioner, AWS Certified Solutions Architect (Associate), AWS Certified AI ...

Stanley David and Associates

Data Analyst

Phoenix, AZ · On-site

... AI/ML Fundamentals The Role As a Data Analyst / Data Management & Governance Professional with Emerging AI Experience, you will play a key role in analyzing, managing, and governing financial data ...

Pwc

Data Strategy-Manager

Phoenix, AZ

$99K - $232K/yr

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML - Proven leadership in data-driven strategies - Experience in ...

Pwc

Data Governance- Manager

Phoenix, AZ · On-site

$99K - $232K/yr

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML Travel Requirements Up to 80% Job Posting End Date The salary ...

Pwc

Data Strategy & Governance -Director

Phoenix, AZ · On-site

$155K - $410K/yr

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer/Data Analyst/ML - Proven leadership in data-driven strategies - Demonstrating ...

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All JobsMl Data Associate JobsMl Data Associate Jobs in Arizona

Ml Data Associate information

See Arizona salary details

$53.6K

$63.4K

$120.2K

How much do ml data associate jobs pay per year?

As of Aug 28, 2026, the average yearly pay for ml data associate 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 an ml data associate?

ML Data Associates are professionals who support machine learning projects by preparing, labeling, and validating data used to train and evaluate algorithms. They often work with large datasets, ensuring data quality and accuracy, and may use specialized tools to annotate images, text, or audio. Their work is essential for enabling machine learning models to learn from high-quality, well-structured data, and they often collaborate with data scientists and engineers to optimize data pipelines.

What are the key skills and qualifications needed to thrive as an ml data associate?

To thrive as an ML Data Associate, you need strong analytical skills, attention to detail, and a solid understanding of data annotation or labeling, often supported by a degree in a technical field. Familiarity with data labeling tools, basic programming (such as Python), and experience working with machine learning platforms are typically required. Excellent communication, problem-solving abilities, and the capacity to work efficiently in teams are important soft skills. These skills ensure high-quality, accurately labeled datasets that are essential for training effective machine learning models.

What are some common challenges faced by ml data associates when labeling complex datasets, and how can they be effectively addressed?

ML Data Associates often encounter challenges with ambiguous data, inconsistent labeling guidelines, or rapidly evolving project requirements. To address these, it's important to maintain open communication with data scientists and project leads, ask clarifying questions, and participate in regular calibration sessions to ensure consistency. Utilizing annotation tools efficiently and staying up-to-date with best practices can also help manage complexity and improve label quality. Collaboration and feedback within the team are key to overcoming these challenges and ensuring high-quality datasets.

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

AspectML Data AssociateData Analyst
Required CredentialsTypically a degree in computer science, data science, or related field; familiarity with machine learning conceptsUsually a degree in statistics, mathematics, or business analytics; strong Excel and data visualization skills
Work EnvironmentTech companies, AI startups, or organizations focusing on machine learning projectsBusiness, finance, marketing, and consulting firms analyzing data for insights
Employer & Industry UsageUsed in industries developing AI models, machine learning pipelines, and data infrastructureCommon across industries for reporting, trend analysis, and strategic decision-making

While both roles involve working with data, ML Data Associates focus on preparing and managing data specifically for machine learning models, whereas Data Analysts interpret data to generate business insights. The roles overlap in data handling skills but differ in their end goals and technical focus.

How do I become an ML Data Associate?

To become an ML Data Associate, candidates typically need a high school diploma or equivalent, along with strong attention to detail and organizational skills. Familiarity with data management tools, basic understanding of machine learning concepts, and experience with data annotation or labeling are often required. Some roles may also require knowledge of programming languages like Python or experience with data annotation platforms.

What skills do you need for a machine learning data associate job?

A machine learning data associate needs strong analytical skills, attention to detail, and proficiency in data management tools like Excel, SQL, or Python. Knowledge of data cleaning, labeling, and basic understanding of machine learning concepts are also important for the role.

What are popular job titles related to Ml Data Associate jobs in Arizona?

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

What job categories do people searching Ml Data Associate jobs in Arizona look for?

The top searched job categories for Ml Data Associate jobs in Arizona are:

What cities in Arizona are hiring for Ml Data Associate jobs?

Cities in Arizona with the most Ml Data Associate job openings:

Ml Data Associate jobs near you
Infographic showing various Ml Data Associate job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 10% Part Time, 2% Temporary, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $63,404 per year, or $30.5 per hour.

Data Scientist II

Phoenix, AZ • On-site

Master Electronics
Electrical Equipment, Appliance, and Component Manufacturing • 201 - 500 employees
Learn more about Master Electronicsexternal

Full-time

Medical, Life, Retirement, PTO

Re-posted 21 days ago

Job description

To be a family that uses our collective superpowers to do significant good.
Master Electronics has an exciting career opportunity for a Data Scientist.
As a Data Scientist, you'll be a key contributor in designing, building, and evaluating data-driven decision systems, with a strong emphasis on pricing optimization, experimentation (A/B testing), and causal analysis that directly influence product and business outcomes.
What you will do?
  • Design, build, and refine pricing and optimization models, including dynamic pricing, price elasticity estimation, margin optimization, and demand forecasting, that directly drive revenue and profitability decisions
  • Own the experimentation lifecycle: design and run A/B and multivariate tests, define success metrics and guardrails, determine sample sizes and test duration, analyze results with statistical rigor, and communicate causal impact to stakeholders
  • Apply causal inference techniques (uplift modeling, difference-in-differences, synthetic controls, instrumental variables) where randomized experiments aren't feasible
  • Translate business problems into ML solutions; build models for prediction, classification, or recommendation; implement feature engineering, model training, hyperparameter tuning, evaluation, and deployment
  • Develop scalable data pipelines on Databricks; integrate experimentation and ML systems with modern data and MLOps platforms (Databricks, MLflow); establish CI/CD pipelines, version control, testing, and monitoring to ensure model quality and reliability
  • Partner with software engineers, data engineers, product managers, and subject-matter experts; present insights and recommendations to technical and non-technical stakeholders; translate complex analyses into clear narratives
  • Research and apply emerging ML techniques; contribute to improving team standards and mentoring junior team members

What you bring to the table!
  • 3-5 years of professional experience as a data scientist or ML engineer, with a proven record of building and deploying ML models in production
  • Hands-on experience with pricing, revenue, or marketing optimization, such as price elasticity modeling, dynamic pricing, promotion optimization, or mathematical optimization methods
  • Demonstrated expertise in A/B testing and experimentation: hypothesis design, power analysis, sequential testing, guardrail metrics, and interpreting results under real-world constraints (novelty effects, interference, heterogeneous treatment effects)
    Hands-on Databricks experience for building and deploying data science workloads at scale
  • Master's degree in Computer Science, Statistics, Mathematics, Engineering, Operations Research, or a related quantitative fi eld, or a Bachelor's degree with 5+ years of equivalent professional experience
  • Strong programming skills in Python (plus experience in JavaScript), with proficiency in ML libraries (scikit-learn, PyTorch), data manipulation (pandas, SQL), and statistical analysis
  • Solid grounding in statistics: hypothesis testing, confidence intervals, regression, and Bayesian methods
  • Knowledge of MLOps tools and cloud platforms, especially Databricks (Spark, MLfl ow), AWS (S3,Redshift, SageMaker), or similar services
  • Excellent communication skills; ability to explain complex technical concepts to both technical and business audiences and to collaborate effectively across teams
  • Demonstrated ability to work independently on complex problems, manage multiple projects simultaneously, and deliver results in a fast-paced environment
    Preferred Qualifications
  • Advanced degree (Master's or PhD) in a relevant field (Statistics, Machine Learning, AI, Operations Research, Economics/Econometrics, etc.)
  • Experience with B2B or ecommerce pricing, such as quote optimization, contract pricing, or price-list management in a distribution or catalog business
  • Familiarity with experimentation platforms (in-house or commercial, e.g., Optimizely, Statsig, GrowthBook)and metric frameworks
  • Exposure to industry-specific domains such as ecommerce, marketing analytics, risk/fraud, supply chain, or logistics
  • Fluency with big data frameworks (Spark, Hadoop), streaming systems, and container/orchestration tools(Docker, Kubernetes)
  • Databricks certifications (e.g., Machine Learning Associate/Professional)
  • Knowledge of model explainability, interpretability techniques, and responsible AI

Why do you want to work with us?
Stay Healthy: World-class and affordable insurance plans ensure you and your family stay healthy
Secure Your Future: 401(k) match programwhere you are vested from day-one
Invest in Your Education: Tuition assistanceempowers you to further your education and career
Employee Assistance Program (EAP) and other incentives: Access to Perspectives, Healthcare Advocate, Working Advantage Discount Program, and more
Enjoy Work-Life-Harmony: Paid holidays, PTO accrual, Floating Holiday, and supportive personal and parental leave policies
Do Significant Good: Company-sponsored donation match 3 for 1, Volunteer Time Off (VTO) to give back to the community, and Employee Resource Groups
Provide Additional Financial Security: Company-funded and voluntary AD&D Life Insurance for you and your loved ones
If you want to learn more about our comprehensive benefits, visit: https://careers.masterelectronics.com/benefits-wellness
Equal Opportunity Employer
At Master Electronics, we thrive in a fast-paced, entrepreneurial environment where flexibility, professionalism, and a self-starter mindset aren't just preferred-they're essential. Headquartered in sunny Phoenix, AZ, we're a leading global authorized distributor of electronic components, and have been proudly family-owned for over 50 years.
What's our secret? It's simple: strong relationships, responsive service, and genuine added value. These principles have fueled our growth, allowing us to serve hundreds of thousands of customers in close partnership with world-class suppliers across the globe.
We're also deeply committed to building a workplace where everyone feels respected, supported, and empowered to succeed. Master Electronics is committed to providing equal employment opportunities for all applicants and employees. We do not unlawfully discriminate based on race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability, veteran status, marital status, creed, or any other protected characteristic.
We provide reasonable accommodations in compliance with the ADA and other applicable laws, and we strictly prohibit harassment of any kind.
This commitment applies to every part of our workplace-from recruitment and hiring to promotions, training, compensation, benefits, and even company events.

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