Data Scientist II
Master Electronics, Phoenix, AZ, United States
Master Electronics has an exciting career opportunity for a Data Scientist II.
As a Data Scientist, you’ll be a key contributor in designing, building, and evaluating data-driven decision systems, with a strong emphasis on experimentation, causal analysis, and AI/LLM-powered applications that directly influence product and business outcomes. This mid-level position sits between our senior scientists and junior analysts, ideal for someone with experience in owning experiments end-to-end, shipping decision-support systems, and productionizing LLM and agent-based workflows.
Key Responsibilities
Translate business problems into ML solutions; build models for prediction, classification or recommendation; implement feature engineering, model training, hyperparameter tuning, evaluation and deployment.
Design and productionize AI and generative-AI solutions, including prompt engineering, retrieval-augmented generation, and multi-agent orchestration.
Create intelligent agents or tool-using workflows that automate decisions and enhance customer experiences.
Develop scalable data pipelines; integrate experimentation and AI systems with modern data and MLOps platforms (e.g., 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 AI/ML techniques (generative AI, deep learning, agentic systems); contribute to improving team standards and mentoring junior team members.
Required Qualifications
3-5 years of professional experience as a data scientist or ML engineer; proven record of building and deploying ML models in production.
Master’s degree in computer science, Statistics, Mathematics, Engineering, Operations Research or a related quantitative field, 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.
Hands-on experience with large language models (LLMs), generative AI, agentic systems, or AI-based product features.
Knowledge of MLOps tools and cloud platforms, especially Databricks (Spark, MLflow), 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, etc.).
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).
Knowledge of model explainability, interpretability techniques and responsible AI.
Benefits
Stay Healthy: World-class and affordable insurance plans ensure you and your family stay healthy.
Secure Your Future: 401(k) match program where you are vested from day‑one.
Invest in Your Education: Tuition assistance empowers 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
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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As a Data Scientist, you’ll be a key contributor in designing, building, and evaluating data-driven decision systems, with a strong emphasis on experimentation, causal analysis, and AI/LLM-powered applications that directly influence product and business outcomes. This mid-level position sits between our senior scientists and junior analysts, ideal for someone with experience in owning experiments end-to-end, shipping decision-support systems, and productionizing LLM and agent-based workflows.
Key Responsibilities
Translate business problems into ML solutions; build models for prediction, classification or recommendation; implement feature engineering, model training, hyperparameter tuning, evaluation and deployment.
Design and productionize AI and generative-AI solutions, including prompt engineering, retrieval-augmented generation, and multi-agent orchestration.
Create intelligent agents or tool-using workflows that automate decisions and enhance customer experiences.
Develop scalable data pipelines; integrate experimentation and AI systems with modern data and MLOps platforms (e.g., 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 AI/ML techniques (generative AI, deep learning, agentic systems); contribute to improving team standards and mentoring junior team members.
Required Qualifications
3-5 years of professional experience as a data scientist or ML engineer; proven record of building and deploying ML models in production.
Master’s degree in computer science, Statistics, Mathematics, Engineering, Operations Research or a related quantitative field, 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.
Hands-on experience with large language models (LLMs), generative AI, agentic systems, or AI-based product features.
Knowledge of MLOps tools and cloud platforms, especially Databricks (Spark, MLflow), 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, etc.).
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).
Knowledge of model explainability, interpretability techniques and responsible AI.
Benefits
Stay Healthy: World-class and affordable insurance plans ensure you and your family stay healthy.
Secure Your Future: 401(k) match program where you are vested from day‑one.
Invest in Your Education: Tuition assistance empowers 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
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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