Role overview
To be a family that uses our collective superpowers to do significant good.:
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.
What you'll work on
- 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.
What you bring to the table!:
What we're looking for
- 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.
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.