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Full-time
bachelor degree, postgraduate degree
Health Insurance, 401k Match, Tuition Assistance, Employee Assistance Program (EAP), Paid Holidays, PTO Accrual
Posted 35d ago
Apply by Jul 8
~40 hrs/week
Responsibilities
Design and implement data-driven decision systems focusing on pricing optimization, demand forecasting, and causal analysis. Manage the full experimentation lifecycle and develop scalable ML pipelines using Databricks and MLOps platforms.
Requirements
Requires 3-5 years of professional experience in data science or ML engineering with a strong background in statistics and pricing models. A Master's degree in a quantitative field is preferred, or a Bachelor's degree with 5+ years of experience.
Full 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
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 buildingand 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, sequentialtesting, guardrail metrics, and interpreting results under real-world constraints (novelty eff ects,interference, heterogeneous treatment eff ects)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 arelated 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 profi ciency in ML libraries (scikit-learn, PyTorch), data manipulation (pandas, SQL), and statistical analysis
Solid grounding in statistics: hypothesis testing, confi dence 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 andbusiness audiences and to collaborate eff ectively across teams
Demonstrated ability to work independently on complex problems, manage multiple projectssimultaneously, and deliver results in a fast-paced environmentPreferred Qualifications
Advanced degree (Master's or PhD) in a relevant fi eld (Statistics, Machine Learning, AI, OperationsResearch, Economics/Econometrics, etc.)
Experience with B2B or ecommerce pricing, such as quote optimization, contract pricing, or price-listmanagement 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-specifi c 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)
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.
Related keywords
Data ScienceMachine LearningPricing OptimizationA/B TestingCausal InferenceDatabricksMLflowPythonSQLPyTorchScikit-learnPandasSparkAWSS3Redshift
We’re more than just parts, we are a family that uses our collective superpowers to do significant good!
Industry
Appliances, Electrical, and Electronics Manufacturing
Company size
501-1,000 employees
Founded
1967
Headquarters
Phoenix, AZ
LinkedIn followers
19,091
THE PRODUCTS AND SOLUTIONS YOU NEED, FROM PEOPLE WHO CARE.
Master Electronics is a leading global authorized distributor of electronic components. For more than half a century, our family-owned company has remained focused on strong relationships, responsive service and added value. This is how Master Electronics has grown to serve hundreds of thousands of customers in partnership with hundreds of world-class suppliers.
Inspired by our founder’s vision for building a business around personal bonds and integrity, we embrace visionary thinking and prioritize the end goal over short-term wins. Our people are empowered to make real-time decisions and place the needs of our customers above all. Master Electronics thrives on collaborating with our customers and suppliers to design creative solutions to their purchasing, supply chain and business challenges. Our experience, speed and flexibility let us adapt and innovate, which allows companies to bring their visions to life.
Our culture puts people first and drives innovation every day. This commitment has earned us recognition as a 2025 Arizona Top Workplace, as well as national honors in the 2025 Spring Culture Excellence Awards for Innovation and Work-Life Flexibility. Because when our people thrive, so do our partnerships.
Offices: 2425 S 21st St, Phoenix, AZ 85034, US · 1301 Olympic Boulevard, Santa Monica, CA 90404, US · 4699 Old Ironside Drive, Suite 190, Santa Clara, CA 95054, US · 3100 N.W. 36th St., Miami, FL 33142, US · 86 Jalan Sejahtera Ria, Taman Sejahtera Ria 14000 Bukit Mertajam, Penang, MY
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