Data Scientist II

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 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 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  i