Data Scientist II

What You Will Do

• Design, build, and refine pricing and optimization models, including dynamic pricing, price elasticity estimation, margin optimization, and demand forecasting
• 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)
• Master's degree in Computer Science, Statistics, Mathematics, Engineering, Operations Research, or 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
• Solid grounding in statistics: hypothesis testing, confidence intervals, regression, and Bayesian methods
• 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, 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 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

Benefits

• Comprehensive benefits package including health insurance, retirement plans, and paid time off
• Volunteer Time Off (VTO) to give back to the community
• Employee Resource Groups to support diverse backgrounds and communities
• Company-sponsored donation match 3 for 1
• Flexible work arrangements and a supportive work environment

About the Role

Master Electronics is a leading global authorized distributor of electronic components, founded over 50 years ago. We are committed to fostering a workplace where everyone feels respected, supported, and empowered to succeed. Our company values include strong relationships, responsive service, and genuine added value.

Qualifications

Master Electronics is an equal opportunity employer and does 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.

Skills

Master Electronics seeks candidates who possess a strong background in data science, machine learning, and related fields. Key skills include experience with pricing, revenue, or marketing optimization, hands-on experience with A/B testing and experimentation, and proficiency in Python and ML libraries.

Benefits

Master Electronics offers a comprehensive benefits package, including health insurance, retirement plans, and paid time off. The company also provides volunteer time off, employee resource groups, and a supportive work environment.