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, orrecommendation; 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)
• Databricks certifi cations (e.g., Machine Learning Associate/Professional)
• Knowledge of model explainability, interpretability techniques, and responsible AI

Stay Healthy:World-class and affordableinsurance 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:Tuitionassistanceempowers you to further your education and career

Employee Assistance Program (EAP)andother incentives: Access toPerspectives,Healthcare Advocate,Working AdvantageDiscount Program,andmore

Enjoy Work-Life-Harmony: Paid holidays, PTO accrual, Floating Holiday, and supportive personal and parental leave policies

DoSignificant Good:Company-sponsoreddonation match 3 for1, Volunteer Time Off (VTO) to give back to the community,and Employee Resource Groups

Provide Additional FinancialSecurity:Company-funded and voluntaryAD&D Life Insurancefor you and your loved ones

 

If you want to learn more about our comprehensive benefits, visit:https://careers.masterelectronics.com/benefits-wellness