Data Scientist at Total Wine & More in Maryland SSC

Summary: Total Wine & More is seeking a Data Scientist to join our growing Data Services team in our Bethesda, MD office. You will play a pivotal role in designing, developing, and deploying machine learning and AI solutions that drive strategic decision-making and operational efficiency across Total Wine & More business. Responsibilities: - Be responsible for designing machine learning and AI models by framing business problems, engineering features, and selecting appropriate algorithms and architectures - Train models by preparing data, fitting algorithms, tuning hyperparameters, and validating robustness through cross-validation techniques - Validate model performance using statistical metrics, conduct fairness and bias assessments, and perform error analysis to refine model quality - Deploy models into production environments by packaging them appropriately, integrating with systems, automating deployment workflows, and documenting for maintainability - Monitor deployed models by tracking performance over time, detecting data drift, triggering retraining when necessary, and implementing logging and alerting mechanisms - Communicate model results and trade-offs to leadership and stakeholders Required Qualifications: - Bachelor's Degree in Data Science, Computer Science, Mathematics, Statistics, Economics or related fields required or equivalent years of experience - Hands-on business experience designing machine learning and AI models by framing business problems, engineering features, and selecting appropriate algorithms and architectures - Experience in training models through data preparation, algorithm fitting, hyperparameter tuning, and cross-validation to ensure robustness and generalizability - Hands-on business experience in validating model performance using statistical metrics, conducting fairness and bias assessments, and performing error analysis to improve model quality - Hands-on business experience in deploying models into production environments, including packaging, system integration, automation of deployment workflows, and maintaining clear documentation - Hands-on business experience in monitoring deployed models by tracking performance, detecting data drift, triggering retraining, and implementing logging and alerting mechanisms - Proficiency in Python for data analysis, modeling, and automation, along with strong SQL skills for data extraction, transformation, and querying across large-scale databases Preferred Qualifications: - 1-4 years of experience in data science, predictive analytics, econometrics or related fields preferred - Preferred hands-on experience with cloud platforms (e.g., AWS, Azure, GCP) and automation tools(Airflow, Argo, etc.) for scalable model development, deployment, and monitoring, including use of cloud-native tools and services for data science workflows Required Skills: Machine Learning, Artificial Intelligence, Feature Engineering, Algorithm Selection, Model Training, Hyperparameter Tuning, Cross-validation, Statistical Metrics, Fairness, Bias Assessment, Error Analysis, Model Deployment, System Integration, Automation Tools, Cloud Platforms, Python, SQL Benefits: Paid Time Off (PTO), Generous store discounts, Health care plans (medical, prescription, dental, vision), 401(k), HSA, FSA, Pre-tax commuter benefits, Disability & life insurance coverage, Paid parental leave, Pet insurance, Critical illness and accident insurance, Discounted home and auto insurance, College tuition assistance, Career development & product training, Consumer classes, *& More!*