7 дней назад
Lead Data Scientist (AI/ML)
146 600 - 197 900$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Lead Data Scientist (AI/ML): Designing, training, deploying, and monitoring machine learning and AI solutions for strategic decision-making and operational efficiency with an accent on scalable feature engineering, model governance, and production-grade ML systems. Focus on building CI/CD and monitoring workflows, detecting data drift, assessing fairness and bias, and translating model performance into business value.
Location: Bethesda, Maryland, United States; office-based
Salary: $146,600–$197,900 annual
Company
Total Wine & More is a retail company with a Data Services team focused on using data science and AI to improve strategic decision-making and operational efficiency.
What you will do
- Frame complex, multidimensional business problems and design scalable machine learning and AI solutions.
- Prepare data, engineer features, train models, tune hyperparameters, and validate robustness.
- Evaluate models using statistical metrics, fairness and bias assessments, error analysis, and business-outcome measures.
- Deploy production ML systems with packaging, system integration, automated workflows, error handling, and maintainable documentation.
- Monitor deployed models, detect data drift, trigger retraining, and implement logging and alerting.
- Mentor junior team members and communicate technical trade-offs, model results, and business impact to leadership and stakeholders.
Requirements
- Bachelor’s degree in data science, computer science, mathematics, statistics, economics, or a related field, or equivalent experience.
- 5–8 years of experience in data science, predictive analytics, econometrics, software engineering, data engineering, or a related field.
- Expert-level Python and SQL skills, including production-grade coding and large-scale query optimization.
- Experience designing advanced ML and AI solutions, scalable feature engineering strategies, training pipelines, and hyperparameter optimization.
- Experience with model validation and governance, fairness and bias audits, error analysis, CI/CD, containerization, orchestration, and cloud reliability standards.
- Experience building model monitoring, drift detection, retraining, and alerting workflows.
Nice to have
- Master’s degree in computer science, mathematics, statistics, or a related field.
Culture & Benefits
- Paid time off and paid parental leave.
- Medical, prescription, dental, vision, disability, and life insurance coverage.
- 401(k), HSA, FSA, and pre-tax commuter benefits.
- Store discounts, pet insurance, critical illness and accident insurance, and discounted home and auto insurance.
- College tuition assistance, career development, product training, and consumer classes.
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