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7 дней назад

Lead Data Scientist (AI/ML)

146 600 - 197 900$
Формат работы
onsite
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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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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