обновлено 9 дней назад
Senior Data Scientist (Operations Strategy)
107 100 - 107 100$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Scientist (Operations Strategy): Formulating and applying advanced analytical approaches to drive business value across a high-volume enterprise ecosystem with an accent on machine learning, mathematical optimization, and econometric methods. Focus on bridging the gap between theoretical data science and operational execution to solve intricate business problems.
Location: Orlando, Florida, United States; support is required for a 24/7/365 operation, including weekends and holidays.
Salary: $107,100 per year
Company
provides staffing and workforce solutions for technical and analytical roles.
What you will do
- Formulate and deploy causal models, time-series forecasts, econometric models, and mathematical optimization solutions.
- Perform error analysis and improve model performance for large-scale predictions.
- Collect, clean, and organize structured and unstructured datasets; identify variability drivers and develop production features.
- Create business intelligence visualizations that translate complex findings into actionable insights for technical and non-technical executive leaders.
- Research emerging analytical tools and technologies to improve model accuracy and team efficiency.
- Lead and mentor interns, co-ops, associate-level data scientists, analysts, and engineers.
Requirements
- Master’s degree in Industrial Engineering, Operations Research, Mathematics, Statistics, Computer Science, or Data Science; a doctoral degree is preferred.
- At least 3 years of applied experience designing, developing, and deploying analytical models.
- Expert-level SQL, Python, and R skills, with proficiency in data mining, statistical analysis, machine learning platforms such as AzureML, and mathematical optimization.
- Experience with Power Automate, Power Apps, and Power BI or Tableau.
- Strong conceptual thinking, creative problem-solving, leadership, and mentoring abilities in an Agile or continuous improvement environment.
- Willingness to support a 24/7/365 operation, including peak demand periods, weekends, and holidays.
Nice to have
- 5+ years of experience in high-volume consumer environments such as hospitality, retail, or entertainment.
- Doctoral degree in a relevant analytical or technical discipline.
Culture & Benefits
- Technical leadership role with opportunities to mentor developing data science talent.
- Temporary assignments lasting 13 weeks or longer may include medical, dental, vision, and 401(k) benefits.
- Statutory sick pay may be provided where required.
- Reasonable accommodations are available during the employment process.
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