Senior Data Scientist (Advanced Analytics & Machine Learning)
Контакты
83 200 - 106 100$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
pythonsqlrpower bitableaumachine learningdata miningtime series forecastingmathematical optimization
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Очень мало
$83к-106к/год
$150к$180кмедиана$210к
По похожим ролям (48) ~ $180к/год
На СНГ рынке: $3.9к/мес ($3.6к - $4.2к)
39
Не очень вакансия
развернуть
Зарплата заметно ниже рыночного ориентира для senior data science, а роль объединяет сложное моделирование, работу с production, BI и руководство командой. Из-за этого предложение выглядит слабым в целом.
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Зарплата ниже рынкаШирокий круг задачАктуальный стекЧерез кадровую компанию
Оценка от Hirify AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Data Scientist (Advanced Analytics & Machine Learning): Building and deploying predictive models, analytical tools, and data-driven processes to improve operational effectiveness across an enterprise ecosystem with an accent on machine learning, causal and time-series forecasting, econometrics, and mathematical optimization. Focus on leading data collection and error analysis, optimizing model performance, creating business intelligence dashboards, and mentoring analysts and data scientists.
Location: Orlando, Florida, United States
Salary: $83,200–$106,100 per year
Company
hirify.global provides staffing and employment services for technical roles.
What you will do
Formulate and apply machine learning, causal and time-series forecasting, econometric, and mathematical optimization methods for complex business analyses.
Collect, clean, organize, and structure large structured and unstructured datasets; identify variability drivers and integrate new features into production code.
Perform data and error analysis to improve model accuracy, robustness, and performance.
Evaluate and introduce advanced analytical tools, methodologies, and technologies.
Lead and mentor interns, co-ops, analysts, engineers, and associate data scientists.
Build and maintain business intelligence dashboards and communicate quantitative findings to technical and executive stakeholders while collaborating across operational, technical, and business units.
Requirements
Bachelor’s and Master’s degrees in Industrial Engineering, Operations Research, Mathematics, Statistics, Computer Science, Decision Science, Management Science, Data Science, Data Analytics, or a closely related quantitative field.
At least 3 years of applied professional experience designing, developing, and deploying analytical models, or an equivalent combination of advanced education and targeted experience.
Comprehensive proficiency in data mining, advanced mathematics, machine learning, and statistical analysis.
Hands-on experience with machine learning platforms such as AzureML, process automation tools such as MS Power Automate, and application development platforms such as Power Apps.
Advanced programming and data querying skills in Python, SQL, and R.
Experience with business intelligence and data visualization platforms such as Power BI and Tableau.
Demonstrated leadership and managerial experience, coaching ability, conceptual thinking, creative problem-solving, and strong verbal and written communication skills.
Nice to have
Doctoral degree in Industrial Engineering, Operations Research, Mathematics, Statistics, Computer Science, Data Science, or a related field.
5+ years of experience applying advanced analytical approaches in theme parks, resorts, hospitality, retail, or entertainment operations.
Experience supporting continuous 24/7/365 operational environments and high-demand business cycles.
Culture & Benefits
For temporary assignments lasting 13 weeks or longer: major medical, dental, vision, and 401(k) benefits.
Statutory sick pay is provided where required.
Reasonable accommodations are available throughout the employment process.
Employment practices include equal opportunity protections and participation in E-Verify in certain locations.
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