6 дней назад
Sr. Manager, Data Science (Product & Engineering)
129 700 - 226 900$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Sr. Manager, Data Science (Product & Engineering) (Advanced Analytics and Machine Learning): Leading a data science team and developing predictive and prescriptive analytics models and solutions for business decision-making with an accent on stakeholder strategy, advanced statistical methods, and large-scale cloud data. Focus on managing and coaching data scientists, scaling analytics with Python, R, SQL, Databricks, and Azure, and driving adoption of analytical outputs across the business.
Location: Oak Brook, Illinois, United States
Salary: $129,700–$226,900 base pay annually, depending on position, location, education, training, and experience.
Company
Group develops intelligent access solutions powered by myQ technology, with products used by homeowners, businesses, and communities worldwide.
What you will do
- Build relationships with business leaders and understand their strategies, initiatives, and success metrics.
- Lead, manage, coach, recruit, and develop highly technical data scientists.
- Drive the development and execution of data science methodologies and practices.
- Lead technical engagements with business stakeholders and senior leaders, and educate users on advanced analytics.
- Design, develop, and deploy predictive and prescriptive analytics models and solutions.
- Drive adoption of insights and models, manage external data science resources, and support measurable business impact.
Requirements
- Bachelor’s degree in data science, statistics, mathematics, econometrics, engineering, or another quantitative field.
- 8+ years of relevant experience, including 2+ years directly managing data scientists.
- Expertise in statistics, advanced analytics, forecasting, predictive modeling, network analysis, cluster analysis, and machine learning.
- Advanced expertise in Python, R, and SQL.
- Experience with data science tools such as Databricks, distributed computing, large-scale data, and cloud analytics such as Azure.
- Strong problem-solving, communication, collaboration, leadership, and change-management skills.
Nice to have
- Master’s or doctorate in a quantitative field.
- Experience leading end-to-end data science implementations with Agile methodologies.
- Experience in analytical consulting.
Culture & Benefits
- Full-time employment with a comprehensive benefits package.
- 401(k) contribution, subject to eligibility requirements.
- Eligibility for a short-term incentive plan under applicable policies.
- Inclusive equal-opportunity workplace with consideration for applicants from all backgrounds.
- Reasonable accommodations are available for applicants with disabilities during the hiring process.
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