2 дня назад
Sr. Manager, Data Science (Product & Engineering)
129 700 - 226 900$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Sr. Manager, Data Science (Product & Engineering) (Advanced Analytics and Machine Learning): Leading data science teams in designing, developing, and deploying predictive and prescriptive models that advance business objectives with an accent on advanced analytics, machine learning, and large-scale cloud data. Focus on translating complex business problems into adopted solutions, scaling analytics in Azure and distributed environments, and coaching data scientists.
Location: Oak Brook, Illinois, United States; hybrid
Salary: $129,700–$226,900 annual base pay, plus benefits, 401(k) contribution, and eligibility for a short-term incentive plan.
Company
Group develops intelligent access solutions and myQ technology for homes, businesses, and communities worldwide.
What you will do
- Partner with business leaders to understand strategy, initiatives, and success KPIs.
- Lead, manage, coach, recruit, and onboard data scientists.
- Drive data science methodology, practices, advanced analytics, and machine learning adoption.
- Design, develop, and deploy predictive and prescriptive models and solutions.
- Translate complex business problems into actionable data science outputs and drive adoption across teams.
- Manage relationships with external data science resources and vendors.
Requirements
- Master’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 Databricks, distributed computing, large-scale data, and cloud analytics such as Azure.
- Strong communication, collaboration, problem-solving, leadership, and change-influence skills.
Nice to have
- Doctorate degree in a relevant quantitative discipline.
- Experience leading end-to-end data science implementations with Agile methodologies.
- Experience in analytical consulting roles.
Culture & Benefits
- Leadership responsibility for a high-performance data science team.
- Performance management, compensation, feedback, and employee development responsibilities.
- Comprehensive benefits package and 401(k) contribution, subject to eligibility.
- Equal opportunity workplace committed to an inclusive environment.
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