Data Science Team Lead
3 weeks ago
About Us
">At Oracle, we're shaping the future of cloud solutions. Our cutting-edge technology enables us to tackle today's challenges head-on.
">Job Summary
">We're seeking a highly skilled Data Science Team Lead to spearhead our efforts in machine learning and predictive modeling. If you have a strong background in data science, excellent leadership skills, and a passion for innovation, we want to hear from you.
">Responsibilities
">The successful candidate will lead complex data science projects, develop sophisticated machine learning models, and drive continuous innovation in feature engineering and model optimization. You'll work closely with cross-functional teams to align on project goals and deliverables.
">Requirements
">We're looking for someone with:
">- ">
- A Master's or Ph.D. in Computer Science, Data Science, Statistics, or a related field">
- 8+ years of experience in data science, with a strong focus on machine learning and predictive modeling">
- Strong expertise in Python and R programming languages, with a deep understanding of machine learning algorithms">
- Proven track record of working with large datasets and big data technologies">
- Excellent leadership skills, with a proven ability to mentor and guide junior team members">
Salary and Benefits
">We offer a highly competitive salary range of $139,300 - $291,900 per annum, along with a comprehensive benefits package, including medical, dental, and vision insurance, as well as a 401(k) Savings and Investment Plan with company match.
">About This Role
">This is an exciting opportunity to join our team and contribute to the development of robust machine learning models that can predict service failures and enhance service resiliency.
">What We Offer
">As a Data Science Team Lead at Oracle, you'll have the opportunity to work on cutting-edge projects, collaborate with talented professionals, and enjoy a comprehensive benefits package.
">Join Our Team
">We're committed to expanding our inclusive workforce and promoting diverse insights and perspectives. If you're passionate about data science and innovation, we encourage you to apply.
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