As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the
Manage end-to-end data analytics engagements aimed at solving complex business problems for clients. Gather business requirements, develop project plans, define milestones, and coordinate efforts between cross-functional teams. Apply statistical algorithms, machine learning techniques, and data modeling
Citi is looking for a Lead Data Engineer – AI & Distributed Analytics to architect and scale the enterprise data platforms that power our advanced analytics, machine learning, and Generative AI capabilities. In this high-impact role,
Job Description: Job Title: Data Scientist Corporate Title: Analyst - Vice President Location: New York, NY (ALL ROLES TO BE CONSIDERED) Overview Deutsche Bank benefits from having a highly experienced and dedicated Anti Financial Crime (AFC)
This is a Full-Time Role (40 hours per week, 5 days per week) with no option for part-time work. While this is a remote-first opportunity, the candidate filling this role must be a resident of Pennsylvania,
Cleaned Document About the role and team Being a Staff Scientist at Uber means solving the complex, global-scale puzzle of how millions of people and things move in the real world. You arent just an individual
Data Infrastructure Engineer (Hadoop) New York City, NY Hybrid Schedule (M/F remote, T/W/TH in-office) At Magnite, we cultivate an environment of continuous growth and collaboration. Our work impacts what millions of people read, watch, and buy,
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side