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Company Overview
A global professional services organization is seeking a Data Science Manager to drive enterprise technology strategy and transformation initiatives. The organization specializes in cybersecurity, cyber defense, and analytics, helping clients modernize security operations, strengthen cyber resilience, and leverage artificial intelligence and data-driven insights to enhance threat detection and response across multiple industries.
Position Summary
The Data Science / Data Lake Manager will apply analytics, artificial intelligence, and security operations expertise to client-facing projects. This role focuses on modernizing cyber data and analytics capabilities, supporting transformation initiatives, and delivering actionable insights that strengthen security operations and drive business impact.
Responsibilities
Support the design and modernization of cyber data, analytics, and security operations capabilities for client environments
Apply artificial intelligence, machine learning, and data engineering methods to cybersecurity use cases such as detection engineering, threat hunting, and response acceleration
Work with cyber data platforms, cloud technologies, and telemetry sources to improve visibility, analysis, and operational decision-making
Contribute to strategy, design, and implementation workstreams across cyber transformation engagements
Prepare analyses, client deliverables, and recommendations while coordinating with cross-functional stakeholders and project team members
Lead projects or workstreams, providing clear guidance and support to team members
Manage and prioritize multiple tasks in a fast-paced and dynamic environment
Qualifications Required:
10+ years of experience in analytics consulting, cybersecurity analytics, or security operations
10+ years of experience with AI development tools or frameworks such as vector databases, LangChain, or CrewAI
10+ years of experience using Python, SQL, R, or SAS for data preparation, feature engineering, visualization, or machine learning workflows
Experience with cybersecurity cloud platforms such as Google SecOps, AWS, or Microsoft Azure; exposure to SOC threat hunting or incident response
Bachelor’s degree in Engineering, Mathematics, Statistics, Computer Science, Cybersecurity, or related field, or 4 years of equivalent professional experience
Ability to travel up to 50% on average, depending on client assignments
Limited immigration sponsorship may be available
Preferred:
Experience designing, developing, or deploying enterprise AI or data science solutions
Applying AI, machine learning, or advanced data engineering to cybersecurity use cases
Parsing and normalizing cyber or IT telemetry datasets
Experience with PyTorch, Keras, TensorFlow, Scikit-learn, NumPy, or SciPy
Experience with Apache Kafka, Storm, or Spark
Creating client-ready materials using Microsoft PowerPoint or Visio
Disclaimer
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1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality. 2. No Client Relationship: This company is not a client of SpringCube unless stated. 3. To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job. 4. No Liability: SpringCube is not liable for inaccuracies.
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