Manager, Data Science
WFA Digital Insight
The demand for skilled data science leaders in cybersecurity is on the rise, with a 25% increase in job postings over the last year. As companies like Crowdstrike continue to innovate, the need for professionals who can bridge the gap between data science and security operations has never been more pressing. With the shift towards remote work, candidates with strong leadership and technical skills are in high demand. Before applying, it's essential to understand the unique challenges of leading a remote team and driving technical strategy in a rapidly evolving field. The right candidate will have a deep understanding of machine learning, cybersecurity, and the ability to collaborate with cross-functional teams.
Job Description
About the Role
The Manager, Data Science role at Crowdstrike is a unique opportunity to lead a team of data scientists at the forefront of machine learning and cybersecurity. As a leader in this field, you will be responsible for driving the strategic direction of machine learning initiatives and collaborating with cross-functional teams to deliver innovative security solutions. Your team will be at the intersection of machine learning, big data, and security, working to develop and deploy cutting-edge solutions to real-world problems.The day-to-day responsibilities of this role will include leading and mentoring a team of data scientists, establishing technical standards and best practices for machine learning development, and defining the technical strategy for machine learning initiatives in threat detection and agentic AI for security. You will also be responsible for leading machine learning projects from initial research through production deployment, working closely with stakeholders to ensure that solutions meet business needs.
The role is part of a dynamic and fast-paced team, with a strong focus on innovation and collaboration. As a manager, you will have the opportunity to shape the direction of the team and contribute to the development of Crowdstike's technical strategy.
What You Will Do
- Lead and mentor a team of data scientists to develop and deploy machine learning models and solutions
- Establish technical standards and best practices for machine learning development
- Define and drive the technical strategy for machine learning initiatives in threat detection and agentic AI for security
- Collaborate with cross-functional teams to deliver innovative security solutions
- Lead machine learning projects from initial research through production deployment
- Develop and maintain relationships with key stakeholders to ensure that solutions meet business needs
- Stay up-to-date with industry trends and developments in machine learning and cybersecurity
- Identify and mitigate potential risks and threats to the organization
- Develop and manage project plans and timelines to ensure successful delivery of solutions
- Communicate technical concepts and results to non-technical stakeholders
What We Are Looking For
- Advanced degree (Master's or PhD) in Computer Science, Data Science, Mathematics, Physics, or related STEM field
- 5+ years of experience in data science and machine learning, with at least 2 years in a technical leadership or team lead capacity
- Proven track record of leading machine learning projects from research to production deployment
- Strong understanding of cybersecurity concepts, threat landscape, and security operations
- Programming proficiency in Python and experience with machine learning frameworks and big data technologies
- Experience mentoring and developing data scientists and machine learning engineers
- Demonstrated ability to collaborate with cross-functional teams and communicate technical concepts to non-technical stakeholders
Nice to Have
- Experience with cloud-based technologies such as AWS or Azure
- Knowledge of containerization technologies such as Docker
- Experience with agile development methodologies
- Certification in machine learning or data science
Benefits and Perks
- Market leader in compensation and equity awards
- Comprehensive physical and mental wellness programs
- Competitive vacation and holidays for recharge
- Paid parental and adoption leaves
- Professional development opportunities for all employees regardless of level or role
- Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections
- Vibrant office culture with world-class amenities
- Great Place to Work Certified across the globe
- Remote work options with flexible scheduling
- Access to cutting-edge technologies and tools
- Opportunities for career growth and advancement
How to Stand Out
- Develop a strong portfolio that showcases your experience with machine learning and data science, including any relevant projects or certifications.
- Be prepared to discuss your technical skills and experience in detail, including your proficiency in programming languages such as Python.
- Highlight your ability to communicate complex technical concepts to non-technical stakeholders, and provide examples of times when you have done so effectively.
- Research the company and the role thoroughly, and be prepared to ask informed questions during the interview process.
- Consider obtaining certifications in machine learning or data science to demonstrate your expertise and commitment to the field.
- Be prepared to discuss your experience with remote work and your ability to lead and manage a distributed team.
- Don't be afraid to negotiate salary and benefits - Crowdstrike is a market leader in compensation and equity awards, and they are looking for top talent.
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