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Why this grade This listing scored 30/100, which is an F. It lost the most ground on freshness. See the breakdown
- Description depth 20 / 20 How much the posting actually says about the work, measured in characters of real text.
- Pay transparency 12 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
- Remote clarity 8 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Corroboration 5 / 10 Whether more than one source carries this listing.
- Role specificity 0 / 10 Whether the listing is tagged well enough to tell what the role actually is.
- Freshness 0 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
-15 Ghost-job penalty — Deducted for signals that this posting may not be a real, currently-open role — staleness, repeated relisting, or talent-pool language.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
Role Overview
As a Manager, Data Science, you will lead a team of data scientists at the intersection of Machine Learning, Big Data, and Security. You will drive the strategic direction of machine learning initiatives, mentor and develop your team, and collaborate across functions to deliver innovative security solutions.
What You Will Do
Lead and mentor a team of data scientists, establish technical standards and best practices for ML development, define and drive the technical strategy for machine learning initiatives in threat detection and agentic AI for security, and lead ML projects from initial research through production deployment.
Why It Might Be a Fit
This role requires a unique combination of deep machine learning expertise and cybersecurity domain knowledge. You will bridge the gap between data science and security operations to deliver meaningful impact for our customers.
Requirements
- Advanced degree (Master’s or PhD) in Computer Science, Data Science, Mathematics, Physics, or related STEM field, OR Bachelor’s degree with equivalent experience
- 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 ML projects from research to production deployment
- Strong understanding of cybersecurity concepts, threat landscape, and security operations
- Programming proficiency in Python and experience with ML frameworks and big data technologies
- Experience mentoring and developing data scientists and ML engineers
- Demonstrated ability to collaborate with cross-functional teams and communicate technical concepts to non-technical stakeholders
Benefits
- 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 CertifiedTM across the globe
Originally posted on Himalayas
Apply for this role Opens himalayas.app — the link as listed; we have not yet verified it is the employer's own page
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Where this listing came from
- 08 Jul 2026 Himalayas first sighting
Seen on 1 board over 0 days.