Data scientist/ML Engineer: Personalization and automated decisioning
Gen Digital29 days ago
Prague, CzechiaStaff+
Responsibilities
- Design, build, and operate a production-grade contextual bandit for message and campaign selection.
- Own a content-embedding pipeline that enables new creative to generalize without requiring a full history of prior interactions.
- Build low-latency online serving systems and feedback loops for impressions, selections, conversions, outcomes, and model learning.
- Establish evaluation, experimentation, monitoring, and rollback practices for safe production operation.
- Implement durable policy safeguards including frequency caps, eligibility conditions, suppression rules, customer protections, and required disclosures.
- Make pragmatic modeling and architecture decisions based on measurable business value and operational risk.
- Set technical direction and roadmap for personalization and decisioning across Martech while mentoring engineers and aligning cross-functional stakeholders.
Requirements
- Significant experience designing and delivering production machine-learning or decisioning systems, typically at a senior or staff level.
- Demonstrated experience shipping a contextual bandit, recommender system, ranking system, or comparable online decisioning capability into production.
- Strong software engineering fundamentals and experience building reliable, observable services, real-time inference APIs, event-driven feedback systems, and production data pipelines.
- Practical knowledge of experimentation and online evaluation, including metrics, bias, exploration versus exploitation, and failure modes.
- Experience with embeddings, representation learning, content understanding, or systems that generalize to new items.
- Sound judgment regarding model complexity, operational risk, and when simpler solutions are appropriate.
- Clear communication skills and the ability to align technical and non-technical stakeholders around trade-offs.
- Preferred experience with personalization, lifecycle marketing, campaign optimization, recommender systems, or customer engagement platforms.
- Preferred experience designing deterministic policy layers and guardrails around machine-learning systems.
- Familiarity with privacy, consumer protection, compliance, or regulated-product considerations in personalization is preferred.
- Experience setting technical direction for a new platform and mentoring engineers across teams is preferred.
Categories
About Gen Digital
Gen (NASDAQ: GEN) is a global company dedicated to Powering Digital Freedom through its trusted Cyber Safety brands, Norton, Avast, LifeLock, MoneyLion and more. The Gen family of consumer brands is rooted in providing empowerment and safety for the first digital generations. Now, Gen empowers people to live their digital lives confidently today and for generations to come. Gen brings award-winning products and services in cybersecurity, online privacy, identity protection and financial wellness to millions of users in more than 150 countries. Norton.com Avast.com LifeLock.com MoneyLion.com Avira.com AVG.com CCleaner.com GOBankingRates.com ReputationDefender.com