À propos
Base salary up to $200K + equity
On behalf of a high-growth AdTech startup, we are partnering with an innovative, venture-backed business that is scaling a datadriven advertising platform operating at significant volume and complexity. The company is building core technology for real-time decisioning, optimisation, and measurement, and is now seeking a Principal Data Scientist / ML Engineer to play a key role in shaping its machine learning and data science capabilities.
This position represents a true hybrid role, split approximately 50% Machine Learning Engineering and 50% Data Science, with endtoend ownership from research through to production.
The Role
The successful candidate will operate at Principal level, acting as both a hands-on technical leader and a strategic partner to Product and Engineering leadership.
Key responsibilities include: Owning and leading high-impact ML and data science initiatives across the business Designing and scaling production-grade ML architectures using Databricks and cloud-native tooling Building, deploying, and maintaining batch and real-time ML pipelines used in customer-facing systems Developing advanced statistical and machine learning models to support optimisation, ranking, forecasting, and attribution use cases Establishing best practices for experimentation, feature engineering, model deployment, monitoring, and retraining Driving MLOps standards across the organisation, including CI/CD for ML, model versioning, and performance monitoring Translating complex business problems into robust, data-driven solutions Mentoring senior and mid-level data scientists and ML engineers, while setting a high technical bar Contributing to the longer-term ML and data strategy in a fast-scaling startup environment Required Background
6-10+ years of experience across Data Science and/or ML Engineering, with demonstrated impact at Staff or Principal level Strong hands-on experience building and operating production ML systems at scale Deep expertise with Databricks (Spark, MLflow, Delta Lake, feature pipelines) Excellent foundations in statistics, machine learning, and applied mathematics Experience working with large, complex, real-world datasets in high-throughput environments Proven ability to balance research depth with engineering pragmatism Comfortable operating in ambiguous, high-ownership startup settings Preferred Experience
Background in AdTech, MarTech, marketplaces, or data-intensive SaaS platforms Exposure to real-time or low-latency ML systems Experience influencing ML platform or data strategy at company level Familiarity with GenAI or LLM use cases within advertising or data products Why This Opportunity
Join a rapidly scaling AdTech startup at a pivotal stage of growth Significant influence over technical direction, architecture, and modeling approaches Fully remote role (US-based) Competitive compensation package: up to $200K-$210K base + bonus + equity High level of ownership and visibility within the business
Compétences linguistiques
- English
Avis aux utilisateurs
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