Über
AdTech | Fully Remote (US)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 businessDesigning and scaling production-grade ML architectures using Databricks and cloud-native toolingBuilding, deploying, and maintaining batch and real-time ML pipelines used in customer-facing systemsDeveloping advanced statistical and machine learning models to support optimisation, ranking, forecasting, and attribution use casesEstablishing best practices for experimentation, feature engineering, model deployment, monitoring, and retrainingDriving MLOps standards across the organisation, including CI/CD for ML, model versioning, and performance monitoringTranslating complex business problems into robust, data-driven solutionsMentoring senior and mid-level data scientists and ML engineers, while setting a high technical barContributing 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 levelStrong hands-on experience building and operating production ML systems at scaleDeep expertise with Databricks (Spark, MLflow, Delta Lake, feature pipelines)Excellent foundations in statistics, machine learning, and applied mathematicsExperience working with large, complex, real-world datasets in high-throughput environmentsProven ability to balance research depth with engineering pragmatismComfortable operating in ambiguous, high-ownership startup settings
Preferred Experience
Background in AdTech, MarTech, marketplaces, or data-intensive SaaS platformsExposure to real-time or low-latency ML systemsExperience influencing ML platform or data strategy at company levelFamiliarity 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 growthSignificant influence over technical direction, architecture, and modeling approachesFully remote role (US-based)Competitive compensation package: up to $200K-$210K base + bonus + equityHigh level of ownership and visibility within the business
Sprachkenntnisse
- English
Hinweis für Nutzer
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