Principal Data Scientist, Recommendations

Vidmob

Contract type

Ongoing

Work mode

100% remote

Experience

Lead / principal · 10+ years

Job description

Develop recommendation models that identify likely drivers of underperformance, recommend creative improvements, prioritize edits, and support testing
Build creative intelligence systems that connect visual, text, audio, structural, platform, and performance data into diagnostics, scores, recommendations, and decision-support tools
Advance multimodal modeling
Raise analytical and modeling standards
Write production code in Python and SQL for data products, APIs, model pipelines, evaluation frameworks, and internal tools
Partner with Engineering to make systems reliable, observable, scalable, and maintainable
Improve ML infrastructure, including training pipelines, feature stores, model serving, evaluation harnesses, and deployment workflows across AWS and GCP / Vertex AI
Serve as an AI technical leader and explain complex technical ideas clearly to product, engineering, commercial, executive, and customer-facing teams
Increase technical velocity by helping the organization adopt better tools, automation, evaluation methods, and AI-assisted development practices
Company mission
Information not specified

Core technologies

Python (Programming Language)SQLAWSGoogle Cloud Platform (GCP)

PhD in Computer Science strongly preferred; PhD in statistics, mathematics, natural science, engineering, operations research / management science, or economics also valued with strong CS and engineering experience; exceptional MS candidates considered with substantial applied AI / ML experience
10+ years in applied data science, machine learning, or AI product development, or 5+ years post-PhD in a highly technical applied role
Production-quality Python and experience designing data systems, reasoning about architecture, and partnering with engineers on deployed data products
Data querying and SQL writing skills to extract information from large data tables and manipulate data using SQL queries and scripting code
Large-scale data and MLOps fluency
Strong command of supervised and unsupervised learning, model evaluation, feature engineering, embeddings, retrieval, ranking, clustering, classification, recommendation systems, and statistical validation
Practical experience with computer vision, video/image understanding, LLMs, foundation-model workflows, or other applied GenAI systems
Strong command of probability, statistics, optimization, experimental design, causal inference, hypothesis testing, confidence intervals, and treatment/control design
Python, SQL, AWS, GCP, Vertex AI, LLMs
Python (Programming Language)
SQL
AWS
Google Cloud Platform (GCP)