Senior AI / ML Data Scientist I
Core
Architect and implement AI/ML systems to unlock novel insights from complex audience data and deliver a comprehensive understanding of audience behavior.
Role type
Senior AI/ML Data Scientist (Computer Vision & LLMs)
Builds
Production-grade ML models, simple UIs for model interaction, and data annotation tools for audience measurement.
Domain
Media analytics, audience measurement, Computer Vision, Generative AI
Deliverable
production ML models
Required skills
Python (expert), Deep Learning frameworks (PyTorch, TensorFlow, Keras), Classical ML algorithms (Regression, Classification, Clustering, Tree-based), Statistical modeling, SQL, MLOps principles, Software engineering fundamentals, Full Stack Development
Preferred skills
Generative AI models, Top-tier AI/ML/CV conference publications, Sports data experience, Cloud platforms (AWS, GCP, Azure), Video processing, Distributed computing (Spark, Kafka), Technical leadership
Technologies
Scikit-learn, Pandas, NumPy, Matplotlib, Seaborn, SciPy, Tensorflow, Keras, Pytorch, XGBoost, LightGBM, CatBoost, SVM, GridSearchCV, RandomizedSearchCV, Docker, Kubernetes, Kubeflow, MLflow, Streamlit, Gradio, Flask, Django, Apache Spark, Kafka
Responsibilities
Design, develop, train, and validate classical and deep learning models to solve business problems; Perform data cleaning, transformation, and feature engineering; Conduct exploratory data analysis to identify patterns and inform model selection; Implement rigorous model evaluation and optimization techniques; Collaborate with MLOps/DevOps teams to deploy and monitor models in production; Research and select appropriate algorithms based on problem type; Develop simple UIs for model interaction or data annotation; Mentor junior data scientists and contribute to continuous learning; Collaborate with cross-functional teams to define requirements and deliver ML solutions.
Seniority
Senior, hands-on IC with mentorship responsibilities