Roku - Data Scientist - Machine Learning/Deep Learning

Description :

About the Role :

Join our core Data Science team as a Data Scientist focusing on advanced predictive modeling and the exploration of Generative AI and Large Language Models (LLMs).

You'll be responsible for the end-to-end lifecycle of machine learning models, from ideation and experimentation to production deployment.

Key Responsibilities :

- Develop, train, and evaluate Machine Learning models (supervised and unsupervised) to solve complex business problems (e.g., recommendation engines, fraud detection).

- Design and implement solutions using Generative AI, NLP, and LLMs for content generation, summarization, or advanced search functionalities.

- Conduct extensive Exploratory Data Analysis (EDA) and feature engineering on large, complex datasets.

- Establish MLOps best practices for model versioning, deployment, monitoring, and retraining in a production environment.

- Translate business objectives into analytical solutions and present actionable insights to stakeholders.

- Implement A/B tests and statistical validation methods to measure model impact.

Required Technical Skills :

Languages & Libraries :

- Expert in Python and its scientific stack (Pandas, NumPy, Scikit-learn), deep knowledge of TensorFlow or PyTorch.

AI/ML :

- Proven experience with Machine Learning, Deep Learning, Statistical Modeling, and Time-Series Analysis.

Generative AI :

- Hands-on experience with NLP, Transformers, and fine-tuning or implementing LLMs (e.g., using frameworks like Hugging Face, LangChain).

Data & Big Data :

- Strong SQL skills and familiarity with big data processing tools like Apache Spark or Databricks.

Cloud Platform :

- Experience deploying and managing models on cloud ML platforms (AWS SageMaker, Azure ML, or Google Vertex AI).

Tools :

- Proficient with version control (Git) and data visualization tools (Tableau, Power BI, or Matplotlib/Seaborn)