Staff Data Scientist

Role: Data Scientist - Director

Location: Remote

Experience: 10-15 Years

Key Responsibilities:

• Strategic Leadership: Define and execute the companys data science and AI roadmap. Provide direction on model development, deployment, and long-term AI capability building.
• Model Development: Architect and deliver predictive, generative, and prescriptive models using advanced machine learning and deep learning techniques.
• AI Platform Engineering: Oversee end-to-end ML pipelines, from data collection and preprocessing to deployment and monitoring in production environments.
• Data Architecture: Ensure data integrity, scalability, and reproducibility across large and complex datasets.
• Mentorship: Build and mentor a high-performing team of data scientists and ML engineers. Promote best practices in experimentation, validation, and continuous learning.
• Innovation: Explore and apply emerging AI methods such as large language models (LLMs), multimodal learning, and reinforcement learning to real-world business problems.
• Stakeholder Engagement: Present analytical insights and model outcomes clearly and persuasively to technical and executive audiences.

Required Skills:

• Education: Masters or PhD in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field
• Expert proficiency in Python and frameworks such as TensorFlow, PyTorch, and scikit-learn.
• Strong foundation in statistical modeling, feature engineering, and end-to-end ML pipeline design.
• Proficiency in SQL and experience with data pipeline orchestration (Airflow, Dataflow, Kubeflow).
• Deep understanding of MLOps, including CI/CD for ML, model serving, and monitoring.
• Familiarity with big data technologies (Spark, Hadoop) and data visualization tools (Tableau, Power BI, Matplotlib).
• Preference for experience or certification with Google Cloud Platform (GCP), including BigQuery, Vertex AI, and Dataflow.