Data Scientist, People, Policy & Purpose (3P)

at  Cisco Systems

The application window is expected to close on: Feb 28, 2025.
Note: This job posting may close earlier if the position is filled or if a sufficient number of applications are received.

MINIMUM QUALIFICATIONS

• Bachelor’s degree with 7+ years of experience, Master’s degree with 3+ years of experience, or PhD with 1+ year of experience in Computer Science, Data Science, Statistics, or related fields
• Demonstrated experience in advanced statistical methods, including hypothesis testing, regression analysis, and time-series modeling.
• Demonstrated experience in SQL, database management and data warehousing to include familiarity with ETL process for managing large datasets.
• Demonstrated experience with Version control tools like Git/GitHub
• Demonstrated experience with APIs and integrations to include building and consuming RESTful APIs.
• Demonstrated experience deploying AI/ML models using containerized environments (e.g., Docker, Kubernetes)

PREFERRED QUALIFICATIONS

• Programming: Familiarity with Golang for performance-critical applications and knowledge of R, Julia, MATLAB or similar for advanced statistical computations.
• AI and ML Expertise:
• Proficiency in frameworks (Scikit-learn, TensorFlow, PyTorch) for building and deploying ML models.
• Strong knowledge of ML algorithms (e.g., SVMs, decision trees, gradient boosting, ensemble methods).
• Familiarity with pre-trained tools (Hugging Face) and transfer learning for customized applications.
• NLP and Text Analytics:
• Experience with SpaCy, NLTK, Gensim, transformers, and advanced NLP techniques (e.g., text preprocessing, sentiment analysis, clustering, anomaly detection).
• Expertise in advanced language models for multilingual or domain-specific tasks.
• Cloud-Based ML Tools:
• Hands-on experience with Google Vertex AI, Azure ML, or AWS SageMaker for managing pipelines.
• Big Data and Workflow Automation:
• Proficient in ETL processes and CI/CD workflows for streamlined production and automation.

KEY RESPONSIBILITIES

• Perform statistical analysis (e.g., hypothesis testing, regression, time-series modeling) to derive insights.
• Clean and preprocess datasets, handle missing data, outliers, and manage real-time data streams.
• Build, train, and deploy ML and deep learning models (e.g., CNNs, RNNs, transformers) for tasks like NLP, topic modeling, clustering, and anomaly detection.
• Design and maintain end-to-end AI pipelines with CI/CD integration and robust monitoring.
• Collaborate with teams to integrate AI/ML models via APIs using frameworks and libraries and implement scalable deployment on containerized environments (e.g., Docker, Kubernetes).
• Manage large-scale datasets using big data tools and distributed computing frameworks.
• Ensure monitoring and performance optimization of deployed models, utilizing cloud-based AI/ML solutions (Google Vertex AI, Azure Machine Learning or OpenAI, AWS SageMaker).

As a Data Scientist/AI Engineer in the 3P Organization, you will play a pivotal role in:

• Enhance and maintain scalable, reliable data analytics pipelines.
• Build, deploy, and monitor AI learning agents to personalize and adapt Cisco Networking Academy learning experiences.
• Integrate advanced ML models into production to deliver insights, optimize workflows, and drive business transformation.
• Collaborate across teams to align AI initiatives with organizational goals, fostering innovation in learning and development