Senior Data Scientist / AI Architect – LangChain & LangGraph

American IT Systems • San Jose, CA

2d

About The Position

We are seeking a highly skilled Data Scientist to analyze complex datasets, build predictive models, and develop data-driven solutions that enable business growth and operational efficiency. The ideal candidate has expertise in statistics, machine learning, data analysis, and programming, with experience delivering end-to-end data science solutions in enterprise environments.

Requirements

• Strong proficiency in Python and SQL.
• Experience with machine learning libraries such as Scikit-learn, TensorFlow, PyTorch, XGBoost, and Pandas.
• Expertise in statistical modeling, hypothesis testing, and predictive analytics.
• Experience with data wrangling, feature engineering, and exploratory data analysis.
• Knowledge of machine learning algorithms including regression, classification, clustering, time series forecasting, and NLP.
• Experience working with large datasets and cloud-based data platforms.
• Strong understanding of data structures, algorithms, and model lifecycle management.
• Experience creating data visualizations using Power BI, Tableau, or Matplotlib.

Nice To Haves

• Experience with Generative AI, LLMs, NLP, and RAG architectures.
• Knowledge of MLOps, model deployment, and monitoring tools.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Knowledge of Spark, Databricks, Snowflake, or other big data technologies.
• Familiarity with Docker, Git, and CI/CD pipelines.

Responsibilities

• Analyze structured and unstructured data to generate actionable business insights.
• Develop, train, and deploy machine learning and predictive analytics models.
• Perform data exploration, feature engineering, and statistical analysis.
• Build forecasting, classification, clustering, recommendation, and anomaly detection models.
• Design and execute experiments, A/B testing, and model evaluation frameworks.
• Develop data pipelines and automate analytical processes.
• Communicate findings through dashboards, visualizations, and presentations.
• Collaborate with business stakeholders, data engineers, and product teams to solve business problems.
• Monitor model performance and support continuous improvement initiatives.
• Ensure data quality, governance, and compliance with organizational standards.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed