Data Scientist - New College Graduate

• Collect and extract large sets of structured and unstructured data from various sources such as databases, APIs, and web scraping.

• Develop predictive models using machine learning algorithms to forecast trends and future outcomes.

• Develop and integrate AI agents to automate data collection, preprocessing, and analysis tasks, enhancing efficiency and scalability.

• Utilize generative AI models to create synthetic data, augment data sets, and generate insights.

• Deploy models, systems, and AI agents developed; monitor and maintain them to ensure they are working effectively.

• Document processes and methodologies to ensure that work is reproducible and can be audited.

• Work with cross-functional teams such as product managers, software engineers, and business analysts to identify business problems and develop solutions.

• Explain complex technical concepts to non-technical stakeholders in a clear and concise manner.

Requirements

• Master’s degree in a quantitative field such as Data Science, Computer Science, Statistics, Mathematics, Physics, or Engineering.

• Knowledge of the AI/ML lifecycle management and tools, including EDA, Modeling, Integration/Deployment, Data/Model drift detection, Model retraining, etc.

• Familiarity with core techniques in statistical and machine learning, e.g., regularized regression, time series analysis, decision trees, boosting algorithms, neural networks, clustering, and collaborative filtering.

• Experience working with structured, semi-structured, and unstructured data sources.

• Knowledge in web crawling, natural language processing, and visualization.

• Familiar with collaborative solutions, model & code versioning (Github), solution packaging (Docker), model deployment (Dataiku).

• Proficient in programming languages such as Python, R, and SQL (for data manipulation, cleaning, and analysis), Tableau, PowerBI or Spotfire, NumPy, Pandas, and Matplotlib for visualization.

• Experience in developing and deploying generative AI models and large language models (LLMs).

• Skills in Robotic Process Automation (RPA) and automation software development.

• Knowledge of UI and UX design principles to enhance user interaction and experience in data-driven applications.

• Ability to define problems, generate hypotheses, develop and test solutions, and effectively communicate complex technical concepts to non-technical stakeholders.

• Attention to detail.

• Ability to collaborate effectively with others to achieve project goals.