Data Scientist MS New College Graduate

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

    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 crossfunctional teams such as product managers software engineers and business analysts to identify business problems and develop solutions.

    Explain complex technical concepts to nontechnical stakeholders in a clear and concise manner.

Qualifications :

    Masters 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 semistructured 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 datadriven applications.

    Ability to define problems generate hypotheses develop and test solutions and effectively communicate complex technical concepts to nontechnical stakeholders.

    Attention to detail.

    Ability to collaborate effectively with others to achieve project goals.

Additional Information :

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