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Data Scientist

2 months ago

Pleasanton, United States Usage AI Full time

Note:

  • No Recruiters Please.
  • Must be in office 5 days / week.
  • Minimum 3+ years of experience.
  • Must come onsite for interview.


We are seeking a Data Scientist who brings a unique blend of data science and data engineering expertise. The ideal candidate will have hands-on experience with machine learning algorithms, extensive work in building data pipelines, and proven experience with time series data. This role requires a skilled professional who can not only develop data-driven models but also set up MLOps infrastructure to support scalable deployment and continuous integration of machine learning solutions.


Responsibilities

  • Develop recommendation system and risk models.
  • Develop data pipelines to ingest, clean data, model and extract insights from data
  • Generate actionable insights from data for decision makers.
  • Develop and implement risk models to assess loss probabilities, risk metrics, and other financial impacts.


Qualifications

  • B.S/M.S. in Machine Learning, Statistics, Computer Science, Mathematics, or other quantitative fields
  • 3+ years of experience in data science, data engineering, and actuarial modeling
  • Proficiency in machine learning algorithms, with a strong focus on time series analysis.
  • Experience building and maintaining data pipelines using tools such as Apache Spark, Airflow, and SQL.
  • Fluency in a programming language (Python, SQL) and machine learning tools
  • MLOps: Knowledge of MLOps tools and practices, with experience setting up CI/CD pipelines for machine learning models (e.g., Docker, Kubernetes, TensorFlow Serving)
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud for data storage, machine learning model deployment, and data processing.
  • Familiarity with visualization tools (Tableau/QuickSight/Power BI)