Data Scientist

$65,500 - $108,000/Yr

Chubb - Jersey City, NJ

posted 6 months ago

Full-time - Entry Level
Jersey City, NJ
Insurance Carriers and Related Activities

About the position

Chubb is the world's largest publicly traded property and casualty insurer, with operations in 54 countries. The North America Data & Analytics Division is currently seeking a Data Scientist with over a year of experience to develop model monitoring solutions for various data science applications. This position provides exposure to a wide variety of analytic tools and technologies, presenting unique challenges in problem-solving. The successful candidate will leverage both internal and external data sources to monitor best-in-class model solutions. In this role, you will collaborate with business partners and peers within the organization to understand the models and develop robust model monitoring solutions that ensure data quality and analytic accuracy. You will execute all aspects of analytics model monitoring, including exploratory data analysis, data processing, model deployment, and monitoring. The ability to synthesize data to uncover inherent trends, assess the impact of data on business usage, and make recommendations for improvement is crucial. You will also thoughtfully identify and construct predictive variables from both internal and external data sources, research, recommend, and implement statistical and other mathematical methodologies appropriate for the given business problem. Additionally, you will create and maintain excellent working relationships with business partners across the Chubb organization, including Product, Actuarial, IT, and analytics peer groups. Providing supporting documentation for the models developed, including documentation of methodologies used and data issues encountered, is also a key responsibility.

Responsibilities

  • Collaborate with business partners and peers to understand the model and develop robust model monitoring solutions.
  • Execute all aspects of analytics model monitoring including exploratory data analysis, data processing, model deployment, and monitoring.
  • Synthesize data to uncover inherent trends and assess the impact of data on business usage.
  • Make recommendations for improvement based on data analysis.
  • Identify and construct predictive variables from internal and external data sources.
  • Research, recommend, and implement statistical and mathematical methodologies appropriate for business problems.
  • Create and maintain working relationships with business partners across the organization.
  • Provide supporting documentation for models developed, including methodologies used and data issues encountered.

Requirements

  • 1+ year of experience utilizing both supervised and unsupervised ML algorithms.
  • Basic understanding of data mining, predictive modeling, and data visualization.
  • Programming experience in Python.
  • Programming experience in SQL.
  • Ability to communicate effectively to both technical and non-technical audiences in written, oral, and presentation formats.
  • Ability to multi-task, learn new things quickly, and demonstrate excellent problem-solving skills.

Nice-to-haves

  • Working knowledge/familiarity with Git version control.
  • Experience in architecting and consuming APIs at scale.
  • Advanced knowledge of model tuning, evaluation, and operationalization.
  • Experience with Deep Learning libraries (Tensorflow / Keras, PyTorch, MXNet, etc.).
  • Experience with Text Analytics and Natural Language Processing.
  • Prior exposure to auto-ML platforms or technologies like H2O or DataRobot.
  • Hands-on experience with big data technologies and cloud (Databricks / Spark, Azure/AWS/GCP).
  • Comfortable with command line (Linux, Windows) scripting.
  • Experience with at least one other programming language (Python, R, Julia, Scala, Go, Java, C++).
  • Prior exposure to NoSQL databases.

Benefits

  • Comprehensive benefits package including health insurance, dental insurance, and vision insurance.
  • Participation in a discretionary annual incentive program.
  • 401k retirement savings plan with company matching contributions.
  • Tuition reimbursement for further education.
  • Flexible scheduling options.
  • Paid holidays and vacation time.
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