
Senior Data Scientist
- Philadelphia, PA
- $114,100-193,900 per year
- Permanent
- Full-time
In this role, you will:
- Synthesize data to uncover inherent trends, assess impact of data on business usage, and to make recommendations for improvement.
- Build GLM pricing models in support of various property and casualty insurance products.
- Research, recommend, and implement statistical and other mathematical methodologies appropriate for the given business problem.
- Build explanatory and forecasting models using descriptive and inferential statistics, and regression analysis.
- Perform data validation, preprocessing, and exploratory data analyses.
- Communicates analytical goals, approach, outcomes, and insights to both technical and non-technical audiences.
- Translate analytical findings into relevant business insights.
- Collaborate with business partners and peers within the organization to understand and scope the problem, gather business requirements, and develop robust model solutions that drive improvement in key business metrics.
- Effectively communicate with key stakeholders (both technical and non-technical) in written, oral and presentation formats.
- Create/Maintain excellent working relationships with business partners across the Chubb organization including Product, Actuarial, IT, and analytics peer groups.
- Provide guidance and mentorship directly and indirectly to junior team members.
o Extensive experience with both supervised and unsupervised ML algorithms, including GLMs (Generalized Linear Models).
o Strong understanding of predictive and prescriptive analytics and data visualization.
o Extensive experience with data manipulation and feature engineering.
o Exploratory data analysis, model development and solution design.
o Significant programming experience in Python.
o Significant programming experience in SQL.
o Working knowledge/familiarity with Git version control.
o Ability to communicate effectively to both technical and non-technical audiences in written, oral and presentation formats.
o The ability to multi-task, learn new things quickly, and demonstrate excellent problem-solving skills.Preferred:
o Prior experience in property and casualty insurance, and / or knowledge of actuarial concepts.
o Advanced knowledge of model tuning, evaluation, and operationalization.
o Experience in architecting and consuming APIs at scale.
o Experience with Deep Learning libraries (Tensorflow / Keras, PyTorch, MXNet, etc.).
o Hands-on experience with big data technologies and cloud (Databricks / Spark, Azure/AWS/GCP/Snowflake).
o Experience with Text Analytics and Natural Language Processing.
o Comfortable with command line (Linux, Windows) scripting.
o Experience with at least one other programming language aside Python, like Julia, R Scala, Go, Java, or C++.Education:
- The candidate should have 5+ years of industry experience in data science and analytics. Graduate degrees in a technical field such as Statistics, Computer Science, Data Science, Bioinformatics, Physics, Mathematics, Economics or Engineering are preferred.
- We are open to the following work locations for this position: (Philadelphia, PA - Jersey City, NJ - Whitehouse Station, NJ - New York, NY - Simsbury, CT)