Description
We are seeking a Sr. Data Scientist I to join our diverse team of data scientists on the Auto Insurance Rating Analytics team. The successful candidate will play a key role in new product innovation, model development, generating actionable insights, and working closely with the Vertical and Product teams to design and implement new solutions that are cutting edge and support the insurance market.
Responsibilities:
- Developing, analyzing, and modeling operational, economic, management, accounting and other organizational data to quantify the competitive performance of business segments, evaluate potential operational changes, and design new approaches and methodologies
- Analyzing organizational data to recommend solutions to new and complex problems, developing innovative strategies, quantifying the competitive performance of the organization's operations and/or markets; modeling and evaluating the potential impact of changes
- Applying and integrating statistical, mathematical, predictive modeling and business analysis skills to manage and manipulate complex high-volume data from a variety of sources
- Supporting existing models
- Developing, analyzing and models operational, economic, management, accounting and other organizational data to quantify the competitive performance of business segments, evaluate potential operational changes, and design new approaches and methodologies
Requirements:
- Bachelor’s degree in Mathematics, Statistics, Computer Science, Data Science, or other quantitative discipline (or equivalent years of experience); Master’s/Ph.D. degree preferred. Actuarial experience/certification also preferred.
- 3+ years demonstrated experience in data manipulation and various AI/ML methodologies, preferably in applications using credit data for insurance or financial services
- Strong expertise in one or more of the following: R, Python, SQL, or equivalent analytic software
- Experience manipulating and merging multiple large data sets in a distributed computing environment
- Solid understanding of ML techniques, including hypothesis testing, sample design, model development (linear and non-linear models), validation of machine learning models
- Strong programming skills in Python and/or R, with extensive experience with their standard data manipulation and ML packages (pandas, scikit-learn, NumPy, XGBoost, PyTorch in Python and rpart, party, caret in R) and/or Scala
- Strong ability as a self-starter to learn new technologies (Pyspark, ECL, Azure/AWS ML Services) and to share cross-functional knowledge across the teams
Benefits:
- U.S. National Base Pay Range: $95,300 - $158,800
- Geographic differentials may apply in some locations to better reflect local market rates
- Eligible for an annual incentive bonus
- Country specific benefits available