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Selective Insurance · 1 day ago

Senior Data Scientist (Hybrid/Remote)

Short Hills, NJ

Full-time

Hybrid

Senior Level

$121K/yr - $184K/yr

5+ years exp

Selective Insurance is a midsized U.S. domestic property and casualty insurance company with a strong history of financial performance. They are seeking a Senior Data Scientist responsible for developing machine learning algorithms and statistical analysis to solve key business problems across various functions in the organization.

FinanceFinancial ServicesInsurance

No H1B

Responsibilities

Understand the competitive marketplace, business issues, and data challenges to deliver actionable insights, recommendations, and business processes

Manipulate high-volume, high-dimensionality data from varying sources to highlight patterns, anomalies, relationships, and trends

Perform descriptive and diagnostics analysis to provide actionable insights for a range of business customers via effective visualization

Perform prescriptive analysis seeking for statistical inference providing information that will drive strategic decision making related to marketing, claims and underwriting

Develop predictive models and machine learning solutions to investigate problems, detect patterns and recommend solutions. Work with Information Technology (IT) to integrate the model into production environment

Performs model maintenance and post installation monitoring, including performance tracking, model refit/refresh, documentation, and version control

Design best in class sophisticated analytical solutions using advanced data science techniques like Text Mining, Natural Language Processing (NLP), Image Recognition, Generative AI and Robotic Process Automation (RPA)

Research and recommend new data, tools, modeling techniques, and vendor solutions to enrich analytics solutions in alignment to policy lifecycle

Provide training and mentorship to junior analysts and other coworkers. Structure session for the broader community to stay current with industry trends including cutting-edge methodology, software, and platforms while helping evolve best practices

Qualification

Machine LearningPredictive ModelingStatistical AnalysisData ManipulationSQLBig DataData VisualizationRPythonTeam MentorshipVersion ControlWeb App DevelopmentInsurance ExperienceCommunication SkillsPresentation Skills

Required

Professional statistics/quantitative skills

Hands-on experience of solving business problem with various multi variate statistical methods including generalized linear model, survival model, time series, mixed effects model etc

Deep understanding and practical experience of applying machine learning techniques and algorithms, such as SVM, GBM etc

Familiar with the whole life cycle of predictive modeling, including data provision, model development, validation and testing, model deployment

Strong Communication and Presentation Skills in front of diverse audience

Proficient with manipulating data with enterprise-scale database systems (SQL, SAS)

Experience with BI tools such as Tableau, Spotfile etc. is required

Hands on experience with Big Data / Hadoop / Spark for 2-3 years is required

Proficient with at least one scripting language such as R, Python, or Java

At least 5 years of progressive experience in data science, statistical analysis, and data modeling; 5 years of experience with statistical software

PhD with 2-3 years of experience, or Master's with 5 years of experience or Bachelors with 7 years of experience