Senior Data Scientist

2 days ago

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Assurant

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specialty insurance • extended service products and related services • renters insurance • lender-placed homeowners insurance • flood insurance

10,000+ employees

Founded 1892

💸 Finance

👥 B2C

💰 Post-IPO Debt on 2023-02

Description

• The Senior Data Scientist is responsible for using programming, mathematical, statistical, and analytical skills to solve complex business problems. • This role will advance company-wide understanding and implementation of machine learning models. • The Senior Data Scientist will present findings to the business or clients and must be comfortable communicating to all levels of the organization. • Produce clear, insightful, understandable work products (visualizations, reports, presentations, etc.) to outline business opportunities and actionable recommendations. • Transform data into insights through leveraging internal and external tools (e.g., Python, GitHub, IDE, Spark, R, SQL, Excel, Power BI, etc.) to identify and quantify opportunities. • Develop machine learning solutions for complex business problems; examine data and develop use cases to identify AI/ML solutions. • Present analysis and resulting recommendations to senior management. • Work cross-functionally with business owners to develop innovative advanced analytics products that will increase customer experience and deliver competitive advantage.

Requirements

• Overall Work Experience: 8+ Years • Min 6+ years - Experience in data science, statistics, applied mathematics, data management, business intelligence, or related fields. • Min 6+ years - Experience with data science tools (e.g., Python, GitHub, IDE, Spark, R, SQL, Excel, Power BI, etc.) and relational database software • Min 5+ years - Experience in data analysis that includes translating insights into recommendations. • Min 3+ years - Experience in an analytical role involving data extraction, analysis, statistical or machine learning modeling and communication. • Master’s Degree in Statistics, Economics, Applied Mathematics, Computer Science, or Information Management; or equivalent is required. • Master’s Degree preferred in mathematics, statistics, computer science, engineering or related field. • PhD is prefer • Strong written, verbal, and interpersonal communication skills. • Ability to effectively communicate at all levels in the organization. • Experience with data storytelling and distilling complex information into understandable ideas. • Experience working in insurance industry. • Experience with data science tools (e.g., GitHub Actions, Terraform, Docker/Kubernetes, etc.) and relational database software. • Ability to provide innovative approach to problem solving and demonstrate a track record of such. • Possesses strong analytical and research skills. • Ability to work independently on all project types. • Experience in performing statistical analyses, such as predictive modeling, time series analysis, exploratory data analysis, segmentation and cluster analysis, retention, NLP, deep learning, etc. • Experience with cloud technologies (e.g. Apache Spark, Azure (Databricks, Azure ML, Cognitive Services)) • Strong management skills and a proven track record of talent development • Ability to lead and motivate employees that may or may not be direct reports.