Machine Learning Data Scientist

February 28

🦌 Connecticut – Remote

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🐊 Florida – Remote

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+12 more states

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⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

🦅 H1B Visa Sponsor

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Logo of Tower Hill Insurance Group

Tower Hill Insurance Group

Founded in 1972, Tower Hill Insurance is a leader among residential and commercial property insurers. We are headquartered in Gainesville, Florida, and have offices in Lexington (KY), Palm Beach Gardens (FL), Dallas (TX), and Cincinnati (OH). Through our network of insurance agencies, Tower Hill offers homeowners, mobile homeowners, rental property, condominium, renters, commercial, and flood coverage. Our purpose is to deliver peace of mind and fulfill our promise to provide excellent service with compassion and empathy.We are a family-run company, and our employees strive every day to uphold our values of commitment, service excellence, integrity, teamwork, and profitable growth. Our affiliated insurance companies include the following carriers: Tower Hill Insurance Exchange, Tower Hill Prime, and Tower Hill Specialty. Note: Tower Hill Insurance intends for this page to be a resource and encourages contributions; however, defamatory, harassing, insulting, discriminatory, abusive, demeaning, or indecent comments will be removed, and repeat offenders will be banned.

Property and casualty insurance • homeowners insurance • rental insurance • condo insurance • flood insurance

501 - 1000 employees

📋 Description

• Tower Hill Insurance has an exciting opportunity for a Machine Learning Data Scientist who enjoys intellectual challenges. • This role develops actionable insights using in-house and external data sources. • Collaborate with technical stakeholders to understand strategy, objectives, and questions. • Acquire and validate structured/unstructured data to verify its quality. • Perform analysis of historical data to uncover trends and insights. • Visualize and report using dashboarding tools like Power BI and Python libraries. • Develop, own, and manage recurring analytic or reporting processes. • Develop comprehensive documentation to communicate underlying data/tools framework and deliverables.

🎯 Requirements

• High School Diploma or GED required. • Bachelor’s Degree in Computer Science, Statistics, Mathematics, Engineering, or related field preferred. • Minimum of five (5) years of relevant work experience in data engineering, analytics, and/or business intelligence required. • Proficiency in SQL and Python. • Experience with data storytelling through visualization tools. • Strong written and verbal communication skills. • Strong storytelling and presentation abilities to communicate complex technical concepts and insights to diverse non-technical stakeholders. • Proven ability to lead and execute in client-focused environments. • Knowledge of statistical and machine learning based methods. • Strong programming skills in Python libraries with experience using PySpark and Pandas for large-scale data processing. • Hands on experience using python libraries (Python, scikit-learn etc.) to implement a variety of methods (e.g., hypotheses testing, multiple regression), exploratory (e.g., clustering, PCA, correlations), anomaly detection, and AI-ML techniques (supervised / unsupervised learning), visualization (matplotlib, seaborn, plotly), constrained optimization, forecasting, and, time series analyses. • Minimum of three plus (3+) years of experience in Power BI. • Experience in Snowflake cloud data platform and AWS (S3, Glue). • Property and casualty insurance or financial services industry work experience including regulatory standards and best practices is a plus. • AWS Certifications in AI or ML preferred. • Valid Driver’s License required.

🏖️ Benefits

• Medical • Dental • Vision • Life & Accidental Death and Dismemberment (AD&D), and Disability Insurance • 401(k) • Health Savings Account • Accident and Cancer insurance plan

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