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Machine Learning Scientist - Remote

Posted Yesterday
Data Analysis
Full Time
USA

Overview

A talented Machine Learning Scientist position at Tower Hill Insurance Group focused on developing actionable insights and recommendations using data sources.

In Short

  • Develop machine learning models to support business objectives.
  • Collaborate with business and data engineering professionals.
  • Analyze business trends and model performance.
  • Design and deploy machine learning solutions.
  • Create visualizations and dashboards for decision-making.
  • Maintain analytical and reporting processes.
  • Document data pipelines and model architectures.
  • Work independently and drive projects forward.
  • Communicate complex concepts to non-technical stakeholders.
  • Contribute to a hybrid work environment.

Requirements

  • Bachelor’s Degree in Computer Science, Statistics, Mathematics, or related field.
  • Minimum of 5 years of experience in machine learning.
  • Advanced proficiency in Python.
  • Experience with ML frameworks like scikit-learn and PyTorch.
  • Strong communication skills.
  • Experience with cloud data platforms (e.g., Snowflake).
  • Hands-on experience with statistical methods and data processing.
  • Familiarity with visualization tools like Power BI.
  • AWS certifications in AI or ML preferred.
  • Property and casualty insurance experience is a plus.

Benefits

  • Medical, Dental, and Vision Insurance.
  • Life & Disability Insurance.
  • 401(k) and Health Savings Account.
  • Paid time off & Holiday pay.
  • Pet insurance.
  • Competitive pay and well-being programs.
Tower Hill Insurance Group logo

Tower Hill Insurance Group

Tower Hill Insurance Group LLC is a leading provider of homeowners insurance in Florida, known for its commitment to quality and customer satisfaction. The company is experiencing consistent growth and offers a dynamic work environment that fosters career advancement and personal development. Tower Hill Insurance values professional individuals who are driven and collaborative, aiming to make a significant impact in the insurance industry. With a focus on innovation and quality assurance, the company provides competitive benefits and rewards to support its employees and their families.

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