Data Scientist (Hybrid) (New Grad & Entry Level)

Homesite is a company focused on providing comprehensive coverage solutions. They are seeking a Data Scientist to develop and analyze organizational data, recommend solutions to complex problems, and design innovative strategies to enhance business performance.

Responsibilities

• Leverages machine learning and predictive modeling projects across a variety of problem domains or business initiatives, building predictive models to support business partner objectives and business needs.
• Manipulates and investigates large and complex datasets and formulates data requirements and model specifications needed for development.
• Works closely with business partners and domain experts to identify critical questions.
• Working with domain experts, develops problem definition, analytical approach, and research design for modeling projects.
• Works with business partners, both internal and external, to identify new opportunities and challenges.
• Participates in the selection of research tools and technologies, design of a common research process, and brainstorming new opportunities and methodologies.
• Researches and maintains awareness of industry best practices and business strategies.
• Proactively brings in new and innovative ideas and approaches to develop business.

Qualification

Required

• Demonstrated experience providing customer-driven solutions, support or service.
• Ability to work as part of a team and to communicate effectively.
• Proficiency in programming languages suitable for database access, scripting, and statistical analysis.
• Familiarity with version control for software development.
• Demonstrated experience using large amounts of structured, semi structured, and unstructured data.
• Experience formulating, approaching, analyzing and solving problems on massive datasets.
• Solid knowledge managing data to scale using data summarization, query and analysis software and tools.

Preferred

• Master's degree or higher in Statistics, Machine Learning, Computer Science, Applied Mathematics, Physics or other quantitative discipline.
• Business experience in statistical modeling, data mining, machine learning, artificial intelligence, and applying database queries.
• Knowledge of Machine Learning and Statistical methods and experience applying them to business problems.
• Deploy and maintain real-time model scoring services.
• Ability to extract and clean data from a variety of structured and unstructured sources.
• Solid understanding of best practices in coding, code organization, data transformation, imputation, model selection, evaluation, and tuning.
• Gradient Boosted and Bayesian models.
• GCP or cloud architecture.
• Proficiency in programming in Python and SQL. Knowledge of Go, Java or Scala.
• Knowledge of one version control system (Git).
• Experience working in the insurance industry.