Data Scientist (Hybrid) (New Grad & Entry Level) (Boston) Job at Jobright.ai, Boston, MA

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  • Jobright.ai
  • Boston, MA

Job Description

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

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

3 days ago Be among the first 25 applicants

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.

Seniority level

  • Seniority level

    Entry level

Employment type

  • Employment type

    Full-time

Job function

  • Industries

    Software Development

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Medical insurance

Vision insurance

401(k)

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Job Tags

Full time,

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