Data Scientist I

Jewelers Mutual

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profile Job Location:

Raleigh, WV - USA

profile Monthly Salary: Not Disclosed
Posted on: 2 days ago
Vacancies: 1 Vacancy

Department:

Analytics

Job Summary

Summary

As a Data Scientist I at Jewelers Mutual you will be part of a dynamic team responsible for analyzing large datasets to derive actionable insights. You will leverage behavioral product and/or business data to understand and predict customer behavior. You will also collaborate closely with cross-functional teams to understand complex data needs and help drive business decisions. This role offers an exciting opportunity to apply your analytical skills and contribute to the success of cutting-edge projects.

What Youll Be Doing

  • Develop predictive models and algorithms to address business challenges and opportunities.
  • Leverage behavioral analytics data to enhance existing models and drive data-informed decision-making.
  • Explore new data and review clean and transform data as needed to support modeling analysis and data visualization.
  • Work closely with business stakeholders to understand their goals and formulate data-driven solutions.
  • Interpret and communicate insights and findings from analyses to stakeholders.
  • Collaborate with business stakeholders to support the introduction of new products enhancements to existing products (forms rates rules) and/or entry into new markets to reach company profit and growth targets.
  • Serve as product expert supporting corporate actions and operational initiatives.
  • Monitor overall product performance on Jewelers Mutual book of business and communicate findings to key stakeholders.
  • Work on complex problems/projects where analysis of situations or data requires an in-depth evaluation of multiple factors.
  • Utilize JM Group or authorized third-party data to perform statistical analysis and data mining to understand current and historical patterns that can be utilized to improve business performance

Physical Requirements

  • Prolonged periods sitting at a desk and working on a computer.
  • Occasionally required to stand; walk; use hands to finger handle or touch objects or controls; and talk or hear.

To perform this job successfully an individual must be able to perform each essential duty satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

What Youll Bring

  • Bachelors degree in Business Statistics Mathematics Economics or a related quantitative field.
  • Experience with Python and/or R as it relates to data manipulation and analysis.
  • Experience with statistical methods and concepts such as hypothesis testing regression analysis and probability theory.
  • Experience with SQL Power BI and/or other query/reporting skills
  • Analytical and problem-solving skills with the ability to translate complex data into actionable insights.
  • Effective communication skills with the ability to present technical concepts to non-technical audiences.

What We Offer You

  • Competitive Compensation & Benefits: Includes performance bonuses generous paid time off and a top-tier retirement program with 401(k) matching and additional company contributions.
  • Collaborative Culture: Work alongside talented passionate peers who value ownership and continuous learning.
  • Community & Giving: Benefit from 50% charitable gift matching and paid volunteer time to support nonprofit causes.
  • Great Place to Work Certified: Join a team recognized for an environment of innovation and growth.

Required Experience:

IC

SummaryAs a Data Scientist I at Jewelers Mutual you will be part of a dynamic team responsible for analyzing large datasets to derive actionable insights. You will leverage behavioral product and/or business data to understand and predict customer behavior. You will also collaborate closely with cro...
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Key Skills

  • Laboratory Experience
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  • Machine Learning
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  • Research Experience
  • Spectroscopy
  • Research & Development
  • cGMP
  • Cell Culture
  • Molecular Biology
  • Data Analysis Skills

About Company

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