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Category: Data Management Job Type: Contract to hire
Job ID Number: 10308 City/State: Richmond    VA
Job Title: Data Scientist
Job Description: Location: Richmond, VA/ Contract To Hire

The Data Scientist will drive transformational change through machine learning, data analytics, and evidence-supported decision making.

Local Candidates Strongly Preferred
Face To Face Interview Required

Skills Needed:
  • Strategic thinker with natural curiosity and creative thinking

  • Excellent verbal and written communication skills, ability to effectively convey complex concepts to non-analytical people, ability to influence business stakeholders and gain support

  • Ability to work independently and as part of a team

  • Ability to multi-task and manage priorities in a deadline-oriented department

  • Ability to work in a collaborative manner in a team-oriented environment and effectively collaborate with people from multiple functions

  • Demonstrated strong skills with key languages such as SQL, firm understanding of relational databases and data warehouse

  • Experience developing predictive models along with an excellent understanding of data mining, machine learning, and other advanced analytical technique

  • Bachelor or Masters’ degree in computer science, quantitative methods, or statistics required

  • Minimum of 5 years’ experience in advanced analytics required

  • Experience with E&S insurance preferred

Description:
  • This role will be intricately involved in running analytical experiments in a methodical manner and will regularly evaluate alternate models via theoretical approaches.

  • The Data Scientist will work closely with Actuarial, Underwriting, Operations, and technology teams and leaders to develop new ways of using data power to drive business.

  • In this role, the Data Scientist will provide communication and training to ensure integration of new analytical tools and insights into business processes.

  • Continuously exhibit and uphold Core Values of Integrity, Accountability, Communication and Teamwork, Innovation and Customer Service.

  • Collaborate with leadership and business partners to understand company needs and devise possible solutions.

  • Research and develop statistical learning models for data analysis.

  • Mine data, deliver analysis, and design appropriate data products and training to ensure maximum impact.

  • Implement new statistical or other mathematical methodologies as needed for specific models or analysis.

  • Optimize joint development efforts through appropriate database use and project design

For expedited response, please contact Karunish at 804-673-5100 x 37
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