Job Details

Data Scientist

New York, NY | Full time

Job ID:

0101-02DS

Duration:

Long Term

Experience:

5-7 years

Career Level:

Senior Level

Compensation:

DOE

Industry:

Broadcast Media

Job Description

Job Responsibilities:

  • Develop robust predictive models to enhance our pricing and underwriting capabilities, among other applications (e.g. operational efficiency, marketing, etc), with the goal of improving profitability.
  • Thoughtfully identify and construct predictive variables from both internal and external data sources. Lead efforts to solve data challenges and improve variable performance.
  • Work closely with product management during model builds to inject business insights into variable and model design, as well as interpret model results, in order to ensure we’re building best in class models and ones that will be bought into by business partners.
  • Identify and communicate key findings to product management and other business partners via presentations and written communications.
  • Create and maintain documentation associated with the programs and models developed in order to facilitate training of other staff members and keep records of the decision making process.
  • Provide support to the Model Implementation team on topics related to model development, including assistance with regulatory requests and documentation of pertinent data issues.
  • Assist in the development of junior staff members by providing necessary training and acting as a resource for their inquiries.

Required Skills and Experience:

If background is in statistical modeling, at least five years of experience in building predictive models in support of specific business initiatives; graduate degree in related field preferred.

· If the candidate’s background is in Actuarial, the candidate should have at least 5 years of related experience, at least five actuarial exams (ACAS preferred), and should have a strong grasp of advanced actuarial techniques.

· A basic understanding of regression modeling and/or a strong interest in statistical modeling, data mining, and other related fields is required.

· Practical experience using statistical techniques and building predictive models is considered a plus, but not mandatory.

· Experience in personal lines is considered a plus, but not mandatory.

· Strong programming skills, preferably in a statistical software package (e.g., SAS, SQL, R, Python), is a significant plus.

· Ability to work productively on an interdisciplinary team through highly technical projects, as well as establish strong relationships and credibility with business partners.

· Excellent oral and written communication skills, as well as time management skills to meet scheduled due dates.

· Graduate degree in related field preferred.