Experimentation Data Scientist for Personalization

FanDuel; New York (NY); Hybrid; USD 98,000 - 122,000; Full time

Benefits offered by this job

Health plans

401k with 5% match

Paid time off

Pet insurance

Job summary

FanDuel in New York is looking for a Data Scientist to join their Generosity Experimentation team. The role involves designing and analyzing experiments that enhance retention and loyalty strategies. Key responsibilities include collaborating with marketing to optimize personalization efforts and driving a culture of experimentation across teams.

Preferred candidates will have a Bachelor's in a quantitative field and at least one year of relevant experience. FanDuel offers excellent benefits, including health plans and paid time off.

Qualifications

• 1+ years of experience in a data science or analytics role.
• Experience with experimental design and A/B testing.
• Strong understanding of commercial acumen and business principles.

Responsibilities

• Partner with marketing teams to design and analyze experiments.
• Introduce advanced statistical techniques for data analysis.
• Drive a culture of experimentation across the organization.

Skills

Experience in data science or analytics

Advanced SQL skills

Statistical programming (Python, R, SAS)

Strong problem-solving skills

Ability to present to stakeholders

Education

Bachelor’s degree in quantitative field

Master’s degree preferred

Tools

Statistical analysis tools

SQL database management

Job description

FanDuel in New York is looking for a Data Scientist to join their Generosity Experimentation team. The role involves designing and analyzing experiments that enhance retention and loyalty strategies. Key responsibilities include collaborating with marketing to optimize personalization efforts and driving a culture of experimentation across teams.

Preferred candidates will have a Bachelor's in a quantitative field and at least one year of relevant experience. FanDuel offers excellent benefits, including health plans and paid time off.