Senior Strategist, Scams and Verification Trust and Safety

Apigee; Seattle (WA); On-site; USD 110,000 - 160,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

401(k) with company match

Paid time off

Sick time

Maternity leave

Baby bonding leave

Holidays

Job summary

Apigee is seeking a data analytics professional in Seattle, WA to join our Trust and Safety team. You should have a Bachelor's degree (or equivalent) and at least 4 years in data analytics, policy, risk analysis, or related fields, with strong SQL skills.

Preferred candidates hold a Master's in CS/Engineering/Math, and experience with Python or Java, fraud/policy investigations, and machine learning related work in advertising or e-commerce contexts.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 4 years of experience in data analytics, trust and safety, policy, risk analysis, or related fields.
• Experience in SQL.

Skills

Data analytics

Policy analysis

Risk analysis

SQL

Python

Java

Fraud investigations

Advertising knowledge

Education

Bachelor's degree or equivalent

Master's degree preferred

Tools

SQL

Job description

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

• Health, dental, vision, life, disability insurance
• Retirement Benefits: 401(k) with company match
• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
• Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 4 years of experience in data analytics, trust and safety, policy, risk analysis, or related fields.
• Experience in SQL.

Preferred qualifications:

• Master's degree in Computer Science, Engineering, Mathematics, Statistics, or Analysis, or a related technical field.
• Experience with scripting and coding (e.g., Python, Java).
• Experience with fraud or policy investigations, fraud risk management, Internet advertising, or e-commerce.
• Experience in roles related to business analysis or statistical analysis/machine learning.
• Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.