Responsibilities

• Collaborate with measurement, product and sales teams to develop and implement measurement and analytical strategies that drive revenue growth.
• Leverage internal and external data sources to build visualizations and reporting to inform the business and measurement strategies.
• Tracking and reporting of advertiser performance metrics to support and grow adoption of measurement solutions. Build dashboards with advanced functionality.
• Use campaign and business outcomes data, apply statistical models and methodologies to explain the drivers of upper and lower funnel metrics.
• Design and testing of bidding, targeting, and optimisation methods to support new product and feature development.
• Build prototype models, solutions, applications using tools such as Python and R that can be leveraged by the measurement teams to understand drivers of campaign performance at scale.
• Provide actionable insights and recommendations to sales and measurement teams to optimize ad campaigns and improve ROI.
• Conduct training and education for measurement teams on using reporting, dashboarding and analytical solutions.
• Stay up-to-date with industry trends, best practices, and new measurement methodologies to continuously improve our measurement capabilities.

Requirements

• 5+ years of experience in analytics and digital advertising from large marketing-related organizations or measurement suppliers
• Bachelor's degree in a quantitative field (e.g., Statistics, Data Science, Analytics, Mathematics, Economics or Computer Science).
• Proven experience in Data Science, Data Analysis, Measurement or a related field. Understanding of experimentation (conversion lift or geo-lift), attribution (last or multi-touch) and modeling solutions (marketing mix modeling) key to the role.
• Experience using SQL, Python/R and visualization solutions on a consistent basis in professional environments.
• Hands on experience conducting advanced analysis using methods such as regression, decision trees, random forests etc. Portfolio of applications built using these methods in Python or R.
• Strong problem-solving skills, with the ability to interpret complex data sets and communicate insights effectively.

Preferred

• PhD in Statistics or Data Science fields
• Experience working in Data Science teams at technology companies working on marketing and media topics.
• Familiarity with privacy-first innovation for marketing measurement systems

Benefits

• Benefits may vary depending on the nature of employment and the country work location.
• Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others.
• Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
• The Company reserves the right to modify or change these benefits programs at any time, with or without notice.