Staff Data Scientist

• Develop data-driven insights to drive marketing decisions and improve business outcomes.
• Utilize models and develop advanced experimentation methods, such as synthetic controls, propensity score matching techniques etc. to measure marketing's impact across our suite of products.
• Utilize time-series forecasting models to predict growth and set the right growth goals, and develop frameworks to implement marketing attribution models.
• Design, launch, and analyze experiments to understand the incrementality of different messaging and creative campaigns.
• Design measurement approach and identify flaws in experiment practices and results, especially in 3P environments.
• Collaborate with marketing, product, and engineering teams to identify insights and guide new campaign and growth roadmaps.
• Manage data integration and engineering with marketing technology platforms for data hygiene, segmentation, and targeting.
• Partner with cross-functional teams to initiate, lead, or contribute to large-scale/complex strategic projects
• Act as a thought partner to senior leaders to prioritize/scope projects, provide recommendations, and evangelize data-driven business decisions in support of strategic goals.
• Optimize our marketing efforts and enable customer retention through push campaigns and other organic avenues
• Apply expertise in data mining and data presentation, as well as knowledge of marketing channels and platforms, to identify opportunities.

Wünschenswerte Fähigkeiten

• Data Science
• Automation
• Data Mining

• Mountain View, California

Berufserfahrung

• Data Scientist
• Business Intelligence
• Data Engineer

Sprachkenntnisse

• English