Head of Analytics leading strategies for Customer Care and Shipping Analytics at Back Market. Focused on elevating customer satisfaction and operational efficiency through data - driven insights.
About the role
- Data Scientist supporting marketing efforts to optimize strategies and drive revenue growth for Pinterest. Leading statistical modeling and marketing measurement processes across cross-functional teams.
Responsibilities
- Lead the design, implementation, and continuous improvement of advanced marketing measurement frameworks and statistical models to quantify marketing ROI.
- Build and deploy statistical and machine learning models such as propensity, forecasting, and lifetime value (LTV) models—to optimize marketing strategies and enhance audience targeting.
- Develop and refine attribution methodologies to evaluate the effectiveness of marketing initiatives across multiple channels.
- Assess the incremental impact of marketing activities using causal inference techniques and testing/experiment frameworks.
- Conduct deep, strategic analyses to address key business questions, such as how to improve marketing ROI, how to improve marketing budget allocation to optimize the business impact, measuring the impact of marketing in both mature and new markets, identifying opportunities to increase advertiser growth and revenue through marketing initiatives.
- Translate complex analytical findings into clear, actionable insights and strategic recommendations for both technical and non-technical stakeholders, including senior leadership.
- Design, maintain, and promote dashboards and automated reporting tools to empower stakeholders with self-serve, data-driven decision-making capabilities. Build and optimize ETL data pipelines to automate reporting, support deep dive analysis and feature engineering for analytical models.
Requirements
- 5+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems.
- Masters degree in a quantitative field such as mathematics, statistics, computer science or engineering.
- Hands-on experiences with building marketing measurement solutions to quantify the business impact of marketing tactics and investments.
- Strong background in statistics and quantitative analysis, with experience in applying advanced statistical techniques to real-world problems.
- Expertise in at least one scripting language (ideally Python/R). Proficiency in SQL/Hive. Ability to write efficient SQL queries.
- Strong business and product sense. Strong skills in shaping vague questions into well-defined analyses and success metrics that drive business decisions.
- Excellent communication skills, able to lead initiatives and communicate findings to the leadership and cross-functional teams. Explains work and thought processes clearly and concisely.
- Experience leading key technical projects.
- Strong Experimentation background.
- Statistical rigor. Experience with causal inference projects.
Benefits
- Information regarding the culture at Pinterest and benefits available for this position can be found here.
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Data Scientist at Assembly building and automating media intelligence models. Collaborating with consultancy leadership to define analytical approaches to business challenges.
Senior Data Scientist focusing on ML systems for Walmart's Trust and Safety. Collaborating on compliance models and overseeing the full model lifecycle.
Head of Data leading development and execution of data strategy at Verity. Mentoring a team to deliver insights and drive business growth while collaborating with multiple departments.
Senior Data Scientist responsible for credit modeling at Clair, utilizing machine learning to assess risk and optimize decisions. Collaborating with cross - functional teams and deploying models in production environments.
Senior Product Manager responsible for transforming user needs into scalable products for Seyna. Collaborating with internal teams to enhance insurance programs and streamline workflows.
Founding AI Data Scientist helping Grand build core AI and data systems for decision - making. Collaborating with teams to leverage complex data for impactful AI solutions.
Data Scientist responsible for AI model development and deployment across client projects. Building reliable AI applications ensuring client success and operational excellence.
Data Science Senior Consultant at Squarcle advising on data science and digital challenges. Collaborating with clients to enhance business efficiency and profitability through data - driven strategies.
Head of Analytics leading company's analytics function in a B2C AI education company. Focused on data - driven decision - making and collaboration with Product, Marketing, and Engineering teams.