Data Insights Leader
3 days ago
We are seeking a highly skilled Senior Data Scientist to join our team at Life.Church. As a Senior Data Scientist, you will be responsible for developing advanced analytical and machine-learning solutions to optimize user engagement and retention in our mobile applications.
The ideal candidate will have a strong background in data science, experience with mobile app analytics, and expertise in leveraging Google BigQuery for large-scale data processing and analysis.
We are a multi-site Christian church meeting in the United States and globally at Life.Church Online. Our mission is to lead people to become fully devoted followers of Christ.
Key Responsibilities:
- Analyze large-scale datasets in BigQuery to extract actionable insights on user behavior, engagement, and app performance.
- Develop metrics and KPIs to track user acquisition, retention, and in-app behaviors across multiple apps.
- Conduct funnel analysis, cohort analysis, and segmentation studies to understand user journeys and identify growth opportunities.
- Design, build, and deploy predictive models to enhance app personalization, recommend content, and improve ad targeting.
- Leverage BigQuery ML and other cloud-based machine learning tools to streamline the modeling process within the Google ecosystem.
- Design and analyze A/B tests to evaluate the impact of new features, UX changes, and marketing strategies on user engagement and retention.
- Implement statistical methods to assess test results, including sample size calculation, significance testing, and post-test analysis.
- Document and share best practices for experimentation with cross-functional teams.
- Work closely with data engineers to build, optimize, and maintain ETL pipelines in BigQuery, ensuring data availability and accuracy.
- Define and implement data quality checks and standardization procedures for mobile app data.
- Advocate for data infrastructure improvements and guide the design of efficient data pipelines.
- Develop interactive dashboards and visualizations in tools such as Tableau, or Looker to present insights to product, marketing, and engineering teams.
- Translate complex data insights into clear, actionable recommendations for both technical and non-technical stakeholders.
- Present findings regularly to senior leadership, providing strategic guidance based on data-driven insights.
- Mentor junior data scientists and analysts, providing guidance on best practices in data science, mobile app analytics, and BigQuery usage.
- Lead cross-functional data projects, ensuring alignment on goals, methodology, and timelines.
We offer a comprehensive benefits package, including paid parental leave, generous employer-paid leave, innovative medical insurance, life insurance, disability coverage, and a 401(k) retirement plan.
Additionally, we provide $160 annually in development dollars for team members to invest in their professional growth.
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