Senior Data Scientist

The Senior Data Scientist is responsible for developing advanced analytical and machine-learning solutions to optimize user engagement and retention in our mobile applications. The Senior Data Scientist will work closely with product managers, engineers, and other stakeholders to drive data-driven decision-making and deliver insights that enhance the user experience. The Senior Data Scientist provides data solutions that equip teams and ministries to further Life.

Church’s mission and to reach people for Christ.

You Version was created by the local church in 2007 and remains a ministry of Life.

Church today. rch, our mission is to lead people to become fully devoted followers of Christ. Our team is committed to reaching people worldwide through innovative technology. And You Version is one of the ways we get to do that. Life.

Church is a multi-site Christian church meeting in the United States and globally rch Online.

• Analyze large-scale datasets in Big Query 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.
• Develop models for churn prediction, lifetime value estimation, and user segmentation to inform product and marketing strategies.
• Leverage Big Query 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 Big Query, 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 Big Query usage.
• Lead cross-functional data projects, ensuring alignment on goals, methodology, and timelines.
• Stay updated with industry trends and new technologies, sharing relevant knowledge with the team and encouraging innovation.

• Ability to self-motivate, make independent decisions, and solve problems with innovation.
• Effective at multitasking and time management to meet strict deadlines while remaining flexible and open to change.
• Excellent verbal, written, and interpersonal communication skills to clearly explain complicated processes and foster partnerships.
• Effective at process and organizational management to coordinate, structure, and provide vision to projects.
• Strong leadership skills and understanding of developing and guiding others.
• A strong background in data science, experience with mobile app analytics, and expertise in leveraging Google Big Query for large-scale data processing and analysis.
• Proficiency in Python or R for data analysis, modeling, and machine learning.
• Familiarity with data visualization tools like Google Data Studio, Tableau, or Looker to create dashboards and reports.
• Strong understanding of mobile app analytics, including metrics for user engagement, retention, and funnel analysis.
• Experience with app tracking frameworks and attribution…