Senior Data Scientist Job at Life.Church (Edmond)

Senior Data Scientist

Life.Church

Location:
United States , Edmond

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

Save Job

Apply Position

Job Description:

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 Scientists provides data solutions that equip teams and ministries to further Life.Church’s mission and to reach people for Christ.

Job Responsibility:

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
Develop models for churn prediction, lifetime value estimation, and user segmentation to inform product and marketing strategies
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
Stay updated with industry trends and new technologies, sharing relevant knowledge with the team and encouraging innovation

Requirements:

Ability to self-motivate, make independent decisions, and solve problems with innovation
Effective at multi-tasking 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 BigQuery 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 preferred
Experience with app tracking frameworks and attribution tools(e.g., Firebase, Adjust, AppsFlyer) preferred
Knowledge of statistical techniques for experiment design and analysis preferred(e.g., causal inference, propensity score matching)
Familiarity with app store optimization(ASO) and mobile marketing analytics preferred
Master’s degree or Ph. D. in Data Science, Statistics, Computer Science, Applied Mathematics, or a related field
5+ years of experience in data science or analytics, with at least 2 years in the mobile app industry
Advanced proficiency in Google BigQuery, including SQL query optimization, data processing, and BigQuery ML for machine learning
Experience with machine learning algorithms for classification, regression, clustering, and time series analysis

Nice to have:

Strong understanding of mobile app analytics, including metrics for user engagement, retention, and funnel analysis
Experience with app tracking frameworks and attribution tools(e.g., Firebase, Adjust, AppsFlyer)
Knowledge of statistical techniques for experiment design and analysis(e.g., causal inference, propensity score matching)
Familiarity with app store optimization(ASO) and mobile marketing analytics

What we offer:

Paid parental leave, including maternity, paternity, and adoption leave
Generous employer-paid leave for the use of vacation, sick time, and other qualifying reasons
Innovative and comprehensive Medical, Dental, and Vision insurance that provides team members with useful resources and savings to navigate their holistic health
Life insurance policy provided for all staff members at 2x annual salary at no cost. Additional life insurance coverage is available to purchase
Short-Term and Long-Term disability is covered at 100% for full-time qualified staff members
Comprehensive wellness and mental health benefits allow staff to proactively invest in their physical and emotional health
Generous 401(k) retirement plan allowing a team member to have up to 12.5%(including employee contribution, employer match, and employer discretionary contribution) contributed into their account in their first year
$160 annually in development dollars for team members to invest in their professional growth
Casual dress and work environment

Additional Information:

Job Posted:
February 18, 2026

Employment Type:

Fulltime

Work Type:

On-site work

Life.Church - All Job Offers

Job Link Share: