Manager, Applied Data Science

AppFolio

. Lead Data Scientists building AppFolio’s AI and machine learning products for business teams .

Posted 11/6/2026full-timeUnited StatesSeniorLead💰 $167,200 - $209,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building and deploying predictive models, leading data science teams, and driving AI/ML initiatives. Proficient in Python, SQL, and cloud data warehousing, with a strong focus on model quality, risk management, and cross-functional collaboration.

Highest-signal resume keywords

Predictive Model DevelopmentTeam LeadershipPython ProgrammingSQL ProficiencyCloud Data Warehousing

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Predictive ModelingClassification ModelsPropensity ModelsExperimental DesignData Analysis

Soft Skills

CommunicationCoachingPrioritizationCollaboration

Tools & Technologies

SnowflakeDbtAirflowSalesforce

Industry Keywords

AI ProductsMachine LearningData ScienceBusiness StakeholdersCross-Functional Collaboration

Tech Stack

Tools & technologies

AirflowCloudPythonSnowflakeSQL

About the role

Key responsibilities & impact

Lead Data Scientists building AppFolio’s AI and machine learning products for business teams
Own signal modeling and scoring logic across AppFolio products
Co-create the Next Best Action layer that provides ranked recommendations per account persona for go-to-market teams
Own shared data science services, forecasting automations, and agentic data access
Partner with business teams to drive adoption and explainability
Own Cerberus model-fleet coding standards, review gates, deployment, monitoring, retraining, and governed Data Mart outputs
Ensure required access controls and audit logging
Review every team pull request and deliverable
Own the quality and risk of models, analyses, recommendations, and automations
Coordinate delivery and priorities with Sales, Marketing, Customer Success, and Finance leaders
Represent Data Science & Analytics on cross-functional working groups
Run the team’s operating rhythm to deliver urgent requests and roadmap work
Set the direction for applied AI/ML with department leadership
Manage and grow Data Scientists through 1:1s, coaching, performance reviews, hiring, and individual growth paths
Initially build alongside the team, then shift toward directing the work

Requirements

What you’ll need

Bachelor’s degree in a STEM field
8+ years building and deploying predictive models in production for business stakeholders, including sales, marketing, or customer success teams
2+ years leading data scientists as a people manager or technical lead
Strong programming background; Python and SQL required
Experience taking models from raw tables to production
Experience developing, deploying, monitoring, and retraining classification and propensity models end to end
Experimental design fundamentals, including holdouts, control groups, power, and honest measurement of incremental lift
Experience building and evaluating LLM-based products in production, such as agents or natural-language analytics
Experience with accuracy and coverage checks that gate LLM product use
Experience with a cloud data warehouse such as Snowflake, dbt, an orchestration framework such as Airflow, version control, and CRM data such as Salesforce
Record of setting priorities with senior leadership, turning ambiguous questions into repeatable models, communicating actionable recommendations, and declining unsupported requests

Benefits

Comp & perks

Benefits eligibility for regular full-time employees
Equity
Bonuses/commissions eligibility based on role and/or employment type
Growth opportunities and compelling total rewards
Coaching and mentorship
Time and tools to develop skills
Hybrid work environment that is flexible, personal and connected
Inclusive and accessible candidate experience
Reasonable accommodations during the application or interview process