Description

Hi, We’re AppFolio

 

We’re innovators, changemakers, and collaborators. We’re more than just a software company – we’re pioneers in cloud and AI who deliver magical experiences that make our customers’ lives easier. We’re revolutionizing how people do business in the real estate industry, and we want your ideas, enthusiasm, and passion to help us keep innovating.

 

We're looking for an experienced Data Scientist with a strong background in machine learning, data analysis, and software engineering to automate and optimize risk detection processes for online transactions.

 

Your impact Develop and implement advanced risk detection and fraud prevention systemsCollaborate with Payments cross-functional partners to understand business needs and define key risk indicatorsIdentify and surface variables that uncover risky behavior on the platformPrototype, deploy, and maintain machine learning models for real-time fraud detectionIntegrate detection algorithms into existing internal tools and workflowsConduct ongoing research into emerging fraud techniques and adapt strategies accordinglyContinuously monitor and optimize system performance to ensure effectiveness against evolving criminal strategiesDevelop comprehensive monitoring and analytical reporting solutionsWork closely with Risk and Fraud teams to understand emerging trends and reporting needsCreate tools for monitoring data outliers and trend shiftsDesign and implement dashboards to visualize/investigate customer transaction patterns, account activity, and platform usageDevelop automated anomaly detection systems to flag unusual behaviorBuild and maintain data pipelines to support real-time reporting and alertingCollaborate across teams to analyze and communicate the holistic impact of risk and fraud on the payments businessDevelop customer risk profiles for appropriate transaction handling and approval processesPartner with product and business scientists/analysts to quantify fraud's effect on key metrics like customer retention, transaction volume, and revenueAssist in creation of comprehensive dashboards linking fraud patterns to overall business performanceConduct cross-functional analyses on how fraud detection strategy changes affect various business areasContribute to strategic planning sessions, aligning fraud prevention initiatives with broader business goalsContribute to overall Data Science and Analytics infrastructure:Develop reusable code libraries and modeling frameworks to support data apps, pipelines, and models across domainsImplement best practices for version control, documentation, and reproducibilityCollaborate on building scalable data assets that support both Payments and broader analytics needsParticipate in knowledge sharing sessions to elevate the team's collective capabilities in rapidly evolving data science technologies and techniques

Qualifications Technical skills – should be able to research and implement various advanced analytical techniques needed to manage and scale our Risk & Fraud teams. Candidates should not only have the mathematical background to understand the pros and cons of various techniques, but also the engineering prowess to deploy and manage these models. Business acumen – understands key challenges facing our business and partners with key stakeholders to find creative ways to apply data science to solve them; connects dots between data & business outcomesAttention to detail – appropriately checks all work for errors and does not let important details slip when it comes to data and its accuracyCreative problem solving - able to use creativity and curiosity as tools to pick apart any problem, producing a solution which is relevant and realisticEfficiency – able to quickly iterate on data generation and refinement. Looks for ways to improve processes to maximize efficiency and remove redundancyCuriosity - always striving to learn more, keeping up to date with the latest tools and techniques being applied in industry.

 

Must haveBachelor’s Degree in a STEM field and minimum 4-6 years experience in a related fieldStrong programming background (Python, SQL, R, etc.)Experience working with real-time payments/transactional dataExperience developing, deploying, and monitoring machine learning modelsExperience creating, managing, and scaling data pipelines for reporting purposesExperience using cloud-based technologies and working in collaborative environments with version control Listening and interpersonal skills; ability to support, work, and communicate with cross functional partners in both technical and business termsHighly self-motivated and directedProven analytical and creative problem-solving abilitiesAbility to effectively prioritize and execute tasks in a high-pressure environment 

 

Nice to HaveExperience in risk or anomaly assessment/detectionExperience using dbt (data build tool)Experience using orchestration tools such as Airflow, Luigi, Dagster, etc.Interest/knowledge working with LLMsExperience as a mentor or tech lead on an analytics teamCompensation & BenefitsThe base salary/hourly wage that we reasonably expect to pay for this role is: $127,000-$170,000The actual base salary/hourly wage for this role will be determined by a variety of factors, including but not limited to: the candidate’s skills, education, experience, etc. Please note that base pay is one important aspect of a compelling Total Rewards package. The base pay range indicated here does not include any additional benefits or bonuses/commissions that you may be eligible for based on your role and/or employment type.

Regular full-time employees are eligible for benefits - see here.

#LI-KB1

 

Why AppFolio

Grow | We enable a culture of high performance, where delivering results is recognized by opportunities for growth and compelling total rewards. Our challenging and meaningful work drive the growth of our business, and ourselves.

Learn | We partner with you to realize your potential by investing in you from the start. We're cultivating a team of big thinkers through coaching and mentorship with our best-in-class leaders, and giving you the time and tools to develop your skills.

Impact | We are creating a world where living in, investing in, managing, and supporting communities feels magical and effortless, freeing people to thrive. We do this by innovating with purpose while cultivating a culture of impact. We learn as much from each other as we do our customers and our communities.

Connect | We excel at hybrid work by fostering an environment that feels flexible, personal and connected, no matter where we are. We create space to fuel innovation and collaboration, and we come together to celebrate, connect, and succeed.

Paddle as One.

Learn more at appfolio.com/company/careers

Statement of Equal Opportunity

At AppFolio, we value diversity in backgrounds and perspectives and depend on it to drive our innovative culture. That’s why we’re a proud Equal Opportunity Employer, and we believe that our products, our teams, and our business are stronger because of it. This means that no matter what race, color, religion, sex, sexual orientation, gender identification, national origin, age, marital status, ancestry, physical or mental disability, or veteran status, you’re always welcome at AppFolio.