Data Science - Marketing & Revenue Product Manager - (Hybrid)

Since 2012, we've grown to become one of the leading single-family rental companies and homebuilders in the country, recently recognized as a top employer by Fortune and Great Place To Work®.  At AMH, our goal is to simplify the experience of leasing a home through professional management and maintenance support, so our residents can focus on what really matters to them, wherever they are in life.  

The Data Science - Marketing & Revenue Product Manager plans, develops, and executes mid-term complex strategic initiatives with measurable contributions towards the achievement of results for the department that aligns with organization goals and objectives. Researches, designs, builds, and implements analytical solutions using programming, data mining, statistics, machine-learning, and visualization techniques. Writes clean, performant, reusable code to perform, train and deploy models in cloud and on-prem environments. Develops and drives processes of converting use cases into data science solutions, idea generation and execution.
 

Responsibilities:

• Support revenue management leaders to meet their unique needs, document business requirements, and build solutions collaboratively including rent appraisal models, pricing sensitivity schedules, forward vacancy projections and dynamic pricing based on variable lease terms for both new leases and renewals.
• Researches and devises innovative statistical models for revenue management and pricing analysis. Build predictive models, neural networks, and machine-learning algorithms. Combines models through ensemble modeling to arrive at robust conclusions.
• Support the marketing leaders to build leasing metrics and marketing funnel analytics including local area benchmarks, occupancy bridges and absorption metrics.
• Designs and builds data provisioning workflows/pipelines, physical data schemas, extracts, data transformations, and data integrations and/or designs using ETL and microservices to clean, prepare, model, and engineer existing marketing and revenue management data based on business definitions and requirements into data science database for use in internally build or externally licensed pricing software.
• Works with IT department to ensure data is catalogued and organized in the most efficient manner and undertakes preprocessing of structured and unstructured data.
• Manages creation of effective management and executive-level presentations of information, including a storyline, key messaging, graphical representation of data, data visualization techniques, and tailoring to assigned audiences. Communicates cutting-edge approaches to large-scale data analysis and interpretation.

Requirements:

• Bachelor’s degree in computer science, engineering, business analytics, statistics, economics, finance and/or a related field required.
• Master’s degree in computer science, engineering, business analytics, statistics, economics, finance and/or related field preferred.
• Minimum six (6) years of experience in Data Science or Data Analytics function with a focus on anomaly detection and machine learning.  Preferable qualifications include experiences in manipulating data in Apache Spark and/or other advanced data processing/analytical engines, distributed systems, and cloud storage.
• Ability to influence others to accept practices and approaches, and ability to communicate and influence Executive Leadership.
• Advanced proficiency with SQL and Python including packages such as NumPy, Pandas, SK-learn, XGBoost. Experiences of Deep Learning or generative AI are preferred. 
• Familiarity with Azure/AWS infrastructure and support preferred.
• Intermediate knowledge of Microsoft Office (Excel, Word, Outlook. PowerPoint).
• Excellent verbal and written communication, planning, analysis, time management and organizational skills.
• Familiarity with quantitative, math and problem-solving skills.
• Familiarity with statistical and machine learning methods. 
• Willingness and ability to take a proactive leadership role on projects.
• Strong business acumen and ability to interface effectively with the supported team.
• Intermediate experience with other BI tools such as Power BI and Tableau, preferred.
• Create visualizations to effectively communicate project results and findings.
• Ability to listen, analyze and use discretion to make effective decisions.
• Willingness and ability to build relationships with other team members and drive projects forward.
• Ability to manage multiple projects at the same time without compromising attention to detail.
• Adaptability to adapt and pivot with changing environments.
• Advanced understanding of data security best practices.
• Advanced understanding of systems and data integration.
• Critical thinking is