Data Science - Marketing & Revenue Product Manager - (Hybrid)
Calabasas, CA, United States
Full Time Mid-level / Intermediate USD 120K - 172K
AMH
AMH Homes offers welcoming rental homes that have been renovated and maintained to our Certified Property standards. Our local in-house management professionals provide industry-leading service and utilize our enhanced technology to deliver a...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.
- 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 a must. Problem solving skills with the ability to look for root causes and implementable, workable solutions, as well as process improvement ability.
- Proven ability to perform high quality technical documentation and presentations.
For positions that are permitted or required to work remotely, employees may conduct work only within the United States and only in states where the Company is already conducting business, unless for brief periods, consistent with Company policy.
In the states of Colorado, California, Washington, and Illinois; the anticipated pay range/scale for this position is $120,639 to $172,499. Actual starting base pay within this range will depend on factors including geographic location, education, training, skills, and relevant experience.
- Position is also eligible to receive a discretionary bonus.
Employees also have the opportunity to participate in medical, dental and vision insurance; flexible spending accounts and/or health savings accounts; dependent savings accounts; 401(k) with company matching contributions; employee stock purchase plan; and, a tuition reimbursement program. The Company provides 9 paid holidays per year and, upon hire, new employees will accrue paid time off (PTO) at a rate of 0.0577 hours of PTO per hour worked, up to a maximum of 120 hours per year.
CA Privacy Notice: To learn more about what information we collect when you apply for a job, and how we use that information, please see our CA Job Applicant Privacy Notice found at http://employeeprivacy.amh.com/
*Applications will be accepted for a period of not less than 48 hours from the posting date
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Tags: AWS Azure Business Analytics Computer Science Data analysis Data Analytics Data Mining Data visualization Deep Learning Distributed Systems Economics Engineering ETL Excel Finance Generative AI Machine Learning Mathematics Microservices NumPy Pandas Pipelines Power BI Privacy Python Security Spark SQL Statistics Tableau Unstructured data XGBoost
Perks/benefits: Flex hours Flex vacation Health care Salary bonus
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