Senior Manager, Data Science
American Homes 4 Rent
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 Senior Manager of Data Science plans, develops, and executes complex strategic initiatives with measurable contributions towards the achievement of department results that aligns with organization goals and objectives. Develops and drives processes of converting use cases into data science solutions, ideation development and execution. Partners with internal stakeholders to automate and optimize reports and implement algorithms into production. Extracts and analyzes data, integrates information from multiple sources, and develops high-quality data pipelines to support the organization's Artificial Intelligence (AI)/Machine Learning (ML) initiatives.
Responsibilities:
+ Researches, designs, builds, and implements analytical solutions using programming, data mining, statistics, ML, and visualization techniques. Understands complex analytical issues through discussion with key internal stakeholders and/or operational management service lines. Constructs analytic datasets using SQL and Databricks, builds and deploys ML models, and communicates findings through presentations and dashboards. Writes clean, performant, reusable code to perform, train and deploy models in cloud and on-prem environments.
+ Partners with internal customers and business leaders to understand their unique needs, document business requirements, and manage team members to help support objectives and efficiencies. Participates and leads peer development and code reviews with focus on test driven development and Continuous Integration and Continuous Development (CICD).
+ Assists in the development of innovative statistical models for data analysis. Contributes towards the building of predictive models, neural networks, and ML algorithms. Combines models through ensemble modeling.
+ Analyzes large amounts of information to discover trends and patterns. Determines effectiveness and recommends necessary changes to improve profitability and/or key objectives.
+ Collaborates closely with business stakeholders, data engineers, analysts, and information technology to understand business requirements and ensure that data solutions meet the needs of the organization.
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 to eight (6-8) years of experience in Data Science or Data Analytics function with a focus on machine learning, deep learning and manipulating data in Databricks and/or other advanced data processing/analytical engines, distributed systems, and cloud storage
+ Minimum of three (3) years of Experience in python and SQL programming
+ Minimum two (2) years of leadership experience managing a team with direct reports
+ Experience mentoring a team of Data Scientists to allow for skill/knowledge development through advice, coaching, career planning and training opportunities
+ Experience in Machine Learning (ML) and ML Pipeline
+ Hands-on experience with Databricks, Spark, Fabric, or similar technologies
+ Intermediate knowledge of Microsoft Office (Excel, Word, Outlook. PowerPoint)
+ Familiarity with Azure infrastructure and support preferred
+ Familiarity with TensorFlow/Keras preferred
+ Excellent verbal and written communication, planning, analysis and organizing skills
+ Advanced proficiency with SQL, R and Python including packages such as NumPy, Pandas, Sklearn, XGBoost, Deep Learning
+ Advanced quantitative, math and problem-solving skills
+ Advanced statistical and machine learning methods
+ Excellent critical thinking and problem-solving skills and a willingness to overcome obstacles when faced with novel demands
+ Willingness and ability to take a proactive leadership role on projects
+ Strong business acumen and ability to interface effectively with executive management
+ Create visualizations to effectively communicate project results and findings using Tableau or Power Bi
+ 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
In the states of Colorado, California, Washington, and Illinois; the anticipated pay range/scale for this position is $124,486 - $161,860. Actual starting base pay within this range will depend on factors including geographic location, education, training, skills, and relevant experience.
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.
Background check required. AMH will consider for employment qualified applicants with arrest or conviction records in accordance with all applicable federal, state and local laws, which may include the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
Build your career with us:
At AMH, we know what it takes to feel at home. That’s not just our product; it’s also our culture. We work to maintain a people-first culture of trust, belonging, and inclusion, where our employees are empowered to collaborate and take initiative. If you’re ready to elevate your career, we hope you'll consider making your home with us. Apply today and a member of our Talent Acquisition team will reach out soon! To learn more about our workplace, please visit amh.com/careers.
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/
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