Data Science Project Manager

Job not on LinkedIn

🔥 1 minute ago

🤠 Texas – Remote

🤠 Texas – Remote

💵 $94.7k - $161.3k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

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RealPage, Inc.

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

💼 Consulting

📦 Logistics

📣 Marketing

💰 $18.6M Post-IPO Equity - RealPage on 2022-01

Consulting • Logistics • Marketing

RealPage, Inc. is a provider of property management software and services focused on the rental housing and broader real estate markets. The company offers cloud-based (SaaS) platforms and AI-driven tools for leasing, resident experience, revenue and financial management, utility and sustainability, vendor and spend management, smart building integrations, and analytics—serving multifamily, affordable, student, senior, single-family and commercial property operators. RealPage’s solutions are designed for property management companies, owners, investors and vendors to streamline operations, increase revenue, and improve the resident experience.

📋 Description

• Manage the day-to-day execution of multiple data science and machine learning projects. • Translate business problems and strategic priorities into project scopes, objectives, milestones, deliverables, and success criteria. • Maintain project plans, backlogs, roadmaps, timelines, dependencies, risks, decisions, and action items. • Coordinate work across data scientists, data engineers, software engineers, ML engineers, product managers, and business stakeholders. • Facilitate sprint planning, standups, retrospectives, status reviews, demos, and project working sessions. • Identify blockers, drive resolution, and escalate decisions when necessary. • Ensure project documentation, requirements, assumptions, and decisions are current and accessible. • Provide regular reporting on progress, risks, dependencies, and expected outcomes. • Track requirements for reproducibility, versioning, testing, deployment, monitoring, and documentation. • Coordinate model release readiness, production handoffs, and post-deployment follow-up. • Ensure teams consider data quality, model performance, drift, reliability, security, and support ownership. • Help establish processes for model promotion, retraining, monitoring, incident response, and model retirement. • Create scalable operating processes, templates, dashboards, meeting cadences, and documentation standards for the Data Science organization. • Identify recurring delivery issues and recommend improvements to processes, tools, roles, or decision-making.

🎯 Requirements

• 5+ years of experience in technical project management or related delivery role. • Demonstrated experience managing data science, machine learning, analytics, or other highly technical projects. • Experience coordinating cross-functional teams like Data Science, Engineering, and Product functions. • Ability to understand technical discussions involving data pipelines, experimentation, model evaluation, APIs, deployment, and production support. • Strong project management skills, including planning, prioritization, dependency management, risk management, and status reporting. • Excellent written and verbal communication skills. • Ability to operate effectively with ambiguity and bring structure to complex, evolving work. • Strong attention to detail and follow-through. • Experience working in Agile, Scrum, Kanban, or similar delivery environments. • Hands-on experience using AI in workflows effectively and responsibly. • Strong understanding of the data science and machine learning lifecycle. • Experience with MLOps, ML platforms, or production machine learning systems. • Familiarity with model deployment, model registries, experiment tracking, CI/CD, workflow orchestration, model monitoring, data quality monitoring, and retraining processes. • Familiarity with responsible AI, model risk management, privacy, explainability, bias, or regulatory considerations. • Technical background in data science, computer science, engineering, analytics, mathematics, or a related discipline.

🏖️ Benefits

• Health, dental, and vision insurance. • Retirement savings plan with company match. • Paid time off and holidays. • Professional development opportunities. • Performance-based bonus based on position. • Additional rewards, including annual bonus and sales incentives, depending on the applicable plan, role, and individual performance.