Remote Data Science Project Manager

RealPage

Town of Texas (WI)

Remote

USD 95,000 - 161,000

Full time

14 days+

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Benefits offered by this job

Health, dental, and vision insurance
Retirement savings plan with company 

Paid time off and holidays
Professional development opportunities
Performance-based bonus

Job summary

RealPage is seeking a Data Science Project Manager to serve as the connective layer across Data Science, Data Engineering, Software Engineering, Product, Operations, and business stakeholders. You will bring structure, visibility, and execution discipline to the Data Science lifecycle from problem definition to deployment and continuous improvement.

The role requires direct experience managing data science or ML projects in a fast-moving, technical environment, with a focus on turning complex

Qualifications

  • 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, & Product functions.
  • Ability to understand technical discussions involving data pipelines, experimentation, 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 on how to use AI in workflows effectively and responsibly.

Responsibilities

  • Data Science Project Execution: Manage the day-to-day execution of multiple data science and machine learning projects.
  • Help translate business problems and strategic priorities into clear 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 early, drive resolution, and elevate decisions when necessary.
  • Ensure that project documentation, requirements, assumptions, and decisions are current and accessible.
  • Provide concise, regular reporting on progress, risks, dependencies, and expected outcomes.
  • MLOps and Production Readiness: Track 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 repeatable processes for model promotion, retraining, monitoring, incident response, and model retirement.
  • Process Improvement and Operating Rhythm: Help create lightweight, scalable operating processes for the Data Science organization.
  • Develop templates, dashboards, meeting cadences, and documentation standards that improve team effectiveness.
  • Identify recurring delivery issues and recommend improvements to processes, tools, roles, or decision-making.

Skills

Technical PM
Data Science
Cross-functional leadership
Agile methods
Communication skills
Ambiguity management
AI workflows

Job description

RealPage is seeking a Data Science Project Manager to serve as the connective layer across Data Science, Data Engineering, Software Engineering, Product, Operations, and business stakeholders. You will bring structure, visibility, and execution discipline to the Data Science lifecycle from problem definition to deployment and continuous improvement.

The role requires direct experience managing data science or ML projects in a fast-moving, technical environment, with a focus on turning complex

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