Senior Product Data Scientist
Courtyard by Marriott
PythonSQLTableau
Data Science Manager
Federato
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteSalary
💰 $185,000 - $225,000 per year
Job Level
Mid-LevelSenior
About the role
- Manage a multidisciplinary data science team (analytics, engineering, and modeling) while fostering technical and professional growth through coaching, mentorship, and career development.
- Navigate ambiguity, driving innovation through rapid prototyping and iterative development in cross-functional teams.
- Partner with function leads and senior leadership to align growth paths, performance expectations, and strategic goals with technical excellence standards.
- Translate the Data Science vision into clear objectives, priorities, and milestones, ensuring effective project scoping, resourcing, and delivery.
- Define and refine agile workflows tailored to data science, managing key rituals such as design sessions, sprint planning, and retrospectives.
- Serve as the primary delivery interface across Product, Engineering, and Customer Success, ensuring alignment, transparent communication, and continuous improvement of team operations.
Requirements
- 5+ years of experience in data science, data engineering, or machine learning–related roles.
- 2+ years in a people management or delivery management role (directly leading technical contributors).
- Proven experience managing cross-functional technical teams and driving delivery across multiple workstreams.
- Strong understanding of data science lifecycle (from ideation and experimentation to deployment and maintenance).
- Practical experience with agile methodologies (Scrum, Kanban) and delivery facilitation.
- Excellent communication, organizational, and stakeholder management skills.
- Ability to balance technical depth with delivery discipline — ensuring outcomes, not just output.
- Bonus Points
- Experience as a Scrum Master, Agile Coach, or Technical Program Manager.
- Background in a hybrid data science/product engineering environment.
- Exposure to customer-facing or forward-deployed data science work.
- Familiarity with ML ops, model governance, and productionization best practices.
- Experience in scaling data science orgs and defining operating models.
Benefits
- Final offer amounts are determined by multiple factors including candidate location, experience and expertise and may vary from the amounts listed above.
- Total compensation package does include stock options, benefits and additional perks.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data sciencedata engineeringmachine learningagile methodologiesScrumKanbanML opsmodel governanceproductionizationproject scoping
Soft skills
coachingmentorshipcareer developmentcommunicationorganizational skillsstakeholder managementinnovationdelivery disciplinecross-functional collaborationtechnical excellence
