FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data science and advanced analytics, with a strong focus on machine learning, statistical modeling, and the development of self-service analytics solutions. Proven ability to lead and coach teams while translating complex analyses into actionable insights for business stakeholders.
Highest-signal resume keywords
Data Science ExpertiseMachine Learning MethodsPython or R ProficiencyPeople Leadership ExperienceSelf-Service Analytics Development
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ScienceAdvanced AnalyticsStatistical ModelingMachine LearningSQLPythonRData GovernanceModel ValidationCausal Inference
Soft Skills
CoachingCommunicationPrioritizationOrganizational SkillsChange Management
Tools & Technologies
Cloud Analytics EnvironmentsVersion-Controlled Development WorkflowsData Privacy ToolsAI-Enabled Decision Support
Industry Keywords
HealthcareMedical-DeviceCRMElectronic Health RecordClaims DataRegulated Industry
Tech Stack
Tools & technologiesCloudPythonSQL
About the role
Key responsibilities & impact- Lead, coach, and develop data scientists and analysts
- Own day-to-day portfolio management across commercial and enterprise stakeholders
- Partner with business leaders to identify high-value opportunities for advanced analytics, machine learning, forecasting, causal inference, segmentation, optimization/automation, and AI-enabled decision support
- Translate ambiguous business questions into well-scoped analytical products with defined users, success measures, timelines, risks, and adoption plans
- Provide final review and technical guidance for analytical design, model selection, validation, interpretation, explainability, bias assessment, and communication of limitations
- Drive the transition of basic reporting, routine data pulls, and repeatable analyses to governed self-service solutions or appropriate business owners
- Build reusable approaches, shared standards, and scalable workflows
- Communicate insights as clear business stories with recommendations, trade-offs, and next steps
- Collaborate with IT, data, privacy, legal, compliance, and business teams on data access, platform needs, deployment, governance, and responsible use of analytics and AI
- Oversee measurement of solution adoption, model performance, operational outcomes, and business value
- Support talent planning, hiring, resource allocation, vendor or contractor coordination, and development of the team operating model
- Maintain hands-on technical depth to guide complex work, troubleshoot critical issues, and contribute to priority analyses
Requirements
What you’ll need- Bachelor’s degree in data science, statistics, mathematics, computer science, engineering, economics, or a related quantitative field; advanced degree is strongly preferred
- 7+ years experience applying data science and advanced analytics to real-world business problems, including ownership from problem definition through adoption and measurement
- 3+ years in people leadership with experience coaching technical team members, reviewing work, setting standards, and coordinating delivery across multiple projects
- Expertise in Python or R and strong working knowledge of SQL
- Experience with modern cloud analytics environments and version-controlled development workflows
- Demonstrated knowledge of statistical modeling and machine learning methods
- Experience building trusted partnerships with commercial, marketing, sales, operations, finance, strategy, or other business functions
- Ability to synthesize complex analyses into concise, decision-oriented recommendations for senior leaders and non-technical audiences
- Experience developing self-service analytics, repeatable products, or transition plans that shift routine work closer to business users
- Excellent prioritization, organizational, and change-management skills in a fast-paced, evolving environment
- Working knowledge of responsible AI, data privacy, model governance, and validation practices
- Experience in a regulated industry is a plus
- Healthcare, medical-device, CRM, electronic health record, or claims-data experience is a plus
- Interest in learning about commercial, operations, finance, and clinical business areas is a plus
- Limited travel, generally less than 10%, may be required
Benefits
Comp & perks- Health benefits – Medical, Dental, Vision
- Personal and Vacation Time
- Retirement & Savings Plan (401K)
- Employee Stock Purchase Plan
- Training & Education Assistance
- Bonus Referral Program
- Service Awards
- Employee Recognition Program
- Flexible Work Schedules
- Discretionary annual bonus