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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and deploying machine learning models, with a strong focus on data engineering principles and MLOps practices. Proficient in leveraging cloud platforms and data visualization tools to enhance forecasting accuracy and drive customer experience improvements.
Highest-signal resume keywords
Python ProficiencyMLOps PracticesGoogle Cloud Platform ExpertisePower BI CapabilityData Engineering Principles
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningData AnalysisForecasting ModelsData StrategiesCI/CD PipelinesBigQueryPySparkGitHubGoogle ColabAgentic AI
Soft Skills
Analytical SkillsAttention to DetailPlanning and OrganizingInfluencing SkillsPresentation Skills
Tools & Technologies
Google Cloud PlatformMicrosoft AzurePower BILooker Studio
Industry Keywords
Data ScienceCross-Functional CollaborationStakeholder CommunicationCustomer Experience
Tech Stack
Tools & technologiesAzureBigQueryCloudGoogle Cloud PlatformPySparkPython
About the role
Key responsibilities & impact- Design, build, and deploy machine learning-based forecasting models to predict demand and revenue
- Collaborate with cross-functional and cross-regional teams on data analysis, monitoring, and forecasting initiatives
- Create logic for new data strategies and oversee end-to-end implementation
- Provide actionable requirements to junior data scientists and technology teams regarding data attributes, model specifications, and platform needs
- Communicate with global stakeholders and translate complex technical models into clear business value
- Drive data strategies that deliver an improved customer experience
Requirements
What you’ll need- High proficiency in Python, PySpark, BigQuery, and Google Colab
- Deep expertise in Google Cloud Platform (GCP) preferred
- Experience with Microsoft Azure is a strong plus
- Strong capability in Power BI (PBI) preferred
- Experience with Looker Studio optional but beneficial
- Extensive experience with MLOps practices for deploying, monitoring, and maintaining production models
- Solid foundation in Data Engineering principles
- Proficiency using GitHub
- Experience building and managing CI/CD pipelines
- Knowledge of or hands-on experience with Agentic AI and related advanced AI frameworks
- Analytical skills, accuracy and attention to detail, planning and organizing skills, influencing and persuasion skills, and presentation skills
Benefits
Comp & perks- Career mobility and development opportunities
- Training and leadership programs
- Competitive benefits
- Flexible work arrangements
- Programs supporting employee well-being
- Equal opportunities, fairness and respect
- Reasonable accommodation for physical and mental disabilities