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Senior Data Scientist
Plume Design, Inc. Lead, develop, maintain and improve ML/LLM projects and other automations .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading and developing machine learning projects, with strong proficiency in Python, SQL, and core data science libraries. Capable of transforming complex datasets into actionable insights while collaborating effectively with cross-functional teams.
Highest-signal resume keywords
Machine Learning TechniquesPython ProgrammingSQL SkillsFeature EngineeringAWS Cloud Services
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 TransformationFeature ExtractionPredictive ModelingStatistical Analysis
Soft Skills
CommunicationTeamworkProblem-SolvingTime Management
Tools & Technologies
PandasNumPyScikit-learnAWS SageMakerAWS S3
Industry Keywords
MLOpsAnomaly DetectionForecastingOptimizationData Telemetry
Tech Stack
Tools & technologiesAWSCloudNumpyPandasPythonScikit-LearnSQL
About the role
Key responsibilities & impact- Lead, develop, maintain and improve ML/LLM projects and other automations
- Manipulate, clean, and transform large-scale network and device telemetry datasets for modeling and analysis
- Design and implement feature engineering strategies to improve model accuracy, interpretability, and robustness
- Use SQL and Python, including Pandas, NumPy, and Scikit-learn, to explore data and build analytical pipelines
- Translate product or business needs into analytical tasks and model development plans
- Build and evaluate machine learning models for anomaly detection, forecasting, and optimization
- Collaborate with engineering and product teams to integrate models into production systems and monitor performance
- Deliver insights and models efficiently under tight schedules
- Contribute to MLOps workflows for model deployment, validation, and monitoring
Requirements
What you’ll need- Experience in leading, developing and owning AI projects
- Strong experience in ML/LLM techniques and implementation
- Strong programming skills in Python and experience with core data science libraries
- Solid SQL skills for querying, aggregating, and joining complex datasets
- Proven experience transforming messy, high-volume data into structured, high-quality inputs for modeling
- Deep understanding of feature extraction, selection, and transformation for predictive modeling
- Strong grasp of statistics, probability, and applied machine learning
- Ability to understand requirements, scope solutions, and deliver high-quality results on tight timelines
- Excellent communication and teamwork skills across engineering, product, and data functions
- Experience in AWS cloud services, including SageMaker and S3