Principal Data Scientist

Job Title: Principal Data Scientist Position Overview We are seeking a Principal Data Scientist who can operate as both a technical expert and a strategic advisor to client leadership. This role requires strong consulting skills, deep forecasting and AI/ML expertise, and hands-on experience building, refining, and productionalizing models in AWS SageMaker. The individual will take ownership of the client's in‑flight forecasting model, finalize and deploy it, and continue supporting additional modeling efforts-including advising on the Sales Agent evolution roadmap. Key Responsibilities Consulting & Advisory • Serve as the primary Data Science advisor to the client team, including newly onboarded leaders. • Translate complex modeling concepts into clear, actionable recommendations for business stakeholders. • Proactively guide solution direction, challenge assumptions, and bring creative problem‑solving approaches. • Partner cross‑functionally to align on model requirements, performance expectations, and roadmap priorities. Forecasting & Model Development • Take ownership of an existing forecasting model and retrain it using a newly defined categorization framework. • Build, refine, and evaluate model ensembles and multi‑series forecasting approaches using a single unified model. • Conduct iterative experimentation, error analysis, and non‑traditional modeling techniques to resolve performance issues. • Perform feature engineering, model tuning, backtesting, and diagnostics to enhance stability and accuracy. ML Engineering & Deployment • Convert exploratory Jupyter notebooks into structured, production‑ready Python scripts. • Build, maintain, and deploy ML pipelines using AWS SageMaker, including training, evaluation, and inference workflows. • Apply best practices in pipeline orchestration, versioning, CI/CD, and model monitoring. • Partner with engineering/MLOps resources to ensure reliable and scalable deployment of forecasting solutions. Future Modeling & Strategic Support • Continue enhancing forecasting capabilities as new data and business priorities emerge. • Work on additional models beyond forecasting as part of broader client initiatives. • Provide technical and strategic input into the Sales Agent evolution, including modeling approaches, experimentation strategy, and capability scaling. Required Skills & Experience • 5-8+ years of experience in Data Science, Machine Learning, or related quantitative fields. • Strong consulting and stakeholder‑facing communication skills; ability to operate as a trusted advisor. • Expertise in: • Forecasting and time‑series modeling • Model ensembles and multi‑series forecasting approaches • Iterative, experimental error analysis techniques • Hands-on experience with: • AWS SageMaker (model development, pipeline automation, deployment) • Python for production‑level code development • Converting Jupyter notebooks into modularized .py scripts • Demonstrated problem-solving ability beyond standard ML workflows. • Ability to independently navigate ambiguous business requirements and drive technical decisions. Preferred Qualifications • Experience with resource planning, workforce management, or operational forecasting. • Background supporting sales, service, or contact‑center analytics initiatives. • Familiarity with large‑scale ML operations, data engineering, and model lifecycle management in cloud environments. Core Competencies • Trusted Advisor Mindset • Creative, Non‑linear Problem Solving • Strong Communication & Influence • Technical Leadership • Adaptability in Fast‑Moving Environments • Ownership & Accountability • • DO NOT REACH OUT UNLESS YOU ARE A CANDIDATE APPLYING FOR THIS ROLE. NO THIRD PARTIES WILL BE UTILIZED FOR THIS SEARCH • •