Principal Data Scientist

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/ $85 - $120 hour

INFO

Salary
SALARY:

$85 - $120

Location

LOCATION

Job Type
JOB TYPE

Contract

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**


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