AI/ML Data Scientist for Product Safety Insights

Analytica

Bethesda (AR)

On-site

USD 120,000 - 180,000

Full time

6 days ago
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Benefits offered by this job

Bonuses
Health insurance
Training funds
401k match

Job summary

Analytica seeks a Data Scientist to design and implement advanced statistical and AI/ML solutions for product safety analytics. You will extract actionable insights, evaluate model performance, and apply semantic analysis to improve data-driven decisions.

The ideal candidate has cloud experience (Azure) and strong skills in Python, NLP, and data visualization, contributing to an AI-powered Sentinel model.

Qualifications

  • Bachelor's degree in data science, ML, CS, mathematics or related field.
  • 5+ years developing statistical and AI/ML models in cloud environments.
  • 3+ years building predictive models and NLP applications.
  • Experience in Azure and data visualization with Power BI.
  • Strong communication and collaboration across stakeholders.

Responsibilities

  • Lead design and implementation of AI/ML solutions for product safety analytics.
  • Develop interpretible analytics outputs and data storytelling visuals.
  • Evaluate model performance with metrics like AUC, F1, precision, recall.
  • Prototype and maintain models for anomaly detection, classification and regression.
  • Advance semantic analysis techniques and scalable cloud pipelines.

Skills

Python
SQL
Power BI
NLP
Azure
Git
Agile
Pandas
Scikit-learn
PyTorch
TensorFlow

Education

Bachelor's degree in Data Science or related field
Master’s degree preferred

Tools

Pandas
Scikit-learn
PyTorch
TensorFlow

Job description

Analytica seeks a Data Scientist to design and implement advanced statistical and AI/ML solutions for product safety analytics. You will extract actionable insights, evaluate model performance, and apply semantic analysis to improve data-driven decisions.

The ideal candidate has cloud experience (Azure) and strong skills in Python, NLP, and data visualization, contributing to an AI-powered Sentinel model.

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