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Aezion, Inc

Aezion - Data Scientist - Predictive Modeling

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  • Posted 12 days ago
  • Over 50 applicants

Job Description

Description

Key Responsibilities :

This Oppourtnity is Work from Office in 5 days

Predictive Modeling & Analytics

  • Design and develop predictive models to identify :
  • Quality performance trends and decline risks
  • Compliance risk patterns and recurrence
  • Burnout, attrition, or workforce risk indicators
  • Apply statistical and machine learning techniques to structured and semi-structured data.
  • Evaluate model performance using appropriate metrics and validation techniques.

Feature Engineering & Data Preparation

  • Partner with data engineering teams to define feature sets derived from interaction data, QA scores, sentiment, and operational metrics.
  • Identify leading indicators and behavioral signals relevant to contact center quality and workforce health.
  • Ensure data quality, consistency, and suitability for modeling.

Model Validation & Governance

  • Validate model outputs for accuracy, fairness, and interpretability.
  • Ensure models are explainable and suitable for use in regulated environments.
  • Document assumptions, limitations, and intended use of models.
  • Participate in model review, approval, and recalibration processes.

Collaboration With AI & Platform Teams

  • Work closely with Solution Architects, AI/Prompt Engineers, and ML Engineers to integrate models into the platform.
  • Support the deployment of models via Snowflake ML, SageMaker, or equivalent frameworks.
  • Assist with defining monitoring, drift detection, and retraining strategies.

Insights & Business Interpretation

  • Translate analytical findings into actionable business insights.
  • Collaborate with Product Owners and QA leaders to align models with business goals.
  • Contribute to dashboards, reporting, and executive-level summaries.

Documentation & Knowledge Transfer

  • Produce clear documentation for models, features, and methodologies.
  • Support audit readiness by providing transparent explanations of analytical outputs.
  • Assist in knowledge transfer to operational and client teams.

Required Skills & Experience

Technical Skills :

  • Strong background in statistics, machine learning, and predictive analytics.
  • Proficiency in Python and common data science libraries (e.g., pandas, scikit-learn).
  • Experience working with large analytical datasets.
  • Familiarity with cloud-based ML platforms (AWS SageMaker, Snowflake ML preferred).
  • Ability to work with structured and semi-structured data.

Domain & Analytical Skills

  • Experience developing models in regulated or risk-sensitive environments.
  • Strong analytical reasoning and problem-solving skills.
  • Ability to balance model sophistication with interpretability.
  • Exposure to contact center analytics, QA, or workforce analytics is a plus.

Soft Skills

  • Clear communication of technical concepts to non-technical stakeholders.
  • Ability to collaborate in cross-functional teams.
  • Strong documentation and presentation skills.
  • Comfortable working in iterative, feedback-driven delivery models.

Nice-to-Have Qualifications

  • Experience with NLP features or sentiment analysis outputs.
  • Familiarity with GenAI-derived signals and hybrid rule-based approaches.
  • Experience supporting audit or compliance reviews.
  • Healthcare, insurance, or financial services experience.

Success Metrics

  • Accuracy and stability of predictive models in production.
  • Early detection of quality or workforce risks.
  • Adoption of insights by QA, coaching, and leadership teams.
  • Transparency and auditability of analytical outputs.
  • Reduction in reactive QA and operational interventions.

(ref:hirist.tech)

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About Company

Job ID: 142640219