Data Scientist / Associate Data Engineer

Nielsen

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3 days ago

Key Responsibilities

As a Data Scientist/Engineer within the team, you will participate in end-to-end reproducible research and infrastructure deployment tasks:
AI Optimization: Identify unique AI integration opportunities inside existing software pipelines and deploy production-ready machine learning components.
Pipeline Deployment: Launch, maintain, and supervise data processing pipelines and predictive models inside live cloud architectures.
Data Evaluation: Clean raw datasets, isolate vital variables, apply dimension reduction strategies, integrate complex survey structures, and perform output validation.
Research Support: Conduct methodology tracking to minimize reporting bias, handle trend analysis patterns, estimate missing data points, and establish sampling accuracy.
Code Maintenance: Identify functional quality escapes and rewrite faulty segments inside live production repositories while updating structural code documentation.

Experience: 0 to 3 years of experience in data analytics, engineering, or statistical code execution.
Core Languages: High proficiency in writing clean Python and writing efficient SQL database query structures.
Data Frameworks: Familiarity with Spark processing systems to control and manipulate exceptionally large datasets.
ML Knowledge: Practical understanding of fundamental statistics, machine learning models, and standard artificial intelligence methodologies.
Operational Engineering Tools: Robust familiarity with Git/GitLab version workflows, alongside Atlassian productivity environments (Jira, Confluence).
Cloud & Visualization Exposure: Familiarity with cloud landscapes (AWS or Google Cloud) alongside exposure to dashboards like Tableau or Spotfire is a plus.
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