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Data Insights Engineer
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We are seeking a highly skilled Data Scientist with a strong background in statistical analysis, machine learning, and cloud technologies. The ideal candidate will be passionate about transforming complex data into actionable insights that drive business decisions.
This role involves collaborating closely with business partners to define technical problem statements, formulate hypotheses, and develop efficient analytical models that align with business objectives.
Key Responsibilities:- Data Integration & Feature Engineering: Combine internal/external datasets to build reliable features for ML models.
- Machine Learning & Statistical Analysis: Apply clustering, classification, and regression to solve business problems.
- Data Visualization & Communication: Build dashboards and present insights to technical and non-technical teams.
- Automation & Pipelines: Use Python/SQL to automate ETL processes and ensure scalable, high-quality data flows.
- NLP & Unstructured Data: Apply NLP techniques to analyze text data and generate insights.
- Model Deployment: Deploy ML models via Databricks and integrate with data pipelines.
- Bachelor's degree or higher in Computer Science, Economics, Statistics, or related field.
- Python: Advanced proficiency in Python for machine learning, backend development, and creating scalable data pipelines.
- Natural Language Processing (NLP): Expertise in applying NLP techniques to process, analyze, and extract meaningful insights from unstructured data.
- Structured Query Language (SQL): Proficiency in SQL for querying and analyzing large datasets, particularly in cloud-based environments.
- Cloud Platforms: Experience with cloud platforms such as AWS, GCP, or Azure for deploying machine learning models and data-driven applications in scalable environments.
