Data Scientist
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Company Description
Jobs for Humanity is partnering with Ezzo-661 to build an inclusive and just employment ecosystem. Therefore, we prioritize individuals coming from all walks of life.
Company Name: Ezzo-661
Job Description
We are seeking a highly skilled Data Scientist to join our dynamic team. In this role, you will leverage statistical analysis, machine learning, and data engineering to extract actionable insights from complex datasets, driving data-informed business decisions and product improvements. If you are passionate about turning raw data into strategic value and thrive in a collaborative, fast-paced environment, we want to hear from you.
Job Purpose
The purpose of this role is to harness advanced analytics, machine learning, and data engineering techniques to transform complex datasets into actionable insights, enabling data-driven business decisions and measurable product improvements.
Job Duties and Responsibilities
- Build and deploy predictive models
- Deliver actionable data insights monthly
- Improve key business metrics by 15%
- Automate data pipelines and reporting
- Reduce data processing latency by 30%
Qualifications
Required Qualifications
- Python
- SQL
- Machine Learning (scikit-learn, TensorFlow, PyTorch)
- Statistical Analysis
- Data Visualization (Tableau, Power BI, Matplotlib)
- Big Data Tools (Spark, Hadoop)
- Cloud Platforms (AWS, GCP, Azure)
- A/B Testing & Experimentation
- Critical Thinking
- Problem Solving
Requirements
- •Proficiency in Python and SQL
- •Experience with Machine Learning frameworks (scikit-learn, TensorFlow, PyTorch)
- •Strong Statistical Analysis skills
- •Data Visualization experience (Tableau, Power BI, Matplotlib)
- •Knowledge of Big Data Tools (Spark, Hadoop)
- •Experience with Cloud Platforms (AWS, GCP, Azure)
- •Experience with A/B Testing and Experimentation
- •Critical Thinking and Problem Solving skills
Responsibilities
- •Build and deploy predictive models
- •Deliver actionable data insights monthly
- •Improve key business metrics by 15%
- •Automate data pipelines and reporting
- •Reduce data processing latency by 30%
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