
Principal Data Strategist
1 week ago
We are seeking a Principal Data Strategist to drive our data strategy forward.
This role requires expertise in exploratory data analysis (EDA), feature engineering, and model development to create impactful solutions.
You will be working closely with our data engineering and business intelligence teams to ensure seamless integration of data-driven insights into business applications.
- Develop and implement traditional machine learning models (regression, classification, clustering, etc.).
- Build scalable data preparation and feature engineering pipelines for model training.
- Evaluate model results using performance metrics and fine-tune accordingly.
Responsibilities:
- Present findings and recommendations to business stakeholders in a clear and actionable manner.
- Collaborate with data engineers and BI teams to integrate models into business applications.
- Apply statistical analysis and hypothesis testing to extract meaningful insights.
Requirements:
- Bachelors or equivalent Degree in Data Science (preferred), Computer Science, Information Technology or related field.
- 5-8 years of experience in data science, machine learning, or statistical analysis.
- Strong programming skills in Python or R for data analysis and model development.
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Principal Data Engineer
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