Unlocking Business Potential through Data Science
2 weeks ago
The ideal candidate will have extensive experience in data analysis, machine learning, and data visualization.
Key Responsibilities:
- Extract insights from large datasets using statistical models and machine learning algorithms.
- Build predictive models to solve business problems and improve decision-making.
- Create data-driven solutions using data visualization tools like Tableau, Power BI, or Plotly.
Requirements:
- 38 years of experience in data science, analytics, or related fields.
- Proficiency in Python/R, SQL, and experience with big data frameworks (e.g., Spark, Hadoop) and cloud platforms (AWS, GCP, Azure).
- Strong understanding of supervised/unsupervised learning, feature engineering, model evaluation, and deployment.
- Ability to present complex insights in a clear, concise manner to business stakeholders.
Skills & Qualifications:
- Statistical analysis
- Machine learning
- Data visualization
- Cloud computing
This is an opportunity for you to utilize your technical skills to drive business outcomes.
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