Data Science Professional
1 week ago
**Job Overview:
Shuvel Digital is seeking a highly skilled Data Science Professional to join our hybrid team. As a key member of our data science group, you will be responsible for designing, training, and implementing machine learning models to drive business growth and improvement.
The ideal candidate will have a strong background in machine learning, statistical modeling, and algorithms. They will also possess advanced skills in programming languages such as Python, Jupyter Notebook/Jupyter Lab, and Visual Studio Code. Experience with cloud computing infrastructure, data visualization concepts, and tools is highly desirable.
**Responsibilities:
- Design, train, and implement machine learning models to drive business growth and improvement.
- Unlock insights by analyzing large scale of complex numerical and textual data and identifying trends.
- Partner with a cross-functional team of data engineers, data scientists, and data visualization experts to deliver projects.
- Research and evaluate emerging technologies.
- Develop data science solutions based on tools and cloud computing infrastructure.
**Requirements:
- Bachelor's degree in computer science, mathematics, physics, statistics, or related field.
- Strong experience with applying expertise in model design, training, validation, and monitoring.
- Excellent understanding of machine learning, statistical modeling, and algorithms as well as their benefits and drawbacks.
- Advanced skills with Python, Jupyter Notebook/Jupyter Lab, Visual Studio Code and other languages appropriate for large data analysis.
- Experience with cloud computing infrastructure.
- Advanced SQL skills.
**What We Offer:
- A competitive salary range of $120,000 - $180,000 per year.
- Ongoing training and professional development opportunities.
- A dynamic and collaborative work environment.
**How to Apply:** If you are a motivated and talented Data Science Professional looking for a new challenge, please submit your resume and cover letter for consideration.
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