Description:

We are seeking a talented Data Scientist who specializes in Streamlit development to join our dynamic team and contribute to one of our business units by creating powerful analytical applications.
This role requires someone who is adept at data analysis and modeling and is passionate about building user-friendly interfaces for non-technical stakeholders.
Key responsibilities include designing, developing, and maintaining interactive data applications using Streamlit to support business decision-making.
The Data Scientist will collaborate with cross-functional teams to understand business requirements and translate them into functional applications.
Analyzing large datasets to extract actionable insights and build predictive models is a crucial part of the role.
The position also involves creating data visualizations that effectively communicate findings to business stakeholders.
Continual refinement and optimization of the performance of Streamlit apps is expected.

Requirements:

A Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field is required.
Proven experience as a Data Scientist, with a strong portfolio of Streamlit applications is necessary.
Proficiency in Python and libraries such as Pandas, NumPy, and SciPy is essential.
Experience with machine learning frameworks like TensorFlow, Keras, or Scikit-learn is required.
A strong understanding of data visualization tools and techniques is necessary.
Excellent problem-solving skills and attention to detail are required.
Strong communication skills with the ability to convey complex technical concepts to non-technical audiences are essential.

Working in a remote position allows for flexibility and autonomy in your work.
You will have the opportunity to work with cutting-edge technologies in cloud computing to create scalable and resilient applications.
The environment at RYZ Labs promotes opportunities for learning, growth, and expansion through challenging projects.
You will deepen your experience while sharing and learning from a team of great professionals and specialists.
The company values a customer-first mentality, urgency in action, ownership, humility, respect, frugality, delivering impact, and raising standards, creating a supportive and dynamic workplace culture.