Offer summary

Qualifications:

Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field., Proven experience as a Data Scientist with a strong portfolio of Streamlit applications., Proficient in Python and libraries such as Pandas, NumPy, and SciPy., Strong communication skills to convey complex technical concepts to non-technical audiences..

Key responsabilities:

Design, develop, and maintain interactive data applications using Streamlit.

Collaborate with cross-functional teams to understand business requirements and translate them into functional applications.

Analyze large datasets to extract actionable insights and build predictive models.

Create data visualizations that effectively communicate findings to business stakeholders.

Job description

Remote position

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 not only adept at data analysis and modeling but also passionate about building user-friendly interfaces for non-technical stakeholders.

Key Responsibilities:

- Design, develop, and maintain interactive data applications using Streamlit to support business decision-making.

- Collaborate with cross-functional teams to understand business requirements and translate them into functional applications.

- Analyze large datasets to extract actionable insights and build predictive models.

- Create data visualizations that effectively communicate findings to business stakeholders.

- Continually refine and optimize the performance of Streamlit apps.

Qualifications:

- Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.

- Proven experience as a Data Scientist, with a strong portfolio of Streamlit applications.

- Proficient in Python and libraries such as Pandas, NumPy, and SciPy.

- Experience with machine learning frameworks like TensorFlow, Keras, or Scikit-learn.

- Strong understanding of data visualization tools and techniques.

- Excellent problem-solving skills and attention to detail.

- Strong communication skills with the ability to convey complex technical concepts to non-technical audiences.

About RYZ Labs

RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents to build industry-defining companies in a post-pandemic world.

Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years.

At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists.

Our values and what to expect:

- Customer First Mentality - every decision we make should be made through the lens of the customer.

- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.

- Ownership - step up if you see an opportunity to help, even if not your core responsibility.

- Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less

- Deliver Impact - get things done most efficiently.

- Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.

Required profile