Data Science Engineer

Remote position (only for professionals based in Argentina or Uruguay)

We are seeking a talented and driven Data Science Engineer to join one of our client's team. This role is a unique blend of data science and data engineering, ideal for a professional with a strong background in Python, statistical modeling, and mathematics. The successful candidate will play a crucial role in analyzing complex datasets, developing predictive models, and creating robust data pipelines.

Key Responsibilities

- Data Analysis & Modeling: Analyze large, complex datasets to uncover insights and trends.

Develop, implement, and maintain statistical models to support data-driven decision-making.

Use advanced mathematical techniques to interpret data and build predictive models.

- Data Engineering: Design and build scalable data pipelines to process and analyze data.

Ensure the integrity and quality of data through robust data processing frameworks.

Collaborate with data architects and other engineers to integrate data from multiple sources.

Programming & Scripting: Write efficient and scalable Python code to automate data processing and analysis tasks. Develop custom scripts to handle data extraction, transformation, and loading (ETL).

Collaboration & Communication: Work closely with cross-functional teams to understand business requirements and translate them into technical solutions. Communicate findings and insights to non-technical stakeholders effectively.

Qualifications

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

- At least 5 years of proven experience in data science and data engineering roles.

- Strong proficiency in Python and experience with libraries such as Pandas, NumPy, Scikit-Learn, and TensorFlow.

- Experience in building and deploying statistical models.

- Solid mathematical foundation, particularly in statistics and probability.

Skills:

- Expertise in data wrangling and processing large datasets.

- Strong problem-solving and analytical skills.

- Familiarity with SQL and database management systems.

- Experience with cloud platforms (e.g., AWS, GCP, Azure) is a plus.

 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 in order 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 that interacts with RYZ with respect.

- Frugality - being frugal and cost conscious helps us do more with less.

- Deliver Impact - get things done in the most efficient way. 

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