Data Scientist | Latam
About this role
This role addresses the need to deliver advanced, data-driven solutions for Cuesta Partners' diverse client base across Latin America. The Data Scientist will be central to transforming complex data into actionable insights that directly support strategic business decisions for clients. The core of this position involves applying statistical techniques and machine learning to build predictive models that generate measurable business impact.
The individual will be responsible for the end-to-end data science lifecycle, from collecting and cleaning large datasets to developing and deploying sophisticated algorithms. A key aspect of the job is bridging the gap between complex technical findings and non-technical stakeholders by effectively communicating results through data visualization and storytelling.
This role is ideal for a candidate who thrives on consulting, enjoys mentoring others, and possesses a strong ability to translate analytical outcomes into practical business strategies. Success in this position requires a blend of technical depth in ML and statistical analysis, coupled with excellent communication skills to drive collaborative solutions.
What you will do
- Analyze complex datasets to extract meaningful insights that inform client strategies.
- Develop and implement predictive models and machine learning algorithms tailored for specific business use cases.
- Collaborate with various stakeholders to effectively translate business problems into concrete data-driven solutions.
- Utilize statistical analysis techniques to optimize existing business processes.
- Collect, clean, and preprocess large datasets to ensure data quality for modeling.
- Communicate analytical findings clearly through data visualization and narrative techniques.
What you need
- Possesses three to five years of professional experience working as a Data Scientist.
- Requires a Bachelor's or Master’s degree in a quantitative field such as Statistics, Mathematics, Data Science, or a related discipline.
- Must have proven experience in developing predictive models and successfully translating model output metrics for non-technical audiences.
- Demonstrates expertise in Python and SQL for data manipulation and analysis.
- Needs hands-on experience with machine learning libraries including TensorFlow, scikit-learn, or PyTorch.
- Requires a strong foundation in statistical analysis and data mining techniques.
- Should have experience working with cloud-based data platforms and participating in AI projects.
Nice to have
- Experience mentoring others
Benefits
- Comprehensive Health Plan: Prepaid health coverage for you and your immediate family.
- Team Engagement Activities: Fun and meaningful events to connect and grow together.
- Annual Performance Bonus: Recognition and reward for your hard work.
- Growth Opportunities: Career development and advancement within the company.
- Flexible Work: Hybrid model with mostly remote work and one day per week in the office for team connection.
- Paid Time Off & Holidays: Generous leave to recharge and spend time with loved ones.
Skills and tech stack
Questions candidates ask
What is the work arrangement?
The role operates on a hybrid model, which includes mostly remote work with one day per week scheduled in the office for team connection.
What is the compensation structure?
The company offers an Annual Performance Bonus as recognition and reward for hard work.
What technologies are used in this role?
The required tech stack includes Python and SQL, along with machine learning libraries such as TensorFlow, scikit-learn, or PyTorch.
What opportunities are available for career growth?
The company provides growth opportunities through career development and advancement within the organization.
The application is on the official cuesta-partners careers page.
Apply on company site