Data Scientist

hace 3 semanas


Buenos Aires, Argentina Clip A tiempo completo

We are looking for a **Data Scientist** to be part of this fast-growing fintech and join the team responsible for implementing the data strategy for the company, and delivering tangible results to support and implement Clip's mission. The Data Scientist will work closely with the business and operational units, understand the problems that want to be solved, and propose data
- and Machine Learning-driven solutions.

**Education Level & Work Experience**

Bachelor’s degree required in core mathematical fields (Applied Math, Statistics, Actuary, Economics, etc.)

2-3 years relevant industry experience (Data Science roles ideally in tech companies).

Strong technical mathematical acumen, analytical skills, and business sense.

An industry expert. Someone who can instantly increase our data science depth and acumen.

**Key Responsibilities**
- Meet with business stakeholders to understand and translate business problems.
- Propose, develop, monitor, and deploy in production Machine Learning solutions for these business problems.
- Communicate difficult, technical results to a business audience, and suggest different avenues for progress.
- Quantify the impact of our machine learning solutions in the business.
- Communicate with Data Engineers to facilitate access to new data sources, and to deploy in production the outcome of machine learning models.
- Design experiments, test hypotheses and build data models to help product managers make better decisions.
- Maintain data integrity by advising product managers and others on appropriate data collection, testing, and reporting.

**Technical knowledge
- Strong programming skills (Python, SQL)
- Deep technical knowledge of machine learning and statistical models.
- Ability to deliver projects and results in a timely manner, including but not limited to ad-hoc analysis with short timelines.
- Strong organization and project prioritization skills.
- Self-motivated and be able to work with little supervision while still finishing assigned work
- #LI-_SC1_
- #LI-REMOTE_


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