Data Scientist

Workana; Buenos Aires; A distancia; USD 30.000 - 50.000; Jornada completa

Descripción de la vacante

Workana busca un Data Scientist para Frenzy AI, que revolucionan la experiencia de compra mediante inteligencia artificial. El candidato trabajará en sistemas de recomendación escalables, colaborando con equipos multifuncionales para optimizar estrategias de personalización. Posibilidad de crecimiento en un ambiente de trabajo completamente remoto.

Servicios

Compensación competitiva

Soporte dedicado

Oportunidades de crecimiento de carrera

Trabajo completamente remoto

Formación

• 3+ años de experiencia en ciencia de datos, idealmente en e-commerce.
• Fuertes conocimientos de bibliotecas de machine learning.
• Experiencia práctica en la creación y despliegue de sistemas de recomendación.

Responsabilidades

• Desarrollar e implementar sistemas de recomendación utilizando técnicas avanzadas.
• Realizar análisis de datos y construir modelos predictivos.
• Colaborar con equipos multidisciplinarios en la optimización de estrategias de personalización.

Conocimientos

Python

Machine Learning

Deep Learning

Data Analysis

Problem Solving

Communication

Educación

Bachelor's in Data Science or related field

Herramientas

Scikit-learn

TensorFlow

PyTorch

LightFM

SQL

Pandas

Jupyter

Descripción del empleo

Workana is the largest remote work platform for talents in Latin America. Our new segment Workana Premium focuses on matching the most exceptional professionals with leading and innovative companies around the globe. Enjoy competitive compensation, dedicated support, and the flexibility of remote work within a dynamic environment that fosters collaboration and professional advancement.

We are proud to present you with the following opportunity.

About Our Client:

Frenzy AI is an innovative company revolutionizing the e-commerce landscape through the power of artificial intelligence. By leveraging cutting-edge machine learning technologies, they create personalized shopping experiences that drive user engagement and business growth. Frenzy AI fosters a culture of innovation, collaboration, and impact, offering a dynamic environment for professionals who want to shape the future of e-commerce.

Role Overview:

As a Data Scientist at Frenzy AI, you will play a crucial role in building and deploying scalable recommendation systems that enhance user experience and business outcomes. You will collaborate closely with cross-functional teams to develop machine learning models, perform data analysis, and optimize personalization strategies. This is an exciting opportunity to work with large-scale datasets and deploy models that make a real impact.

Responsibilities:

• Develop, implement, and deploy recommendation systems using techniques like matrix factorization, deep learning, and implicit/explicit feedback models.
• Perform data analysis and build predictive models leveraging behavioral data and trend signals.
• Work with large-scale data pipelines and contribute to the development of A/B testing frameworks.
• Collaborate with product and engineering teams to design and optimize personalization and user segmentation strategies.
• Analyze and interpret data to deliver actionable insights that drive product ranking and user engagement.
• Communicate technical findings effectively to non-technical stakeholders.
• Continuously research and apply state-of-the-art machine learning techniques to enhance recommendation performance.

• 3+ years of experience in data science, ideally in e-commerce or consumer-tech environments.
• Strong proficiency in Python and machine learning libraries such as Scikit-learn, TensorFlow, PyTorch, and LightFM.
• Hands-on experience building and deploying recommendation systems (e.g., matrix factorization, deep learning-based recommenders, implicit/explicit feedback models).
• Experience with SQL, Pandas, and Jupyter for data analysis.
• Strong understanding of product ranking models using behavioral data.
• Experience working with large-scale data pipelines and A/B testing frameworks.
• Excellent problem-solving skills and ability to communicate complex technical concepts clearly.

• Compensation in USD
• Fully remote work
• Career growth opportunities with an international, dynamic company