Data Scientist

Workana; Buenos Aires; Teletrabalho; USD 36.000 - 48.000; Tempo integral

Resumo da oferta

Workana, a leading remote work platform, seeks a Data Scientist for Betray AI, revolutionizing e-commerce with AI. If you have experience in data science and a passion for machine learning, this opportunity offers competitive pay, remote work flexibility, and career growth with a dynamic team.

Serviços

Compensation in USD

Fully remote work

Career growth opportunities

Qualificações

• 3+ years of experience in data science, ideally in e-commerce or consumer-tech.
• Proficiency in Python and machine learning libraries.
• Hands-on experience building and deploying recommendation systems.

Responsabilidades

• Develop and deploy recommendation systems using deep learning and feedback models.
• Perform data analysis to build predictive models.
• Collaborate with teams to optimize personalization strategies.

Conhecimentos

Python

Machine Learning

Data Analysis

Problem Solving

Ferramentas

Scikit-learn

TensorFlow

PyTorch

LightFM

SQL

Pandas

Jupyter

Descrição da oferta de emprego

This range is provided by Workana. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$36,000.00/yr - $48,000.00/yr

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
  
  
  

Requirements

• 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
  
  
  

Benefits

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

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Industries

  IT Services and IT Consulting

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