Part-Time Data Scientist – Digital Media & Market Intelligence - Brazil

Truelogic Software; São Paulo; Teletrabalho; USD 30.000 - 50.000; Tempo parcial

Resumo da oferta

A leading company in digital media and market intelligence is seeking a Part-Time Data Scientist in Brazil. This role involves supporting machine learning and AI initiatives, with responsibilities including building recommendation systems and developing data pipelines. Ideal candidates have strong Python and machine learning experience and enjoy working in dynamic environments. The position offers flexible hours and the potential to transition into a full-time role.

Serviços

100% Remote Work

Highly Competitive USD Pay

Paid Time Off

Work with Autonomy

Work with Top American Companies

Qualificações

• 3+ years in data science or applied ML roles.
• Strong experience with Python for data manipulation and modeling.
• Skilled at translating business problems into ML applications.

Responsabilidades

• Build and deploy a recommendation engine.
• Develop model pipelines and core datasets using Python and Snowflake.
• Validate and monitor ML models across the business.

Conhecimentos

Python

Machine Learning

Statistics

Data Manipulation

Collaboration

Ferramentas

Snowflake

Descrição da oferta de emprego

Part-Time Data Scientist – Digital Media & Market Intelligence - Brazil

Join to apply for the Part-Time Data Scientist – Digital Media & Market Intelligence - Brazil role at Truelogic Software

Part-Time Data Scientist – Digital Media & Market Intelligence - Brazil

Join to apply for the Part-Time Data Scientist – Digital Media & Market Intelligence - Brazil role at Truelogic Software

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About Truelogic

At Truelogic we are a leading provider of nearshore staff augmentation services headquartered in New York. For over two decades, we’ve been delivering top-tier technology solutions to companies of all sizes, from innovative startups to industry leaders, helping them achieve their digital transformation goals.

About Truelogic

At Truelogic we are a leading provider of nearshore staff augmentation services headquartered in New York. For over two decades, we’ve been delivering top-tier technology solutions to companies of all sizes, from innovative startups to industry leaders, helping them achieve their digital transformation goals.

Our team of 600+ highly skilled tech professionals, based in Latin America, drives digital disruption by partnering with U.S. companies on their most impactful projects. Whether collaborating with Fortune 500 giants or scaling startups, we deliver results that make a difference.

By applying for this position, you’re taking the first step in joining a dynamic team that values your expertise and aspirations. We aim to align your skills with opportunities that foster exceptional career growth and success while contributing to transformative projects that shape the future.

Our Client

A leading digital research and intelligence company that delivers subscription-based insights on marketing, media, and commerce trends. Their mission is to help businesses make data-driven decisions by providing high-quality analysis and forecasting.

Job Summary

We’re seeking a sharp, business-minded Data Scientist to join the team supporting machine learning and AI initiatives. This is a part-time contractor role with flexible hours and the potential to transition into a full-time position as strategic data projects evolve. The ideal candidate is experienced in applied machine learning, thrives in early-stage environments, and enjoys turning high-volume, messy data into business value. You’ll work closely with the VP of Data & Science to build foundational datasets, pipelines, and models that support recommendation systems, personalization, lead scoring, and generative AI use cases.

Responsibilities

• Build and deploy a recommendation engine, from data sourcing to performance monitoring
• Develop model pipelines and core datasets using Python and Snowflake
• Identify and drive high-impact use cases (e.g., email personalization, lead scoring, generative AI)
• Validate, implement, and monitor ML models across the business
• Communicate insights with cross-functional stakeholders
• Contribute to building a modern ML/AI practice in a subscription-driven business
  
  

Qualifications And Job Requirements

• 3+ years in data science or applied ML roles
• Strong experience with Python for data manipulation, modeling, and ML
• Hands-on with Snowflake or similar data warehouses (Redshift, BigQuery)
• Skilled at translating business problems into ML applications
• Solid foundation in statistics, algorithms, and model lifecycle management
• Excellent communication and collaboration skills
  
  

What We Offer

• 100% Remote Work: Enjoy the freedom to work from the location that helps you thrive. All it takes is a laptop and a reliable internet connection.
• Highly Competitive USD Pay: Earn an excellent, market-leading compensation in USD, that goes beyond typical market offerings.
• Paid Time Off: We value your well-being. Our paid time off policies ensure you have the chance to unwind and recharge when needed.
• Work with Autonomy: Enjoy the freedom to manage your time as long as the work gets done. Focus on results, not the clock.
• Work with Top American Companies: Grow your expertise working on innovative, high-impact projects with Industry-Leading U.S. Companies.
  
  

Why You’ll Like Working Here

• A Culture That Values You: We prioritize well-being and work-life balance, offering engagement activities and fostering dynamic teams to ensure you thrive both personally and professionally.
• Diverse, Global Network: Connect with over 600 professionals in 25+ countries, expand your network, and collaborate with a multicultural team from Latin America.
• Team Up with Skilled Professionals: Join forces with senior talent. All of our team members are seasoned experts, ensuring you're working with the best in your field.
  
  

Apply now!

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

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