Job Specifications
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
We're partnering with a global insights and strategy firm that operates at the intersection of content, culture, and technology. The team helps organizations anticipate what's next-turning emerging trends and consumer signals into actionable insights that inspire new ideas and sharper decision-making.
This firm works as a trusted, behind-the-scenes advisor to leading brands across industries such as entertainment, technology, lifestyle, sports, and gaming, bringing clarity and strategic direction to complex business challenges.
Job Summary
We're hiring a Data Scientist/Senior Data Scientist to join a Marketing & Data Science team focused on advancing next-generation insights across entertainment, technology, and culture. In this role, you'll design, build, and scale AI/ML solutions that bring GenAI capabilities-including LLMs, RAG pipelines, and agentic workflows-into core research and insights products.
This is a hands-on, high-impact opportunity for someone who thrives on experimentation, communicates clearly and promptly, and can drive outcomes independently. You'll help shape and run experiments that answer complex questions, contribute to fine-tuning and evaluation of foundation models, and deploy performant, reliable ML systems that deliver measurable value. Responsibilities
Design and execute advanced AI/ML models - including fine-tuned LLMs and RAG architectures - for integration into both internal tooling and external client-facing products.
Lead experimentation efforts: clearly define hypotheses, design interpretable tests, analyze results rigorously, and communicate findings effectively.
Serve as the technical SME for GenAI/LLM-powered tools, from foundational architecture to model optimization and deployment.
Work with software and data engineering to productionize models and contribute to robust CI/CD pipelines with MLOps/LLMOps best practices.
Stay current on emerging methods in AI - eg, agentic workflows, memory-augmented systems, multimodal embeddings - and bring those ideas to life in real-world applications.
Promote AI adoption internally by educating and empowering cross-functional partners while improving processes and workflows.
Manage your time and projects effectively, ensuring clear progress updates and proactive communication with collaborators.
Write production-grade Python code to support models, pipelines, and experimental frameworks.
Work with the highest degree of ethics and empathy, recognizing that AI can be a potentially disruptive force for organizations and individuals Qualifications and Job Requirements
5+ years in data science, ML engineering, or related analytics roles.
Proven experience deploying machine learning models into production environments, ideally with LLMs or GenAI systems.
Bachelor's or higher degree in a quantitative field such as Computer Science, Engineering, Statistics, Mathematics, or related field.
Experience working with consumer data, especially within media, entertainment, or marketing research contexts is a strong plus.
Proficiency working with modern ML frameworks and GenAI stacks (eg, LangChain/LlamaIndex, HuggingFace Transformers, OpenAI APIs).
Experience building and fine-tuning models using domain-specific datasets, preferably including survey, behavioral, or audience data.
Familiarity with retrieval-augmented generation (RAG), vector databases, and agentic/multi-step reasoning workflows (eg, ReAct, AutoGPT, MCP frameworks).
Comfortable implementing MLOps/LLMOps practices: version control, experiment tracking, model deployment, and monitoring. 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.