Lead Data Scientist (GenAI)

TL;DR

Lead Data Scientist (GenAI/ML): Building the data science function for a new product from the ground up with an accent on Task Mining, Process Mining, and behavioral workflow analysis. Focus on designing end-to-end intelligent systems and transforming raw interaction data into measurable business impact.

Location: Remote (South America or Europe). No visa sponsorship or assistance provided.

Company

hirify.global is a global network of top talent that enables companies to scale their teams on-demand through the world's largest fully remote workforce.

What you will do

• Act as the founding Data Scientist to define the DS strategy, tools, frameworks, and best practices for a new product.
• Design and build Task Mining and Process Mining solutions to transform interaction data into discovered workflows and optimization opportunities.
• Develop and deploy ML systems and data pipelines for large-scale structured, unstructured, and event-based data.
• Build predictive and pattern-discovery solutions using supervised/unsupervised learning and GenAI/LLM approaches.
• Establish foundations for dataset construction, labeling strategies, evaluation, and monitoring loops.
• Collaborate with engineering on data instrumentation and production deployment of intelligent services.

Requirements

• 5+ years of professional experience in Data Science, Machine Learning, or Applied ML.
• Experience acting as a sole or lead Data Scientist, owning problems end-to-end without senior supervision.
• Advanced proficiency in Python and SQL, with hands-on experience in PyTorch, scikit-learn, and pandas/Polars.
• Demonstrated experience deploying ML models and data pipelines into production.
• Must be based in South America or Europe.
• English: C1+ proficiency required (resumes and communication must be in English).

Nice to have

• Previous experience as an early Data Scientist hire at a startup or new product line.
• Direct experience with workflow intelligence, RPA, or productivity analytics.
• Experience with LLMs, Generative AI evaluation, and human-in-the-loop workflows.
• Knowledge of MLOps, distributed processing frameworks (Spark), and GCP.

Culture & Benefits

• 100% remote work environment.
• Support structure designed to encourage innovation, social interaction, and fun.
• Fast-paced, borderless company culture that values breaking the mold.