Data Scientist leading advanced ML and AI solutions at Vibra Energia. Responsible for data capabilities and automation impacting business outcomes.
About the role
- Senior Data Scientist developing machine learning solutions for business insights from unstructured data in a hybrid setting. Collaborating across teams for impactful data analytics and implementation.
Responsibilities
- Work with unstructured or semi-structured data (documents, reports, free text, etc.) to extract information, classify content and detect patterns.
- Design, develop and deploy machine learning models and LLM-based solutions for real business use cases (e.g., entity extraction, summarization, classification, risk analysis, workflow automation).
- Build end-to-end data and ML pipelines on scalable platforms (e.g., Databricks or equivalents), including ingestion, cleaning, feature engineering, modeling, validation, deployment and monitoring.
- Collaborate with business and technology teams to define problems, success metrics and measure impact.
- Ensure best practices for data quality, governance, privacy and responsible AI use.
- Communicate technical results clearly to non-technical audiences, linking analyses to business decisions.
Requirements
- Degree in quantitative or technology-related fields (Computer Science, Engineering, Statistics, Mathematics, Data Science or related).
- Practical experience in data science or machine learning with production projects.
- Experience with LLMs, including API usage, prompt engineering, result evaluation and pipeline integration.
- Proficiency in Python (pandas, numpy, scikit-learn, ML/LLM frameworks) and SQL.
- Experience with cloud data environments or distributed processing platforms (e.g., Databricks, Spark, Azure, GCP, AWS).
- Strong communication skills and the ability to translate analyses into business value.
- Experience with MLOps (deployment, monitoring, versioning, retraining) is a plus.
- Knowledge of explainability, algorithmic bias and model governance is a plus.
- Experience with sensitive data or regulated environments is a plus.
- Familiarity with visualization tools or modern data architecture is a plus.
Benefits
- 13 invoices issued per year
- Company-provided equipment
- 30 days of paid leave after 12 months
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Data Scientist focusing on building AI - powered tools used by teams across the bank globally. Leveraging ML models for efficiency, decision - making, and collaboration.
Senior Data Scientist designing and deploying GenAI solutions at AVL Maroc. Integrating AI into systems and ensuring compliance with performance and safety standards.
Data Science Analyst optimizing processes and enhancing performance for BRB Seguros. Involved in data analysis, model creation, and channel performance improvement.
Principal Data Scientist at AI & Data Engineering team responsible for building autonomous AI agents and enterprise copilots to automate tasks. Collaborates with various teams and employs design thinking principles.
Lead Solution Architect for AI - enabled applications, transforming monitoring environments into proactive ecosystems with Generative AI agents.
Lead Data Scientist driving ML and data science initiatives for advertising technology at Disney. Collaborating with a team to enhance ad decisioning and user experience optimization with generative AI.
Data Science and AI student engaged in data processing and management. Open to candidates in Germany, starting in 2026, with supportive environment for development.
Data Scientist II providing actionable insights through advanced analytics and consulting with stakeholders at Truist. Conducting statistical analyses and developing predictive models using structured and unstructured data.
Senior Responsible AI Data Scientist focusing on ethical AI within Humana to drive responsible AI initiatives across the organization. Partnering with teams to implement innovative and compliant AI solutions in healthcare.