Senior Data Scientist role focusing on AI solutions and LLMs at Supergasbras. Collaborate on projects in clean energy for Brazil with innovative technologies.
About the role
- Data Scientist at Fusion92 designing and delivering advanced analytical solutions for marketing. Transforming complex data into actionable insights to enhance business outcomes.
Responsibilities
- Design, develop, and deploy predictive models, segmentation frameworks, and machine learning solutions to support marketing performance, targeting, and customer analytics.
- Analyze large, complex datasets to uncover insights that inform strategic and tactical business decisions.
- Build and maintain robust data pipelines to ensure clean, reliable, and well-structured data for analysis and modeling.
- Ensure model integrity and performance through validation, QA processes, documentation, and ongoing monitoring.
- Design and execute experiments (including A/B and multivariate tests) to evaluate campaign effectiveness and optimize outcomes.
- Partner with strategy, media, and client services teams to translate business needs into scalable, data-driven solutions.
- Present findings and recommendations through clear storytelling, visualizations, and executive-ready materials.
- Contribute to team development through collaboration, peer review, knowledge sharing, and cross-training.
- Stay current with emerging data science tools, techniques, and best practices, helping evolve the team’s capabilities and standards.
Requirements
- 3–5+ years of applied data science experience, ideally in marketing, media, or customer analytics environments.
- Advanced proficiency in SQL for complex querying and data manipulation.
- Strong Python skills for data analysis, modeling, automation, API integration, and production workflows.
- Hands-on experience with machine learning frameworks (e.g., scikit-learn, XGBoost) and cloud/data platforms (e.g., AWS, Azure, Snowflake).
- Strong foundation in statistics, experimental design, and computer science principles.
- Experience building and deploying models in production environments.
- Familiarity with marketing use cases such as audience segmentation, attribution modeling, audience creation, and trade area analysis.
- Experience with Alteryx is a strong plus.
- Experience with visualization tools such as Tableau (or similar BI tools) is a plus.
- Strong problem-solving skills, attention to detail, and the ability to work independently and collaboratively.
Benefits
- Competitive salary
- Flexible hybrid work arrangements
- Professional development opportunities
- Health insurance
- Paid time off
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Lead data science team for AI Search recommendations at Peec AI. Responsible for end - to - end ML lifecycle and technical leadership.
Data Scientist responsible for training models and developing algorithms to boost AI search visibility for brands. Collaborate closely with engineering to integrate ML solutions in a fast - growing startup environment.
Lead Data Scientist driving the development of personalization and recommendation systems at GoPay. Collaborating with Product and Engineering teams to deploy scalable ML pipelines.
Director of Product Analytics at Collinson, leveraging data to influence product strategy and decisions. Collaborate with product leadership to drive customer and commercial impacts through analytics.
AI Data Scientist focused on pioneering AI - driven solutions for The Hartford. Implementing advanced use cases and driving innovation with cutting - edge AI tools.
Data Scientist within Jellyfish’s Cloud and Martech practice designing measurement and predictive analytics solutions that improve client performance. Engage with complex data challenges to assist in strategic decision - making.
Senior Manager, Data Science leading a team in analytics and machine learning at QVC Group. Involves managing projects across retail, customer experience, and finance.
Principal Product Data Analyst at Adobe focusing on product analytics and decision support. Integrating data products that enhance user experience and drive product innovation.
Senior Data Scientist responsible for developing models for banking optimization and analyzing large datasets. Collaborating with multiple teams to provide strategic insights and mentorship.