Coordenador de Ciência de Dados leading the data team in developing analytical solutions for Caixa Vida e Previdência. Focused on data science and project coordination in a collaborative environment.
About the role
- Senior Data Scientist optimizing end-to-end personalization systems at JioStar. Collaborating with cross-functional teams to deliver personalized user experience for millions.
Responsibilities
- Analyze large-scale user behavior and content metadata to uncover actionable insights and build impactful personalization models.
- Design, develop, and deploy ML models including collaborative filtering, content-based recommendations, sequence models, and retrieval-ranking pipelines.
- Integrate models into production systems ensuring low-latency, high-accuracy performance at scale.
- Collaborate with engineers, product managers, designers, and data scientists to define personalization goals and drive feature impact across user journeys.
- Develop robust A/B test frameworks, analyze experiments, and drive iteration based on performance and user engagement.
- Actively monitor model performance, detect data drift, and refine strategies to improve long-term personalization quality.
- Leverage LLMs and embeddings to improve personalization for underrepresented content, new users, and diverse formats.
- Present technical strategies and results to cross-functional stakeholders and leadership.
Requirements
- Proven experience in data science and machine learning preferably in personalization or recommendation systems.
- Strong proficiency in Python, SQL, and relevant data science libraries (Pandas, Scikit-learn, TensorFlow, PyTorch, etc.)
- Expertise in building and deploying machine learning models into production systems.
- Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Google Cloud).
- Deep understanding of statistical analysis, machine learning, data mining, and predictive modeling techniques.
- Should be comfortable leveraging LLMs and internals.
- Strong problem-solving skills with the ability to translate business problems into data science solutions.
- Excellent verbal and written communication skills, with the ability to present complex information to non-technical stakeholders.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Lead and deliver AI initiatives focusing on traditional machine learning and generative AI for Mashreq Bank. Build, scale, and productionize models for business transformation and operational efficiency.
Data Scientist designing and implementing analytical solutions using Python and AI technologies. Collaborating cross - functionally to deliver Generative AI solutions for business needs in a hybrid setup.
Data Scientist developing predictive models and automation workflows for the mortgage lifecycle. Collaborating with cross - functional teams to enhance operational efficiency and customer outcomes.
Data Scientist developing machine learning models and analytics solutions to improve decisions in the mortgage lifecycle from acquisition to servicing. Collaborating with teams on predictive modeling and automation workflows.
Senior Manager in Data Science and Analytics leading statistical modeling for mortgage and consumer lending. Collaborating with teams to deliver data - driven insights and improve operational efficiency.
AR
Internship for AI in document processing at ArianeGroup, focusing on natural language processing and data analysis tasks in a collaborative environment.
Senior Data Scientist focused on Generative AI and LLM at Manulife. Develop and implement machine learning models to solve business problems and mentor peers.
Data Scientist specializing in AI and LLM technologies at F5, innovating security platforms through AI/ML development and collaboration.
Sr. Advanced Data Scientist leveraging advanced analytics and data science at Honeywell. Developing solutions for business growth and operational efficiency in the Atlanta office.