Senior Power BI Data Scientist

As a Senior Data Scientist at GBS Commercial, your role involves leading the development of data-driven products and analytical solutions to support sales and business operations. You will be responsible for designing, building, and scaling robust data science and machine learning solutions that directly impact business outcomes. **Key Responsibilities:** - Lead the end-to-end design, development, and deployment of data products, predictive models, and analytics solutions tailored to business needs. - Drive the roadmap for data science initiatives, from ideation through to production and ongoing enhancement. - Collaborate with engineering and product teams to integrate machine learning models and analytics into scalable products. - Manage, mentor, and develop a team of data scientists, analysts, and engineers, fostering a high-performance, inclusive culture. - Oversee performance management, career development, and upskilling initiatives within the team. - Provide training, support, and troubleshooting to ensure smooth adoption and usage of applications. - Partner closely with cross-functional stakeholders (Sales, Marketing, IT, Operations) to understand business requirements and translate them into actionable analytics and product solutions. - Present insights and recommendations to senior leadership, enabling data-driven decision making. - Continuously monitor application performance, identify bottlenecks, and implement optimizations for better efficiency and scalability. - Propose new features and enhancements to improve user experience and streamline business processes. - Maintain comprehensive technical documentation, including data/model pipelines, architecture diagrams, and user guides. - Provide ongoing technical support for deployed solutions, including debugging, performance tuning, and version control. - Ensure system stability, security, and compliance with relevant data governance standards. **Qualifications Required:** - Programming: Proficiency in Python (Pandas, scikit-learn, PySpark), SQL - Machine Learning: Experience in end-to-end ML model development & deployment - Data Engineering: Knowledge of ETL pipelines, data modeling, Spark/Airflow (preferred) - Experience with Flask/FastAPI and integration with business applications - Cloud & DevOps: Familiarity with AWS/Azure/GCP, Docker, CI/CD (GitHub Actions, Jenkins) - Databases: Working knowledge of PostgreSQL, MySQL, NoSQL (desirable) - Proficiency in Power BI, Tableau, or similar tools (preferred) - Ability in storytelling with Data: Convey insights through impactful data visualizations and clear narratives - Good to have: Experience with LLMs, GenAI, or agent frameworks You will work closely with internal stakeholders across various business zones, including sales, marketing, IT, and operations, to understand requirements and ensure solutions align with business goals. Demonstrating adaptability to changes in business needs and technological advancements is essential. And don't forget, an undying love for beer! As a Senior Data Scientist at GBS Commercial, your role involves leading the development of data-driven products and analytical solutions to support sales and business operations. You will be responsible for designing, building, and scaling robust data science and machine learning solutions that directly impact business outcomes. **Key Responsibilities:** - Lead the end-to-end design, development, and deployment of data products, predictive models, and analytics solutions tailored to business needs. - Drive the roadmap for data science initiatives, from ideation through to production and ongoing enhancement. - Collaborate with engineering and product teams to integrate machine learning models and analytics into scalable products. - Manage, mentor, and develop a team of data scientists, analysts, and engineers, fostering a high-performance, inclusive culture. - Oversee performance management, career development, and upskilling initiatives within the team. - Provide training, support, and troubleshooting to ensure smooth adoption and usage of applications. - Partner closely with cross-functional stakeholders (Sales, Marketing, IT, Operations) to understand business requirements and translate them into actionable analytics and product solutions. - Present insights and recommendations to senior leadership, enabling data-driven decision making. - Continuously monitor application performance, identify bottlenecks, and implement optimizations for better efficiency and scalability. - Propose new features and enhancements to improve user experience and streamline business processes. - Maintain comprehensive technical documentation, including data/model pipelines, architecture diagrams, and user guides. - Provide ongoing technical support for deployed solutions, including debugging, performance tuning, and version control. - Ensure system stability, security, and compliance with relevant data governance standards. **Qualifications Requ