Data Scientist leveraging data analytics and machine learning to improve fraud detection systems at Barclays. Collaborating with stakeholders to enhance operational efficiency and strategic decision - making.
About the role
- Senior Data Scientist developing scalable AI solutions across multiple business units in Houston, TX. Partnering with leaders and mentoring junior staff for actionable business insights.
Responsibilities
- Partner with business leaders to identify high-value opportunities, formulate requirements and rationalize analytical approaches to solve them
- Develop a firm understanding of specific business processes and real-world workflows, which may include manufacturing, supply chain, accounting and other related functions
- Work closely with cross-functional teams including domain experts, business analysts, data engineers and software engineers
- Lead data science initiatives that impact operations across multiple business units and global regions
- Define project scope, timelines and deliverables in collaboration with business leaders
- Architect scalable machine learning and AI solutions within cloud platforms such as AWS, Azure, Databricks, and Snowflake
- Ensure models are production-ready, robust, and maintainable with appropriate monitoring and retraining pipelines
- Develop standardized methodologies and frameworks to ensure scalability and consistency across diverse environments
- Ensure compliance with data governance, privacy, and security standards while scaling analytics solutions globally
- Manage and mentor interns, junior data scientists and analysts
- Present clear, compelling visualizations and executive summaries tailored to non-technical audiences
- Translate advanced analytics results into strategic recommendations for VP and C-level leadership
- Utilize programming languages such as SQL, Python for data manipulation, analysis and model development
Requirements
- Master’s degree in a quantitative discipline
- Five or more years of professional data science experience, with a track record of leading high-impact projects
- Proven ability to communicate complex or technical concepts clearly to both technical and non-technical audiences
- Advanced proficiency in Python, SQL and PySpark
- Deep expertise in machine learning, deep learning, optimization, and statistical modeling
- Familiarity with emerging trends such as generative AI and responsible AI
- Experience deploying enterprise-scale solutions in cloud environments (AWS experience preferred)
- Proficient in at least one data visualization library such as Matplotlib, Seaborn, or Plotly
- Knowledge of Streamlit for building interactive data applications preferred
- Familiarity with MLOps practices, CI/CD pipelines, and model lifecycle management
- Demonstrated ability to drive business impact and ROI through analytics
- Strong track record of executive-level communication and influence
- Experience leading cross-functional teams across multiple geographies
- Strong understanding of manufacturing operations, supply chain optimization and ERP systems
Job title
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