Data Scientist

About the Role We are seeking an experienced Data Scientist to join our team and drive impactful data-driven insights that inform strategic business decisions. This role requires a blend of technical expertise, analytical rigor, and excellent communication skills to collaborate effectively across technical and non-technical stakeholders. Key Responsibilities • Design, develop, and deploy machine learning models to solve complex business problems • Explore and implement generative AI solutions to enhance analytical capabilities and business processes • Create advanced, interactive visualizations and dashboards to communicate insights to diverse audiences • Collaborate with cross-functional teams to understand business needs and translate them into analytical solutions • Conduct rigorous statistical analyses to validate findings and ensure data integrity • Lead stakeholder engagement, presenting complex technical concepts in accessible ways • Mentor junior team members and contribute to the growth of the data science practice • Deploy and maintain models in cloud-based environments • Drive end-to-end project delivery from problem definition through implementation Required Qualifications • Python Proficiency: Expert-level skills in Python for data analysis, modeling, and automation (required) • Data Manipulation & Processing: Strong proficiency in pandas for data analysis and PySpark for large-scale distributed data processing • SQL: Advanced SQL skills for data extraction, transformation, and analysis across various database systems • Statistics: Strong foundation in statistical methods, experimental design, and hypothesis testing (required) • Machine Learning: Hands-on experience building, training, and deploying ML models in production environments • Advanced Visualization: Proficiency with Plotly and Plotly Dash for creating interactive, production-grade visualizations • Cloud Technologies: Experience with cloud platforms (AWS, Azure, or GCP) for data processing and model deployment • Communication Skills: Exceptional ability to communicate technical findings to both technical and non-technical audiences • Stakeholder Management: Proven track record of managing stakeholder relationships and driving alignment • Education: Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, or related quantitative field; advanced degree (Master's or PhD) preferred Preferred Qualifications • Generative AI: Experience with large language models (LLMs), prompt engineering, and GenAI applications • Experience with graph databases and graph analytics • Knowledge of network analysis and graph-based algorithms • Experience in financial services or regulated industries • Familiarity with MLOps and model monitoring best practices