Senior Data Scientist - Predictive/Statistical Model

In this role, you will be responsible for architecting, developing, and validating sophisticated statistical and econometric models to drive predictive forecasting, assess risk, and inform critical business strategy. You will own the entire modeling lifecycle, from hypothesis generation and data discovery through to production deployment, monitoring, and iterative improvement. Your key responsibilities will include: - Leading the end-to-end design and implementation of scalable machine learning solutions to solve complex business challenges, applying advanced techniques in areas like NLP, deep learning, or time-series analysis. - Establishing and championing MLOps best practices to ensure the robustness, scalability, and maintainability of AI/ML systems. - Translating ambiguous, high-level business questions into concrete analytical frameworks and quantitative research plans. - Conducting deep-dive exploratory analyses to uncover novel insights, identify strategic opportunities, and quantify potential business impact. - Acting as a strategic partner and quantitative advisor to senior leadership and cross-functional teams (e.g., Product, Finance, Marketing). - Developing and presenting compelling data narratives and visualizations to communicate complex quantitative concepts and findings to executive and non-technical audiences. - Defining and enforcing data quality frameworks and validation strategies for critical datasets used in modeling and analysis. - Collaborating with data engineering to architect and optimize data pipelines, ensuring the integrity and accessibility of data for the entire analytics organization. Qualifications required for this role: - Demonstrated expertise in leading the full lifecycle of data-driven projects, from formulating ambiguous questions to deploying models and measuring their financial or operational impact. - Extensive experience architecting solutions for large-scale, complex datasets and applying advanced analytical techniques to drive strategic outcomes. If you are looking for a challenging opportunity in quantitative finance, data science, econometrics, or a similar advanced analytical field, with 6-10 years of professional experience, this role in the manufacturing industry, preferably auto & ancillary business, could be the perfect fit for you. In this role, you will be responsible for architecting, developing, and validating sophisticated statistical and econometric models to drive predictive forecasting, assess risk, and inform critical business strategy. You will own the entire modeling lifecycle, from hypothesis generation and data discovery through to production deployment, monitoring, and iterative improvement. Your key responsibilities will include: - Leading the end-to-end design and implementation of scalable machine learning solutions to solve complex business challenges, applying advanced techniques in areas like NLP, deep learning, or time-series analysis. - Establishing and championing MLOps best practices to ensure the robustness, scalability, and maintainability of AI/ML systems. - Translating ambiguous, high-level business questions into concrete analytical frameworks and quantitative research plans. - Conducting deep-dive exploratory analyses to uncover novel insights, identify strategic opportunities, and quantify potential business impact. - Acting as a strategic partner and quantitative advisor to senior leadership and cross-functional teams (e.g., Product, Finance, Marketing). - Developing and presenting compelling data narratives and visualizations to communicate complex quantitative concepts and findings to executive and non-technical audiences. - Defining and enforcing data quality frameworks and validation strategies for critical datasets used in modeling and analysis. - Collaborating with data engineering to architect and optimize data pipelines, ensuring the integrity and accessibility of data for the entire analytics organization. Qualifications required for this role: - Demonstrated expertise in leading the full lifecycle of data-driven projects, from formulating ambiguous questions to deploying models and measuring their financial or operational impact. - Extensive experience architecting solutions for large-scale, complex datasets and applying advanced analytical techniques to drive strategic outcomes. If you are looking for a challenging opportunity in quantitative finance, data science, econometrics, or a similar advanced analytical field, with 6-10 years of professional experience, this role in the manufacturing industry, preferably auto & ancillary business, could be the perfect fit for you.