Asst Dir-Data Scientist (Accounting)

Job description Skills and Competencies Strong expertise in financial statements and accounting concepts, including the ability to translate accounting signals into model features, risk indicators, and analytical insights Demonstrated expertise in econometrics, statistics, and quantitative modeling, with the ability to determine when deep learning, traditional approaches, or hybrid methodologies are appropriate based on business context and data availability Excellent written and verbal communication skills in English, with the ability to distill complex modeling concepts into clear, audience-appropriate messages for senior leaders and non-technical stakeholders Strong programming skills in Python or R and experience leveraging productivity and analytical tools Experience working with large-scale datasets and applying advanced analytical techniques to solve business problems Exposure to cloud platforms such as AWS, GCP, or Azure and familiarity with scalable data environments preferred Experience with production machine learning systems and model deployment lifecycle preferred Deep expertise in artificial intelligence, with a track record of implementing advanced AI solutions to drive strategic transformation and operational efficiency. Strong experience using AI tools to lead innovation initiatives. Demonstrated leadership in managing AI-related risks, ensuring ethical governance, and fostering a culture of responsible AI adoption across the organization 【1-60c7a0】 Education Ph.D. in Economics, Finance, Accounting, or a related quantitative field Alternatively, a Master's degree in one of these fields with 2-3 years of experience in the financial industry Responsibilities This role is responsible for developing advanced analytical models and data-driven solutions to support financial insights and strategic decision-making. Develop and implement statistical, econometric, and machine learning models to analyze financial and business data Translate complex financial and accounting concepts into quantitative features and predictive modeling frameworks Evaluate and select appropriate modeling approaches based on business objectives, data characteristics, and interpretability requirements Collaborate with cross-functional teams to deliver insights and solutions that drive business outcomes Communicate analytical findings clearly to technical and non-technical stakeholders, including senior leadership Contribute to the development and maintenance of scalable data science workflows and production systems Stay current with emerging trends in analytics, artificial intelligence, and financial modeling to continually enhance capabilities Ensure adherence to best practices in model governance, validation, and ethical use of data and AI technologies About the Team The Analytics & Modeling team focuses on delivering high-impact analytical solutions that support financial analysis and risk assessment across the organization. The team combines deep domain expertise with advanced data science techniques to generate insights, improve decision-making, and drive innovation. By joining this team, you will work on complex, data-driven challenges in a collaborative environment that values continuous learning and responsible adoption of advanced technologies. Keywords competencies financial-statements deep-learning python r amazon-web-services google-cloud-platform good-clinical-practice-gcp microsoft-azure machine-learning artificial-intelligence cyber-intelligence operational-efficiency responsible-ai clubs-organizations education-training predictive-modeling objectives-and-key-results explainability business-outcomes training-and-development maintenance-repair-and-operations-mro data-science analytics data-analytics policies-and-practices model-governance testing-and-analysis financial-analysis risk-analysis risk-assessment assessment-assessment-tools domain-expertise environment-health-and-safety-hsse ecology-environment continuous-learning sap-successfactors