Data Scientist - Vice President - Data & Analytics Engineering

ts. ### Experience with cloud platforms (e.g., AWS, GCP, Azure) for data storage, processing, and model deployment is beneficial. ### Excellent communication and collaboration skills, with the ability to explain complex technical concepts to diverse audiences. ### Strong attention to detail, analytical thinking, and problem-solving abilities. ### Experience working on large-scale data science projects or in industry domains such as finance, healthcare, retail, or technology. ### Familiarity with MLOps practices, model versioning, and monitoring tools. ### Knowledge of natural language processing (NLP), computer vision, or time-series analysis. ### Contributions to open-source projects or publications in relevant conferences/journals. ### Develop and maintain data pipelines and ETL processes to ensure reliable and scalable data flow where applicable. ### Analytical Expertise: Comfortable working with large datasets, extracting meaningful insights, and interpreting ambiguous data patterns. ### Technical Proficiency: Deep understanding of machine learning, statistical modeling, and data engineering principles. ### Communication: Excellent written and verbal communication skills, with the ability to present insights effectively to senior leadership and non-technical stakeholders. ### Collaboration: Team-oriented mindset, capable of building strong partnerships with colleagues across various departments. ### Innovation: Commitment to creative problem-solving and willingness to experiment with novel approaches and technologies. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://https://www.morganstanley.com/about-us/global-offices into your browser. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents. ETS also delivers all workplace technologies (desktop, mobile, voice, video, productivity, intranet/internet) in integrated configurations that boost the personal productivity of employees. Architecture & Modernization Architecture & Modernization Drives development of the global firm strategy to define modern architectures and guardrails to reduce legacy debt, while partnering with app dev to accelerate the adoption of modern capabilities Data & Analytics Engineering This is Vice President position that provides specialist data analysis and expertise that drive decision-making and business insights as well as crafting data pipelines, implementing data models, optimizing data processes for improved data accuracy and accessibility, including applying machine learning and AI-based techniques. ### Collect, process, and analyze large volumes of structured and unstructured data from diverse sources. * Develop and implement machine learning algorithms and statistical models specifically aimed at analyzing technology metrics, such as system performance, resource utilization, adherence to technology principles etc there by helping achieve improved resource utilization, boosting system reliability, reducing technical debt etc .