Data Scientist

Job Title: Data Scientist Job Description This senior Data Scientist role (10 to 15 years of experience) plays a pivotal part in driving data-informed decision-making by leveraging advanced analytics, machine learning, and statistical modeling. The position combines deep technical expertise with strategic leadership to design, build, and operationalize robust data science solutions that support critical business and operational use cases. You will lead end-to-end model development and deployment, guide data science best practices, mentor junior team members, and help shape the long-term data strategy and data-driven culture within the organization. Responsibilities Expertly handle complex and large-scale datasets, performing in-depth data analysis to derive actionable insights using advanced statistical and machine learning techniques. Develop, test, and maintain sophisticated machine learning, statistical, and time-series models for use cases such as anomaly detection, predictive maintenance, and operational reliability analysis. Apply rigorous validation techniques to ensure models are explainable, reliable, and appropriate for operational decision support, including robust statistical validation of key business decisions. Monitor model performance over time, diagnose model drift, and support controlled updates as data, systems, and operational conditions evolve. Design and implement end-to-end analytics workflows in a cloud-based Lakehouse environment using Azure Databricks and scalable Spark-based processing for large and complex operational datasets. Build and maintain data pipelines and feature datasets aligned with enterprise medallion architecture standards to support consistent, reliable, and reusable analytics assets. Lead feature engineering efforts to identify, create, and select critical data features that enhance the predictive power and stability of machine learning models. Develop and optimize machine learning algorithms, including deep learning, ensemble methods, and neural networks, to solve complex business and operational problems. Oversee the deployment of machine learning models into production environments to support real-time or near-real-time decision-making and business applications. Design and analyze controlled experiments and A/B tests to measure the impact of changes, optimizations, and improvements on key performance indicators. Create compelling data visualizations and dashboards using tools such as Tableau, Power BI, or custom Python visualizations to clearly communicate complex findings to diverse stakeholders. Collaborate with IT and data engineering teams to integrate and access data from various sources, data lakes, and data warehouses, ensuring high data quality and consistency. Design analytics solutions that adhere to data governance, access control, auditability, and data handling standards, ensuring all analytical outputs are traceable to approved inputs. Operate within platform security constraints to limit uncontrolled data ingress, egress, and access, maintaining compliance with enterprise and regulatory expectations. Support the implementation of approved AI-enabled analytics and search capabilities, including retrieval-based techniques, ensuring solutions remain verifiable, transparent, and compliant. Ensure ethical data practices and adherence to data ethics, privacy, and compliance requirements across all data science initiatives. Partner with engineers, IT leaders, platform teams, business analysts, domain experts, and executives to translate operational and business questions into well-defined analytical approaches. Participate in technical design and architecture discussions, contributing data science and analytics perspectives to broader technology and platform decisions. Produce clear, comprehensive technical documentation covering models, data pipelines, assumptions, limitations, and operational procedures to support long-term maintenance and support. Provide mentorship and guidance to junior data scientists and analysts, fostering their technical growth and professional development. Act as a strategic leader in promoting a data-driven culture, defining the data science roadmap, and contributing to the organization’s long-term data and analytics strategy. Stay current with the latest data science tools, techniques, frameworks, and industry trends, and evaluate new technologies to continuously improve data science practices. Essential Skills 10 to 15 years of experience in data science, including a strong track record of implementing data solutions and driving data-driven decision-making. Master’s degree in Data Science, Computer Science, Eng