Develops algorithms and applications, performs large scale experimentation, builds data driven apps to translate data into intelligence, and develops solutions for solving business problems using coding.
Incorporates predictive modeling, statistics and other analysis techniques for collecting, exploring, interpreting and extracting insights from structured and unstructured data.
Organizes, interprets and structures insights from data, detects data anomalies and makes corrections.
Performs descriptive statistical analysis, develops visualizations, applications, dashboards, or presentations and communicates insights in a clear and effective way to help the organization with better decision-making.
Supports troubleshooting service offerings using proprietary analytical platforms, commercial tools and custom scripts.
Drives the design, development and optimization of artificial intelligence/machine learning, deep learning training and inference frameworks, contributes to the research and development of data science activities and supports product development efforts as required.
Develops and programs methods, processes, and systems to consolidate and analyze diverse big data sources, establishing standard methodologies for data science including modeling, coding, analytics, and experimentation.
Explores, compiles, and collects data from new or known sources, sometimes in partnership with technical staff/engineers to derive useful insights and/or make predictions.
Works with development teams and business units to ensure models are scalable and can be implemented as part of the delivered solution across clients.
Skills
An advanced degree in Computer Science, Statistics, or a related field.
Strong knowledge in data science and machine learning methodologies.
Proficiency in programming languages like Python, R, and SQL.
Experience with big data tools like Hadoop, Spark, or similar technologies.
Excellent skills in data visualization and reporting.
Strong problem-solving skills and the ability to handle complex data analysis.
Good communication skills to effectively collaborate with other teams and stakeholders.
Several years of experience in a data science role, ideally in the retail industry.