Retail Specialized Data Scientist

Job Description

As a Retail Specialized Data Scientist at Level 9 in the SnC GN Data & AI team, you will be responsible for utilizing advanced analytics, machine learning, and statistical modeling techniques to enable data-driven decision-making within the retail industry. Your role will involve collaborating with various teams across marketing, product management, supply chain, and customer insights to drive business strategies and innovations. Your experience in retail analytics and ability to translate data into actionable insights will be crucial for success in this role.**Key Responsibilities:**- Leverage Retail Knowledge: Utilize your deep understanding of the retail industry to design AI solutions addressing critical business needs.- Gather and clean data from various retail sources such as sales transactions, customer interactions, inventory management, website traffic, and marketing campaigns.- Apply machine learning algorithms for tasks including classification, clustering, regression, and deep learning to enhance predictive models.- Utilize AI-driven techniques for personalization, demand forecasting, and fraud detection.- Employ advanced statistical methods to optimize existing use cases and develop new products for evolving challenges.- Stay updated on the latest trends in data science and retail technology.- Collaborate with executives, product managers, and marketing teams to translate insights into actionable business strategies.**Qualifications Required:**- Strong analytical and statistical skills.- Expertise in machine learning and AI.- Experience with retail-specific datasets and KPIs.- Proficiency in data visualization and reporting tools.- Ability to work with large datasets and complex data structures.- Strong communication skills for interaction with technical and non-technical stakeholders.- Solid understanding of the retail business and consumer behavior.- Programming Languages: Python, R, SQL, Scala.- Data Analysis Tools: Pandas, NumPy, Scikit-learn, TensorFlow, Keras.- Visualization Tools: Tableau, Power BI, Matplotlib, Seaborn.- Big Data Technologies: Hadoop, Spark, AWS, Google Cloud.- Databases: SQL, NoSQL (MongoDB, Cassandra).**Additional Information:**Accenture is a leading global professional services company, providing a broad range of services in strategy, consulting, digital, technology, and operations. With a strong emphasis on innovation and cutting-edge technology, Accenture offers a dynamic work environment where individuals can thrive and make a significant impact in the respective fields. As a Retail Specialized Data Scientist at Level 9 in the SnC GN Data & AI team, you will be responsible for utilizing advanced analytics, machine learning, and statistical modeling techniques to enable data-driven decision-making within the retail industry. Your role will involve collaborating with various teams across marketing, product management, supply chain, and customer insights to drive business strategies and innovations. Your experience in retail analytics and ability to translate data into actionable insights will be crucial for success in this role.**Key Responsibilities:**- Leverage Retail Knowledge: Utilize your deep understanding of the retail industry to design AI solutions addressing critical business needs.- Gather and clean data from various retail sources such as sales transactions, customer interactions, inventory management, website traffic, and marketing campaigns.- Apply machine learning algorithms for tasks including classification, clustering, regression, and deep learning to enhance predictive models.- Utilize AI-driven techniques for personalization, demand forecasting, and fraud detection.- Employ advanced statistical methods to optimize existing use cases and develop new products for evolving challenges.- Stay updated on the latest trends in data science and retail technology.- Collaborate with executives, product managers, and marketing teams to translate insights into actionable business strategies.**Qualifications Required:**- Strong analytical and statistical skills.- Expertise in machine learning and AI.- Experience with retail-specific datasets and KPIs.- Proficiency in data visualization and reporting tools.- Ability to work with large datasets and complex data structures.- Strong communication skills for interaction with technical and non-technical stakeholders.- Solid understanding of the retail business and consumer behavior.- Programming Languages: Python, R, SQL, Scala.- Data Analysis Tools: Pandas, NumPy, Scikit-learn, TensorFlow, Keras.- Visualization Tools: Tableau, Power BI, Matplotlib, Seaborn.- Big Data Technologies: Hadoop, Spark, AWS, Google Cloud.- Databases: SQL, NoSQL (MongoDB, Cassandra).**Additional Information:**Accenture is a leading global professional services company, providing a broad range of services in strategy, consulting, digital, technology, and operations. With a strong emphasis on

Keyskills :
PythonMachine LearningStatistical AnalysisData ManipulationUnsupervised LearningAdvanced AnalyticsData VisualizationApache SparkHadoopAWSTableauPower BIMatplotlibRetail Industry KnowledgeData Quality ManagementSupervised LearningPricing St