Sr. Analyst - 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 assist the retail business in making data-driven decisions. You will collaborate with various teams including marketing, product management, supply chain, and customer insights to drive business strategies and innovations. Your role will involve leveraging your retail industry knowledge, gathering and cleaning data from multiple sources, applying machine learning algorithms, and using AI techniques for personalization, demand forecasting, and fraud detection. Additionally, you will be required to stay updated on the latest trends in data science and retail technology to contribute effectively to the team.**Key Responsibilities:**- Utilize deep understanding of the retail industry to design AI solutions addressing critical business needs- Gather and clean data from diverse retail sources for analysis- Apply machine learning algorithms for predictive modeling- Implement AI-driven techniques for personalization, demand forecasting, and fraud detection- Use advanced statistical methods to optimize existing use cases and develop new products- Stay informed about 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:**- Bachelors or Masters degree in Data Science, Statistics, Computer Science, Mathematics, or related field- Minimum 3 years of experience in retail analytics- Solid understanding of retail industry dynamics and key performance indicators- Strong communication skills for presenting complex data insights to non-technical stakeholders- Proficiency in Python for data manipulation, statistical analysis, and machine learning- Experience in supervised and unsupervised learning algorithms- Familiarity with big data processing platforms like Apache Spark, Hadoop, or cloud-based platforms such as AWS or Google Cloud- Experience with ETL processes and tools like Apache Airflow- Proficiency in tools like Tableau, Power BI, Matplotlib, and Seaborn for creating data visualizationsThis summary outlines the role, responsibilities, and qualifications required for the Retail Specialized Data Scientist position at Level 9 in the SnC GN Data & AI team. 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 assist the retail business in making data-driven decisions. You will collaborate with various teams including marketing, product management, supply chain, and customer insights to drive business strategies and innovations. Your role will involve leveraging your retail industry knowledge, gathering and cleaning data from multiple sources, applying machine learning algorithms, and using AI techniques for personalization, demand forecasting, and fraud detection. Additionally, you will be required to stay updated on the latest trends in data science and retail technology to contribute effectively to the team.**Key Responsibilities:**- Utilize deep understanding of the retail industry to design AI solutions addressing critical business needs- Gather and clean data from diverse retail sources for analysis- Apply machine learning algorithms for predictive modeling- Implement AI-driven techniques for personalization, demand forecasting, and fraud detection- Use advanced statistical methods to optimize existing use cases and develop new products- Stay informed about 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:**- Bachelors or Masters degree in Data Science, Statistics, Computer Science, Mathematics, or related field- Minimum 3 years of experience in retail analytics- Solid understanding of retail industry dynamics and key performance indicators- Strong communication skills for presenting complex data insights to non-technical stakeholders- Proficiency in Python for data manipulation, statistical analysis, and machine learning- Experience in supervised and unsupervised learning algorithms- Familiarity with big data processing platforms like Apache Spark, Hadoop, or cloud-based platforms such as AWS or Google Cloud- Experience with ETL processes and tools like Apache Airflow- Proficiency in tools like Tableau, Power BI, Matplotlib, and Seaborn for creating data visualizationsThis summary outlines the role, responsibilities, and qualifications required for the Retail Specialized Data Scientist position at Level 9 in the SnC GN Data & AI team.

Keyskills :
PythonNumPyApache SparkHadoopAWSETLTableauPower BIMatplotlibPandasScikitlearnGoogle CloudApache Airflow