S&C Global Network - AI - Retail - Consultant - Retail Specialized Data Scientist

Job Title - Retail Specialized Data Scientist – Level 9 – SnC GN Data & AIManagement Level: 09 - ConsultantLocation: Bangalore / Gurgaon / Mumbai / Chennai / Pune / Hyderabad / KolkataMust have skills:

• A solid understanding of retail industry dynamics, including key performance indicators (KPIs) such as sales trends, customer segmentation, inventory turnover, and promotions.
• Strong ability to communicate complex data insights to non-technical stakeholders, including senior management, marketing, and operational teams.
• Meticulous in ensuring data quality, accuracy, and consistency when handling large, complex datasets.
• Gather and clean data from various retail sources, such as sales transactions, customer interactions, inventory management, website traffic, and marketing campaigns.
• Strong proficiency in Python for data manipulation, statistical analysis, and machine learning (libraries like Pandas, NumPy, Scikit-learn).
• Expertise in supervised and unsupervised learning algorithms
• Use advanced analytics to optimize pricing strategies based on market demand, competitor pricing, and customer price sensitivity.Good to have skills:
• Familiarity with big data processing platforms like Apache Spark, Hadoop, or cloud-based platforms such as AWS or Google Cloud for large-scale data processing.
• Experience with ETL (Extract, Transform, Load) processes and tools like Apache Airflow to automate data workflows.
• Familiarity with designing scalable and efficient data pipelines and architecture.
• Experience with tools like Tableau, Power BI, Matplotlib, and Seaborn to create meaningful visualizations that present data insights clearly.Job Summary:

The Retail Specialized Data Scientist will play a pivotal role in utilizing advanced analytics, machine learning, and statistical modeling techniques to help our retail business make data-driven decisions. This individual will work closely with teams across marketing, product management, supply chain, and customer insights to drive business strategies and innovations. The ideal candidate should have experience in retail analytics and the ability to translate data into actionable insights. Roles & Responsibilities:

• Leverage Retail Knowledge: Utilize your deep understanding of the retail industry (merchandising, customer behavior, product lifecycle) to design AI solutions that address critical retail 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, such as classification, clustering, regression, and deep learning, to enhance predictive models.