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

Data Scientist
Pune, Mumbai, Hyderabad, Gurugram, Chennai, Bengaluru
October 13, 2025
Full Time
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Job Description

Must 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

Professional & Technical Skills:

  • 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 to interact with both technical and non-technical stakeholders.
  • A 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)