Data scientist Full Time

Responsibilities : Data Cleansing and Preparation :

• Develop and implement robust data cleansing and preprocessing pipelines to ensure data quality and consistency.
• Extract, transform, and load (ETL) data from various sources, including POS systems, inventory management systems, and customer databases.
• Identify and resolve data anomalies, inconsistencies, and missing values.
• Create and maintain comprehensive data documentation.

Retail CPG Analysis :

• Conduct in-depth analysis of sales, inventory, and customer data to identify trends, patterns, and opportunities.
• Develop and implement predictive models for demand forecasting, inventory optimization, and customer segmentation.
• Analyze the impact of marketing campaigns and promotional activities on sales and customer behavior.
• Generate actionable insights and recommendations to optimize business performance.

Agentic Frameworks :

• Research, evaluate, and implement Agentic frameworks to automate data analysis and decision-making processes.
• Develop and deploy intelligent agents for tasks such as data extraction, anomaly detection, and report generation.
• Integrate Agentic frameworks with existing data pipelines and analytical tools.
• Explore and experiment with emerging AI technologies to enhance data-driven capabilities.

Collaboration and Communication :

• Collaborate with cross-functional teams, including sales, marketing, and supply chain, to understand business requirements and deliver data-driven solutions.
• Communicate complex data insights to stakeholders in a clear and concise manner.
• Present data findings and recommendations through visualizations and reports.

Requirements :

• Bachelor’s or master’s degree in data science, Statistics, Computer Science, or a related field.
• Strong proficiency in SQL and Python (Pandas, NumPy, Scikit-learn).
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Solid understanding of statistical modeling and machine learning techniques.
• Proven ability to clean, process, and analyze large datasets.
• Experience with ETL processes and data warehousing.
• Strong analytical and problem-solving skills.
• Excellent communication and presentation skills.

Preferred Qualifications :

• Experience with Agentic frameworks (e.g., Auto-GPT, Lang Chain, etc.).
• Familiarity with cloud platforms (AWS, Azure, GCP) and their data services.
• Experience with time series analysis and forecasting.
• Knowledge of supply chain management and inventory optimization.
• Experience with customer segmentation and lifetime value analysis.
• Knowledge of natural language processing (NLP) and text analysis.

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