- Robust expertise in Time Series Forecasting, Regression, Classification, and Clustering techniques, with the ability to design, review, and recommend analytical solutions.

- Hands-on experience in Machine Learning and Deep Learning model development and deployment.

- Demonstrated expertise in at least 1-2 business analytics domains, such as:

- Pricing & Promotion Optimization

- Next Best Recommendation

- Sales Spend Optimization

- Supply Chain Optimization

- Experience working with cloud-based analytics platforms such as Azure, AWS, or GCP.

- Excellent communication, presentation, and stakeholder management skills, with the ability to translate complex analytical insights into business recommendations.

- Strong knowledge of DBMS concepts and advanced SQL skills.

- Ability to evaluate, innovate,



and implement advanced analytical techniques to enhance business value and client outcomes.

- Demand Forecasting

- Customer Segmentation

- Customer Value Management (CLV)

- Marketing Mix Modeling (MMM)

- Deep proficiency in Python or R for advanced analytics and model development.

- Solid understanding of statistical concepts, data analysis, and data wrangling using SQL, databases, and Excel.

- Graduate/Postgraduate from Tier-I or Tier-II institutes; Master's preferred in Statistics, Mathematics, Operational Research, Economics, or related quantitative disciplines.

- 7 to 11 years of experience in Data Science, with at least 70% relevant experience in analytics, statistical modeling, machine learning, or AI.

📌 Data science M and SC (India)
🏢 TRIGENT SOFTWARE PRIVATE
📍 India