Modelling & Data Science Executive-1

In this role you will be part of an advanced data analytics team consisting of colleagues possessing varying skill sets including data scientists, data engineers, visualization experts and other business analysts. The team member will apply advanced algorithms and optimization techniques to the design and improvement of client business operations and strategy. This role explores new frontiers in the application of modeling, simulation, and optimization methods with significant results with a focus on problems solving, solution design and development of analytical frameworks. Other responsibilities will include project scoping, planning, delivery generation, process adherence and client liaison, while ensuring adherence to quality standards and timeliness of delivery.

Justification
This is a key position supporting client organization with strong Analytics and data science capabilities. There is significant revenue and future opportunities associated with this role.

• Bachelor’s or Master’s in Business analytics, Data Science, Mathematics, Statistics or equivalent experience
• 3-4 years’ experience with Quantitative Modeling and Predictive or Forecasting Methodologies
• Experienced with the application of statistics and data-analysis in a business environment

• Experience in data analytics, advanced analytics, data science or related field
• Has advanced level experience using SQL (or Google Big Query), Python
• Understands retail/CPG domain with experience on product, transaction and customer level data
• Strong interpersonal communications skills (verbal, presentation and written)
• Strong problem-solving skills, analytical and inquisitive mindset
• Focused on results and able to work closely with others in collaborative environment
• Energetic & Self-Starting

• Descriptive Analytics: Statistical analysis, data visualization (Tableau)
• Predictive Analytics: Regression analysis, time series forecasting, classification techniques, market mix modeling
• Prescriptive Analytics: Optimization, simulation modeling.
• Text Analytics: Natural Language Processing (NLP), sentiment analysis.

• Supervised Learning: Linear regression, logistic regression, decision trees, support vector machines, random forests, gradient boosting machines among others
• Unsupervised Learning: K-means clustering, hierarchical clustering, principal component analysis (PCA), anomaly detection among others
• Reinforcement Learning: Q-learning, deep Q-networks, etc.

• Researching, loading and application of the best LLMs (GPT, Gemini, LLAMA, etc.) for various objectives
• Hyper parameter tuning
• Prompt Engineering

DGS India - Bengaluru - Manyata N1 Block Merkle Full time Permanent