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Manager - Analytics & Data Science

Role Overview

The role requires a Data Science and Machine Learning professional with 7+ years of experience in Python, ML/AI, statistics, and advanced analytics.
The candidate should have expertise in developing commonly used ML models, analyzing large datasets.
Key skills include Pricing Analytics, Forecasting, Segmentation, A/B Testing, and Test & Learn frameworks, along with hands-on experience in ML techniques such as Linear Regression, Decision Trees, Random Forest, Gradient Boosting, and K-Means Clustering.
Robust proficiency in Python, SQL, Excel, and visualization tools is essential, with experience in libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, Seaborn, and Plotly. Exposure to Tableau, Power BI, Generative AI, and Prompt Engineering would be an added advantage.




Beyond technical expertise, the role requires strong communication, stakeholder management, problem-solving abilities, and a proactive mindset.
The ideal candidate should be able to translate analytics into business recommendations, engage in strategic discussions and solutioning, and effectively balance technical delivery with business impact.

Other considerations
Strong hands-on Data Science / ML / Python skills are non-negotiable.
Strong methodological thinking and communication skills are critical. The work is complex from a methodology perspective, so the individual needs to be able to understand complex problems and communicate the approach and outcomes in a simple, effective way to stakeholders.
A strong research mindset is required. While there are established testing methodologies we use today, the expectation is to continuously research, experiment, and identify new and better approaches.
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📌 Manager - Analytics & Data Science (Bengaluru)
🏢 Dentsu Global Services
📍 Bengaluru