Manager Analytics & Data Science

Job Description:

Role requirement :

• 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.
• Strong 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.
• Strong problem-solving and stakeholder management skills are essential. The person should be able to quickly break down ambiguous problems identify solutions and effectively manage stakeholder expectations and communication.

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