Group Manager - Data Science

Job Overview for leading data science initiatives, developing advanced analytics models and ensuring successful execution of data-driven projects for clients in the retail. Will work closely with key client stakeholders to understand their business challenges and leverage data science to deliver actionable insights that drive business growth and efficiency.

• Lead the design, development and implementation of advanced analytics models. Including predictive and prescriptive models for retail clients.
• Should be able to convert mathematical / statistics-based research into sustainable data science solutions
• Candidate should be able to think from first principles to define & evangelize solutions for any client business problem
• Leverage deep knowledge of the retail to develop data-driven solutions that address industry-specific challenges. Apply AI / ML statistical methods to solve complex business problems and determine new opportunities for clients.
• Ensure project delivery of high-quality, actionable insights that drive business decisions and outcomes.
• Ensure end-to-end lifecycle (scoping to Delivery) of data science projects.
• Collaborate with cross-functional teams to ensure seamless project execution.
• Manage timelines, resources, and deliverables to meet client expectations and project goals.
• Drive innovation by exploring new data science techniques, tools, and technologies that can

enhance the value delivered to clients.

machine learning frameworks).

clustering, decision tree, random forest, support vector machine, na- ve Bayes, GBM, XGBoost,

multiple linear regression, logistic regression, and ARIMA / ARIMAX.

analytical skills and have experience in the creation and / or evaluation of predictive models.

modelling, churn modelling, market basket analysis, etc

effectively to a wide range of audiences, both technical and business. Adept in creating

Presentations, reports etc to present theanalysis findings to key client stakeholders.

Qualifications :

(ref : hirist.tech)