Responsibilities -
- Work with a team of high-performing Data Scientists and cross-functional teams to identify business opportunities, optimize product performance or marketing efforts
- Analyze large-scale structured and unstructured data; develop deep-dive analyses and machine learning models in retail, marketing, merchandising, and other areas of the business
- Utilize data mining and statistical techniques to derive business value from store, product, operations, financial, and customer transactional data
- Apply multiple algorithms or architectures and recommend the best model with in-depth description to evangelize data-driven business decisions
- Utilize cloud setup to extract processed data for statistical modelling and big data analysis, and visualization tools to represent large sets of time series/cross-sectional data
- Follow industry standards in coding solutions and follow programming life cycle to ensure standard practices across the project
- Structure hypothesis, build thoughtful analyses, develop underlying data models, and bring clarity to previously undefined problems
- Devise customized learning plan for the team to adopt respective skills and meet organisational vision, leadership, performance, etc.
- Work collaboratively across multiple sets of stakeholders - Business functions, Data Engineers, Data Visualization experts to deliver on project deliverables
- Articulate complex data science models to business teams and present the insights in easily understandable and innovative formats
- Proactively recommend multiple approaches along with their pros & cons to the business stakeholders and support making the right decisions
Qualifications and experience -
- Bachelor's degree/Masters Degree required, preferably with a quantitative focus (Statistics, Business Analytics, Data Science, Math, Economics, etc.)
- 10-14 years of relevant industry experience in a data science/advanced analytics role
- Ability to delivery, strong disposition towards business and strong interpersonal communication
- Individual must be organized, dependable, able to multi-task and manage priorities, display initiative, and must have the ability to lead teams in a demanding, fast-paced environment
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