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Retail Insight Analyst
2 weeks ago
At our retail intelligence platform, we empower businesses to drive product-level profitability and grow margins using data-driven real-time competitive insights.
Job Description: As a Junior/Senior Data Scientist, you will work closely with senior data scientists and business stakeholders to identify data-driven insights and opportunities. Develop predictive models to support business decisions in the retail sector, analyze retail data sets using statistical techniques and machine learning algorithms, collaborate with senior data scientists and business stakeholders to identify data-driven insights and opportunities, develop and implement data pipelines for data processing and preparation, and support the development of reports and dashboards to visualize and communicate data insights.
- A minimum of 2-3 years of experience in Data Science with a strong understanding of Python and its data science libraries such as NumPy, Pandas, and Scikit-learn.
- Strong understanding of statistical techniques and their applications in the retail sector.
- Lead a team of data scientists and collaborate closely with key business stakeholders.
- Develop advanced machine learning models and neural networks to solve complex problems in the retail and e-commerce sectors.
- Experiment with LLMs (Large Language Models).
- Lead the design and development of scalable data pipelines.
- Mentor junior data scientists.
- Drive the deployment of predictive models into production.
Our company offers a comprehensive suite of solutions encompassing product matching, digital shelf analytics, assortment & availability, pricing & promotions, and brand compliance, to aid retailers and brands in all strategic and operational decision-making. Its patented product matching engine and proprietary AI offer 99% data accuracy and 10-second data refresh rates.
Join us and stay up-to-date with the latest developments in the field of data science and retail analytics.
