Data Scientist
Bengaluru, Karnataka, India
- Remote-first
- Website
- @weekdayworks 𝕏
- Search
Weekday
At Weekday, we help companies hire engineers who are vouched by other software engineers. We are enabling engineers to earn passive income by leveraging & monetizing the unused information in their head about the best people they have worked...This role is for one of the Weekday's clients
Salary range: Rs 1500000 - Rs 2500000 (ie INR 15-25 LPA)
Min Experience: 5 years
Location: Bengaluru
JobType: full-time
We are looking for an experienced Data Scientist with 5–8 years of hands-on expertise, ideally within the Retail or Consumer Packaged Goods (CPG) domain. The ideal candidate will possess a strong analytical foundation and a proven ability to derive actionable insights from complex datasets, particularly in areas like product analytics, geospatial data, and sales performance.
Requirements
Key Responsibilities
Functional Expertise:
- Category/Product Analytics (Must Have): Analyze product assortments, identify emerging trends, and evaluate new product performance.
- Geo-Spatial Analytics (Must Have): Work with GIS tools such as ArcGIS or QGIS for spatial matching, trade area analysis, and spatial data visualization.
- Sales Data Analysis (Must Have): Analyze historical sales trends, forecast future performance, and identify key sales drivers.
- Customer Analytics (Good to Have): Utilize loyalty and campaign data to improve targeting, segmentation, and performance measurement.
Technical Skills & Tools
- Strong storytelling and data presentation skills, with the ability to communicate insights clearly to non-technical stakeholders.
- Proficiency in Azure Databricks, Python, SQL, and R.
- Solid understanding of machine learning algorithms, model evaluation, and principles of explainable AI.
- Experience with data visualization tools such as Power BI or Spotfire is a plus.
Preferred Skills
- Geo-spatial analytics
- GIS tools: ArcGIS, QGIS
- Spatial matching & trade area analysis
- Product assortment & performance analysis
- Sales forecasting & trend analysis
- Customer behavior and loyalty analytics
- Cloud and big data tools: Azure Databricks
- Programming: Python, SQL, R
- Data storytelling and stakeholder communication
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Azure Big Data Data analysis Databricks Data visualization Machine Learning Power BI Python R Spotfire SQL
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