Data Scientist - ECommerce

Department Icon Data Science Analytics & Machine Learning
Posted: 2 weeks ago
2-5 years
Bangalore
Data Science Analytics & Machine Learning
work from office
Full Time
Closes 27 Dec 2026

Posted: 2 weeks ago
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Posted over 15 days ago, so the role may have closed. Confirm on the employer's page when you apply, or see similar jobs.

Job Description

JD - Data Scientist (E-Commerce):

  • This is a full-time opportunity with D Square Consulting Services Pvt. Ltd.
  • Experience: 2+ years
  • Location: Bangalore (On-site)
  • The candidate who can join within 30 days may only apply.

Job Summary:

We are seeking a Data Scientist who will work on digital and e-commerce data, using analytical and modelling techniques to draw meaningful insights that drive online business growth. The ideal candidate combines technical proficiency with business understanding and a storytelling mindset to translate data into actionable strategies.

Must-Have Skills & Tools:

  • Proficiency in Python and SQL
  • Solid understanding of data extraction, manipulation, and analysis
  • Knowledge of streamlit and frontend applications.
  • Experience with data preprocessing and feature engineering
  • Ability to design and evaluate predictive models
  • Good communication and data storytelling skills
  • Strong problem-solving and stakeholder management abilities
  • Basic understanding of data visualisation tools (Tableau, Power BI, or similar)

Good to Have:

  • Exposure to marketing analytics or digital campaign optimization
  • Familiarity with web and e-commerce platforms data (Google Analytics, Shopify, etc.)
  • Experience with A/B testing and customer segmentation

Roles & Responsibilities:

  • Analyze customer behavior, campaign performance, and transaction data to identify trends and opportunities
  • Build and deploy analytical models to optimize marketing and sales strategies
  • Translate analytical findings into actionable insights for business teams
  • Develop dashboards and visual reports to track business KPIs
  • Collaborate with marketing, product, and technology teams to define data-driven strategies

Skills

Data ScienceData AnalyticsAnalyticsPythonSQLData VisualizationData ScientistECommercePythonData ExtractionMarketing AnalyticsData ScientistAnalyticsSqlFeature Engineering

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