Data Scientist - I (Mumbai)

Purplle.com · Mumbai City

  • Experience0–4 yrs
  • SalaryNot disclosed
  • Work modeonsite
  • Posted29 Sept 2026
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About Purplle.com

Purplle.com is hiring in Mumbai City in ecommerce retail. This role looks for around 0+ years of experience.

Skills

  • Python
  • R
  • SQL
  • scikit-learn
  • TensorFlow
  • PyTorch
  • Data Wrangling
  • A/B Testing
  • Tableau
  • Power BI
  • Matplotlib
  • Seaborn
  • Statistics and Probability

The role

A data scientist at an e-commerce marketplace develops machine learning models for recommendations, personalization, customer segmentation, demand forecasting, and pricing, using Python, SQL, and A/B Testing. The role also applies Statistics and Probability to interpret experiments and communicate actionable findings.

Full job description

Key Responsibilities

- Data Analysis & Insights: Analyze large datasets from multiple sources (clickstream, sales, user engagement) to uncover insights and support business decision-making.

- Machine Learning: Develop, deploy, and maintain machine learning models for recommendations, personalization, customer segmentation, demand forecasting, and pricing.

- A/B Testing: Design and analyze A/B tests to evaluate the performance of product features, marketing campaigns, and user experiences.

- Data Pipeline Development: Work closely with data engineering teams to ensure the availability of accurate and timely data for analysis.

- Collaborate with Cross-functional Teams: Partner with product, marketing, and engineering teams to deliver actionable insights and improve platform performance.

- Data Visualization: Build dashboards and visualizations to communicate findings to stakeholders in an understandable and impactful way.

- Exploratory Analysis: Identify trends, patterns, and outliers to help guide business strategy and performance improvements.

Required Skills:

- Proficiency in Python or R: Experience in using Python or R for data analysis and machine learning.

- SQL: Strong SQL skills to query and manipulate large datasets.

- Machine Learning Frameworks: Familiarity with libraries such as Scikit-learn, TensorFlow, or PyTorch.

- Data Wrangling: Ability to clean, organize, and manipulate data from various sources.

- A/B Testing: Experience designing experiments and interpreting test results.

- Visualization Tools: Proficiency with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn).

- Statistics & Probability: Strong grasp of statistical methods, hypothesis testing, and probability theory.

- Communication: Ability to convey complex findings in transparent, simple terms for non-technical stakeholders.

Preferred Qualifications:

- E-commerce Experience: Experience working with e-commerce datasets (e.g., user behavior, transaction data, inventory, and product data).

- Experience with Big Data: Familiarity with big data technologies (e.g., Hadoop, Spark, BigQuery).

- Cloud Platforms: Experience with cloud platforms like AWS, GCP, or Azure for data storage and model deployment.

- Business Acumen: Understanding of key business metrics in e-commerce, such as conversion rates, LTV, and customer acquisition cost (CAC).

Education:

- Bachelors or Masters degree in Data Science, Computer Science, Mathematics, Statistics, or related field. .