Data Scientist in Purplle.com

Job Description

Vandiperiyar

12 days ago Full–time 

Job description
Position: Data Scientist

Experience Level: 1-3 Years

Industry: E-commerce

Location: Mumbai

Employment Type: Full-time

About Us:

We are a fast-growing e-commerce company seeking a Data Scientist to join our dynamic team. We thrive on data-driven decision-making and are dedicated to enhancing the online shopping experience through the power of data. As a Data Scientist, you will have the opportunity to contribute to our mission by working on exciting projects related to customer behavior, product recommendations, pricing strategies, and business optimization.

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 clear, 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:
Bachelor’s or Master’s degree in Data Science, Computer Science, Mathematics, Statistics, or related field.

Vandiperiyar