Data Scientist

Position: Data Scientist Level 2

Experience Level: 3-6 Years

Industry: E-commerce

Location: Vikhroli, Mumbai

Employment Type: Full-time

About Us:

We are a fast-growing e-commerce company that thrives on data-driven decision-making to enhance the online shopping experience. As part of our mission, we leverage advanced analytics, machine learning, and cutting-edge technologies to deliver personalized customer experiences, optimize business processes, and drive innovation. Join our team to work on challenging projects related to customer behavior, product recommendations, dynamic pricing strategies, and business optimization.

Key Responsibilities:

• Advanced Data Analysis: Conduct in-depth analyses of large datasets from multiple sources, such as clickstream data, sales transactions, and user behavior, to uncover actionable insights.
• Machine Learning: Develop, implement, and maintain sophisticated machine learning models for use cases including recommendations, personalization, customer segmentation, demand forecasting, and price optimization.
• A/B Testing: Design and analyze experiments to evaluate the impact of new product features, marketing campaigns, and user experiences on business metrics.
• Data Engineering Collaboration: Work closely with data engineers to ensure robust, accurate, and scalable data pipelines for analysis and model deployment.
• Cross-functional Collaboration: Partner with product, marketing, and engineering teams to identify data needs, define analytical approaches, and deliver impactful insights.
• Dashboard Development: Create and maintain dashboards using modern visualization tools to present findings and track key performance metrics.
• Exploratory Data Analysis: Investigate trends, anomalies, and patterns in data to guide strategy and optimize performance across various business units.
• Optimization Strategies: Apply statistical and machine learning methods to optimize critical areas such as supply chain operations, customer acquisition, retention strategies, and pricing models.

Required Skills:

• Programming: Proficiency in Python (preferred) or R for data analysis and machine learning.
• SQL Expertise: Advanced skills in querying and managing large datasets.
• Machine Learning Frameworks: Hands-on experience with tools like Scikit-learn, TensorFlow, or PyTorch.
• Data Processing: Strong expertise in data wrangling and transformation for model readiness.
• A/B Testing: Deep understanding of experimental design and statistical inference.
• Visualization: Experience with tools such as Tableau, Power BI, Matplotlib, or Seaborn to create insightful visualizations.
• Statistics: Strong foundation in probability, hypothesis testing, and predictive modeling techniques.
• Communication: Exceptional ability to translate technical findings into actionable business insights.

Preferred Qualifications:

• Domain Knowledge: Prior experience with e-commerce datasets, including user behavior, transaction data, and inventory management.
• Big Data: Familiarity with Hadoop, Spark, or BigQuery for managing and analyzing massive datasets.
• Cloud Platforms: Proficiency with cloud platforms like AWS, Google Cloud Platform (GCP), or Azure for data storage, computation, and model deployment.
• Business Acumen: Understanding of critical e-commerce metrics such as conversion rates, customer lifetime value (LTV), and customer acquisition costs (CAC).

Educational Qualifications:

• Bachelor’s or Master’s degree in Data Science, Computer Science, Mathematics, Statistics, or a related quantitative field. Advanced certifications in machine learning or data science are a plus.

Why Join Us?

• Work on high-impact projects that shape the future of e-commerce.
• Be part of a collaborative and innovative culture that values continuous learning.
• Access to cutting-edge technologies and resources for professional growth.
• Competitive compensation package with perks and benefits.

We look forward to bringing on board talented and passionate individuals who are eager to make a difference with data.