Data Scientist II

4 weeks ago

Mumbai, Maharashtra, India Purplle Full time

Position : Data Scientist II.

Experience Level : 3-6 Years.

Industry : E-commerce.

Location : Vikhroli, Mumbai.

Employment Type : Full-time.

- 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 :

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

- Advanced certifications in machine learning or data science are a plus.

(ref:hirist.tech)

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