Data Scientist for Pricing Optimization and Forecasting

2 weeks ago


Mumbai, Maharashtra, India VolgaInfotech Pvt. Ltd Full time

Position Overview

We are seeking a highly skilled Data Scientist to join our team at VolgaInfotech Pvt. Ltd.

The ideal candidate will play a critical role in designing, building, and deploying a real-time dynamic pricing system that adjusts to competitor price movements and market conditions.

Key Responsibilities

  • Design and build AI/ML models to recommend optimal real-time prices for specific products.
  • Develop algorithms to dynamically adjust prices based on different conditions.
  • Implement and validate predictive models for forecasting price sensitivity and demand elasticity.

Data Extraction and Management

  • Extract, clean, and preprocess data from internal and external sources.
  • Work with APIs and web scraping tools to gather real-time competitor data.
  • Design ETL pipelines to manage large-scale datasets efficiently.

Feature Engineering and Analytics

  • Identify key features and variables impacting pricing decisions.
  • Perform exploratory data analysis (EDA) to uncover insights and trends.
  • Collaborate with stakeholders to define business metrics and key performance indicators (KPIs).

Deployment and Real-time Integration

  • Deploy machine learning models into production systems to deliver real-time price recommendations.
  • Monitor and fine-tune models to ensure accuracy and adaptability in dynamic environments.
  • Collaborate with engineering teams to integrate solutions with existing systems.

Stakeholder Collaboration

  • Partner with product, marketing, and operations teams to align pricing strategies with business objectives.
  • Present findings and recommendations to stakeholders in a clear and actionable manner.

Required Skills and Qualifications

  • Bachelor's or Master's degree in computer science, Data Science, Mathematics, Economics, or a related field.
  • 5+ years of hands-on experience in data science, machine learning, or applied statistics.
  • Proven experience in building and deploying pricing optimization models or similar systems.

Technical Skills

  • Proficiency in Python (e.g., pandas, NumPy, scikit-learn, TensorFlow, PyTorch).
  • Experience in optimization algorithms, statistical modeling, and time-series forecasting.
  • Experience with SQL and NoSQL databases for data extraction and management.
  • Hands-on experience with cloud platforms (AWS, Azure, or GCP) for deploying ML solutions.
  • Familiarity with web scraping tools (e.g., BeautifulSoup, Scrapy) and API integrations.

Analytical Skills

  • Strong foundation in data analysis, feature engineering, and predictive modeling.
  • Expertise in demand forecasting and price elasticity modeling is a plus.

Salary Range

$120,000 - $180,000 per annum, depending on experience and qualifications.



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